diff --git a/druid-handler/pom.xml b/druid-handler/pom.xml
index dcc5ebd8a481..d59c394da24c 100644
--- a/druid-handler/pom.xml
+++ b/druid-handler/pom.xml
@@ -353,10 +353,15 @@
io.netty
org.apache.hive.druid.io.netty
+
org.jboss.netty
org.apache.hive.druid.org.jboss.netty
@@ -379,7 +384,8 @@
org.apache.druid:*
org.apache.druid.extensions:*
io.netty:*
- org.apache.calcite:*
+
+
com.fasterxml.jackson.core:*
com.fasterxml.jackson.datatype:*
com.fasterxml.jackson.dataformat:*
diff --git a/hbase-handler/src/test/results/positive/hbase_queries.q.out b/hbase-handler/src/test/results/positive/hbase_queries.q.out
index 9eb409dc515e..b5d62a886b0c 100644
--- a/hbase-handler/src/test/results/positive/hbase_queries.q.out
+++ b/hbase-handler/src/test/results/positive/hbase_queries.q.out
@@ -148,7 +148,7 @@ STAGE PLANS:
alias: hbase_table_1
Statistics: Num rows: 1 Data size: 4 Basic stats: COMPLETE Column stats: NONE
Filter Operator
- predicate: UDFToDouble(key) is not null (type: boolean)
+ predicate: key is not null (type: boolean)
Statistics: Num rows: 1 Data size: 4 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: UDFToDouble(key) (type: double)
@@ -604,7 +604,7 @@ STAGE PLANS:
alias: hbase_table_1
Statistics: Num rows: 1 Data size: 188 Basic stats: COMPLETE Column stats: NONE
Filter Operator
- predicate: UDFToDouble(key) is not null (type: boolean)
+ predicate: key is not null (type: boolean)
Statistics: Num rows: 1 Data size: 188 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: key (type: int), value (type: string), UDFToDouble(key) (type: double)
diff --git a/iceberg/iceberg-handler/src/test/results/positive/dynamic_partition_pruning.q.out b/iceberg/iceberg-handler/src/test/results/positive/dynamic_partition_pruning.q.out
index a8920ac102dd..39192866d9cb 100644
--- a/iceberg/iceberg-handler/src/test/results/positive/dynamic_partition_pruning.q.out
+++ b/iceberg/iceberg-handler/src/test/results/positive/dynamic_partition_pruning.q.out
@@ -1458,37 +1458,40 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: srcpart_double_hour_n0
- filterExpr: ((UDFToDouble(hour) = 11.0D) and CAST( UDFToInteger((hr / 2.0D)) AS STRING) is not null) (type: boolean)
+ filterExpr: ((UDFToDouble(hour) = 11.0D) and hr is not null) (type: boolean)
Statistics: Num rows: 2 Data size: 188 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((UDFToDouble(hour) = 11.0D) and CAST( UDFToInteger((hr / 2.0D)) AS STRING) is not null) (type: boolean)
+ predicate: ((UDFToDouble(hour) = 11.0D) and hr is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 94 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: CAST( UDFToInteger((hr / 2.0D)) AS STRING) (type: string)
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: COMPLETE
- Reduce Output Operator
- key expressions: _col0 (type: string)
- null sort order: z
- sort order: +
- Map-reduce partition columns: _col0 (type: string)
- Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: COMPLETE
- Select Operator
- expressions: _col0 (type: string)
- outputColumnNames: _col0
+ Filter Operator
+ predicate: _col0 is not null (type: boolean)
Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: COMPLETE
- Group By Operator
- keys: _col0 (type: string)
- minReductionHashAggr: 0.4
- mode: hash
+ Reduce Output Operator
+ key expressions: _col0 (type: string)
+ null sort order: z
+ sort order: +
+ Map-reduce partition columns: _col0 (type: string)
+ Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: COMPLETE
+ Select Operator
+ expressions: _col0 (type: string)
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: COMPLETE
- Dynamic Partitioning Event Operator
- Target column: hr (string)
- Target Input: srcpart_iceberg
- Partition key expr: hr
+ Group By Operator
+ keys: _col0 (type: string)
+ minReductionHashAggr: 0.4
+ mode: hash
+ outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: COMPLETE
- Target Vertex: Map 1
+ Dynamic Partitioning Event Operator
+ Target column: hr (string)
+ Target Input: srcpart_iceberg
+ Partition key expr: hr
+ Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: COMPLETE
+ Target Vertex: Map 1
Execution mode: vectorized
Reducer 2
Reduce Operator Tree:
@@ -1587,21 +1590,24 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: srcpart_double_hour_n0
- filterExpr: ((UDFToDouble(hour) = 11.0D) and CAST( UDFToInteger((hr / 2.0D)) AS STRING) is not null) (type: boolean)
+ filterExpr: ((UDFToDouble(hour) = 11.0D) and hr is not null) (type: boolean)
Statistics: Num rows: 2 Data size: 188 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((UDFToDouble(hour) = 11.0D) and CAST( UDFToInteger((hr / 2.0D)) AS STRING) is not null) (type: boolean)
+ predicate: ((UDFToDouble(hour) = 11.0D) and hr is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 94 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: CAST( UDFToInteger((hr / 2.0D)) AS STRING) (type: string)
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: COMPLETE
- Reduce Output Operator
- key expressions: _col0 (type: string)
- null sort order: z
- sort order: +
- Map-reduce partition columns: _col0 (type: string)
+ Filter Operator
+ predicate: _col0 is not null (type: boolean)
Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: COMPLETE
+ Reduce Output Operator
+ key expressions: _col0 (type: string)
+ null sort order: z
+ sort order: +
+ Map-reduce partition columns: _col0 (type: string)
+ Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: COMPLETE
Execution mode: vectorized
Reducer 2
Reduce Operator Tree:
@@ -3484,37 +3490,40 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: srcpart_double_hour_n0
- filterExpr: ((UDFToDouble(hour) = 11.0D) and CAST( UDFToInteger((hr / 2.0D)) AS STRING) is not null) (type: boolean)
+ filterExpr: ((UDFToDouble(hour) = 11.0D) and hr is not null) (type: boolean)
Statistics: Num rows: 2 Data size: 188 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((UDFToDouble(hour) = 11.0D) and CAST( UDFToInteger((hr / 2.0D)) AS STRING) is not null) (type: boolean)
+ predicate: ((UDFToDouble(hour) = 11.0D) and hr is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 94 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: CAST( UDFToInteger((hr / 2.0D)) AS STRING) (type: string)
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: COMPLETE
- Reduce Output Operator
- key expressions: _col0 (type: string)
- null sort order: z
- sort order: +
- Map-reduce partition columns: _col0 (type: string)
+ Filter Operator
+ predicate: _col0 is not null (type: boolean)
Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: COMPLETE
- Select Operator
- expressions: _col0 (type: string)
- outputColumnNames: _col0
- Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: COMPLETE
- Group By Operator
- keys: _col0 (type: string)
- minReductionHashAggr: 0.4
- mode: hash
+ Reduce Output Operator
+ key expressions: _col0 (type: string)
+ null sort order: z
+ sort order: +
+ Map-reduce partition columns: _col0 (type: string)
+ Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: COMPLETE
+ Select Operator
+ expressions: _col0 (type: string)
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: COMPLETE
- Dynamic Partitioning Event Operator
- Target column: hr (string)
- Target Input: srcpart_iceberg
- Partition key expr: hr
+ Group By Operator
+ keys: _col0 (type: string)
+ minReductionHashAggr: 0.4
+ mode: hash
+ outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: COMPLETE
- Target Vertex: Map 1
+ Dynamic Partitioning Event Operator
+ Target column: hr (string)
+ Target Input: srcpart_iceberg
+ Partition key expr: hr
+ Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: COMPLETE
+ Target Vertex: Map 1
Execution mode: vectorized
Reducer 2
Execution mode: vectorized
diff --git a/iceberg/iceberg-handler/src/test/results/positive/merge_iceberg_copy_on_write_unpartitioned.q.out b/iceberg/iceberg-handler/src/test/results/positive/merge_iceberg_copy_on_write_unpartitioned.q.out
index 4b413fb80f16..115992d60112 100644
--- a/iceberg/iceberg-handler/src/test/results/positive/merge_iceberg_copy_on_write_unpartitioned.q.out
+++ b/iceberg/iceberg-handler/src/test/results/positive/merge_iceberg_copy_on_write_unpartitioned.q.out
@@ -621,7 +621,7 @@ STAGE PLANS:
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8
Statistics: Num rows: 8 Data size: 3884 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((((_col5 <> _col8) or (_col5 <= 100)) and _col5 is not null) or (_col5 is null or ((_col5 = _col8) and (_col5 > 100))) is null) (type: boolean)
+ predicate: ((_col5 <> _col8) or (_col5 <= 100) or (_col5 is null or ((_col5 = _col8) and (_col5 > 100))) is null) (type: boolean)
Statistics: Num rows: 8 Data size: 3884 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col0 (type: int), _col1 (type: bigint), _col2 (type: string), _col3 (type: bigint), _col4 (type: string), _col5 (type: int), _col6 (type: string), _col7 (type: int)
diff --git a/itests/hive-blobstore/src/test/results/clientpositive/insert_into_dynamic_partitions.q.out b/itests/hive-blobstore/src/test/results/clientpositive/insert_into_dynamic_partitions.q.out
index 4735e1978c1d..e04912b5fe1a 100644
--- a/itests/hive-blobstore/src/test/results/clientpositive/insert_into_dynamic_partitions.q.out
+++ b/itests/hive-blobstore/src/test/results/clientpositive/insert_into_dynamic_partitions.q.out
@@ -87,7 +87,7 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: _dummy_database@_dummy_table
POSTHOOK: Output: default@table1
OPTIMIZED SQL: SELECT *
-FROM TABLE(INLINE(ARRAY[(1, '101'), (2, '202'), (3, '303'), (4, '404'), (5, '505')]))
+FROM TABLE(INLINE(ARRAY ((1, '101'), (2, '202'), (3, '303'), (4, '404'), (5, '505'))))
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
diff --git a/itests/hive-blobstore/src/test/results/clientpositive/insert_into_table.q.out b/itests/hive-blobstore/src/test/results/clientpositive/insert_into_table.q.out
index bb60ea80cece..322d7eea016d 100644
--- a/itests/hive-blobstore/src/test/results/clientpositive/insert_into_table.q.out
+++ b/itests/hive-blobstore/src/test/results/clientpositive/insert_into_table.q.out
@@ -51,7 +51,7 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: _dummy_database@_dummy_table
POSTHOOK: Output: default@table1
OPTIMIZED SQL: SELECT *
-FROM TABLE(INLINE(ARRAY[(1)]))
+FROM TABLE(INLINE(ARRAY ((1))))
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-7 depends on stages: Stage-1 , consists of Stage-4, Stage-3, Stage-5
diff --git a/itests/hive-blobstore/src/test/results/clientpositive/insert_overwrite_dynamic_partitions.q.out b/itests/hive-blobstore/src/test/results/clientpositive/insert_overwrite_dynamic_partitions.q.out
index 0d804540f98a..e276c42f5ec7 100644
--- a/itests/hive-blobstore/src/test/results/clientpositive/insert_overwrite_dynamic_partitions.q.out
+++ b/itests/hive-blobstore/src/test/results/clientpositive/insert_overwrite_dynamic_partitions.q.out
@@ -105,7 +105,7 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: _dummy_database@_dummy_table
POSTHOOK: Output: default@table1
OPTIMIZED SQL: SELECT *
-FROM TABLE(INLINE(ARRAY[(1, '101'), (2, '202'), (3, '303'), (4, '404'), (5, '505')]))
+FROM TABLE(INLINE(ARRAY ((1, '101'), (2, '202'), (3, '303'), (4, '404'), (5, '505'))))
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
diff --git a/itests/hive-blobstore/src/test/results/clientpositive/insert_overwrite_table.q.out b/itests/hive-blobstore/src/test/results/clientpositive/insert_overwrite_table.q.out
index 17e71e96d714..5ec5333af3b2 100644
--- a/itests/hive-blobstore/src/test/results/clientpositive/insert_overwrite_table.q.out
+++ b/itests/hive-blobstore/src/test/results/clientpositive/insert_overwrite_table.q.out
@@ -59,7 +59,7 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: _dummy_database@_dummy_table
POSTHOOK: Output: default@table1
OPTIMIZED SQL: SELECT *
-FROM TABLE(INLINE(ARRAY[(1)]))
+FROM TABLE(INLINE(ARRAY ((1))))
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-7 depends on stages: Stage-1 , consists of Stage-4, Stage-3, Stage-5
diff --git a/kudu-handler/src/test/results/positive/kudu_complex_queries.q.out b/kudu-handler/src/test/results/positive/kudu_complex_queries.q.out
index 4cd80f53e759..c5c2ebc28009 100644
--- a/kudu-handler/src/test/results/positive/kudu_complex_queries.q.out
+++ b/kudu-handler/src/test/results/positive/kudu_complex_queries.q.out
@@ -85,10 +85,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: kv_table
- filterExpr: UDFToDouble(key) is not null (type: boolean)
+ filterExpr: key is not null (type: boolean)
Statistics: Num rows: 309 Data size: 1236 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: UDFToDouble(key) is not null (type: boolean)
+ predicate: key is not null (type: boolean)
Statistics: Num rows: 309 Data size: 1236 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: UDFToDouble(key) (type: double)
@@ -246,7 +246,7 @@ STAGE PLANS:
filterExpr: (key > 100) (type: boolean)
Statistics: Num rows: 309 Data size: 29355 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (((key % 2) = 0) and UDFToDouble(key) is not null) (type: boolean)
+ predicate: ((key % 2) = 0) (type: boolean)
Statistics: Num rows: 154 Data size: 14630 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: int), value (type: string), UDFToDouble(key) (type: double)
diff --git a/pom.xml b/pom.xml
index 4481607165db..1d9fc14fa2e6 100644
--- a/pom.xml
+++ b/pom.xml
@@ -98,7 +98,7 @@
2.10
3.1.0
2.16.0
- 3.6.0
+ 3.6.2
5.3.4
7.7.0
3.5.3
@@ -113,7 +113,7 @@
2.0.0-M24
1.12.0
1.82
- 1.33.0
+ 1.42.0
6.0.5
6.0.11
3.2.0-release
diff --git a/ql/pom.xml b/ql/pom.xml
index 57672a607910..9394b967d5b5 100644
--- a/ql/pom.xml
+++ b/ql/pom.xml
@@ -365,6 +365,14 @@
hadoop-yarn-client
true
+
+ org.apache.httpcomponents.core5
+ httpcore5
+
+
+ org.apache.httpcomponents.client5
+ httpclient5
+
org.apache.orc
orc-tools
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/metadata/Hive.java b/ql/src/java/org/apache/hadoop/hive/ql/metadata/Hive.java
index 31f695ed558b..ae2372abdf57 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/metadata/Hive.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/metadata/Hive.java
@@ -28,6 +28,7 @@
import com.google.common.collect.Sets;
import com.google.common.util.concurrent.MoreExecutors;
import com.google.common.util.concurrent.ThreadFactoryBuilder;
+import org.apache.calcite.util.ConversionUtil;
import org.apache.commons.collections4.CollectionUtils;
import org.apache.commons.io.FilenameUtils;
import org.apache.commons.lang3.ObjectUtils;
@@ -569,6 +570,10 @@ private Hive(HiveConf c, boolean doRegisterAllFns) throws HiveException {
conf = c;
// turn off calcite rexnode normalization
System.setProperty("calcite.enable.rexnode.digest.normalize", "false");
+ // update calcite default charset
+ // TODO is this the right place? It's not considered in cases like TestHiveRelJsonReader
+ System.setProperty("calcite.default.charset", ConversionUtil.NATIVE_UTF16_CHARSET_NAME);
+ System.setProperty("calcite.default.nationalcharset", ConversionUtil.NATIVE_UTF16_CHARSET_NAME);
if (doRegisterAllFns) {
registerAllFunctionsOnce();
}
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/HiveCalciteUtil.java b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/HiveCalciteUtil.java
index b1b8003e21fd..d883c6c997ab 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/HiveCalciteUtil.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/HiveCalciteUtil.java
@@ -48,9 +48,12 @@
import org.apache.calcite.rex.RexDynamicParam;
import org.apache.calcite.rex.RexFieldAccess;
import org.apache.calcite.rex.RexInputRef;
+import org.apache.calcite.rex.RexLambda;
+import org.apache.calcite.rex.RexLambdaRef;
import org.apache.calcite.rex.RexLiteral;
import org.apache.calcite.rex.RexLocalRef;
import org.apache.calcite.rex.RexNode;
+import org.apache.calcite.rex.RexNodeAndFieldIndex;
import org.apache.calcite.rex.RexOver;
import org.apache.calcite.rex.RexPatternFieldRef;
import org.apache.calcite.rex.RexShuttle;
@@ -1139,6 +1142,21 @@ public Boolean visitSubQuery(RexSubQuery subQuery) {
public Boolean visitPatternFieldRef(RexPatternFieldRef fieldRef) {
return false;
}
+
+ @Override
+ public Boolean visitLambda(RexLambda lambda) {
+ return false;
+ }
+
+ @Override
+ public Boolean visitLambdaRef(RexLambdaRef lambdaRef) {
+ return false;
+ }
+
+ @Override
+ public Boolean visitNodeAndFieldIndex(RexNodeAndFieldIndex nodeAndFieldIndex) {
+ return false;
+ }
}
public static Set getInputRefs(RexNode expr) {
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/HiveRelBuilder.java b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/HiveRelBuilder.java
index 80ee1cb4647e..3ac0a1210e56 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/HiveRelBuilder.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/HiveRelBuilder.java
@@ -89,7 +89,8 @@ public static RelBuilderFactory proto(final Context context) {
return new RelBuilderFactory() {
@Override
public RelBuilder create(RelOptCluster cluster, RelOptSchema schema) {
- Context confContext = Contexts.of(Config.DEFAULT.withPruneInputOfAggregate(Bug.CALCITE_4513_FIXED));
+ Context confContext = Contexts.of(Config.DEFAULT.withPruneInputOfAggregate(Bug.CALCITE_4513_FIXED)
+ .withSimplifyValues(false)); // disabled to avoid simplifications that can create non-empty HiveValues
return new HiveRelBuilder(Contexts.chain(context, confContext), cluster, schema);
}
};
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/HiveRelShuttleImpl.java b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/HiveRelShuttleImpl.java
index ee85b00d5603..ca1cf9e61f93 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/HiveRelShuttleImpl.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/HiveRelShuttleImpl.java
@@ -24,6 +24,7 @@
import org.apache.calcite.rel.core.TableFunctionScan;
import org.apache.calcite.rel.core.TableScan;
import org.apache.calcite.rel.logical.LogicalAggregate;
+import org.apache.calcite.rel.logical.LogicalAsofJoin;
import org.apache.calcite.rel.logical.LogicalCalc;
import org.apache.calcite.rel.logical.LogicalCorrelate;
import org.apache.calcite.rel.logical.LogicalExchange;
@@ -33,6 +34,7 @@
import org.apache.calcite.rel.logical.LogicalMatch;
import org.apache.calcite.rel.logical.LogicalMinus;
import org.apache.calcite.rel.logical.LogicalProject;
+import org.apache.calcite.rel.logical.LogicalRepeatUnion;
import org.apache.calcite.rel.logical.LogicalSort;
import org.apache.calcite.rel.logical.LogicalTableModify;
import org.apache.calcite.rel.logical.LogicalUnion;
@@ -177,6 +179,16 @@ public RelNode visit(HiveTableScan scan) {
public RelNode visit(HiveJdbcConverter conv) {
return visitChild(conv, 0, conv.getInput());
}
+
+ @Override
+ public RelNode visit(LogicalAsofJoin logicalAsofJoin) {
+ return visitChildren(logicalAsofJoin);
+ }
+
+ @Override
+ public RelNode visit(LogicalRepeatUnion logicalRepeatUnion) {
+ return visitChildren(logicalRepeatUnion);
+ }
}
// End RelShuttleImpl.java
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/HiveTypeSystemImpl.java b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/HiveTypeSystemImpl.java
index 229801bb1544..661271bc7f68 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/HiveTypeSystemImpl.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/HiveTypeSystemImpl.java
@@ -19,8 +19,10 @@
import org.apache.calcite.rel.type.RelDataType;
import org.apache.calcite.rel.type.RelDataTypeFactory;
+import org.apache.calcite.rel.type.RelDataTypeFactoryImpl;
import org.apache.calcite.rel.type.RelDataTypeSystemImpl;
import org.apache.calcite.sql.type.SqlTypeName;
+import org.apache.calcite.sql.type.SqlTypeUtil;
import static org.apache.hadoop.hive.ql.udf.generic.GenericUDAFSum.SUM_RESULT_PRECISION_INCREASE;
@@ -53,7 +55,7 @@ public class HiveTypeSystemImpl extends RelDataTypeSystemImpl {
public int getMaxScale(SqlTypeName typeName) {
switch (typeName) {
case DECIMAL:
- return getMaxNumericScale();
+ return MAX_DECIMAL_SCALE;
case INTERVAL_YEAR:
case INTERVAL_MONTH:
case INTERVAL_YEAR_MONTH:
@@ -126,7 +128,7 @@ public int getDefaultPrecision(SqlTypeName typeName) {
public int getMaxPrecision(SqlTypeName typeName) {
switch (typeName) {
case DECIMAL:
- return getMaxNumericPrecision();
+ return MAX_DECIMAL_PRECISION;
case VARCHAR:
case CHAR:
return MAX_CHAR_PRECISION;
@@ -157,16 +159,6 @@ public int getMaxPrecision(SqlTypeName typeName) {
}
}
- @Override
- public int getMaxNumericScale() {
- return MAX_DECIMAL_SCALE;
- }
-
- @Override
- public int getMaxNumericPrecision() {
- return MAX_DECIMAL_PRECISION;
- }
-
@Override
public boolean isSchemaCaseSensitive() {
return false;
@@ -189,4 +181,40 @@ public RelDataType deriveSumType(RelDataTypeFactory typeFactory,
return argumentType;
}
+ /**
+ * Overridden because CALCITE-6464 changed the default behavior to match MS-SQL-Server-style algorithm,
+ * which can cause a drop in the scale computation, hence a precision loss in certain cases.
+ * We override this method to keep the "old behavior" (pre-CALCITE-6464); an alternative could be not
+ * overridding it (and keep the new Calcite default MS-SQL-style decimal-divide semantics), but that
+ * would lead to "regressions" (precision loss) and would require test adjustments.
+ */
+ @Override
+ public RelDataType deriveDecimalDivideType(RelDataTypeFactory typeFactory,
+ RelDataType type1, RelDataType type2) {
+ if (SqlTypeUtil.isExactNumeric(type1) && SqlTypeUtil.isExactNumeric(type2)) {
+ if (SqlTypeUtil.isDecimal(type1) || SqlTypeUtil.isDecimal(type2)) {
+ // Java numeric will always have invalid precision/scale,
+ // use its default decimal precision/scale instead.
+ type1 = RelDataTypeFactoryImpl.isJavaType(type1) ? typeFactory.decimalOf(type1) : type1;
+ type2 = RelDataTypeFactoryImpl.isJavaType(type2) ? typeFactory.decimalOf(type2) : type2;
+ int p1 = type1.getPrecision();
+ int p2 = type2.getPrecision();
+ int s1 = type1.getScale();
+ int s2 = type2.getScale();
+
+ final int maxNumericPrecision = getMaxNumericPrecision();
+ int dout = Math.min(p1 - s1 + s2, maxNumericPrecision);
+ int scale = Math.max(6, s1 + p2 + 1);
+ scale = Math.min(scale, maxNumericPrecision - dout);
+ scale = Math.min(scale, getMaxNumericScale());
+
+ int precision = dout + scale;
+ assert precision <= maxNumericPrecision;
+ assert precision > 0;
+ return typeFactory.createSqlType(SqlTypeName.DECIMAL, precision, scale);
+ }
+ }
+ return null;
+ }
+
}
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/functions/HiveSqlSumAggFunction.java b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/functions/HiveSqlSumAggFunction.java
index 47133de47ff8..33fc8859a323 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/functions/HiveSqlSumAggFunction.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/functions/HiveSqlSumAggFunction.java
@@ -108,7 +108,7 @@ public AggregateCall topSplit(RexBuilder rexBuilder,
break;
case 2:
node = rexBuilder.makeCall(SqlStdOperatorTable.MULTIPLY, merges);
- node = rexBuilder.makeAbstractCast(aggregateCall.type, node);
+ node = rexBuilder.makeAbstractCast(aggregateCall.type, node, false);
break;
default:
throw new AssertionError("unexpected count " + merges);
@@ -120,6 +120,7 @@ public AggregateCall topSplit(RexBuilder rexBuilder,
false,
false,
false,
+ List.of(),
ImmutableList.of(ordinal),
-1,
aggregateCall.distinctKeys,
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/reloperators/HiveAggregate.java b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/reloperators/HiveAggregate.java
index 52a11d4e8d98..dd52a92808b5 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/reloperators/HiveAggregate.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/reloperators/HiveAggregate.java
@@ -75,8 +75,8 @@ private static AggregateCall replaceAggFunction(RelDataType rowType, AggregateCa
SqlTypeUtil.projectTypes(rowType, aggCall.getArgList()),
aggCall.getType());
return AggregateCall.create(aggFunction, aggCall.isDistinct(), aggCall.isApproximate(), aggCall.ignoreNulls(),
- aggCall.getArgList(), aggCall.filterArg, aggCall.distinctKeys, aggCall.getCollation(), aggCall.getType(),
- aggCall.getName());
+ aggCall.rexList, aggCall.getArgList(), aggCall.filterArg, aggCall.distinctKeys, aggCall.getCollation(),
+ aggCall.getType(), aggCall.getName());
}
@Override
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/HiveFieldTrimmerRule.java b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/HiveFieldTrimmerRule.java
index d9eddc2be20c..3cfcd1c05ea1 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/HiveFieldTrimmerRule.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/HiveFieldTrimmerRule.java
@@ -21,6 +21,7 @@
import org.apache.calcite.plan.RelOptRuleCall;
import org.apache.calcite.plan.hep.HepRelVertex;
import org.apache.calcite.rel.RelNode;
+import org.apache.hadoop.hive.ql.optimizer.calcite.HiveCalciteUtil;
import org.apache.hadoop.hive.ql.optimizer.calcite.HiveRelFactories;
@@ -57,7 +58,7 @@ public void onMatch(RelOptRuleCall call) {
return;
}
// The node is the root, release the kraken!
- node = HiveHepExtractRelNodeRule.execute(node);
+ node = HiveCalciteUtil.stripHepVertices(node);
call.transformTo(trim(call, node));
triggered = true;
}
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/HiveHepExtractRelNodeRule.java b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/HiveHepExtractRelNodeRule.java
index 12e47843d161..2ffb14c74d8d 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/HiveHepExtractRelNodeRule.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/HiveHepExtractRelNodeRule.java
@@ -25,19 +25,32 @@
import org.apache.calcite.plan.hep.HepRelVertex;
import org.apache.calcite.rel.RelNode;
-
/**
* The goal of this rule is to extract the RelNode from the
* HepRelVertex node so rules do tree traversal can be applied correctly.
* @see HiveFieldTrimmerRule
* @see org.apache.hadoop.hive.ql.optimizer.calcite.rules.views.HiveAggregateInsertDeleteIncrementalRewritingRule
*/
+// TODO remove
public class HiveHepExtractRelNodeRule extends RelOptRule {
public static RelNode execute(RelNode node) {
final HepPlanner tmpPlanner = new HepPlanner(PROGRAM);
tmpPlanner.setRoot(node);
return tmpPlanner.findBestExp();
+
+ // TODO cleanup
+ /* RelNode res = node.accept(new RelShuttleImpl() {
+ @Override
+ public RelNode visit(RelNode other) {
+ RelNode innerNode = other.stripped();
+ if (other != innerNode) {
+ return innerNode.accept(this);
+ }
+ return super.visit(other);
+ }
+ });
+ return res; */
}
private static final HepProgram PROGRAM = new HepProgramBuilder()
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/HiveJoinConstraintsRule.java b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/HiveJoinConstraintsRule.java
index 58eb2011ed05..2a984661dd1c 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/HiveJoinConstraintsRule.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/HiveJoinConstraintsRule.java
@@ -163,7 +163,7 @@ public void onMatch(RelOptRuleCall call) {
}
// Then, we start by trying to reference only left side in top projections
List swappedTopProjExprs = topProjExprs.stream()
- .map(projExpr -> projExpr.accept(new RexPermuteInputsShuttle(mappingRL, call.rel(1))))
+ .map(projExpr -> projExpr.accept(new RexPermuteInputsShuttle(mappingRL, false, call.rel(1))))
.collect(Collectors.toList());
rightInputPotentialFK = RelOptUtil.InputFinder.bits(swappedTopProjExprs, null).intersects(rightBits);
if (!rightInputPotentialFK) {
@@ -171,7 +171,7 @@ public void onMatch(RelOptRuleCall call) {
} else {
// If it did not work, we try to reference only right side in top projections
swappedTopProjExprs = topProjExprs.stream()
- .map(projExpr -> projExpr.accept(new RexPermuteInputsShuttle(mappingLR, call.rel(1))))
+ .map(projExpr -> projExpr.accept(new RexPermuteInputsShuttle(mappingLR, false, call.rel(1))))
.collect(Collectors.toList());
leftInputPotentialFK = RelOptUtil.InputFinder.bits(swappedTopProjExprs, null).intersects(leftBits);
if (!leftInputPotentialFK) {
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/HiveRelFieldTrimmer.java b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/HiveRelFieldTrimmer.java
index f6f011fe5823..c440b52e8ed2 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/HiveRelFieldTrimmer.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/HiveRelFieldTrimmer.java
@@ -517,7 +517,8 @@ private ImmutableBitSet generateNewGroupset(Aggregate aggregate, ImmutableBitSet
RelMetadataQuery mq = aggregate.getCluster().getMetadataQuery();
final Set uniqueKeys = mq.getUniqueKeys(input, false);
- if (uniqueKeys == null || uniqueKeys.isEmpty()) {
+ if (uniqueKeys == null || uniqueKeys.isEmpty() ||
+ (uniqueKeys.size() == 1 && uniqueKeys.iterator().next().isEmpty())) {
return generateGroupSetIfCardinalitySame(aggregate, originalGroupSet, fieldsUsed);
}
@@ -549,9 +550,8 @@ private ImmutableBitSet generateNewGroupset(Aggregate aggregate, ImmutableBitSet
*/
private Aggregate rewriteGBConstantKeys(Aggregate aggregate, ImmutableBitSet fieldsUsed,
ImmutableBitSet aggCallFields) {
- if ((aggregate.getIndicatorCount() > 0)
- || (aggregate.getGroupSet().isEmpty())
- || fieldsUsed.contains(aggregate.getGroupSet())) {
+ if (aggregate.getGroupSet().isEmpty()
+ || fieldsUsed.intersects(aggregate.getGroupSet())) {
return aggregate;
}
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/views/HiveAggregateInsertDeleteIncrementalRewritingRule.java b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/views/HiveAggregateInsertDeleteIncrementalRewritingRule.java
index 6a826a15b1ff..cb6f91d3890e 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/views/HiveAggregateInsertDeleteIncrementalRewritingRule.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/views/HiveAggregateInsertDeleteIncrementalRewritingRule.java
@@ -31,10 +31,9 @@
import org.apache.calcite.sql.fun.SqlStdOperatorTable;
import org.apache.calcite.tools.RelBuilder;
import org.apache.hadoop.hive.ql.ddl.view.materialized.alter.rebuild.AlterMaterializedViewRebuildAnalyzer;
+import org.apache.hadoop.hive.ql.optimizer.calcite.HiveCalciteUtil;
import org.apache.hadoop.hive.ql.optimizer.calcite.HiveRelFactories;
-import org.apache.hadoop.hive.ql.optimizer.calcite.rules.HiveHepExtractRelNodeRule;
-
/**
* This rule will perform a rewriting to prepare the plan for incremental
* view maintenance in case there exist aggregation operator, so we can
@@ -118,7 +117,7 @@ protected IncrementalComputePlanWithDeletedRows createJoinRightInput(RelOptRuleC
RelNode aggInput = aggregate.getInput();
// Propagate rowIsDeleted column
- aggInput = HiveHepExtractRelNodeRule.execute(aggInput);
+ aggInput = HiveCalciteUtil.stripHepVertices(aggInput);
aggInput = new HiveRowIsDeletedPropagator(relBuilder).propagate(aggInput);
// The row schema has two additional columns after propagation:
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/views/HiveAugmentSnapshotMaterializationRule.java b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/views/HiveAugmentSnapshotMaterializationRule.java
index f5f2e46c0f1c..07d5082d3e7a 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/views/HiveAugmentSnapshotMaterializationRule.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/views/HiveAugmentSnapshotMaterializationRule.java
@@ -146,6 +146,12 @@ public void onMatch(RelOptRuleCall call) {
final RelBuilder relBuilder = call.builder();
relBuilder.push(tableScan);
+ if (snapshotId == null) {
+ // Avoid creating an incorrect expression $snapshotIdInputRef <= NULL
+ // which may be problematic for Calcite later on; instead use a special value -1,
+ // which will be later interpreted by HivePushdownSnapshotFilterRule (and removed)
+ snapshotId = -1L;
+ }
final RexNode snapshotIdLiteral = rexBuilder.makeLiteral(
snapshotId, snapshotIdType(relBuilder.getTypeFactory()), false);
final RexNode predicateWithSnapShotId = rexBuilder.makeCall(
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/views/HiveMaterializedViewRule.java b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/views/HiveMaterializedViewRule.java
index 4c71f7534e35..9c21977166cc 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/views/HiveMaterializedViewRule.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/views/HiveMaterializedViewRule.java
@@ -17,6 +17,7 @@
*/
package org.apache.hadoop.hive.ql.optimizer.calcite.rules.views;
+import com.google.common.collect.BiMap;
import com.google.common.collect.ImmutableList;
import org.apache.calcite.avatica.util.TimeUnitRange;
import org.apache.calcite.plan.RelOptRule;
@@ -28,7 +29,9 @@
import org.apache.calcite.rel.RelNode;
import org.apache.calcite.rel.core.Filter;
import org.apache.calcite.rel.core.Join;
+import org.apache.calcite.rel.core.Project;
import org.apache.calcite.rel.core.TableScan;
+import org.apache.calcite.rel.metadata.RelMetadataQuery;
import org.apache.calcite.rel.rules.materialize.MaterializedViewProjectFilterRule;
import org.apache.calcite.rel.rules.materialize.MaterializedViewOnlyFilterRule;
import org.apache.calcite.rel.rules.materialize.MaterializedViewProjectJoinRule;
@@ -36,17 +39,22 @@
import org.apache.calcite.rel.rules.materialize.MaterializedViewProjectAggregateRule;
import org.apache.calcite.rel.rules.materialize.MaterializedViewOnlyAggregateRule;
import org.apache.calcite.rel.rules.ProjectRemoveRule;
+import org.apache.calcite.rex.RexBuilder;
import org.apache.calcite.rex.RexNode;
+import org.apache.calcite.rex.RexSimplify;
+import org.apache.calcite.rex.RexTableInputRef;
import org.apache.calcite.sql.SqlFunction;
import org.apache.calcite.tools.RelBuilder;
import org.apache.calcite.tools.RelBuilderFactory;
import org.apache.calcite.util.ImmutableBitSet;
import org.apache.calcite.util.Util;
+import org.apache.hadoop.hive.ql.optimizer.calcite.HiveCalciteUtil;
import org.apache.hadoop.hive.ql.optimizer.calcite.HiveRelBuilder;
import org.apache.hadoop.hive.ql.optimizer.calcite.HiveRelFactories;
import org.apache.hadoop.hive.ql.optimizer.calcite.rules.HiveFilterProjectTransposeRule;
import org.apache.hadoop.hive.ql.optimizer.calcite.rules.HiveJoinProjectTransposeRule;
import org.apache.hadoop.hive.ql.optimizer.calcite.rules.HiveProjectMergeRule;
+import org.checkerframework.checker.nullness.qual.Nullable;
import java.util.List;
@@ -63,7 +71,7 @@ public class HiveMaterializedViewRule {
* the root of the plan.
*/
private static final HepProgram PROGRAM = new HepProgramBuilder()
- .addRuleInstance(HiveHepExtractRelNodeRule.INSTANCE)
+ // .addRuleInstance(HiveHepExtractRelNodeRule.INSTANCE)
.addRuleInstance(HiveVolcanoExtractRelNodeRule.INSTANCE)
.addRuleInstance(HiveTableScanProjectInsert.INSTANCE)
.addRuleCollection(
@@ -78,36 +86,16 @@ public class HiveMaterializedViewRule {
.build();
public static final MaterializedViewProjectFilterRule INSTANCE_PROJECT_FILTER =
- (MaterializedViewProjectFilterRule) MaterializedViewProjectFilterRule.Config.DEFAULT
- .withGenerateUnionRewriting(true)
- .withFastBailOut(false)
- .withUnionRewritingPullProgram(PROGRAM)
- .withRelBuilderFactory(HiveRelFactories.HIVE_BUILDER)
- .toRule();
+ new HiveMaterializedViewProjectFilterRule(HiveRelFactories.HIVE_BUILDER, true, PROGRAM, false);
public static final MaterializedViewOnlyFilterRule INSTANCE_FILTER =
- (MaterializedViewOnlyFilterRule) MaterializedViewOnlyFilterRule.Config.DEFAULT
- .withGenerateUnionRewriting(true)
- .withFastBailOut(false)
- .withUnionRewritingPullProgram(PROGRAM)
- .withRelBuilderFactory(HiveRelFactories.HIVE_BUILDER)
- .toRule();
+ new HiveMaterializedViewOnlyFilterRule(HiveRelFactories.HIVE_BUILDER, true, PROGRAM, false);
public static final MaterializedViewProjectJoinRule INSTANCE_PROJECT_JOIN =
- (MaterializedViewProjectJoinRule) MaterializedViewProjectJoinRule.Config.DEFAULT
- .withGenerateUnionRewriting(true)
- .withFastBailOut(false)
- .withUnionRewritingPullProgram(PROGRAM)
- .withRelBuilderFactory(HiveRelFactories.HIVE_BUILDER)
- .toRule();
+ new HiveMaterializedViewProjectJoinRule(HiveRelFactories.HIVE_BUILDER, true, PROGRAM, false);
public static final MaterializedViewOnlyJoinRule INSTANCE_JOIN =
- (MaterializedViewOnlyJoinRule) MaterializedViewOnlyJoinRule.Config.DEFAULT
- .withGenerateUnionRewriting(true)
- .withFastBailOut(false)
- .withUnionRewritingPullProgram(PROGRAM)
- .withRelBuilderFactory(HiveRelFactories.HIVE_BUILDER)
- .toRule();
+ new HiveMaterializedViewOnlyJoinRule(HiveRelFactories.HIVE_BUILDER, true, PROGRAM, false);
public static final HiveMaterializedViewProjectAggregateRule INSTANCE_PROJECT_AGGREGATE =
new HiveMaterializedViewProjectAggregateRule(HiveRelFactories.HIVE_BUILDER,
@@ -133,6 +121,22 @@ public HiveMaterializedViewProjectAggregateRule(
super(relBuilderFactory, generateUnionRewriting, unionRewritingPullProgram);
}
+ @Override protected @Nullable RelNode rewriteQuery(
+ RelBuilder relBuilder,
+ RexBuilder rexBuilder,
+ RexSimplify simplify,
+ RelMetadataQuery mq,
+ RexNode compensationColumnsEquiPred,
+ RexNode otherCompensationPred,
+ @Nullable Project topProject,
+ RelNode node,
+ BiMap queryToViewTableMapping,
+ EquivalenceClasses viewEC, EquivalenceClasses queryEC) {
+ RelNode unwrappedNode = HiveCalciteUtil.stripHepVertices(node);
+ return super.rewriteQuery(relBuilder, rexBuilder, simplify, mq, compensationColumnsEquiPred,
+ otherCompensationPred, topProject, unwrappedNode, queryToViewTableMapping, viewEC, queryEC);
+ }
+
@Override
protected SqlFunction getFloorSqlFunction(TimeUnitRange flag) {
return HiveRelBuilder.getFloorSqlFunction(flag);
@@ -145,18 +149,132 @@ public HiveMaterializedViewOnlyAggregateRule(
super(relBuilderFactory, generateUnionRewriting, unionRewritingPullProgram);
}
+ @Override protected @Nullable RelNode rewriteQuery(
+ RelBuilder relBuilder,
+ RexBuilder rexBuilder,
+ RexSimplify simplify,
+ RelMetadataQuery mq,
+ RexNode compensationColumnsEquiPred,
+ RexNode otherCompensationPred,
+ @Nullable Project topProject,
+ RelNode node,
+ BiMap queryToViewTableMapping,
+ EquivalenceClasses viewEC, EquivalenceClasses queryEC) {
+ RelNode unwrappedNode = HiveCalciteUtil.stripHepVertices(node);
+ return super.rewriteQuery(relBuilder, rexBuilder, simplify, mq, compensationColumnsEquiPred,
+ otherCompensationPred, topProject, unwrappedNode, queryToViewTableMapping, viewEC, queryEC);
+ }
+
@Override
protected SqlFunction getFloorSqlFunction(TimeUnitRange flag) {
return HiveRelBuilder.getFloorSqlFunction(flag);
}
}
+ protected static class HiveMaterializedViewProjectFilterRule extends MaterializedViewProjectFilterRule {
+ public HiveMaterializedViewProjectFilterRule(RelBuilderFactory relBuilderFactory,
+ boolean generateUnionRewriting, HepProgram unionRewritingPullProgram,
+ boolean fastBailOut) {
+ super(relBuilderFactory, generateUnionRewriting, unionRewritingPullProgram, fastBailOut);
+ }
+
+ @Override protected @Nullable RelNode rewriteQuery(
+ RelBuilder relBuilder,
+ RexBuilder rexBuilder,
+ RexSimplify simplify,
+ RelMetadataQuery mq,
+ RexNode compensationColumnsEquiPred,
+ RexNode otherCompensationPred,
+ @Nullable Project topProject,
+ RelNode node,
+ BiMap viewToQueryTableMapping,
+ EquivalenceClasses viewEC, EquivalenceClasses queryEC) {
+ RelNode unwrappedNode = HiveCalciteUtil.stripHepVertices(node);
+ return super.rewriteQuery(relBuilder, rexBuilder, simplify, mq, compensationColumnsEquiPred,
+ otherCompensationPred, topProject, unwrappedNode, viewToQueryTableMapping, viewEC, queryEC);
+ }
+ }
+
+ protected static class HiveMaterializedViewOnlyFilterRule extends MaterializedViewOnlyFilterRule {
+ public HiveMaterializedViewOnlyFilterRule(RelBuilderFactory relBuilderFactory,
+ boolean generateUnionRewriting, HepProgram unionRewritingPullProgram,
+ boolean fastBailOut) {
+ super(relBuilderFactory, generateUnionRewriting, unionRewritingPullProgram, fastBailOut);
+ }
+
+ @Override protected @Nullable RelNode rewriteQuery(
+ RelBuilder relBuilder,
+ RexBuilder rexBuilder,
+ RexSimplify simplify,
+ RelMetadataQuery mq,
+ RexNode compensationColumnsEquiPred,
+ RexNode otherCompensationPred,
+ @Nullable Project topProject,
+ RelNode node,
+ BiMap viewToQueryTableMapping,
+ EquivalenceClasses viewEC, EquivalenceClasses queryEC) {
+ RelNode unwrappedNode = HiveCalciteUtil.stripHepVertices(node);
+ return super.rewriteQuery(relBuilder, rexBuilder, simplify, mq, compensationColumnsEquiPred,
+ otherCompensationPred, topProject, unwrappedNode, viewToQueryTableMapping, viewEC, queryEC);
+ }
+ }
+
+ protected static class HiveMaterializedViewProjectJoinRule extends MaterializedViewProjectJoinRule {
+ public HiveMaterializedViewProjectJoinRule(RelBuilderFactory relBuilderFactory,
+ boolean generateUnionRewriting, HepProgram unionRewritingPullProgram,
+ boolean fastBailOut) {
+ super(relBuilderFactory, generateUnionRewriting, unionRewritingPullProgram, fastBailOut);
+ }
+
+ @Override protected @Nullable RelNode rewriteQuery(
+ RelBuilder relBuilder,
+ RexBuilder rexBuilder,
+ RexSimplify simplify,
+ RelMetadataQuery mq,
+ RexNode compensationColumnsEquiPred,
+ RexNode otherCompensationPred,
+ @Nullable Project topProject,
+ RelNode node,
+ BiMap viewToQueryTableMapping,
+ EquivalenceClasses viewEC, EquivalenceClasses queryEC) {
+ RelNode unwrappedNode = HiveCalciteUtil.stripHepVertices(node);
+ return super.rewriteQuery(relBuilder, rexBuilder, simplify, mq, compensationColumnsEquiPred,
+ otherCompensationPred, topProject, unwrappedNode, viewToQueryTableMapping, viewEC, queryEC);
+ }
+ }
+
+ protected static class HiveMaterializedViewOnlyJoinRule extends MaterializedViewOnlyJoinRule {
+ public HiveMaterializedViewOnlyJoinRule(RelBuilderFactory relBuilderFactory,
+ boolean generateUnionRewriting, HepProgram unionRewritingPullProgram,
+ boolean fastBailOut) {
+ super(relBuilderFactory, generateUnionRewriting, unionRewritingPullProgram, fastBailOut);
+ }
+
+ @Override protected @Nullable RelNode rewriteQuery(
+ RelBuilder relBuilder,
+ RexBuilder rexBuilder,
+ RexSimplify simplify,
+ RelMetadataQuery mq,
+ RexNode compensationColumnsEquiPred,
+ RexNode otherCompensationPred,
+ @Nullable Project topProject,
+ RelNode node,
+ BiMap viewToQueryTableMapping,
+ EquivalenceClasses viewEC,
+ EquivalenceClasses queryEC) {
+ RelNode unwrappedNode = HiveCalciteUtil.stripHepVertices(node);
+ return super.rewriteQuery(relBuilder, rexBuilder, simplify, mq, compensationColumnsEquiPred,
+ otherCompensationPred, topProject, unwrappedNode, viewToQueryTableMapping, viewEC, queryEC);
+ }
+ }
+
/**
* This rule is used within the PROGRAM that rewrites the query for
* partial rewritings. Its goal is to extract the RelNode from the
* HepRelVertex node so the rest of the rules in the PROGRAM can be
* applied correctly.
*/
+ // TODO remove
private static class HiveHepExtractRelNodeRule extends RelOptRule {
private static final HiveHepExtractRelNodeRule INSTANCE =
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/views/HivePushdownSnapshotFilterRule.java b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/views/HivePushdownSnapshotFilterRule.java
index 0965c81977c5..f54f31be00e0 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/views/HivePushdownSnapshotFilterRule.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/views/HivePushdownSnapshotFilterRule.java
@@ -116,6 +116,11 @@ private boolean setSnapShotId(RexNode op1, RexNode op2) {
}
Long snapshotId = literal.getValueAs(Long.class);
+ if (snapshotId != null && snapshotId == -1L) {
+ // HiveAugmentSnapshotMaterializationRule uses snapshotId -1 (instead of null) to avoid generating
+ // an incorrect predicate ($snapshotIdInputRef <= NULL), so replace it back here
+ snapshotId = null;
+ }
RelOptTable relOptTable = getRelOptTableOf(op2);
if (relOptTable == null) {
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/translator/ASTConverter.java b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/translator/ASTConverter.java
index f3e47f010646..02a7d06993e6 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/translator/ASTConverter.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/translator/ASTConverter.java
@@ -874,7 +874,7 @@ public ASTNode visitLiteral(RexLiteral literal) {
return ASTBuilder.literal(literal);
}
nullLiteralMap.put(literal, true);
- RexNode r = rexBuilder.makeAbstractCast(literal.getType(), literal);
+ RexNode r = rexBuilder.makeAbstractCast(literal.getType(), literal, false);
return r.accept(this);
}
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/translator/RexNodeConverter.java b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/translator/RexNodeConverter.java
index ab9eb330b3a5..d51f53480617 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/translator/RexNodeConverter.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/translator/RexNodeConverter.java
@@ -344,7 +344,7 @@ public static RexNode handleExplicitCast(GenericUDF udf, RelDataType returnType,
|| (udf instanceof GenericUDFToMap)
|| (udf instanceof GenericUDFToArray)
|| (udf instanceof GenericUDFToStruct)) {
- castExpr = rexBuilder.makeAbstractCast(returnType, childRexNodeLst.get(0));
+ castExpr = rexBuilder.makeAbstractCast(returnType, childRexNodeLst.get(0), false);
}
}
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/translator/SqlFunctionConverter.java b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/translator/SqlFunctionConverter.java
index d6a93070ff02..52fe86611bfc 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/translator/SqlFunctionConverter.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/translator/SqlFunctionConverter.java
@@ -260,6 +260,7 @@ public static ASTNode buildAST(SqlOperator op, List children, RelDataTy
case FLOOR:
case CEIL:
case LIKE:
+ case CHAR_LENGTH:
case OTHER_FUNCTION:
node = (ASTNode) ParseDriver.adaptor.create(HiveParser.TOK_FUNCTION, "TOK_FUNCTION");
node.addChild((ASTNode) ParseDriver.adaptor.create(hToken.type, hToken.text));
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/parse/type/HiveFunctionHelper.java b/ql/src/java/org/apache/hadoop/hive/ql/parse/type/HiveFunctionHelper.java
index 556388c71914..7c9b0cd629bf 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/parse/type/HiveFunctionHelper.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/parse/type/HiveFunctionHelper.java
@@ -332,6 +332,19 @@ public RexNode getExpression(String functionText, FunctionInfo fi,
RexUtil.flatten(call.getOperands(), call.getOperator()));
}
+ // Avoid creating incorrect expressions like $1 < NULL or $1 = NULL or NULL = NULL
+ // which may be problematic for Calcite later on
+ if (expr.isA(SqlKind.BINARY_COMPARISON) && expr.getKind() != SqlKind.IS_DISTINCT_FROM
+ && expr.getKind() != SqlKind.IS_NOT_DISTINCT_FROM) {
+ RexCall call = (RexCall) expr;
+ RexNode op0 = call.getOperands().get(0);
+ RexNode op1 = call.getOperands().get(1);
+ if ((op0.getKind() == SqlKind.LITERAL && ((RexLiteral) op0).isNull()) ||
+ (op1.getKind() == SqlKind.LITERAL && ((RexLiteral) op1).isNull())) {
+ expr = rexBuilder.makeNullLiteral(expr.getType());
+ }
+ }
+
return expr;
}
diff --git a/ql/src/test/org/apache/hadoop/hive/ql/optimizer/calcite/TestHiveRelJsonReader.java b/ql/src/test/org/apache/hadoop/hive/ql/optimizer/calcite/TestHiveRelJsonReader.java
index 89c2606e04ec..fc196714379d 100644
--- a/ql/src/test/org/apache/hadoop/hive/ql/optimizer/calcite/TestHiveRelJsonReader.java
+++ b/ql/src/test/org/apache/hadoop/hive/ql/optimizer/calcite/TestHiveRelJsonReader.java
@@ -23,6 +23,7 @@
import org.apache.calcite.plan.RelOptCluster;
import org.apache.calcite.plan.RelOptUtil;
import org.apache.calcite.plan.volcano.VolcanoPlanner;
+import org.apache.calcite.util.ConversionUtil;
import org.apache.hadoop.hive.conf.HiveConf;
import org.apache.hive.testutils.HiveTestEnvSetup;
import org.junit.jupiter.params.ParameterizedTest;
@@ -57,6 +58,10 @@ static Stream inputJsonFiles() throws IOException {
@ParameterizedTest
@MethodSource("inputJsonFiles")
void testReadJson(Path jsonFile) throws IOException {
+ // TODO cleaner way? The current approach of setting these properties in Hive.java does not work for this test
+ System.setProperty("calcite.default.charset", ConversionUtil.NATIVE_UTF16_CHARSET_NAME);
+ System.setProperty("calcite.default.nationalcharset", ConversionUtil.NATIVE_UTF16_CHARSET_NAME);
+
String jsonContent =
Files.readAllLines(jsonFile).stream().filter(line -> !line.startsWith("Warning")).collect(Collectors.joining());
// Use VolcanoPlanner to be able to set the ConventionTraitDef in the cluster,
diff --git a/ql/src/test/org/apache/hadoop/hive/ql/optimizer/calcite/rules/TestHivePointLookupOptimizerRule.java b/ql/src/test/org/apache/hadoop/hive/ql/optimizer/calcite/rules/TestHivePointLookupOptimizerRule.java
index afb089edb356..b96f4a9a2ee7 100644
--- a/ql/src/test/org/apache/hadoop/hive/ql/optimizer/calcite/rules/TestHivePointLookupOptimizerRule.java
+++ b/ql/src/test/org/apache/hadoop/hive/ql/optimizer/calcite/rules/TestHivePointLookupOptimizerRule.java
@@ -519,7 +519,7 @@ public void testSameDecimalLiteralDifferentPrecision() {
HiveFilter filter = (HiveFilter) optimizedRelNode;
RexNode condition = filter.getCondition();
System.out.println(condition);
- assertEquals("IN($1, 10000:DECIMAL(19, 5), 11000:DECIMAL(19, 5))", condition.toString());
+ assertEquals("IN($1, 10000.00000:DECIMAL(19, 5), 11000.00000:DECIMAL(19, 5))", condition.toString());
}
@Test
diff --git a/ql/src/test/org/apache/hadoop/hive/ql/optimizer/calcite/rules/views/TestHiveAugmentSnapshotMaterializationRule.java b/ql/src/test/org/apache/hadoop/hive/ql/optimizer/calcite/rules/views/TestHiveAugmentSnapshotMaterializationRule.java
index cbed5c062189..663b1e6bdb8c 100644
--- a/ql/src/test/org/apache/hadoop/hive/ql/optimizer/calcite/rules/views/TestHiveAugmentSnapshotMaterializationRule.java
+++ b/ql/src/test/org/apache/hadoop/hive/ql/optimizer/calcite/rules/views/TestHiveAugmentSnapshotMaterializationRule.java
@@ -57,7 +57,7 @@ public void testWhenNoSnapshotButTableHasNewDataAFilterWithDefaultSnapshotIDAdde
assertThat(newRoot, instanceOf(HiveFilter.class));
HiveFilter filter = (HiveFilter) newRoot;
- assertThat(filter.getCondition().toString(), is("<=($3, null)"));
+ assertThat(filter.getCondition().toString(), is("<=($3, -1)"));
}
@Test
diff --git a/ql/src/test/results/clientpositive/encrypted/encryption_join_unencrypted_tbl.q.out b/ql/src/test/results/clientpositive/encrypted/encryption_join_unencrypted_tbl.q.out
index c0d2e307305c..d3531c787664 100644
--- a/ql/src/test/results/clientpositive/encrypted/encryption_join_unencrypted_tbl.q.out
+++ b/ql/src/test/results/clientpositive/encrypted/encryption_join_unencrypted_tbl.q.out
@@ -550,7 +550,7 @@ FROM `default`.`src`
WHERE CAST(`key` AS DOUBLE) IS NOT NULL) AS `t0`
INNER JOIN (SELECT `key`, `value`, CAST(`key` AS DOUBLE) AS `EXPR$0`
FROM `default`.`encrypted_table`
-WHERE CAST(`key` AS DOUBLE) IS NOT NULL) AS `t2` ON `t0`.`EXPR$0` = `t2`.`EXPR$0`
+WHERE `key` IS NOT NULL) AS `t2` ON `t0`.`EXPR$0` = `t2`.`EXPR$0`
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -585,12 +585,12 @@ STAGE PLANS:
auto parallelism: false
TableScan
alias: t2
- filterExpr: UDFToDouble(key) is not null (type: boolean)
+ filterExpr: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
GatherStats: false
Filter Operator
isSamplingPred: false
- predicate: UDFToDouble(key) is not null (type: boolean)
+ predicate: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: int), value (type: string), UDFToDouble(key) (type: double)
diff --git a/ql/src/test/results/clientpositive/llap/allcolref_in_udf.q.out b/ql/src/test/results/clientpositive/llap/allcolref_in_udf.q.out
index 236d52a2ded5..9b6626ad5dc7 100644
--- a/ql/src/test/results/clientpositive/llap/allcolref_in_udf.q.out
+++ b/ql/src/test/results/clientpositive/llap/allcolref_in_udf.q.out
@@ -76,10 +76,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: a
- filterExpr: (UDFToDouble(key) < 100.0D) (type: boolean)
+ filterExpr: ((UDFToDouble(key) < 100.0D) and (UDFToDouble(key) + 1.0D) is not null) (type: boolean)
Statistics: Num rows: 500 Data size: 89000 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (UDFToDouble(key) < 100.0D) (type: boolean)
+ predicate: ((UDFToDouble(key) < 100.0D) and (UDFToDouble(key) + 1.0D) is not null) (type: boolean)
Statistics: Num rows: 166 Data size: 29548 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: string), value (type: string), concat(key, value) (type: string), (UDFToDouble(key) + 1.0D) (type: double)
diff --git a/ql/src/test/results/clientpositive/llap/alter_partition_coltype.q.out b/ql/src/test/results/clientpositive/llap/alter_partition_coltype.q.out
index c16ac363f08f..2f690514b45e 100644
--- a/ql/src/test/results/clientpositive/llap/alter_partition_coltype.q.out
+++ b/ql/src/test/results/clientpositive/llap/alter_partition_coltype.q.out
@@ -130,7 +130,7 @@ POSTHOOK: Input: default@alter_coltype
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT COUNT(*) AS `_c0`
FROM `default`.`alter_coltype`
-WHERE `ts` = 6.30
+WHERE `ts` = 6.3E0
STAGE DEPENDENCIES:
Stage-0 is a root stage
@@ -160,7 +160,7 @@ POSTHOOK: Input: default@alter_coltype
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT COUNT(*) AS `_c0`
FROM `default`.`alter_coltype`
-WHERE `ts` = 3 AND `dt` = 100
+WHERE `ts` = 3.0E0 AND `dt` = 1.000E2
STAGE DEPENDENCIES:
Stage-0 is a root stage
diff --git a/ql/src/test/results/clientpositive/llap/annotate_stats_join_pkfk.q.out b/ql/src/test/results/clientpositive/llap/annotate_stats_join_pkfk.q.out
index 8b3bebdbbc70..1dacfd37360f 100644
--- a/ql/src/test/results/clientpositive/llap/annotate_stats_join_pkfk.q.out
+++ b/ql/src/test/results/clientpositive/llap/annotate_stats_join_pkfk.q.out
@@ -500,10 +500,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: ss
- filterExpr: UDFToLong(ss_store_sk) is not null (type: boolean)
+ filterExpr: ss_store_sk is not null (type: boolean)
Statistics: Num rows: 1000 Data size: 3860 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: UDFToLong(ss_store_sk) is not null (type: boolean)
+ predicate: ss_store_sk is not null (type: boolean)
Statistics: Num rows: 964 Data size: 3720 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: UDFToLong(ss_store_sk) (type: bigint)
diff --git a/ql/src/test/results/clientpositive/llap/antijoin4.q.out b/ql/src/test/results/clientpositive/llap/antijoin4.q.out
index 62cbf85908dc..4f6dfb4c0efc 100644
--- a/ql/src/test/results/clientpositive/llap/antijoin4.q.out
+++ b/ql/src/test/results/clientpositive/llap/antijoin4.q.out
@@ -168,7 +168,7 @@ POSTHOOK: Input: default@antijoin3_t1
POSTHOOK: Input: default@antijoin3_t2
#### A masked pattern was here ####
CBO PLAN:
-HiveProject(t1id=[$0], t1notnull=[$1], t1nullable=[$2], _c3=[_UTF-16LE'foo':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
+HiveProject(t1id=[$0], t1notnull=[$1], t1nullable=[$2], _c3=['foo':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
HiveAntiJoin(condition=[=($0, $3)], joinType=[anti])
HiveProject(t1id=[$0], t1notnull=[$1], t1nullable=[$2])
HiveTableScan(table=[[default, antijoin3_t1]], table:alias=[t1])
diff --git a/ql/src/test/results/clientpositive/llap/autoColumnStats_5a.q.out b/ql/src/test/results/clientpositive/llap/autoColumnStats_5a.q.out
index 9c94c3e61797..1c19909492f1 100644
--- a/ql/src/test/results/clientpositive/llap/autoColumnStats_5a.q.out
+++ b/ql/src/test/results/clientpositive/llap/autoColumnStats_5a.q.out
@@ -18,7 +18,7 @@ POSTHOOK: Input: _dummy_database@_dummy_table
POSTHOOK: Output: default@partitioned1@part=1
Explain
OPTIMIZED SQL: SELECT *
-FROM TABLE(INLINE(ARRAY[(1, 'original')]))
+FROM TABLE(INLINE(ARRAY ((1, 'original'))))
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-2 depends on stages: Stage-1
@@ -279,7 +279,7 @@ POSTHOOK: Input: _dummy_database@_dummy_table
POSTHOOK: Output: default@partitioned1@part=1
Explain
OPTIMIZED SQL: SELECT *
-FROM TABLE(INLINE(ARRAY[(2, 'original'), (3, 'original'), (4, 'original')]))
+FROM TABLE(INLINE(ARRAY ((2, 'original'), (3, 'original'), (4, 'original'))))
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-2 depends on stages: Stage-1
diff --git a/ql/src/test/results/clientpositive/llap/auto_join13.q.out b/ql/src/test/results/clientpositive/llap/auto_join13.q.out
index 8d7b32361f23..55352923f3e6 100644
--- a/ql/src/test/results/clientpositive/llap/auto_join13.q.out
+++ b/ql/src/test/results/clientpositive/llap/auto_join13.q.out
@@ -61,6 +61,7 @@ STAGE PLANS:
outputColumnNames: _col0, _col1, _col2
input vertices:
1 Reducer 4
+ residual filter predicates: {(UDFToDouble(_col2) + UDFToDouble(_col0)) is not null}
Statistics: Num rows: 166 Data size: 43990 Basic stats: COMPLETE Column stats: COMPLETE
Map Join Operator
condition map:
@@ -87,7 +88,7 @@ STAGE PLANS:
sort order:
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col0 (type: bigint)
- Execution mode: vectorized, llap
+ Execution mode: llap
LLAP IO: all inputs
Map 3
Map Operator Tree:
diff --git a/ql/src/test/results/clientpositive/llap/auto_join2.q.out b/ql/src/test/results/clientpositive/llap/auto_join2.q.out
index 4ff363c6a7f1..bc77780295e2 100644
--- a/ql/src/test/results/clientpositive/llap/auto_join2.q.out
+++ b/ql/src/test/results/clientpositive/llap/auto_join2.q.out
@@ -38,70 +38,73 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: src1
- filterExpr: (key is not null and UDFToDouble(key) is not null) (type: boolean)
- probeDecodeDetails: cacheKey:HASH_MAP_MAPJOIN_45_container, bigKeyColName:key, smallTablePos:1, keyRatio:0.632
+ filterExpr: key is not null (type: boolean)
+ probeDecodeDetails: cacheKey:HASH_MAP_MAPJOIN_49_container, bigKeyColName:key, smallTablePos:1, keyRatio:0.632
Statistics: Num rows: 500 Data size: 43500 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (key is not null and UDFToDouble(key) is not null) (type: boolean)
+ predicate: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 43500 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: string), UDFToDouble(key) (type: double)
outputColumnNames: _col0, _col1
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
- Map Join Operator
- condition map:
- Inner Join 0 to 1
- keys:
- 0 _col0 (type: string)
- 1 _col0 (type: string)
- outputColumnNames: _col0, _col1, _col3
- input vertices:
- 1 Reducer 4
- Statistics: Num rows: 791 Data size: 81473 Basic stats: COMPLETE Column stats: COMPLETE
+ Filter Operator
+ predicate: _col1 is not null (type: boolean)
+ Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
Map Join Operator
condition map:
Inner Join 0 to 1
keys:
- 0 (_col1 + _col3) (type: double)
- 1 _col1 (type: double)
- outputColumnNames: _col0, _col4
+ 0 _col0 (type: string)
+ 1 _col0 (type: string)
+ outputColumnNames: _col0, _col1, _col3
input vertices:
- 1 Map 3
- Statistics: Num rows: 500 Data size: 89000 Basic stats: COMPLETE Column stats: COMPLETE
- Select Operator
- expressions: UDFToInteger(_col0) (type: int), _col4 (type: string)
- outputColumnNames: _col0, _col1
- Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
- File Output Operator
- compressed: false
- Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
- table:
- input format: org.apache.hadoop.mapred.TextInputFormat
- output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
- serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
- name: default.dest_j2
+ 1 Reducer 4
+ Statistics: Num rows: 791 Data size: 81473 Basic stats: COMPLETE Column stats: COMPLETE
+ Map Join Operator
+ condition map:
+ Inner Join 0 to 1
+ keys:
+ 0 (_col1 + _col3) (type: double)
+ 1 _col1 (type: double)
+ outputColumnNames: _col0, _col4
+ input vertices:
+ 1 Map 3
+ Statistics: Num rows: 500 Data size: 89000 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
- expressions: _col0 (type: int), _col1 (type: string)
- outputColumnNames: key, value
+ expressions: UDFToInteger(_col0) (type: int), _col4 (type: string)
+ outputColumnNames: _col0, _col1
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
- Group By Operator
- aggregations: min(key), max(key), count(1), count(key), compute_bit_vector_hll(key), max(length(value)), avg(COALESCE(length(value),0)), count(value), compute_bit_vector_hll(value)
- minReductionHashAggr: 0.99
- mode: hash
- outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8
- Statistics: Num rows: 1 Data size: 400 Basic stats: COMPLETE Column stats: COMPLETE
- Reduce Output Operator
- null sort order:
- sort order:
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
+ table:
+ input format: org.apache.hadoop.mapred.TextInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+ name: default.dest_j2
+ Select Operator
+ expressions: _col0 (type: int), _col1 (type: string)
+ outputColumnNames: key, value
+ Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
+ Group By Operator
+ aggregations: min(key), max(key), count(1), count(key), compute_bit_vector_hll(key), max(length(value)), avg(COALESCE(length(value),0)), count(value), compute_bit_vector_hll(value)
+ minReductionHashAggr: 0.99
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8
Statistics: Num rows: 1 Data size: 400 Basic stats: COMPLETE Column stats: COMPLETE
- value expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint), _col3 (type: bigint), _col4 (type: binary), _col5 (type: int), _col6 (type: struct), _col7 (type: bigint), _col8 (type: binary)
+ Reduce Output Operator
+ null sort order:
+ sort order:
+ Statistics: Num rows: 1 Data size: 400 Basic stats: COMPLETE Column stats: COMPLETE
+ value expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint), _col3 (type: bigint), _col4 (type: binary), _col5 (type: int), _col6 (type: struct), _col7 (type: bigint), _col8 (type: binary)
Execution mode: vectorized, llap
LLAP IO: all inputs
Map 3
Map Operator Tree:
TableScan
alias: src3
- filterExpr: (UDFToDouble(key) is not null or (key is not null and UDFToDouble(key) is not null)) (type: boolean)
+ filterExpr: (UDFToDouble(key) is not null or key is not null) (type: boolean)
Statistics: Num rows: 500 Data size: 89000 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: UDFToDouble(key) is not null (type: boolean)
@@ -118,19 +121,22 @@ STAGE PLANS:
Statistics: Num rows: 500 Data size: 49500 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col0 (type: string)
Filter Operator
- predicate: (key is not null and UDFToDouble(key) is not null) (type: boolean)
+ predicate: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 43500 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: string), UDFToDouble(key) (type: double)
outputColumnNames: _col0, _col1
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
- Reduce Output Operator
- key expressions: _col0 (type: string)
- null sort order: z
- sort order: +
- Map-reduce partition columns: _col0 (type: string)
+ Filter Operator
+ predicate: _col1 is not null (type: boolean)
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
- value expressions: _col1 (type: double)
+ Reduce Output Operator
+ key expressions: _col0 (type: string)
+ null sort order: z
+ sort order: +
+ Map-reduce partition columns: _col0 (type: string)
+ Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
+ value expressions: _col1 (type: double)
Execution mode: vectorized, llap
LLAP IO: all inputs
Reducer 2
diff --git a/ql/src/test/results/clientpositive/llap/auto_join33.q.out b/ql/src/test/results/clientpositive/llap/auto_join33.q.out
index f68a9161f77d..710c6e75684e 100644
--- a/ql/src/test/results/clientpositive/llap/auto_join33.q.out
+++ b/ql/src/test/results/clientpositive/llap/auto_join33.q.out
@@ -32,10 +32,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: src
- filterExpr: (((UDFToDouble(key) + 1.0D) < 10.0D) and UDFToDouble(key) is not null) (type: boolean)
+ filterExpr: ((UDFToDouble(key) + 1.0D) < 10.0D) (type: boolean)
Statistics: Num rows: 500 Data size: 89000 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (((UDFToDouble(key) + 1.0D) < 10.0D) and UDFToDouble(key) is not null) (type: boolean)
+ predicate: ((UDFToDouble(key) + 1.0D) < 10.0D) (type: boolean)
Statistics: Num rows: 166 Data size: 29548 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: string), value (type: string)
@@ -64,10 +64,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: src
- filterExpr: (((UDFToDouble(key) + 2.0D) < 10.0D) and UDFToDouble(key) is not null) (type: boolean)
+ filterExpr: ((UDFToDouble(key) + 2.0D) < 10.0D) (type: boolean)
Statistics: Num rows: 500 Data size: 89000 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (((UDFToDouble(key) + 2.0D) < 10.0D) and UDFToDouble(key) is not null) (type: boolean)
+ predicate: ((UDFToDouble(key) + 2.0D) < 10.0D) (type: boolean)
Statistics: Num rows: 166 Data size: 29548 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: string), value (type: string)
diff --git a/ql/src/test/results/clientpositive/llap/auto_join_stats.q.out b/ql/src/test/results/clientpositive/llap/auto_join_stats.q.out
index 8ed693529f7c..e4c590dda7e5 100644
--- a/ql/src/test/results/clientpositive/llap/auto_join_stats.q.out
+++ b/ql/src/test/results/clientpositive/llap/auto_join_stats.q.out
@@ -48,44 +48,50 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: src1
- filterExpr: (key is not null and UDFToDouble(key) is not null) (type: boolean)
+ filterExpr: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 43500 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (key is not null and UDFToDouble(key) is not null) (type: boolean)
+ predicate: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 43500 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: string), UDFToDouble(key) (type: double)
outputColumnNames: _col0, _col1
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
- Reduce Output Operator
- key expressions: _col0 (type: string)
- null sort order: z
- sort order: +
- Map-reduce partition columns: _col0 (type: string)
+ Filter Operator
+ predicate: _col1 is not null (type: boolean)
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
- value expressions: _col1 (type: double)
+ Reduce Output Operator
+ key expressions: _col0 (type: string)
+ null sort order: z
+ sort order: +
+ Map-reduce partition columns: _col0 (type: string)
+ Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
+ value expressions: _col1 (type: double)
Execution mode: vectorized, llap
LLAP IO: all inputs
Map 3
Map Operator Tree:
TableScan
alias: src2
- filterExpr: (key is not null and UDFToDouble(key) is not null) (type: boolean)
+ filterExpr: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 43500 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (key is not null and UDFToDouble(key) is not null) (type: boolean)
+ predicate: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 43500 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: string), UDFToDouble(key) (type: double)
outputColumnNames: _col0, _col1
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
- Reduce Output Operator
- key expressions: _col0 (type: string)
- null sort order: z
- sort order: +
- Map-reduce partition columns: _col0 (type: string)
+ Filter Operator
+ predicate: _col1 is not null (type: boolean)
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
- value expressions: _col1 (type: double)
+ Reduce Output Operator
+ key expressions: _col0 (type: string)
+ null sort order: z
+ sort order: +
+ Map-reduce partition columns: _col0 (type: string)
+ Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
+ value expressions: _col1 (type: double)
Execution mode: vectorized, llap
LLAP IO: all inputs
Map 4
@@ -213,44 +219,50 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: src1
- filterExpr: (key is not null and UDFToDouble(key) is not null) (type: boolean)
+ filterExpr: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 43500 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (key is not null and UDFToDouble(key) is not null) (type: boolean)
+ predicate: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 43500 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: string), UDFToDouble(key) (type: double)
outputColumnNames: _col0, _col1
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
- Reduce Output Operator
- key expressions: _col0 (type: string)
- null sort order: z
- sort order: +
- Map-reduce partition columns: _col0 (type: string)
+ Filter Operator
+ predicate: _col1 is not null (type: boolean)
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
- value expressions: _col1 (type: double)
+ Reduce Output Operator
+ key expressions: _col0 (type: string)
+ null sort order: z
+ sort order: +
+ Map-reduce partition columns: _col0 (type: string)
+ Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
+ value expressions: _col1 (type: double)
Execution mode: vectorized, llap
LLAP IO: all inputs
Map 3
Map Operator Tree:
TableScan
alias: src2
- filterExpr: (key is not null and UDFToDouble(key) is not null) (type: boolean)
+ filterExpr: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 43500 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (key is not null and UDFToDouble(key) is not null) (type: boolean)
+ predicate: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 43500 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: string), UDFToDouble(key) (type: double)
outputColumnNames: _col0, _col1
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
- Reduce Output Operator
- key expressions: _col0 (type: string)
- null sort order: z
- sort order: +
- Map-reduce partition columns: _col0 (type: string)
+ Filter Operator
+ predicate: _col1 is not null (type: boolean)
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
- value expressions: _col1 (type: double)
+ Reduce Output Operator
+ key expressions: _col0 (type: string)
+ null sort order: z
+ sort order: +
+ Map-reduce partition columns: _col0 (type: string)
+ Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
+ value expressions: _col1 (type: double)
Execution mode: vectorized, llap
LLAP IO: all inputs
Map 4
diff --git a/ql/src/test/results/clientpositive/llap/auto_join_stats2.q.out b/ql/src/test/results/clientpositive/llap/auto_join_stats2.q.out
index f1a52ab82b0c..6b775c286e7b 100644
--- a/ql/src/test/results/clientpositive/llap/auto_join_stats2.q.out
+++ b/ql/src/test/results/clientpositive/llap/auto_join_stats2.q.out
@@ -14,7 +14,7 @@ POSTHOOK: query: load data local inpath '../../data/files/T1.txt' into table sma
POSTHOOK: type: LOAD
#### A masked pattern was here ####
POSTHOOK: Output: default@smalltable
-Warning: Map Join MAPJOIN[33][bigTable=?] in task 'Map 1' is a cross product
+Warning: Map Join MAPJOIN[37][bigTable=?] in task 'Map 1' is a cross product
PREHOOK: query: explain select src1.key, src2.key, smalltable.key from src src1 JOIN src src2 ON (src1.key = src2.key) JOIN smalltable ON (src1.key + src2.key = smalltable.key)
PREHOOK: type: QUERY
PREHOOK: Input: default@smalltable
@@ -41,47 +41,50 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: src2
- filterExpr: (key is not null and UDFToDouble(key) is not null) (type: boolean)
+ filterExpr: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 43500 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (key is not null and UDFToDouble(key) is not null) (type: boolean)
+ predicate: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 43500 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: string), UDFToDouble(key) (type: double)
outputColumnNames: _col0, _col1
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
- Map Join Operator
- condition map:
- Inner Join 0 to 1
- keys:
- 0
- 1
- outputColumnNames: _col0, _col1, _col2, _col3
- input vertices:
- 1 Map 2
- Statistics: Num rows: 500 Data size: 140000 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: _col1 is not null (type: boolean)
+ Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
Map Join Operator
condition map:
Inner Join 0 to 1
keys:
- 0 _col0 (type: string)
- 1 _col0 (type: string)
- outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ 0
+ 1
+ outputColumnNames: _col0, _col1, _col2, _col3
input vertices:
- 1 Map 3
- residual filter predicates: {((_col5 + _col1) = _col3)}
- Statistics: Num rows: 275 Data size: 77000 Basic stats: COMPLETE Column stats: NONE
- Select Operator
- expressions: _col4 (type: string), _col0 (type: string), _col2 (type: string)
- outputColumnNames: _col0, _col1, _col2
+ 1 Map 2
+ Statistics: Num rows: 500 Data size: 140000 Basic stats: COMPLETE Column stats: NONE
+ Map Join Operator
+ condition map:
+ Inner Join 0 to 1
+ keys:
+ 0 _col0 (type: string)
+ 1 _col0 (type: string)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ input vertices:
+ 1 Map 3
+ residual filter predicates: {((_col5 + _col1) = _col3)}
Statistics: Num rows: 275 Data size: 77000 Basic stats: COMPLETE Column stats: NONE
- File Output Operator
- compressed: false
+ Select Operator
+ expressions: _col4 (type: string), _col0 (type: string), _col2 (type: string)
+ outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 275 Data size: 77000 Basic stats: COMPLETE Column stats: NONE
- table:
- input format: org.apache.hadoop.mapred.SequenceFileInputFormat
- output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
- serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 275 Data size: 77000 Basic stats: COMPLETE Column stats: NONE
+ table:
+ input format: org.apache.hadoop.mapred.SequenceFileInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
Execution mode: llap
LLAP IO: all inputs
Map 2
@@ -108,22 +111,25 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: src1
- filterExpr: (key is not null and UDFToDouble(key) is not null) (type: boolean)
+ filterExpr: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 43500 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (key is not null and UDFToDouble(key) is not null) (type: boolean)
+ predicate: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 43500 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: string), UDFToDouble(key) (type: double)
outputColumnNames: _col0, _col1
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
- Reduce Output Operator
- key expressions: _col0 (type: string)
- null sort order: z
- sort order: +
- Map-reduce partition columns: _col0 (type: string)
+ Filter Operator
+ predicate: _col1 is not null (type: boolean)
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
- value expressions: _col1 (type: double)
+ Reduce Output Operator
+ key expressions: _col0 (type: string)
+ null sort order: z
+ sort order: +
+ Map-reduce partition columns: _col0 (type: string)
+ Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
+ value expressions: _col1 (type: double)
Execution mode: vectorized, llap
LLAP IO: all inputs
@@ -133,7 +139,7 @@ STAGE PLANS:
Processor Tree:
ListSink
-Warning: Map Join MAPJOIN[33][bigTable=?] in task 'Map 1' is a cross product
+Warning: Map Join MAPJOIN[37][bigTable=?] in task 'Map 1' is a cross product
PREHOOK: query: select src1.key, src2.key, smalltable.key from src src1 JOIN src src2 ON (src1.key = src2.key) JOIN smalltable ON (src1.key + src2.key = smalltable.key)
PREHOOK: type: QUERY
PREHOOK: Input: default@smalltable
@@ -198,79 +204,85 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: src1
- filterExpr: (key is not null and UDFToDouble(key) is not null) (type: boolean)
- probeDecodeDetails: cacheKey:HASH_MAP_MAPJOIN_51_container, bigKeyColName:key, smallTablePos:1, keyRatio:0.632
+ filterExpr: key is not null (type: boolean)
+ probeDecodeDetails: cacheKey:HASH_MAP_MAPJOIN_55_container, bigKeyColName:key, smallTablePos:1, keyRatio:0.632
Statistics: Num rows: 500 Data size: 43500 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (key is not null and UDFToDouble(key) is not null) (type: boolean)
+ predicate: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 43500 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: string), UDFToDouble(key) (type: double)
outputColumnNames: _col0, _col1
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
- Map Join Operator
- condition map:
- Inner Join 0 to 1
- keys:
- 0 _col0 (type: string)
- 1 _col0 (type: string)
- outputColumnNames: _col0, _col1, _col2, _col3
- input vertices:
- 1 Map 2
- Statistics: Num rows: 791 Data size: 150290 Basic stats: COMPLETE Column stats: COMPLETE
+ Filter Operator
+ predicate: _col1 is not null (type: boolean)
+ Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
Map Join Operator
condition map:
Inner Join 0 to 1
keys:
- 0 (_col1 + _col3) (type: double)
- 1 _col0 (type: double)
+ 0 _col0 (type: string)
+ 1 _col0 (type: string)
outputColumnNames: _col0, _col1, _col2, _col3
input vertices:
- 1 Map 3
- Statistics: Num rows: 870 Data size: 165319 Basic stats: COMPLETE Column stats: NONE
+ 1 Map 2
+ Statistics: Num rows: 791 Data size: 150290 Basic stats: COMPLETE Column stats: COMPLETE
Map Join Operator
condition map:
Inner Join 0 to 1
keys:
0 (_col1 + _col3) (type: double)
- 1 _col1 (type: double)
- outputColumnNames: _col0, _col2, _col5
+ 1 _col0 (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3
input vertices:
- 1 Map 4
- Statistics: Num rows: 957 Data size: 181850 Basic stats: COMPLETE Column stats: NONE
- Select Operator
- expressions: _col0 (type: string), _col2 (type: string), _col5 (type: string)
- outputColumnNames: _col0, _col1, _col2
+ 1 Map 3
+ Statistics: Num rows: 870 Data size: 165319 Basic stats: COMPLETE Column stats: NONE
+ Map Join Operator
+ condition map:
+ Inner Join 0 to 1
+ keys:
+ 0 (_col1 + _col3) (type: double)
+ 1 _col1 (type: double)
+ outputColumnNames: _col0, _col2, _col5
+ input vertices:
+ 1 Map 4
Statistics: Num rows: 957 Data size: 181850 Basic stats: COMPLETE Column stats: NONE
- File Output Operator
- compressed: false
+ Select Operator
+ expressions: _col0 (type: string), _col2 (type: string), _col5 (type: string)
+ outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 957 Data size: 181850 Basic stats: COMPLETE Column stats: NONE
- table:
- input format: org.apache.hadoop.mapred.SequenceFileInputFormat
- output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
- serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 957 Data size: 181850 Basic stats: COMPLETE Column stats: NONE
+ table:
+ input format: org.apache.hadoop.mapred.SequenceFileInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
Execution mode: vectorized, llap
LLAP IO: all inputs
Map 2
Map Operator Tree:
TableScan
alias: src2
- filterExpr: (key is not null and UDFToDouble(key) is not null) (type: boolean)
+ filterExpr: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 43500 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (key is not null and UDFToDouble(key) is not null) (type: boolean)
+ predicate: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 43500 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: string), UDFToDouble(key) (type: double)
outputColumnNames: _col0, _col1
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
- Reduce Output Operator
- key expressions: _col0 (type: string)
- null sort order: z
- sort order: +
- Map-reduce partition columns: _col0 (type: string)
+ Filter Operator
+ predicate: _col1 is not null (type: boolean)
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
- value expressions: _col1 (type: double)
+ Reduce Output Operator
+ key expressions: _col0 (type: string)
+ null sort order: z
+ sort order: +
+ Map-reduce partition columns: _col0 (type: string)
+ Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
+ value expressions: _col1 (type: double)
Execution mode: vectorized, llap
LLAP IO: all inputs
Map 3
diff --git a/ql/src/test/results/clientpositive/llap/auto_sortmerge_join_6.q.out b/ql/src/test/results/clientpositive/llap/auto_sortmerge_join_6.q.out
index 5e1727c7a159..5a45b6bae68f 100644
--- a/ql/src/test/results/clientpositive/llap/auto_sortmerge_join_6.q.out
+++ b/ql/src/test/results/clientpositive/llap/auto_sortmerge_join_6.q.out
@@ -588,10 +588,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: b
- filterExpr: (key is not null and UDFToDouble(key) is not null) (type: boolean)
+ filterExpr: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 2000 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (key is not null and UDFToDouble(key) is not null) (type: boolean)
+ predicate: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 2000 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: int)
@@ -601,10 +601,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: a
- filterExpr: (key is not null and UDFToDouble(key) is not null) (type: boolean)
+ filterExpr: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 2000 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (key is not null and UDFToDouble(key) is not null) (type: boolean)
+ predicate: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 2000 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: int), UDFToDouble(key) (type: double)
@@ -1200,10 +1200,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: b
- filterExpr: (key is not null and UDFToDouble(key) is not null) (type: boolean)
+ filterExpr: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 2000 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (key is not null and UDFToDouble(key) is not null) (type: boolean)
+ predicate: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 2000 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: int)
@@ -1213,10 +1213,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: a
- filterExpr: (key is not null and UDFToDouble(key) is not null) (type: boolean)
+ filterExpr: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 2000 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (key is not null and UDFToDouble(key) is not null) (type: boolean)
+ predicate: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 2000 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: int), UDFToDouble(key) (type: double)
diff --git a/ql/src/test/results/clientpositive/llap/bucket_map_join_tez2.q.out b/ql/src/test/results/clientpositive/llap/bucket_map_join_tez2.q.out
index 2c3ff1e4d7d9..08c1c8d2523a 100644
--- a/ql/src/test/results/clientpositive/llap/bucket_map_join_tez2.q.out
+++ b/ql/src/test/results/clientpositive/llap/bucket_map_join_tez2.q.out
@@ -480,10 +480,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: a
- filterExpr: UDFToDouble(key) is not null (type: boolean)
+ filterExpr: key is not null (type: boolean)
Statistics: Num rows: 242 Data size: 22990 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: UDFToDouble(key) is not null (type: boolean)
+ predicate: key is not null (type: boolean)
Statistics: Num rows: 242 Data size: 22990 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: int), value (type: string), UDFToDouble(key) (type: double)
@@ -571,10 +571,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: a
- filterExpr: UDFToDouble(key) is not null (type: boolean)
+ filterExpr: key is not null (type: boolean)
Statistics: Num rows: 242 Data size: 22990 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: UDFToDouble(key) is not null (type: boolean)
+ predicate: key is not null (type: boolean)
Statistics: Num rows: 242 Data size: 22990 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: int), value (type: string), UDFToDouble(key) (type: double)
@@ -1380,10 +1380,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: b
- filterExpr: (UDFToDouble(key) is not null or UDFToDouble(value) is not null) (type: boolean)
+ filterExpr: (key is not null or UDFToDouble(value) is not null) (type: boolean)
Statistics: Num rows: 242 Data size: 22990 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: UDFToDouble(key) is not null (type: boolean)
+ predicate: key is not null (type: boolean)
Statistics: Num rows: 242 Data size: 22990 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: value (type: string), UDFToDouble(key) (type: double)
@@ -1488,10 +1488,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: b
- filterExpr: (UDFToDouble(key) is not null or UDFToDouble(value) is not null) (type: boolean)
+ filterExpr: (key is not null or UDFToDouble(value) is not null) (type: boolean)
Statistics: Num rows: 242 Data size: 22990 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: UDFToDouble(key) is not null (type: boolean)
+ predicate: key is not null (type: boolean)
Statistics: Num rows: 242 Data size: 22990 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: value (type: string), UDFToDouble(key) (type: double)
@@ -2349,7 +2349,7 @@ POSTHOOK: Input: default@my_fact
OPTIMIZED SQL: SELECT `t0`.`bucket_col`, `t2`.`join_col` AS `account1`, `t0`.`accounting_period` AS `my_fact.accounting_period`
FROM (SELECT `bucket_col`, `join_col`, `accounting_period`
FROM `default`.`my_fact`
-WHERE `fiscal_year` = '2015' AND `accounting_period` = 10 AND `join_col` IS NOT NULL) AS `t0`
+WHERE `fiscal_year` = '2015' AND `accounting_period` = 1.00E1 AND `join_col` IS NOT NULL) AS `t0`
INNER JOIN (SELECT `join_col`
FROM `default`.`my_dim`
WHERE `filter_col` IN ('VAL1', 'VAL2') AND `join_col` IS NOT NULL) AS `t2` ON `t0`.`join_col` = `t2`.`join_col`
diff --git a/ql/src/test/results/clientpositive/llap/bucket_map_join_tez3.q.out b/ql/src/test/results/clientpositive/llap/bucket_map_join_tez3.q.out
index 56b18f1c9766..31a549366ce6 100644
--- a/ql/src/test/results/clientpositive/llap/bucket_map_join_tez3.q.out
+++ b/ql/src/test/results/clientpositive/llap/bucket_map_join_tez3.q.out
@@ -109,10 +109,10 @@ POSTHOOK: Input: default@target_table
OPTIMIZED SQL: SELECT `t0`.`date_col` AS `target_table.date_col`, CAST('pipeline' AS STRING) AS `target_table.string_col`, `t0`.`decimal_col` AS `target_table.decimal_col`, `t2`.`date_col` AS `s.date_col`, 'pipeline' AS `s.string_col`, `t2`.`decimal_col` AS `s.decimal_col`
FROM (SELECT `date_col`, `decimal_col`
FROM `default`.`target_table`
-WHERE 'pipeline' = `string_col` AND CASE WHEN `decimal_col` IS NOT NULL THEN CAST(`decimal_col` AS STRING) = '50000000000000000005905545593' ELSE FALSE END AND `date_col` IS NOT NULL AND `decimal_col` IS NOT NULL) AS `t0`
+WHERE 'pipeline' = `string_col` AND CAST(`decimal_col` AS STRING) = '50000000000000000005905545593' AND `date_col` IS NOT NULL) AS `t0`
INNER JOIN (SELECT `date_col`, `decimal_col`
FROM `default`.`source_table`
-WHERE CASE WHEN `decimal_col` IS NOT NULL THEN CAST(`decimal_col` AS STRING) = '50000000000000000005905545593' ELSE FALSE END AND `date_col` IS NOT NULL AND `decimal_col` IS NOT NULL) AS `t2` ON `t0`.`date_col` = `t2`.`date_col` AND `t0`.`decimal_col` = `t2`.`decimal_col`
+WHERE CAST(`decimal_col` AS STRING) = '50000000000000000005905545593' AND `date_col` IS NOT NULL) AS `t2` ON `t0`.`date_col` = `t2`.`date_col` AND `t0`.`decimal_col` = `t2`.`decimal_col`
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -129,12 +129,12 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: target_table
- filterExpr: ((string_col = 'pipeline') and if(decimal_col is not null, (CAST( decimal_col AS STRING) = '50000000000000000005905545593'), false) and date_col is not null and decimal_col is not null) (type: boolean)
+ filterExpr: ((string_col = 'pipeline') and (CAST( decimal_col AS STRING) = '50000000000000000005905545593') and date_col is not null) (type: boolean)
Statistics: Num rows: 20 Data size: 5200 Basic stats: COMPLETE Column stats: COMPLETE
GatherStats: false
Filter Operator
isSamplingPred: false
- predicate: ((string_col = 'pipeline') and if(decimal_col is not null, (CAST( decimal_col AS STRING) = '50000000000000000005905545593'), false) and date_col is not null and decimal_col is not null) (type: boolean)
+ predicate: ((string_col = 'pipeline') and (CAST( decimal_col AS STRING) = '50000000000000000005905545593') and date_col is not null) (type: boolean)
Statistics: Num rows: 10 Data size: 2600 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: date_col (type: date), decimal_col (type: decimal(38,0))
@@ -229,12 +229,12 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: source_table
- filterExpr: (if(decimal_col is not null, (CAST( decimal_col AS STRING) = '50000000000000000005905545593'), false) and date_col is not null and decimal_col is not null) (type: boolean)
+ filterExpr: ((CAST( decimal_col AS STRING) = '50000000000000000005905545593') and date_col is not null) (type: boolean)
Statistics: Num rows: 7 Data size: 1176 Basic stats: COMPLETE Column stats: COMPLETE
GatherStats: false
Filter Operator
isSamplingPred: false
- predicate: (if(decimal_col is not null, (CAST( decimal_col AS STRING) = '50000000000000000005905545593'), false) and date_col is not null and decimal_col is not null) (type: boolean)
+ predicate: ((CAST( decimal_col AS STRING) = '50000000000000000005905545593') and date_col is not null) (type: boolean)
Statistics: Num rows: 3 Data size: 504 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: date_col (type: date), decimal_col (type: decimal(38,0))
@@ -336,10 +336,10 @@ POSTHOOK: Input: default@target_table
OPTIMIZED SQL: SELECT `t0`.`date_col` AS `target_table.date_col`, CAST('pipeline' AS STRING) AS `target_table.string_col`, `t0`.`decimal_col` AS `target_table.decimal_col`, `t3`.`date_col` AS `s.date_col`, 'pipeline' AS `s.string_col`, `t3`.`decimal_col` AS `s.decimal_col`
FROM (SELECT `date_col`, `decimal_col`
FROM `default`.`target_table`
-WHERE 'pipeline' = `string_col` AND CASE WHEN `decimal_col` IS NOT NULL THEN CAST(`decimal_col` AS STRING) = '50000000000000000005905545593' ELSE FALSE END AND `date_col` IS NOT NULL AND `decimal_col` IS NOT NULL) AS `t0`
+WHERE 'pipeline' = `string_col` AND CAST(`decimal_col` AS STRING) = '50000000000000000005905545593' AND `date_col` IS NOT NULL) AS `t0`
INNER JOIN (SELECT `date_col`, `decimal_col`
FROM `default`.`source_table`
-WHERE CASE WHEN `decimal_col` IS NOT NULL THEN CAST(`decimal_col` AS STRING) = '50000000000000000005905545593' ELSE FALSE END AND `date_col` IS NOT NULL AND `decimal_col` IS NOT NULL
+WHERE CAST(`decimal_col` AS STRING) = '50000000000000000005905545593' AND `date_col` IS NOT NULL
GROUP BY `date_col`, `decimal_col`) AS `t3` ON `t0`.`date_col` = `t3`.`date_col` AND `t0`.`decimal_col` = `t3`.`decimal_col`
STAGE DEPENDENCIES:
Stage-1 is a root stage
@@ -358,12 +358,12 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: target_table
- filterExpr: ((string_col = 'pipeline') and if(decimal_col is not null, (CAST( decimal_col AS STRING) = '50000000000000000005905545593'), false) and date_col is not null and decimal_col is not null) (type: boolean)
+ filterExpr: ((string_col = 'pipeline') and (CAST( decimal_col AS STRING) = '50000000000000000005905545593') and date_col is not null) (type: boolean)
Statistics: Num rows: 20 Data size: 5200 Basic stats: COMPLETE Column stats: COMPLETE
GatherStats: false
Filter Operator
isSamplingPred: false
- predicate: ((string_col = 'pipeline') and if(decimal_col is not null, (CAST( decimal_col AS STRING) = '50000000000000000005905545593'), false) and date_col is not null and decimal_col is not null) (type: boolean)
+ predicate: ((string_col = 'pipeline') and (CAST( decimal_col AS STRING) = '50000000000000000005905545593') and date_col is not null) (type: boolean)
Statistics: Num rows: 10 Data size: 2600 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: date_col (type: date), decimal_col (type: decimal(38,0))
@@ -458,12 +458,12 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: source_table
- filterExpr: (if(decimal_col is not null, (CAST( decimal_col AS STRING) = '50000000000000000005905545593'), false) and date_col is not null and decimal_col is not null) (type: boolean)
+ filterExpr: ((CAST( decimal_col AS STRING) = '50000000000000000005905545593') and date_col is not null) (type: boolean)
Statistics: Num rows: 7 Data size: 1176 Basic stats: COMPLETE Column stats: COMPLETE
GatherStats: false
Filter Operator
isSamplingPred: false
- predicate: (if(decimal_col is not null, (CAST( decimal_col AS STRING) = '50000000000000000005905545593'), false) and date_col is not null and decimal_col is not null) (type: boolean)
+ predicate: ((CAST( decimal_col AS STRING) = '50000000000000000005905545593') and date_col is not null) (type: boolean)
Statistics: Num rows: 3 Data size: 504 Basic stats: COMPLETE Column stats: COMPLETE
Group By Operator
keys: date_col (type: date), decimal_col (type: decimal(38,0))
@@ -586,10 +586,10 @@ POSTHOOK: Input: default@target_table
OPTIMIZED SQL: SELECT `t0`.`date_col` AS `target_table.date_col`, CAST('pipeline' AS STRING) AS `target_table.string_col`, `t0`.`decimal_col` AS `target_table.decimal_col`, `t2`.`date_col` AS `s.date_col`, 'pipeline' AS `s.string_col`, `t2`.`decimal_col` AS `s.decimal_col`
FROM (SELECT `date_col`, `decimal_col`
FROM `default`.`target_table`
-WHERE 'pipeline' = `string_col` AND CASE WHEN `decimal_col` IS NOT NULL THEN CAST(`decimal_col` AS STRING) = '50000000000000000005905545593' ELSE FALSE END AND `date_col` IS NOT NULL AND `decimal_col` IS NOT NULL) AS `t0`
+WHERE 'pipeline' = `string_col` AND CAST(`decimal_col` AS STRING) = '50000000000000000005905545593' AND `date_col` IS NOT NULL) AS `t0`
INNER JOIN (SELECT `date_col`, `decimal_col`
FROM `default`.`source_table`
-WHERE CASE WHEN `decimal_col` IS NOT NULL THEN CAST(`decimal_col` AS STRING) = '50000000000000000005905545593' ELSE FALSE END AND `date_col` IS NOT NULL AND `decimal_col` IS NOT NULL) AS `t2` ON `t0`.`date_col` = `t2`.`date_col` AND `t0`.`decimal_col` = `t2`.`decimal_col`
+WHERE CAST(`decimal_col` AS STRING) = '50000000000000000005905545593' AND `date_col` IS NOT NULL) AS `t2` ON `t0`.`date_col` = `t2`.`date_col` AND `t0`.`decimal_col` = `t2`.`decimal_col`
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -606,12 +606,12 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: target_table
- filterExpr: ((string_col = 'pipeline') and if(decimal_col is not null, (CAST( decimal_col AS STRING) = '50000000000000000005905545593'), false) and date_col is not null and decimal_col is not null) (type: boolean)
+ filterExpr: ((string_col = 'pipeline') and (CAST( decimal_col AS STRING) = '50000000000000000005905545593') and date_col is not null) (type: boolean)
Statistics: Num rows: 20 Data size: 5200 Basic stats: COMPLETE Column stats: COMPLETE
GatherStats: false
Filter Operator
isSamplingPred: false
- predicate: ((string_col = 'pipeline') and if(decimal_col is not null, (CAST( decimal_col AS STRING) = '50000000000000000005905545593'), false) and date_col is not null and decimal_col is not null) (type: boolean)
+ predicate: ((string_col = 'pipeline') and (CAST( decimal_col AS STRING) = '50000000000000000005905545593') and date_col is not null) (type: boolean)
Statistics: Num rows: 10 Data size: 2600 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: date_col (type: date), decimal_col (type: decimal(38,0))
@@ -705,12 +705,12 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: source_table
- filterExpr: (if(decimal_col is not null, (CAST( decimal_col AS STRING) = '50000000000000000005905545593'), false) and date_col is not null and decimal_col is not null) (type: boolean)
+ filterExpr: ((CAST( decimal_col AS STRING) = '50000000000000000005905545593') and date_col is not null) (type: boolean)
Statistics: Num rows: 7 Data size: 1176 Basic stats: COMPLETE Column stats: COMPLETE
GatherStats: false
Filter Operator
isSamplingPred: false
- predicate: (if(decimal_col is not null, (CAST( decimal_col AS STRING) = '50000000000000000005905545593'), false) and date_col is not null and decimal_col is not null) (type: boolean)
+ predicate: ((CAST( decimal_col AS STRING) = '50000000000000000005905545593') and date_col is not null) (type: boolean)
Statistics: Num rows: 3 Data size: 504 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: date_col (type: date), decimal_col (type: decimal(38,0))
@@ -812,10 +812,10 @@ POSTHOOK: Input: default@target_table
OPTIMIZED SQL: SELECT `t0`.`date_col` AS `target_table.date_col`, CAST('pipeline' AS STRING) AS `target_table.string_col`, `t0`.`decimal_col` AS `target_table.decimal_col`, `t3`.`date_col` AS `s.date_col`, 'pipeline' AS `s.string_col`, `t3`.`decimal_col` AS `s.decimal_col`
FROM (SELECT `date_col`, `decimal_col`
FROM `default`.`target_table`
-WHERE 'pipeline' = `string_col` AND CASE WHEN `decimal_col` IS NOT NULL THEN CAST(`decimal_col` AS STRING) = '50000000000000000005905545593' ELSE FALSE END AND `date_col` IS NOT NULL AND `decimal_col` IS NOT NULL) AS `t0`
+WHERE 'pipeline' = `string_col` AND CAST(`decimal_col` AS STRING) = '50000000000000000005905545593' AND `date_col` IS NOT NULL) AS `t0`
INNER JOIN (SELECT `date_col`, `decimal_col`
FROM `default`.`source_table`
-WHERE CASE WHEN `decimal_col` IS NOT NULL THEN CAST(`decimal_col` AS STRING) = '50000000000000000005905545593' ELSE FALSE END AND `date_col` IS NOT NULL AND `decimal_col` IS NOT NULL
+WHERE CAST(`decimal_col` AS STRING) = '50000000000000000005905545593' AND `date_col` IS NOT NULL
GROUP BY `date_col`, `decimal_col`) AS `t3` ON `t0`.`date_col` = `t3`.`date_col` AND `t0`.`decimal_col` = `t3`.`decimal_col`
STAGE DEPENDENCIES:
Stage-1 is a root stage
@@ -834,12 +834,12 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: target_table
- filterExpr: ((string_col = 'pipeline') and if(decimal_col is not null, (CAST( decimal_col AS STRING) = '50000000000000000005905545593'), false) and date_col is not null and decimal_col is not null) (type: boolean)
+ filterExpr: ((string_col = 'pipeline') and (CAST( decimal_col AS STRING) = '50000000000000000005905545593') and date_col is not null) (type: boolean)
Statistics: Num rows: 20 Data size: 5200 Basic stats: COMPLETE Column stats: COMPLETE
GatherStats: false
Filter Operator
isSamplingPred: false
- predicate: ((string_col = 'pipeline') and if(decimal_col is not null, (CAST( decimal_col AS STRING) = '50000000000000000005905545593'), false) and date_col is not null and decimal_col is not null) (type: boolean)
+ predicate: ((string_col = 'pipeline') and (CAST( decimal_col AS STRING) = '50000000000000000005905545593') and date_col is not null) (type: boolean)
Statistics: Num rows: 10 Data size: 2600 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: date_col (type: date), decimal_col (type: decimal(38,0))
@@ -933,12 +933,12 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: source_table
- filterExpr: (if(decimal_col is not null, (CAST( decimal_col AS STRING) = '50000000000000000005905545593'), false) and date_col is not null and decimal_col is not null) (type: boolean)
+ filterExpr: ((CAST( decimal_col AS STRING) = '50000000000000000005905545593') and date_col is not null) (type: boolean)
Statistics: Num rows: 7 Data size: 1176 Basic stats: COMPLETE Column stats: COMPLETE
GatherStats: false
Filter Operator
isSamplingPred: false
- predicate: (if(decimal_col is not null, (CAST( decimal_col AS STRING) = '50000000000000000005905545593'), false) and date_col is not null and decimal_col is not null) (type: boolean)
+ predicate: ((CAST( decimal_col AS STRING) = '50000000000000000005905545593') and date_col is not null) (type: boolean)
Statistics: Num rows: 3 Data size: 504 Basic stats: COMPLETE Column stats: COMPLETE
Group By Operator
keys: date_col (type: date), decimal_col (type: decimal(38,0))
@@ -1061,10 +1061,10 @@ POSTHOOK: Input: default@target_table
OPTIMIZED SQL: SELECT `t0`.`date_col` AS `target_table.date_col`, CAST('pipeline' AS STRING) AS `target_table.string_col`, `t0`.`decimal_col` AS `target_table.decimal_col`, `t2`.`date_col` AS `s.date_col`, 'pipeline' AS `s.string_col`, `t2`.`decimal_col` AS `s.decimal_col`
FROM (SELECT `date_col`, `decimal_col`
FROM `default`.`target_table`
-WHERE 'pipeline' = `string_col` AND CASE WHEN `decimal_col` IS NOT NULL THEN CAST(`decimal_col` AS STRING) = '50000000000000000005905545593' ELSE FALSE END AND `date_col` IS NOT NULL AND `decimal_col` IS NOT NULL) AS `t0`
+WHERE 'pipeline' = `string_col` AND CAST(`decimal_col` AS STRING) = '50000000000000000005905545593' AND `date_col` IS NOT NULL) AS `t0`
INNER JOIN (SELECT `date_col`, `decimal_col`
FROM `default`.`source_table`
-WHERE CASE WHEN `decimal_col` IS NOT NULL THEN CAST(`decimal_col` AS STRING) = '50000000000000000005905545593' ELSE FALSE END AND `date_col` IS NOT NULL AND `decimal_col` IS NOT NULL) AS `t2` ON `t0`.`date_col` = `t2`.`date_col` AND `t0`.`decimal_col` = `t2`.`decimal_col`
+WHERE CAST(`decimal_col` AS STRING) = '50000000000000000005905545593' AND `date_col` IS NOT NULL) AS `t2` ON `t0`.`date_col` = `t2`.`date_col` AND `t0`.`decimal_col` = `t2`.`decimal_col`
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -1081,12 +1081,12 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: target_table
- filterExpr: ((string_col = 'pipeline') and if(decimal_col is not null, (CAST( decimal_col AS STRING) = '50000000000000000005905545593'), false) and date_col is not null and decimal_col is not null) (type: boolean)
+ filterExpr: ((string_col = 'pipeline') and (CAST( decimal_col AS STRING) = '50000000000000000005905545593') and date_col is not null) (type: boolean)
Statistics: Num rows: 20 Data size: 5200 Basic stats: COMPLETE Column stats: COMPLETE
GatherStats: false
Filter Operator
isSamplingPred: false
- predicate: ((string_col = 'pipeline') and if(decimal_col is not null, (CAST( decimal_col AS STRING) = '50000000000000000005905545593'), false) and date_col is not null and decimal_col is not null) (type: boolean)
+ predicate: ((string_col = 'pipeline') and (CAST( decimal_col AS STRING) = '50000000000000000005905545593') and date_col is not null) (type: boolean)
Statistics: Num rows: 10 Data size: 2600 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: date_col (type: date), decimal_col (type: decimal(38,0))
@@ -1181,12 +1181,12 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: source_table
- filterExpr: (if(decimal_col is not null, (CAST( decimal_col AS STRING) = '50000000000000000005905545593'), false) and date_col is not null and decimal_col is not null) (type: boolean)
+ filterExpr: ((CAST( decimal_col AS STRING) = '50000000000000000005905545593') and date_col is not null) (type: boolean)
Statistics: Num rows: 7 Data size: 1176 Basic stats: COMPLETE Column stats: COMPLETE
GatherStats: false
Filter Operator
isSamplingPred: false
- predicate: (if(decimal_col is not null, (CAST( decimal_col AS STRING) = '50000000000000000005905545593'), false) and date_col is not null and decimal_col is not null) (type: boolean)
+ predicate: ((CAST( decimal_col AS STRING) = '50000000000000000005905545593') and date_col is not null) (type: boolean)
Statistics: Num rows: 3 Data size: 504 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: date_col (type: date), decimal_col (type: decimal(38,0))
@@ -1288,10 +1288,10 @@ POSTHOOK: Input: default@target_table
OPTIMIZED SQL: SELECT `t0`.`date_col` AS `target_table.date_col`, CAST('pipeline' AS STRING) AS `target_table.string_col`, `t0`.`decimal_col` AS `target_table.decimal_col`, `t3`.`date_col` AS `s.date_col`, 'pipeline' AS `s.string_col`, `t3`.`decimal_col` AS `s.decimal_col`
FROM (SELECT `date_col`, `decimal_col`
FROM `default`.`target_table`
-WHERE 'pipeline' = `string_col` AND CASE WHEN `decimal_col` IS NOT NULL THEN CAST(`decimal_col` AS STRING) = '50000000000000000005905545593' ELSE FALSE END AND `date_col` IS NOT NULL AND `decimal_col` IS NOT NULL) AS `t0`
+WHERE 'pipeline' = `string_col` AND CAST(`decimal_col` AS STRING) = '50000000000000000005905545593' AND `date_col` IS NOT NULL) AS `t0`
INNER JOIN (SELECT `date_col`, `decimal_col`
FROM `default`.`source_table`
-WHERE CASE WHEN `decimal_col` IS NOT NULL THEN CAST(`decimal_col` AS STRING) = '50000000000000000005905545593' ELSE FALSE END AND `date_col` IS NOT NULL AND `decimal_col` IS NOT NULL
+WHERE CAST(`decimal_col` AS STRING) = '50000000000000000005905545593' AND `date_col` IS NOT NULL
GROUP BY `date_col`, `decimal_col`) AS `t3` ON `t0`.`date_col` = `t3`.`date_col` AND `t0`.`decimal_col` = `t3`.`decimal_col`
STAGE DEPENDENCIES:
Stage-1 is a root stage
@@ -1310,12 +1310,12 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: target_table
- filterExpr: ((string_col = 'pipeline') and if(decimal_col is not null, (CAST( decimal_col AS STRING) = '50000000000000000005905545593'), false) and date_col is not null and decimal_col is not null) (type: boolean)
+ filterExpr: ((string_col = 'pipeline') and (CAST( decimal_col AS STRING) = '50000000000000000005905545593') and date_col is not null) (type: boolean)
Statistics: Num rows: 20 Data size: 5200 Basic stats: COMPLETE Column stats: COMPLETE
GatherStats: false
Filter Operator
isSamplingPred: false
- predicate: ((string_col = 'pipeline') and if(decimal_col is not null, (CAST( decimal_col AS STRING) = '50000000000000000005905545593'), false) and date_col is not null and decimal_col is not null) (type: boolean)
+ predicate: ((string_col = 'pipeline') and (CAST( decimal_col AS STRING) = '50000000000000000005905545593') and date_col is not null) (type: boolean)
Statistics: Num rows: 10 Data size: 2600 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: date_col (type: date), decimal_col (type: decimal(38,0))
@@ -1410,12 +1410,12 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: source_table
- filterExpr: (if(decimal_col is not null, (CAST( decimal_col AS STRING) = '50000000000000000005905545593'), false) and date_col is not null and decimal_col is not null) (type: boolean)
+ filterExpr: ((CAST( decimal_col AS STRING) = '50000000000000000005905545593') and date_col is not null) (type: boolean)
Statistics: Num rows: 7 Data size: 1176 Basic stats: COMPLETE Column stats: COMPLETE
GatherStats: false
Filter Operator
isSamplingPred: false
- predicate: (if(decimal_col is not null, (CAST( decimal_col AS STRING) = '50000000000000000005905545593'), false) and date_col is not null and decimal_col is not null) (type: boolean)
+ predicate: ((CAST( decimal_col AS STRING) = '50000000000000000005905545593') and date_col is not null) (type: boolean)
Statistics: Num rows: 3 Data size: 504 Basic stats: COMPLETE Column stats: COMPLETE
Group By Operator
keys: date_col (type: date), decimal_col (type: decimal(38,0))
@@ -1538,10 +1538,10 @@ POSTHOOK: Input: default@target_table
OPTIMIZED SQL: SELECT `t0`.`date_col` AS `target_table.date_col`, CAST('pipeline' AS STRING) AS `target_table.string_col`, `t0`.`decimal_col` AS `target_table.decimal_col`, `t2`.`date_col` AS `s.date_col`, 'pipeline' AS `s.string_col`, `t2`.`decimal_col` AS `s.decimal_col`
FROM (SELECT `date_col`, `decimal_col`
FROM `default`.`target_table`
-WHERE 'pipeline' = `string_col` AND CASE WHEN `decimal_col` IS NOT NULL THEN CAST(`decimal_col` AS STRING) = '50000000000000000005905545593' ELSE FALSE END AND `date_col` IS NOT NULL AND `decimal_col` IS NOT NULL) AS `t0`
+WHERE 'pipeline' = `string_col` AND CAST(`decimal_col` AS STRING) = '50000000000000000005905545593' AND `date_col` IS NOT NULL) AS `t0`
INNER JOIN (SELECT `date_col`, `decimal_col`
FROM `default`.`source_table`
-WHERE CASE WHEN `decimal_col` IS NOT NULL THEN CAST(`decimal_col` AS STRING) = '50000000000000000005905545593' ELSE FALSE END AND `date_col` IS NOT NULL AND `decimal_col` IS NOT NULL) AS `t2` ON `t0`.`date_col` = `t2`.`date_col` AND `t0`.`decimal_col` = `t2`.`decimal_col`
+WHERE CAST(`decimal_col` AS STRING) = '50000000000000000005905545593' AND `date_col` IS NOT NULL) AS `t2` ON `t0`.`date_col` = `t2`.`date_col` AND `t0`.`decimal_col` = `t2`.`decimal_col`
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -1558,12 +1558,12 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: target_table
- filterExpr: ((string_col = 'pipeline') and if(decimal_col is not null, (CAST( decimal_col AS STRING) = '50000000000000000005905545593'), false) and date_col is not null and decimal_col is not null) (type: boolean)
+ filterExpr: ((string_col = 'pipeline') and (CAST( decimal_col AS STRING) = '50000000000000000005905545593') and date_col is not null) (type: boolean)
Statistics: Num rows: 20 Data size: 5200 Basic stats: COMPLETE Column stats: COMPLETE
GatherStats: false
Filter Operator
isSamplingPred: false
- predicate: ((string_col = 'pipeline') and if(decimal_col is not null, (CAST( decimal_col AS STRING) = '50000000000000000005905545593'), false) and date_col is not null and decimal_col is not null) (type: boolean)
+ predicate: ((string_col = 'pipeline') and (CAST( decimal_col AS STRING) = '50000000000000000005905545593') and date_col is not null) (type: boolean)
Statistics: Num rows: 10 Data size: 2600 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: date_col (type: date), decimal_col (type: decimal(38,0))
@@ -1657,12 +1657,12 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: source_table
- filterExpr: (if(decimal_col is not null, (CAST( decimal_col AS STRING) = '50000000000000000005905545593'), false) and date_col is not null and decimal_col is not null) (type: boolean)
+ filterExpr: ((CAST( decimal_col AS STRING) = '50000000000000000005905545593') and date_col is not null) (type: boolean)
Statistics: Num rows: 7 Data size: 1176 Basic stats: COMPLETE Column stats: COMPLETE
GatherStats: false
Filter Operator
isSamplingPred: false
- predicate: (if(decimal_col is not null, (CAST( decimal_col AS STRING) = '50000000000000000005905545593'), false) and date_col is not null and decimal_col is not null) (type: boolean)
+ predicate: ((CAST( decimal_col AS STRING) = '50000000000000000005905545593') and date_col is not null) (type: boolean)
Statistics: Num rows: 3 Data size: 504 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: date_col (type: date), decimal_col (type: decimal(38,0))
@@ -1764,10 +1764,10 @@ POSTHOOK: Input: default@target_table
OPTIMIZED SQL: SELECT `t0`.`date_col` AS `target_table.date_col`, CAST('pipeline' AS STRING) AS `target_table.string_col`, `t0`.`decimal_col` AS `target_table.decimal_col`, `t3`.`date_col` AS `s.date_col`, 'pipeline' AS `s.string_col`, `t3`.`decimal_col` AS `s.decimal_col`
FROM (SELECT `date_col`, `decimal_col`
FROM `default`.`target_table`
-WHERE 'pipeline' = `string_col` AND CASE WHEN `decimal_col` IS NOT NULL THEN CAST(`decimal_col` AS STRING) = '50000000000000000005905545593' ELSE FALSE END AND `date_col` IS NOT NULL AND `decimal_col` IS NOT NULL) AS `t0`
+WHERE 'pipeline' = `string_col` AND CAST(`decimal_col` AS STRING) = '50000000000000000005905545593' AND `date_col` IS NOT NULL) AS `t0`
INNER JOIN (SELECT `date_col`, `decimal_col`
FROM `default`.`source_table`
-WHERE CASE WHEN `decimal_col` IS NOT NULL THEN CAST(`decimal_col` AS STRING) = '50000000000000000005905545593' ELSE FALSE END AND `date_col` IS NOT NULL AND `decimal_col` IS NOT NULL
+WHERE CAST(`decimal_col` AS STRING) = '50000000000000000005905545593' AND `date_col` IS NOT NULL
GROUP BY `date_col`, `decimal_col`) AS `t3` ON `t0`.`date_col` = `t3`.`date_col` AND `t0`.`decimal_col` = `t3`.`decimal_col`
STAGE DEPENDENCIES:
Stage-1 is a root stage
@@ -1786,12 +1786,12 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: target_table
- filterExpr: ((string_col = 'pipeline') and if(decimal_col is not null, (CAST( decimal_col AS STRING) = '50000000000000000005905545593'), false) and date_col is not null and decimal_col is not null) (type: boolean)
+ filterExpr: ((string_col = 'pipeline') and (CAST( decimal_col AS STRING) = '50000000000000000005905545593') and date_col is not null) (type: boolean)
Statistics: Num rows: 20 Data size: 5200 Basic stats: COMPLETE Column stats: COMPLETE
GatherStats: false
Filter Operator
isSamplingPred: false
- predicate: ((string_col = 'pipeline') and if(decimal_col is not null, (CAST( decimal_col AS STRING) = '50000000000000000005905545593'), false) and date_col is not null and decimal_col is not null) (type: boolean)
+ predicate: ((string_col = 'pipeline') and (CAST( decimal_col AS STRING) = '50000000000000000005905545593') and date_col is not null) (type: boolean)
Statistics: Num rows: 10 Data size: 2600 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: date_col (type: date), decimal_col (type: decimal(38,0))
@@ -1885,12 +1885,12 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: source_table
- filterExpr: (if(decimal_col is not null, (CAST( decimal_col AS STRING) = '50000000000000000005905545593'), false) and date_col is not null and decimal_col is not null) (type: boolean)
+ filterExpr: ((CAST( decimal_col AS STRING) = '50000000000000000005905545593') and date_col is not null) (type: boolean)
Statistics: Num rows: 7 Data size: 1176 Basic stats: COMPLETE Column stats: COMPLETE
GatherStats: false
Filter Operator
isSamplingPred: false
- predicate: (if(decimal_col is not null, (CAST( decimal_col AS STRING) = '50000000000000000005905545593'), false) and date_col is not null and decimal_col is not null) (type: boolean)
+ predicate: ((CAST( decimal_col AS STRING) = '50000000000000000005905545593') and date_col is not null) (type: boolean)
Statistics: Num rows: 3 Data size: 504 Basic stats: COMPLETE Column stats: COMPLETE
Group By Operator
keys: date_col (type: date), decimal_col (type: decimal(38,0))
diff --git a/ql/src/test/results/clientpositive/llap/cardinality_preserving_join_opt.q.out b/ql/src/test/results/clientpositive/llap/cardinality_preserving_join_opt.q.out
index 46ef1ef6f75a..89b749aa9fb2 100644
--- a/ql/src/test/results/clientpositive/llap/cardinality_preserving_join_opt.q.out
+++ b/ql/src/test/results/clientpositive/llap/cardinality_preserving_join_opt.q.out
@@ -89,9 +89,9 @@ CBO PLAN:
HiveProject(c_first_name=[$3], _c1=[$5], _c2=[*($1, $6)], c_customer_sk=[$4], ss_customer_sk=[$0])
HiveJoin(condition=[=($2, $4)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(ss_customer_sk=[$1], EXPR$0=[*(+($0, $0), $2)], EXPR$1=[CAST($1):BIGINT])
- HiveFilter(condition=[IS NOT NULL(CAST($1):BIGINT)])
+ HiveFilter(condition=[IS NOT NULL($1)])
HiveTableScan(table=[[default, store_sales]], table:alias=[ss])
- HiveProject(c_first_name=[$0], c_customer_sk=[$2], _o__c1=[||(||(||(||($0, _UTF-16LE' ':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), $1), _UTF-16LE' ':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), $1)], EXPR$1=[-(1, $3)])
+ HiveProject(c_first_name=[$0], c_customer_sk=[$2], _o__c1=[||(||(||(||($0, ' ':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), $1), ' ':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), $1)], EXPR$1=[-(1.0E0, $3)])
HiveFilter(condition=[IS NOT NULL($2)])
HiveTableScan(table=[[default, customer]], table:alias=[c])
@@ -158,11 +158,9 @@ CBO PLAN:
HiveProject(c_first_name=[$2], _c1=[$4], _c2=[*(*(+($6, $6), $8), $5)], c_customer_sk=[$3], ss_customer_sk=[$0])
HiveJoin(condition=[=($0, $7)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($1, $3)], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(ss_customer_sk=[$0], EXPR$1=[CAST($0):BIGINT])
- HiveFilter(condition=[IS NOT NULL(CAST($0):BIGINT)])
- HiveProject(ss_customer_sk=[$1])
- HiveTableScan(table=[[default, store_sales]], table:alias=[ss])
- HiveProject(c_first_name=[$0], c_customer_sk=[$2], _o__c1=[||(||(||(||($0, _UTF-16LE' ':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), $1), _UTF-16LE' ':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), $1)], EXPR$1=[-(1, $3)])
+ HiveProject(ss_customer_sk=[$1], EXPR$1=[CAST($1):BIGINT])
+ HiveTableScan(table=[[default, store_sales]], table:alias=[ss])
+ HiveProject(c_first_name=[$0], c_customer_sk=[$2], _o__c1=[||(||(||(||($0, ' ':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), $1), ' ':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), $1)], EXPR$1=[-(1.0E0, $3)])
HiveFilter(condition=[IS NOT NULL($2)])
HiveProject(c_first_name=[$0], c_last_name=[$1], c_customer_sk=[$2], c_discount=[$3])
HiveTableScan(table=[[default, customer]], table:alias=[c])
@@ -237,11 +235,11 @@ POSTHOOK: Input: default@customer
POSTHOOK: Input: default@store_sales
#### A masked pattern was here ####
CBO PLAN:
-HiveProject(c_first_name=[$4], _c1=[||(||(||(||($4, _UTF-16LE' ':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), $5), _UTF-16LE' ':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), $5)], _c2=[*($1, -(1, $7))], c_customer_sk=[$3], ss_customer_sk=[$0])
+HiveProject(c_first_name=[$4], _c1=[||(||(||(||($4, ' ':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), $5), ' ':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), $5)], _c2=[*($1, -(1.0E0, $7))], c_customer_sk=[$3], ss_customer_sk=[$0])
HiveJoin(condition=[=($3, $6)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($2, $3)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(ss_customer_sk=[$1], EXPR$0=[*(+($0, $0), $2)], EXPR$1=[CAST($1):BIGINT])
- HiveFilter(condition=[IS NOT NULL(CAST($1):BIGINT)])
+ HiveFilter(condition=[IS NOT NULL($1)])
HiveProject(ss_quantity=[$0], ss_customer_sk=[$1], ss_list_price=[$2])
HiveTableScan(table=[[default, store_sales]], table:alias=[ss])
HiveProject(c_customer_sk=[$2])
@@ -309,14 +307,12 @@ POSTHOOK: Input: default@customer
POSTHOOK: Input: default@store_sales
#### A masked pattern was here ####
CBO PLAN:
-HiveProject(c_first_name=[$6], _c1=[||(||(||(||($6, _UTF-16LE' ':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), $7), _UTF-16LE' ':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), $7)], _c2=[*(*(+($3, $3), $5), -(1, $9))], c_customer_sk=[$2], ss_customer_sk=[$0])
+HiveProject(c_first_name=[$6], _c1=[||(||(||(||($6, ' ':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), $7), ' ':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), $7)], _c2=[*(*(+($3, $3), $5), -(1.0E0, $9))], c_customer_sk=[$2], ss_customer_sk=[$0])
HiveJoin(condition=[=($2, $8)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($0, $4)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($1, $2)], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(ss_customer_sk=[$0], EXPR$1=[CAST($0):BIGINT])
- HiveFilter(condition=[IS NOT NULL(CAST($0):BIGINT)])
- HiveProject(ss_customer_sk=[$1])
- HiveTableScan(table=[[default, store_sales]], table:alias=[ss])
+ HiveProject(ss_customer_sk=[$1], EXPR$1=[CAST($1):BIGINT])
+ HiveTableScan(table=[[default, store_sales]], table:alias=[ss])
HiveProject(c_customer_sk=[$2])
HiveTableScan(table=[[default, customer]], table:alias=[c])
HiveProject(ss_quantity=[$0], ss_customer_sk=[$1], ss_list_price=[$2])
@@ -375,10 +371,8 @@ CBO PLAN:
HiveProject(c_first_name=[$3], ss_customer_sk=[$0], c_customer_sk=[$2])
HiveJoin(condition=[=($2, $4)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($2, $1)], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(ss_customer_sk=[$0], EXPR$0=[CAST($0):BIGINT])
- HiveFilter(condition=[IS NOT NULL(CAST($0):BIGINT)])
- HiveProject(ss_customer_sk=[$1])
- HiveTableScan(table=[[default, store_sales]], table:alias=[ss])
+ HiveProject(ss_customer_sk=[$1], EXPR$0=[CAST($1):BIGINT])
+ HiveTableScan(table=[[default, store_sales]], table:alias=[ss])
HiveProject(c_customer_sk=[$2])
HiveTableScan(table=[[default, customer]], table:alias=[customer])
HiveProject(c_first_name=[$0], c_customer_sk=[$2])
diff --git a/ql/src/test/results/clientpositive/llap/cbo_aggregate_reduce_functions_rule.q.out b/ql/src/test/results/clientpositive/llap/cbo_aggregate_reduce_functions_rule.q.out
index ffd29645cfb8..23f090f774b6 100644
--- a/ql/src/test/results/clientpositive/llap/cbo_aggregate_reduce_functions_rule.q.out
+++ b/ql/src/test/results/clientpositive/llap/cbo_aggregate_reduce_functions_rule.q.out
@@ -158,7 +158,7 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: default@test
#### A masked pattern was here ####
CBO PLAN:
-HiveProject(_c0=[CAST(COALESCE($0, 0E0:DOUBLE)):DOUBLE], _c1=[CAST(COALESCE($1, 0E0:DOUBLE)):DOUBLE], _c2=[CAST(COALESCE($2, 0E0:DOUBLE)):DOUBLE], _c3=[CAST(COALESCE($3, 0E0:DOUBLE)):DOUBLE], _c4=[CAST(COALESCE($4, 0E0:DOUBLE)):DOUBLE], _c5=[CAST(COALESCE($5, 0E0:DOUBLE)):DOUBLE], _c6=[/($6, $7)], _c7=[/($1, $8)], _c8=[/($9, $10)], _c9=[/($3, $11)], _c10=[/($12, $13)], _c11=[/($5, $14)], _c12=[POWER(/(-($15, /(*($6, $6), $7)), $7), 0.5:DECIMAL(2, 1))], _c13=[POWER(/(GREATEST(0, -($16, /(*($1, $1), $8))), $8), 0.5:DECIMAL(2, 1))], _c14=[POWER(/(-($17, /(*($9, $9), $10)), $10), 0.5:DECIMAL(2, 1))], _c15=[POWER(/(GREATEST(0, -($18, /(*($3, $3), $11))), $11), 0.5:DECIMAL(2, 1))], _c16=[POWER(/(-($19, /(*($12, $12), $13)), $13), 0.5:DECIMAL(2, 1))], _c17=[POWER(/(GREATEST(0, -($20, /(*($5, $5), $14))), $14), 0.5:DECIMAL(2, 1))], _c18=[POWER(/(-($15, /(*($6, $6), $7)), CASE(=($7, 1), null:BIGINT, -($7, 1))), 0.5:DECIMAL(2, 1))], _c19=[POWER(/(GREATEST(0, -($16, /(*($1, $1), $8))), CASE(=($8, 1), null:BIGINT, -($8, 1))), 0.5:DECIMAL(2, 1))], _c20=[POWER(/(-($17, /(*($9, $9), $10)), CASE(=($10, 1), null:BIGINT, -($10, 1))), 0.5:DECIMAL(2, 1))], _c21=[POWER(/(GREATEST(0, -($18, /(*($3, $3), $11))), CASE(=($11, 1), null:BIGINT, -($11, 1))), 0.5:DECIMAL(2, 1))], _c22=[POWER(/(-($19, /(*($12, $12), $13)), CASE(=($13, 1), null:BIGINT, -($13, 1))), 0.5:DECIMAL(2, 1))], _c23=[POWER(/(GREATEST(0, -($20, /(*($5, $5), $14))), CASE(=($14, 1), null:BIGINT, -($14, 1))), 0.5:DECIMAL(2, 1))], _c24=[/(-($15, /(*($6, $6), $7)), $7)], _c25=[/(GREATEST(0, -($16, /(*($1, $1), $8))), $8)], _c26=[/(-($17, /(*($9, $9), $10)), $10)], _c27=[/(GREATEST(0, -($18, /(*($3, $3), $11))), $11)], _c28=[/(-($19, /(*($12, $12), $13)), $13)], _c29=[/(GREATEST(0, -($20, /(*($5, $5), $14))), $14)], _c30=[/(-($15, /(*($6, $6), $7)), CASE(=($7, 1), null:BIGINT, -($7, 1)))], _c31=[/(GREATEST(0, -($16, /(*($1, $1), $8))), CASE(=($8, 1), null:BIGINT, -($8, 1)))], _c32=[/(-($17, /(*($9, $9), $10)), CASE(=($10, 1), null:BIGINT, -($10, 1)))], _c33=[/(GREATEST(0, -($18, /(*($3, $3), $11))), CASE(=($11, 1), null:BIGINT, -($11, 1)))], _c34=[/(-($19, /(*($12, $12), $13)), CASE(=($13, 1), null:BIGINT, -($13, 1)))], _c35=[/(GREATEST(0, -($20, /(*($5, $5), $14))), CASE(=($14, 1), null:BIGINT, -($14, 1)))], _c36=[$0], _c37=[$1], _c38=[$2], _c39=[$3], _c40=[$4], _c41=[$5], _c42=[$21], _c43=[$8], _c44=[$22], _c45=[$11], _c46=[$23], _c47=[$14])
+HiveProject(_c0=[CAST(COALESCE($0, 0.0E0:DOUBLE)):DOUBLE], _c1=[CAST(COALESCE($1, 0.0E0:DOUBLE)):DOUBLE], _c2=[CAST(COALESCE($2, 0.0E0:DOUBLE)):DOUBLE], _c3=[CAST(COALESCE($3, 0.0E0:DOUBLE)):DOUBLE], _c4=[CAST(COALESCE($4, 0.0E0:DOUBLE)):DOUBLE], _c5=[CAST(COALESCE($5, 0.0E0:DOUBLE)):DOUBLE], _c6=[/($6, $7)], _c7=[/($1, $8)], _c8=[/($9, $10)], _c9=[/($3, $11)], _c10=[/($12, $13)], _c11=[/($5, $14)], _c12=[POWER(/(-($15, /(*($6, $6), $7)), $7), 0.5:DECIMAL(2, 1))], _c13=[POWER(/(GREATEST(0, -($16, /(*($1, $1), $8))), $8), 0.5:DECIMAL(2, 1))], _c14=[POWER(/(-($17, /(*($9, $9), $10)), $10), 0.5:DECIMAL(2, 1))], _c15=[POWER(/(GREATEST(0, -($18, /(*($3, $3), $11))), $11), 0.5:DECIMAL(2, 1))], _c16=[POWER(/(-($19, /(*($12, $12), $13)), $13), 0.5:DECIMAL(2, 1))], _c17=[POWER(/(GREATEST(0, -($20, /(*($5, $5), $14))), $14), 0.5:DECIMAL(2, 1))], _c18=[POWER(/(-($15, /(*($6, $6), $7)), CASE(=($7, 1), null:BIGINT, -($7, 1))), 0.5:DECIMAL(2, 1))], _c19=[POWER(/(GREATEST(0, -($16, /(*($1, $1), $8))), CASE(=($8, 1), null:BIGINT, -($8, 1))), 0.5:DECIMAL(2, 1))], _c20=[POWER(/(-($17, /(*($9, $9), $10)), CASE(=($10, 1), null:BIGINT, -($10, 1))), 0.5:DECIMAL(2, 1))], _c21=[POWER(/(GREATEST(0, -($18, /(*($3, $3), $11))), CASE(=($11, 1), null:BIGINT, -($11, 1))), 0.5:DECIMAL(2, 1))], _c22=[POWER(/(-($19, /(*($12, $12), $13)), CASE(=($13, 1), null:BIGINT, -($13, 1))), 0.5:DECIMAL(2, 1))], _c23=[POWER(/(GREATEST(0, -($20, /(*($5, $5), $14))), CASE(=($14, 1), null:BIGINT, -($14, 1))), 0.5:DECIMAL(2, 1))], _c24=[/(-($15, /(*($6, $6), $7)), $7)], _c25=[/(GREATEST(0, -($16, /(*($1, $1), $8))), $8)], _c26=[/(-($17, /(*($9, $9), $10)), $10)], _c27=[/(GREATEST(0, -($18, /(*($3, $3), $11))), $11)], _c28=[/(-($19, /(*($12, $12), $13)), $13)], _c29=[/(GREATEST(0, -($20, /(*($5, $5), $14))), $14)], _c30=[/(-($15, /(*($6, $6), $7)), CASE(=($7, 1), null:BIGINT, -($7, 1)))], _c31=[/(GREATEST(0, -($16, /(*($1, $1), $8))), CASE(=($8, 1), null:BIGINT, -($8, 1)))], _c32=[/(-($17, /(*($9, $9), $10)), CASE(=($10, 1), null:BIGINT, -($10, 1)))], _c33=[/(GREATEST(0, -($18, /(*($3, $3), $11))), CASE(=($11, 1), null:BIGINT, -($11, 1)))], _c34=[/(-($19, /(*($12, $12), $13)), CASE(=($13, 1), null:BIGINT, -($13, 1)))], _c35=[/(GREATEST(0, -($20, /(*($5, $5), $14))), CASE(=($14, 1), null:BIGINT, -($14, 1)))], _c36=[$0], _c37=[$1], _c38=[$2], _c39=[$3], _c40=[$4], _c41=[$5], _c42=[$21], _c43=[$8], _c44=[$22], _c45=[$11], _c46=[$23], _c47=[$14])
HiveAggregate(group=[{}], agg#0=[sum($0)], agg#1=[sum($1)], agg#2=[sum($2)], agg#3=[sum($3)], agg#4=[sum($4)], agg#5=[sum($5)], agg#6=[sum($6)], agg#7=[count($6)], agg#8=[count($1)], agg#9=[sum($7)], agg#10=[count($7)], agg#11=[count($3)], agg#12=[sum($8)], agg#13=[count($8)], agg#14=[count($5)], agg#15=[sum($9)], agg#16=[sum($10)], agg#17=[sum($11)], agg#18=[sum($12)], agg#19=[sum($13)], agg#20=[sum($14)], agg#21=[count($0)], agg#22=[count($2)], agg#23=[count($4)])
HiveProject($f0=[$0], $f1=[CAST($0):DOUBLE], $f2=[$1], $f3=[CAST($1):DOUBLE], $f4=[$2], $f5=[CAST($2):DOUBLE], $f00=[CAST($0):DOUBLE], $f20=[CAST($1):DOUBLE], $f40=[CAST($2):DOUBLE], $f9=[*(CAST($0):DOUBLE, CAST($0):DOUBLE)], $f10=[*(CAST($0):DOUBLE, CAST($0):DOUBLE)], $f11=[*(CAST($1):DOUBLE, CAST($1):DOUBLE)], $f12=[*(CAST($1):DOUBLE, CAST($1):DOUBLE)], $f13=[*(CAST($2):DOUBLE, CAST($2):DOUBLE)], $f14=[*(CAST($2):DOUBLE, CAST($2):DOUBLE)])
HiveTableScan(table=[[default, test]], table:alias=[test])
diff --git a/ql/src/test/results/clientpositive/llap/cbo_case_when_type_conversion.q.out b/ql/src/test/results/clientpositive/llap/cbo_case_when_type_conversion.q.out
index 5f22106d856a..929877025830 100644
--- a/ql/src/test/results/clientpositive/llap/cbo_case_when_type_conversion.q.out
+++ b/ql/src/test/results/clientpositive/llap/cbo_case_when_type_conversion.q.out
@@ -26,7 +26,7 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: default@t1
#### A masked pattern was here ####
CBO PLAN:
-HiveProject(col1=[$0], col2=[CASE(=(CAST(UPPER($0)):VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'A'), _UTF-16LE'OK':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'N/A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")])
+HiveProject(col1=[$0], col2=[CASE(=(CAST(UPPER($0)):VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'A'), 'OK':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'N/A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")])
HiveTableScan(table=[[default, t1]], table:alias=[t1])
PREHOOK: query: explain
@@ -77,7 +77,7 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: default@t1
#### A masked pattern was here ####
CBO PLAN:
-HiveProject(col1=[$0], col2=[CASE(=(CAST(UPPER($0)):VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'A'), _UTF-16LE'OK':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'N/A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")])
+HiveProject(col1=[$0], col2=[CASE(=(CAST(UPPER($0)):VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'A'), 'OK':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'N/A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")])
HiveTableScan(table=[[default, t1]], table:alias=[t1])
PREHOOK: query: explain
@@ -138,7 +138,7 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: default@t1
#### A masked pattern was here ####
CBO PLAN:
-HiveProject(col1=[$0], col2=[CASE(=(CAST(LOWER($0)):VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'a'), _UTF-16LE'OK a':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", =(CAST(LOWER($0)):VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'b'), _UTF-16LE'OK b':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'N/A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")])
+HiveProject(col1=[$0], col2=[CASE(=(CAST(LOWER($0)):VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'a'), 'OK a':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", =(CAST(LOWER($0)):VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'b'), 'OK b':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'N/A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")])
HiveTableScan(table=[[default, t1]], table:alias=[t1])
PREHOOK: query: explain cbo
@@ -162,7 +162,7 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: default@t1
#### A masked pattern was here ####
CBO PLAN:
-HiveProject(col1=[$0], col2=[CASE(=(CAST(LOWER($0)):VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'a'), _UTF-16LE'OK a':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", =(CAST(LOWER($0)):VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'b'), _UTF-16LE'OK b':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'N/A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")])
+HiveProject(col1=[$0], col2=[CASE(=(CAST(LOWER($0)):VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'a'), 'OK a':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", =(CAST(LOWER($0)):VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'b'), 'OK b':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'N/A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")])
HiveTableScan(table=[[default, t1]], table:alias=[t1])
PREHOOK: query: select col1,
diff --git a/ql/src/test/results/clientpositive/llap/cbo_component_access_if.q.out b/ql/src/test/results/clientpositive/llap/cbo_component_access_if.q.out
index b7d732b542b4..7d89b7cb926d 100644
--- a/ql/src/test/results/clientpositive/llap/cbo_component_access_if.q.out
+++ b/ql/src/test/results/clientpositive/llap/cbo_component_access_if.q.out
@@ -23,6 +23,6 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: default@cbo_component_access_if_tbl
#### A masked pattern was here ####
CBO PLAN:
-HiveProject(codes=[CASE(=(concat_ws(_UTF-16LE',':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", COMPONENT_ACCESS($0).code), _UTF-16LE''), null:VARCHAR(2147483647) CHARACTER SET "UTF-16LE", concat_ws(_UTF-16LE',':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", COMPONENT_ACCESS($0).code))])
+HiveProject(codes=[CASE(=(concat_ws(',':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", COMPONENT_ACCESS($0).code), ''), null:VARCHAR(2147483647) CHARACTER SET "UTF-16LE", concat_ws(',':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", COMPONENT_ACCESS($0).code))])
HiveTableScan(table=[[default, cbo_component_access_if_tbl]], table:alias=[cbo_component_access_if_tbl])
diff --git a/ql/src/test/results/clientpositive/llap/cbo_constantfolding.q.out b/ql/src/test/results/clientpositive/llap/cbo_constantfolding.q.out
index 43f257a806a2..782fd1bad752 100644
--- a/ql/src/test/results/clientpositive/llap/cbo_constantfolding.q.out
+++ b/ql/src/test/results/clientpositive/llap/cbo_constantfolding.q.out
@@ -31,7 +31,7 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: _dummy_database@_dummy_table
#### A masked pattern was here ####
CBO PLAN:
-HiveProject(_c0=[CAST(_UTF-16LE'2023-01-01 00:00:00':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
+HiveProject(_c0=[CAST('2023-01-01 00:00:00':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
HiveTableScan(table=[[_dummy_database, _dummy_table]], table:alias=[_dummy_table])
PREHOOK: query: EXPLAIN CBO SELECT TO_UNIX_TIMESTAMP(DATE '2023-01-01')
diff --git a/ql/src/test/results/clientpositive/llap/cbo_filter_proj_transpose_noinputref.q.out b/ql/src/test/results/clientpositive/llap/cbo_filter_proj_transpose_noinputref.q.out
index 654f7b6d9a5e..dadf667ae493 100644
--- a/ql/src/test/results/clientpositive/llap/cbo_filter_proj_transpose_noinputref.q.out
+++ b/ql/src/test/results/clientpositive/llap/cbo_filter_proj_transpose_noinputref.q.out
@@ -40,11 +40,11 @@ POSTHOOK: Input: default@test1
POSTHOOK: Input: default@test2
#### A masked pattern was here ####
CBO PLAN:
-HiveProject(c.m=[CAST(_UTF-16LE'2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
+HiveProject(c.m=[CAST('2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
HiveJoin(condition=[true], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(DUMMY=[0])
HiveTableScan(table=[[default, test1]], table:alias=[test1])
- HiveProject(m=[CAST(_UTF-16LE'2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
- HiveFilter(condition=[=(_UTF-16LE'2', $0)])
+ HiveProject(m=[CAST('2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
+ HiveFilter(condition=[=('2', $0)])
HiveTableScan(table=[[default, test2]], table:alias=[d])
diff --git a/ql/src/test/results/clientpositive/llap/cbo_join_transitive_pred_loop_3.q.out b/ql/src/test/results/clientpositive/llap/cbo_join_transitive_pred_loop_3.q.out
index f6c27dbf5618..06e23928e795 100644
--- a/ql/src/test/results/clientpositive/llap/cbo_join_transitive_pred_loop_3.q.out
+++ b/ql/src/test/results/clientpositive/llap/cbo_join_transitive_pred_loop_3.q.out
@@ -54,14 +54,14 @@ CBO PLAN:
HiveProject(a.bd_id=[$0])
HiveJoin(condition=[=($0, $1)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(bd_id=[$0])
- HiveFilter(condition=[AND(OR(AND(=($0, 8), IN($1, _UTF-16LE'A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'C':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")), AND(=($0, 9), IN($1, _UTF-16LE'A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'B':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"))), IS NOT NULL($0))])
+ HiveFilter(condition=[OR(AND(=($0, 8), IN($1, 'A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'C':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")), AND(=($0, 9), IN($1, 'A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'B':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")))])
HiveTableScan(table=[[default, tablea]], table:alias=[t])
HiveProject($f0=[$0])
HiveUnion(all=[true])
HiveProject($f0=[CAST(9:BIGINT):BIGINT])
- HiveFilter(condition=[AND(=($0, 9), IN($1, _UTF-16LE'A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'B':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"))])
+ HiveFilter(condition=[AND(=($0, 9), IN($1, 'A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'B':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"))])
HiveTableScan(table=[[default, tablea]], table:alias=[t])
HiveProject(bd_id=[$0])
- HiveFilter(condition=[AND(OR(AND(=($0, 8), IN($1, _UTF-16LE'A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'C':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")), AND(=($0, 9), IN($1, _UTF-16LE'A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'B':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"))), IS NOT NULL($0))])
+ HiveFilter(condition=[OR(AND(=($0, 8), IN($1, 'A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'C':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")), AND(=($0, 9), IN($1, 'A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'B':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")))])
HiveTableScan(table=[[default, tablea]], table:alias=[t])
diff --git a/ql/src/test/results/clientpositive/llap/cbo_join_transitive_pred_loop_4.q.out b/ql/src/test/results/clientpositive/llap/cbo_join_transitive_pred_loop_4.q.out
index dc73afba7cdf..51207a3f2c42 100644
--- a/ql/src/test/results/clientpositive/llap/cbo_join_transitive_pred_loop_4.q.out
+++ b/ql/src/test/results/clientpositive/llap/cbo_join_transitive_pred_loop_4.q.out
@@ -54,7 +54,7 @@ CBO PLAN:
HiveProject(a.bd_id=[$0])
HiveJoin(condition=[=($0, $1)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(bd_id=[$0])
- HiveFilter(condition=[AND(OR(AND(=($0, 8), IN($1, _UTF-16LE'A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'C':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")), AND(=($0, 9), IN($1, _UTF-16LE'A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'B':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"))), IS NOT NULL($0))])
+ HiveFilter(condition=[OR(AND(=($0, 8), IN($1, 'A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'C':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")), AND(=($0, 9), IN($1, 'A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'B':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")))])
HiveTableScan(table=[[default, tablea]], table:alias=[t])
HiveProject($f0=[$0])
HiveFilter(condition=[=($1, 2)])
@@ -64,10 +64,10 @@ HiveProject(a.bd_id=[$0])
HiveProject($f0=[$0], $f1=[$1])
HiveAggregate(group=[{0}], agg#0=[count()])
HiveProject($f0=[CAST(9:BIGINT):BIGINT])
- HiveFilter(condition=[AND(=($0, 9), IN($1, _UTF-16LE'A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'B':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"))])
+ HiveFilter(condition=[AND(=($0, 9), IN($1, 'A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'B':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"))])
HiveTableScan(table=[[default, tablea]], table:alias=[t])
HiveProject(bd_id=[$0], $f1=[$1])
HiveAggregate(group=[{0}], agg#0=[count()])
- HiveFilter(condition=[AND(OR(AND(=($0, 8), IN($1, _UTF-16LE'A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'C':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")), AND(=($0, 9), IN($1, _UTF-16LE'A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'B':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"))), IS NOT NULL($0))])
+ HiveFilter(condition=[OR(AND(=($0, 8), IN($1, 'A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'C':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")), AND(=($0, 9), IN($1, 'A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'B':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")))])
HiveTableScan(table=[[default, tablea]], table:alias=[t])
diff --git a/ql/src/test/results/clientpositive/llap/cbo_limit.q.out b/ql/src/test/results/clientpositive/llap/cbo_limit.q.out
index 1744eabbf1c6..02ea1c060187 100644
--- a/ql/src/test/results/clientpositive/llap/cbo_limit.q.out
+++ b/ql/src/test/results/clientpositive/llap/cbo_limit.q.out
@@ -351,7 +351,7 @@ HiveProject(c_int=[$0])
HiveProject(c_int=[$0])
HiveSortLimit(fetch=[1])
HiveProject(c_int=[$2])
- HiveFilter(condition=[>($3, 1E0)])
+ HiveFilter(condition=[>($3, 1.0E0)])
HiveTableScan(table=[[default, cbo_t1]], table:alias=[cbo_t1])
PREHOOK: query: select c_int from (select c_int from cbo_t1 where c_float > 1.0 limit 1) subq where c_int > 1 order by c_int
diff --git a/ql/src/test/results/clientpositive/llap/cbo_rp_explain.q.out b/ql/src/test/results/clientpositive/llap/cbo_rp_explain.q.out
index f5964fecd36b..424454a73c9b 100644
--- a/ql/src/test/results/clientpositive/llap/cbo_rp_explain.q.out
+++ b/ql/src/test/results/clientpositive/llap/cbo_rp_explain.q.out
@@ -51,8 +51,8 @@ CBO PLAN:
HiveProject(lname=[$2], title=[$3])
HiveJoin(condition=[=($0, $4)], joinType=[inner], algorithm=[none], cost=[not available])
HiveSortExchange(distribution=[hash[0]], collation=[[0]])
- HiveProject(id=[$0], fname=[CAST(_UTF-16LE'Victor':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], lname=[$2])
- HiveFilter(condition=[AND(=($1, _UTF-16LE'Victor'), IS NOT NULL($0))])
+ HiveProject(id=[$0], fname=[CAST('Victor':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], lname=[$2])
+ HiveFilter(condition=[AND(=($1, 'Victor'), IS NOT NULL($0))])
HiveTableScan(table=[[default, author]], qbid:alias=[author])
HiveSortExchange(distribution=[hash[1]], collation=[[1]])
HiveProject(title=[$1], author=[$2])
diff --git a/ql/src/test/results/clientpositive/llap/collision.q.out b/ql/src/test/results/clientpositive/llap/collision.q.out
index b82de9954c1d..f98b14f46784 100644
--- a/ql/src/test/results/clientpositive/llap/collision.q.out
+++ b/ql/src/test/results/clientpositive/llap/collision.q.out
@@ -479,7 +479,7 @@ POSTHOOK: Input: cpn@mytable_1000_n
POSTHOOK: Output: cpn_view@myview_1000_n
POSTHOOK: Output: database:cpn_view
CBO PLAN:
-HiveProject(col0=[$0], col1=[$1], col2=[$2], col3=[$118], col4=[$3], col5=[$4], col6=[$5], col7=[$6], col8=[CASE(IS NOT NULL($7), $7, 0:DECIMAL(1, 0))], col9=[CASE(IS NOT NULL($8), $8, 0:DECIMAL(28, 0))], col10=[$9], alt_col11=[CASE(CASE(IS NOT NULL($20), =(CAST($20):VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'X'), false), _UTF-16LE'Y':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", CAST($20):VARCHAR(2147483647) CHARACTER SET "UTF-16LE")], alt_col12=[CASE(CASE(IS NOT NULL($91), =(CAST($91):VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'X'), false), _UTF-16LE'Y':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", CAST($91):VARCHAR(2147483647) CHARACTER SET "UTF-16LE")], col13=[$10], col14=[CASE(IN(trim($4), _UTF-16LE'A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'B':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'C':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), CASE(IS NOT NULL($62), $62, -1:DECIMAL(18, 0)), CASE(IS NOT NULL($62), $62, 1:DECIMAL(18, 0)))], col15=[$11], col16=[$12], col17=[$13], col18=[$14], col19=[$15], col20=[$17], col21=[$16], col22=[$18], col23=[$19], col11=[CASE(IS NOT NULL(trim($20)), trim($20), _UTF-16LE'Z':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")], col24=[$21], col25=[$22], col26=[$23], col27=[$24], col28=[$25], col29=[$27], col30=[$28], col31=[$29], col32=[$31], col33=[$32], col34=[$33], col35=[$34], col36=[$35], col37=[$36], col38=[$37], col39=[CASE(IS NOT NULL(trim($39)), trim($39), _UTF-16LE'N':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")], parent_col9=[CASE(IS NOT NULL($40), $40, -999:DECIMAL(28, 0))], col40=[CASE(IS NOT NULL($41), CAST($41):INTEGER, -1)], col41=[$42], col42=[$43], col43=[CASE(=(trim($72), _UTF-16LE''), _UTF-16LE'U':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", CASE(IS NOT NULL(trim($72)), trim($72), _UTF-16LE'U':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"))], col44=[$83], col45=[$84], col46=[$85], col47=[$86], col48=[$87], col49=[$88], col50=[$89], col51=[$90], col12=[$91], col52=[$92], col53=[$93], col54=[$94], col55=[$95], col56=[$96], col57=[$97], col58=[CASE(IS NOT NULL($98), $98, -1)], col59=[$99], col60=[$100], col61=[$102], col62=[$103], col63=[CASE(=(trim(CAST($106):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), _UTF-16LE''), _UTF-16LE'-1':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", CASE(IS NOT NULL(trim(CAST($106):VARCHAR(2147483647) CHARACTER SET "UTF-16LE")), trim(CAST($106):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), _UTF-16LE'-1':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"))], col64=[$107], col65=[$105], col66=[$108], col67=[CASE(IS NOT NULL($68), $68, -999:DECIMAL(18, 0))], col68=[$109], col69=[$110], col70=[$113], col71=[$114], col72=[$30], col73=[$38], col74=[$104], col75=[$26], col76=[$101], col77=[$115], col116=[$116], col117=[$117], col78=[CASE(IS NOT NULL($56), $56, -1:DECIMAL(18, 0))], col79=[$69], col114=[$111], col115=[$112], col92=[CASE(IS NOT NULL($49), CAST($49):VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'-99':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")], col80=[CASE(IS NOT NULL($52), $52, -1)], col81=[$48], col93=[$50], col82=[$73], col83=[$47], col118=[$44], col84=[CASE(IS NOT NULL($74), CAST($74):VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'-99':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")], col85=[$64], col86=[$79], col87=[$58], col88=[CASE(IS NOT NULL($80), CAST($80):VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'-99':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")])
+HiveProject(col0=[$0], col1=[$1], col2=[$2], col3=[$118], col4=[$3], col5=[$4], col6=[$5], col7=[$6], col8=[CASE(IS NOT NULL($7), $7, 0:DECIMAL(1, 0))], col9=[CASE(IS NOT NULL($8), $8, 0:DECIMAL(28, 0))], col10=[$9], alt_col11=[CASE(=(CAST($20):VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'X'), 'Y':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", CAST($20):VARCHAR(2147483647) CHARACTER SET "UTF-16LE")], alt_col12=[CASE(=(CAST($91):VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'X'), 'Y':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", CAST($91):VARCHAR(2147483647) CHARACTER SET "UTF-16LE")], col13=[$10], col14=[CASE(IN(trim($4), 'A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'B':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'C':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), CASE(IS NOT NULL($62), $62, -1:DECIMAL(18, 0)), CASE(IS NOT NULL($62), $62, 1:DECIMAL(18, 0)))], col15=[$11], col16=[$12], col17=[$13], col18=[$14], col19=[$15], col20=[$17], col21=[$16], col22=[$18], col23=[$19], col11=[CASE(IS NOT NULL(trim($20)), trim($20), 'Z':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")], col24=[$21], col25=[$22], col26=[$23], col27=[$24], col28=[$25], col29=[$27], col30=[$28], col31=[$29], col32=[$31], col33=[$32], col34=[$33], col35=[$34], col36=[$35], col37=[$36], col38=[$37], col39=[CASE(IS NOT NULL(trim($39)), trim($39), 'N':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")], parent_col9=[CASE(IS NOT NULL($40), $40, -999:DECIMAL(28, 0))], col40=[CASE(IS NOT NULL($41), CAST($41):INTEGER, -1)], col41=[$42], col42=[$43], col43=[CASE(=(trim($72), ''), 'U':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", CASE(IS NOT NULL(trim($72)), trim($72), 'U':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"))], col44=[$83], col45=[$84], col46=[$85], col47=[$86], col48=[$87], col49=[$88], col50=[$89], col51=[$90], col12=[$91], col52=[$92], col53=[$93], col54=[$94], col55=[$95], col56=[$96], col57=[$97], col58=[CASE(IS NOT NULL($98), $98, -1)], col59=[$99], col60=[$100], col61=[$102], col62=[$103], col63=[CASE(=(trim(CAST($106):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), ''), '-1':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", CASE(IS NOT NULL(trim(CAST($106):VARCHAR(2147483647) CHARACTER SET "UTF-16LE")), trim(CAST($106):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), '-1':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"))], col64=[$107], col65=[$105], col66=[$108], col67=[CASE(IS NOT NULL($68), $68, -999:DECIMAL(18, 0))], col68=[$109], col69=[$110], col70=[$113], col71=[$114], col72=[$30], col73=[$38], col74=[$104], col75=[$26], col76=[$101], col77=[$115], col116=[$116], col117=[$117], col78=[CASE(IS NOT NULL($56), $56, -1:DECIMAL(18, 0))], col79=[$69], col114=[$111], col115=[$112], col92=[CASE(IS NOT NULL($49), CAST($49):VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '-99':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")], col80=[CASE(IS NOT NULL($52), $52, -1)], col81=[$48], col93=[$50], col82=[$73], col83=[$47], col118=[$44], col84=[CASE(IS NOT NULL($74), CAST($74):VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '-99':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")], col85=[$64], col86=[$79], col87=[$58], col88=[CASE(IS NOT NULL($80), CAST($80):VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '-99':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")])
HiveTableScan(table=[[cpn, mytable_1000_n]], table:alias=[mytable_1000_n])
PREHOOK: query: CREATE OR REPLACE VIEW cpn_view.myview_1000_n AS
diff --git a/ql/src/test/results/clientpositive/llap/comments.q.out b/ql/src/test/results/clientpositive/llap/comments.q.out
index 461f7190a0f0..bb6028210dc7 100644
--- a/ql/src/test/results/clientpositive/llap/comments.q.out
+++ b/ql/src/test/results/clientpositive/llap/comments.q.out
@@ -82,10 +82,10 @@ POSTHOOK: Input: default@src
OPTIMIZED SQL: SELECT COUNT(*) AS `_c1`
FROM (SELECT `key`
FROM `default`.`src`
-WHERE `key` > 0) AS `t0`
+WHERE `key` > 0E0) AS `t0`
INNER JOIN (SELECT `key`
FROM `default`.`src`
-WHERE `key` > 0) AS `t2` ON `t0`.`key` = `t2`.`key`
+WHERE `key` > 0E0) AS `t2` ON `t0`.`key` = `t2`.`key`
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
diff --git a/ql/src/test/results/clientpositive/llap/constraints_explain_ddl.q.out b/ql/src/test/results/clientpositive/llap/constraints_explain_ddl.q.out
index 98c8a9056d22..caed0ad92bec 100644
--- a/ql/src/test/results/clientpositive/llap/constraints_explain_ddl.q.out
+++ b/ql/src/test/results/clientpositive/llap/constraints_explain_ddl.q.out
@@ -116,7 +116,7 @@ EXPLAIN CBO SELECT c_custkey from customer_removal_n0 where c_nation IN ('USA',
EXPLAIN VECTORIZED SELECT c_custkey from customer_removal_n0 where c_nation IN ('USA', 'INDIA') group by c_custkey;
CBO PLAN:HiveProject(c_custkey=[$0])
- HiveFilter(condition=[IN($4, _UTF-16LE'INDIA':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'USA':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")])
+ HiveFilter(condition=[IN($4, 'INDIA':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'USA':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")])
HiveTableScan(table=[[default, customer_removal_n0]], table:alias=[customer_removal_n0])
PLAN VECTORIZATION:
@@ -187,7 +187,7 @@ EXPLAIN CBO SELECT c_custkey from customer_removal_n0 where c_nation IN ('USA',
EXPLAIN VECTORIZED SELECT c_custkey from customer_removal_n0 where c_nation IN ('USA', 'INDIA') group by c_custkey, c_nation;
CBO PLAN:HiveProject(c_custkey=[$0])
- HiveFilter(condition=[IN($4, _UTF-16LE'INDIA':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'USA':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")])
+ HiveFilter(condition=[IN($4, 'INDIA':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'USA':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")])
HiveTableScan(table=[[default, customer_removal_n0]], table:alias=[customer_removal_n0])
PLAN VECTORIZATION:
@@ -1349,7 +1349,7 @@ EXPLAIN VECTORIZED SELECT count(c_custkey) from customer_removal_n0 where c_nati
group by c_custkey, c_nation;
CBO PLAN:HiveProject(_c0=[$1])
HiveAggregate(group=[{0}], agg#0=[count()])
- HiveFilter(condition=[IN($4, _UTF-16LE'INDIA':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'USA':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")])
+ HiveFilter(condition=[IN($4, 'INDIA':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'USA':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")])
HiveTableScan(table=[[default, customer_removal_n0]], table:alias=[customer_removal_n0])
PLAN VECTORIZATION:
@@ -1581,7 +1581,7 @@ EXPLAIN CBO select key1 from dest_g21 where value1 > 1 group by key1, value1;
EXPLAIN VECTORIZED select key1 from dest_g21 where value1 > 1 group by key1, value1;
CBO PLAN:HiveProject(key1=[$0])
- HiveFilter(condition=[>($1, 1E0)])
+ HiveFilter(condition=[>($1, 1.0E0)])
HiveTableScan(table=[[default, dest_g21]], table:alias=[dest_g21])
PLAN VECTORIZATION:
@@ -1841,7 +1841,7 @@ EXPLAIN CBO select count(key1) from dest_g21 where value1 > 1 group by key1, val
EXPLAIN VECTORIZED select count(key1) from dest_g21 where value1 > 1 group by key1, value1;
CBO PLAN:HiveProject(_c0=[$1])
HiveAggregate(group=[{0}], agg#0=[count()])
- HiveFilter(condition=[>($1, 1E0)])
+ HiveFilter(condition=[>($1, 1.0E0)])
HiveTableScan(table=[[default, dest_g21]], table:alias=[dest_g21])
PLAN VECTORIZATION:
@@ -1978,7 +1978,7 @@ CBO PLAN:HiveProject(t1.key1=[$0])
HiveProject(key1=[$0], value1=[$1])
HiveTableScan(table=[[default, dest_g21]], table:alias=[t1])
HiveProject(key1=[$0])
- HiveFilter(condition=[>($1, 2E0)])
+ HiveFilter(condition=[>($1, 2.0E0)])
HiveTableScan(table=[[default, dest_g21]], table:alias=[t2])
PLAN VECTORIZATION:
@@ -2126,7 +2126,7 @@ CBO PLAN:HiveProject(_c0=[$1])
HiveProject(key1=[$0], value1=[$1])
HiveTableScan(table=[[default, dest_g21]], table:alias=[t1])
HiveProject(key1=[$0])
- HiveFilter(condition=[>($1, 2E0)])
+ HiveFilter(condition=[>($1, 2.0E0)])
HiveTableScan(table=[[default, dest_g21]], table:alias=[t2])
PLAN VECTORIZATION:
diff --git a/ql/src/test/results/clientpositive/llap/correlationoptimizer8.q.out b/ql/src/test/results/clientpositive/llap/correlationoptimizer8.q.out
index 19af2ee56349..f0c3769e5a34 100644
--- a/ql/src/test/results/clientpositive/llap/correlationoptimizer8.q.out
+++ b/ql/src/test/results/clientpositive/llap/correlationoptimizer8.q.out
@@ -82,10 +82,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: x
- filterExpr: (((UDFToDouble(key) < 20.0D) or (UDFToDouble(key) > 100.0D)) and key is not null) (type: boolean)
+ filterExpr: ((UDFToDouble(key) < 20.0D) or (UDFToDouble(key) > 100.0D)) (type: boolean)
Statistics: Num rows: 25 Data size: 4375 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (((UDFToDouble(key) < 20.0D) or (UDFToDouble(key) > 100.0D)) and key is not null) (type: boolean)
+ predicate: ((UDFToDouble(key) < 20.0D) or (UDFToDouble(key) > 100.0D)) (type: boolean)
Statistics: Num rows: 16 Data size: 2800 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: string), value (type: string)
@@ -282,10 +282,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: x
- filterExpr: (((UDFToDouble(key) < 20.0D) or (UDFToDouble(key) > 100.0D)) and key is not null) (type: boolean)
+ filterExpr: ((UDFToDouble(key) < 20.0D) or (UDFToDouble(key) > 100.0D)) (type: boolean)
Statistics: Num rows: 25 Data size: 4375 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (((UDFToDouble(key) < 20.0D) or (UDFToDouble(key) > 100.0D)) and key is not null) (type: boolean)
+ predicate: ((UDFToDouble(key) < 20.0D) or (UDFToDouble(key) > 100.0D)) (type: boolean)
Statistics: Num rows: 16 Data size: 2800 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: string), value (type: string)
@@ -922,10 +922,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: x
- filterExpr: (((UDFToDouble(key) < 20.0D) or (UDFToDouble(key) > 100.0D)) and key is not null) (type: boolean)
+ filterExpr: ((UDFToDouble(key) < 20.0D) or (UDFToDouble(key) > 100.0D)) (type: boolean)
Statistics: Num rows: 25 Data size: 4375 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (((UDFToDouble(key) < 20.0D) or (UDFToDouble(key) > 100.0D)) and key is not null) (type: boolean)
+ predicate: ((UDFToDouble(key) < 20.0D) or (UDFToDouble(key) > 100.0D)) (type: boolean)
Statistics: Num rows: 16 Data size: 2800 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: string), value (type: string)
diff --git a/ql/src/test/results/clientpositive/llap/cte_cbo_rewrite_0.q.out b/ql/src/test/results/clientpositive/llap/cte_cbo_rewrite_0.q.out
index a3bf50d1cde9..749e573b0368 100644
--- a/ql/src/test/results/clientpositive/llap/cte_cbo_rewrite_0.q.out
+++ b/ql/src/test/results/clientpositive/llap/cte_cbo_rewrite_0.q.out
@@ -333,7 +333,7 @@ HiveProject(name=[$0], _c1=[$1])
HiveAggregate(group=[{0, 1}])
HiveProject(name=[$0], _o__c1=[$1])
HiveUnion(all=[true])
- HiveProject(name=[$0], _o__c1=[_UTF-16LE'HIGH':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
+ HiveProject(name=[$0], _o__c1=['HIGH':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
HiveFilter(condition=[>=(CAST(/($1, $2)):DECIMAL(12, 6), 100000:DECIMAL(6, 0))])
HiveAggregate(group=[{3}], agg#0=[sum($1)], agg#1=[count($1)])
HiveJoin(condition=[=($0, $2)], joinType=[inner], algorithm=[none], cost=[not available])
@@ -343,7 +343,7 @@ HiveProject(name=[$0], _c1=[$1])
HiveProject(deptno=[$0], name=[$1])
HiveFilter(condition=[IS NOT NULL($0)])
HiveTableScan(table=[[default, depts]], table:alias=[d])
- HiveProject(name=[$0], _o__c1=[_UTF-16LE'LOW':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
+ HiveProject(name=[$0], _o__c1=['LOW':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
HiveFilter(condition=[<(CAST(/($1, $2)):DECIMAL(12, 6), 100000:DECIMAL(6, 0))])
HiveAggregate(group=[{3}], agg#0=[sum($1)], agg#1=[count($1)])
HiveJoin(condition=[=($0, $2)], joinType=[inner], algorithm=[none], cost=[not available])
@@ -665,7 +665,7 @@ HiveProject(name=[$0], _c1=[$1])
HiveAggregate(group=[{0, 1}])
HiveProject(name=[$0], _o__c1=[$1])
HiveUnion(all=[true])
- HiveProject(name=[$0], _o__c1=[_UTF-16LE'HIGH':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
+ HiveProject(name=[$0], _o__c1=['HIGH':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
HiveFilter(condition=[>=(CAST(/($1, $2)):DECIMAL(12, 6), 100000:DECIMAL(6, 0))])
HiveTableSpool(table=[[cte, cte_suggestion_0]])
HiveProject(name=[$0], $f1=[$1], $f2=[$2])
@@ -677,7 +677,7 @@ HiveProject(name=[$0], _c1=[$1])
HiveProject(deptno=[$0], name=[$1])
HiveFilter(condition=[IS NOT NULL($0)])
HiveTableScan(table=[[default, depts]], table:alias=[d])
- HiveProject(name=[$0], _o__c1=[_UTF-16LE'LOW':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
+ HiveProject(name=[$0], _o__c1=['LOW':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
HiveFilter(condition=[<(CAST(/($1, $2)):DECIMAL(12, 6), 100000:DECIMAL(6, 0))])
HiveTableScan(table=[[cte, cte_suggestion_0]], table:alias=[cte_suggestion_0])
@@ -720,7 +720,7 @@ POSTHOOK: Input: default@emps
CBO PLAN:
HiveProject(summary.name=[$0], summary.salary_range=[$1])
HiveAggregate(group=[{0, 1}])
- HiveProject(name=[$0], salary_range=[_UTF-16LE'HIGH':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
+ HiveProject(name=[$0], salary_range=['HIGH':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
HiveFilter(condition=[>=(CAST(/($1, $2)):DECIMAL(12, 6), 100000:DECIMAL(6, 0))])
HiveAggregate(group=[{3}], agg#0=[sum($1)], agg#1=[count($1)])
HiveJoin(condition=[=($0, $2)], joinType=[inner], algorithm=[none], cost=[not available])
@@ -806,7 +806,7 @@ POSTHOOK: Input: default@emps
CBO PLAN:
HiveProject(summary.name=[$0], summary.salary_range=[$1])
HiveAggregate(group=[{0, 1}])
- HiveProject(name=[$0], salary_range=[_UTF-16LE'LOW':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
+ HiveProject(name=[$0], salary_range=['LOW':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
HiveFilter(condition=[<(CAST(/($1, $2)):DECIMAL(12, 6), 100000:DECIMAL(6, 0))])
HiveAggregate(group=[{3}], agg#0=[sum($1)], agg#1=[count($1)])
HiveJoin(condition=[=($0, $2)], joinType=[inner], algorithm=[none], cost=[not available])
diff --git a/ql/src/test/results/clientpositive/llap/cte_join.q.out b/ql/src/test/results/clientpositive/llap/cte_join.q.out
index 5087ac897668..0373a9d976a7 100644
--- a/ql/src/test/results/clientpositive/llap/cte_join.q.out
+++ b/ql/src/test/results/clientpositive/llap/cte_join.q.out
@@ -134,7 +134,7 @@ CBO PLAN:
HiveProject(s.a=[$0], t1.a=[$1], t1.b=[$2])
HiveJoin(condition=[=($0, $1)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(a=[$0])
- HiveFilter(condition=[AND(=($1, _UTF-16LE'c'), IS NOT NULL($0))])
+ HiveFilter(condition=[AND(=($1, 'c'), IS NOT NULL($0))])
HiveTableScan(table=[[default, t1]], table:alias=[t1])
HiveProject(a=[$0], b=[$1])
HiveFilter(condition=[IS NOT NULL($0)])
diff --git a/ql/src/test/results/clientpositive/llap/cte_mat_12.q.out b/ql/src/test/results/clientpositive/llap/cte_mat_12.q.out
index e72b749978ea..c4b6ff9a3e78 100644
--- a/ql/src/test/results/clientpositive/llap/cte_mat_12.q.out
+++ b/ql/src/test/results/clientpositive/llap/cte_mat_12.q.out
@@ -66,10 +66,10 @@ HiveProject(_c0=[$0], _c1=[$1])
HiveAggregate(group=[{0, 1}])
HiveProject(_o__c0=[$0], _o__c1=[$1])
HiveUnion(all=[true])
- HiveProject(_o__c0=[$1], _o__c1=[_UTF-16LE'A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
+ HiveProject(_o__c0=[$1], _o__c1=['A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
HiveAggregate(group=[{1}], agg#0=[count()])
HiveTableScan(table=[[default, emps]], table:alias=[e])
- HiveProject(_o__c0=[$1], _o__c1=[_UTF-16LE'B':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
+ HiveProject(_o__c0=[$1], _o__c1=['B':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
HiveAggregate(group=[{1}], agg#0=[count()])
HiveTableScan(table=[[default, emps]], table:alias=[e])
@@ -149,12 +149,12 @@ HiveProject(_c0=[$0], _c1=[$1])
HiveAggregate(group=[{0, 1}])
HiveProject(_o__c0=[$0], _o__c1=[$1])
HiveUnion(all=[true])
- HiveProject(_o__c0=[$1], _o__c1=[_UTF-16LE'A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
+ HiveProject(_o__c0=[$1], _o__c1=['A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
HiveTableSpool(table=[[cte, cte_suggestion_0]])
HiveProject(deptno=[$0], $f1=[$1])
HiveAggregate(group=[{1}], agg#0=[count()])
HiveTableScan(table=[[default, emps]], table:alias=[e])
- HiveProject(_o__c0=[$1], _o__c1=[_UTF-16LE'B':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
+ HiveProject(_o__c0=[$1], _o__c1=['B':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
HiveTableScan(table=[[cte, cte_suggestion_0]], table:alias=[cte_suggestion_0])
PREHOOK: query: EXPLAIN CBO
diff --git a/ql/src/test/results/clientpositive/llap/cte_mat_5.q.out b/ql/src/test/results/clientpositive/llap/cte_mat_5.q.out
index c5f5810ec36e..59d2e04afb5a 100644
--- a/ql/src/test/results/clientpositive/llap/cte_mat_5.q.out
+++ b/ql/src/test/results/clientpositive/llap/cte_mat_5.q.out
@@ -78,7 +78,7 @@ Stage-3
Select Operator [SEL_35] (rows=1 width=12)
Output:["_col0","_col1"]
Filter Operator [FIL_34] (rows=1 width=4)
- predicate:UDFToDouble(colnum) is not null
+ predicate:colnum is not null
TableScan [TS_8] (rows=1 width=4)
mydb@q1,a,Tbl:COMPLETE,Col:COMPLETE,Output:["colnum"]
<-Map 4 [SIMPLE_EDGE] vectorized, llap
diff --git a/ql/src/test/results/clientpositive/llap/cte_mat_6.q.out b/ql/src/test/results/clientpositive/llap/cte_mat_6.q.out
index ab3bd99ee299..470df6d9a3f9 100644
--- a/ql/src/test/results/clientpositive/llap/cte_mat_6.q.out
+++ b/ql/src/test/results/clientpositive/llap/cte_mat_6.q.out
@@ -528,10 +528,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: t0
- filterExpr: UDFToLong(col0) is not null (type: boolean)
+ filterExpr: col0 is not null (type: boolean)
Statistics: Num rows: 7 Data size: 28 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: UDFToLong(col0) is not null (type: boolean)
+ predicate: col0 is not null (type: boolean)
Statistics: Num rows: 7 Data size: 28 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: col0 (type: int), UDFToLong(col0) (type: bigint)
diff --git a/ql/src/test/results/clientpositive/llap/cte_mat_type.q.out b/ql/src/test/results/clientpositive/llap/cte_mat_type.q.out
index 2ffb09e431fc..0bf4bea932bb 100644
--- a/ql/src/test/results/clientpositive/llap/cte_mat_type.q.out
+++ b/ql/src/test/results/clientpositive/llap/cte_mat_type.q.out
@@ -73,10 +73,10 @@ HiveProject(d_name=[$0], _c1=[$1])
HiveAggregate(group=[{0, 1}])
HiveProject(d_name=[$0], _o__c1=[$1])
HiveUnion(all=[true])
- HiveProject(d_name=[$0], _o__c1=[_UTF-16LE'HIGH':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
+ HiveProject(d_name=[$0], _o__c1=['HIGH':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
HiveFilter(condition=[>=($1, 100000:DECIMAL(6, 0))])
HiveTableScan(table=[[default, dept_avg]], table:alias=[da])
- HiveProject(d_name=[$0], _o__c1=[_UTF-16LE'LOW':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
+ HiveProject(d_name=[$0], _o__c1=['LOW':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
HiveFilter(condition=[<($1, 100000:DECIMAL(6, 0))])
HiveTableScan(table=[[default, dept_avg]], table:alias=[da])
@@ -123,7 +123,7 @@ HiveProject(d_name=[$0], _c1=[$1])
HiveAggregate(group=[{0, 1}])
HiveProject(d_name=[$0], _o__c1=[$1])
HiveUnion(all=[true])
- HiveProject(d_name=[$0], _o__c1=[_UTF-16LE'HIGH':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
+ HiveProject(d_name=[$0], _o__c1=['HIGH':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
HiveFilter(condition=[>=(CAST(/($1, $2)):DECIMAL(12, 6), 100000:DECIMAL(6, 0))])
HiveTableSpool(table=[[cte, cte_suggestion_0]])
HiveProject(name=[$0], $f1=[$1], $f2=[$2])
@@ -135,7 +135,7 @@ HiveProject(d_name=[$0], _c1=[$1])
HiveProject(deptno=[$0], name=[$1])
HiveFilter(condition=[IS NOT NULL($0)])
HiveTableScan(table=[[default, depts]], table:alias=[d])
- HiveProject(d_name=[$0], _o__c1=[_UTF-16LE'LOW':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
+ HiveProject(d_name=[$0], _o__c1=['LOW':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
HiveFilter(condition=[<(CAST(/($1, $2)):DECIMAL(12, 6), 100000:DECIMAL(6, 0))])
HiveTableScan(table=[[cte, cte_suggestion_0]], table:alias=[cte_suggestion_0])
@@ -180,7 +180,7 @@ HiveProject(d_name=[$0], _c1=[$1])
HiveAggregate(group=[{0, 1}])
HiveProject(d_name=[$0], _o__c1=[$1])
HiveUnion(all=[true])
- HiveProject(d_name=[$0], _o__c1=[_UTF-16LE'HIGH':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
+ HiveProject(d_name=[$0], _o__c1=['HIGH':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
HiveFilter(condition=[>=(CAST(/($1, $2)):DECIMAL(12, 6), 100000:DECIMAL(6, 0))])
HiveAggregate(group=[{3}], agg#0=[sum($1)], agg#1=[count($1)])
HiveJoin(condition=[=($0, $2)], joinType=[inner], algorithm=[none], cost=[not available])
@@ -190,7 +190,7 @@ HiveProject(d_name=[$0], _c1=[$1])
HiveProject(deptno=[$0], name=[$1])
HiveFilter(condition=[IS NOT NULL($0)])
HiveTableScan(table=[[default, depts]], table:alias=[d])
- HiveProject(d_name=[$0], _o__c1=[_UTF-16LE'LOW':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
+ HiveProject(d_name=[$0], _o__c1=['LOW':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
HiveFilter(condition=[<(CAST(/($1, $2)):DECIMAL(12, 6), 100000:DECIMAL(6, 0))])
HiveAggregate(group=[{3}], agg#0=[sum($1)], agg#1=[count($1)])
HiveJoin(condition=[=($0, $2)], joinType=[inner], algorithm=[none], cost=[not available])
diff --git a/ql/src/test/results/clientpositive/llap/decimal_udf.q.out b/ql/src/test/results/clientpositive/llap/decimal_udf.q.out
index dc12dec7b293..1247599c20e7 100644
--- a/ql/src/test/results/clientpositive/llap/decimal_udf.q.out
+++ b/ql/src/test/results/clientpositive/llap/decimal_udf.q.out
@@ -966,7 +966,7 @@ STAGE PLANS:
Limit
Number of rows: 1
Select Operator
- expressions: null (type: double)
+ expressions: (UDFToDouble(key) / null) (type: double)
outputColumnNames: _col0
ListSink
diff --git a/ql/src/test/results/clientpositive/llap/distribution_key_constant_value.q.out b/ql/src/test/results/clientpositive/llap/distribution_key_constant_value.q.out
index 3c078bedea21..c001a812d19b 100644
--- a/ql/src/test/results/clientpositive/llap/distribution_key_constant_value.q.out
+++ b/ql/src/test/results/clientpositive/llap/distribution_key_constant_value.q.out
@@ -22,7 +22,7 @@ POSTHOOK: Input: default@test
#### A masked pattern was here ####
CBO PLAN:
HiveSortExchange(distribution=[hash[0]], collation=[[]])
- HiveProject(col1=[$0], col2=[CAST(_UTF-16LE'a':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
- HiveFilter(condition=[=($1, _UTF-16LE'a')])
+ HiveProject(col1=[$0], col2=[CAST('a':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
+ HiveFilter(condition=[=($1, 'a')])
HiveTableScan(table=[[default, test]], table:alias=[test])
diff --git a/ql/src/test/results/clientpositive/llap/dynamic_partition_pruning.q.out b/ql/src/test/results/clientpositive/llap/dynamic_partition_pruning.q.out
index f341b49a9e4c..924f7c6e95b2 100644
--- a/ql/src/test/results/clientpositive/llap/dynamic_partition_pruning.q.out
+++ b/ql/src/test/results/clientpositive/llap/dynamic_partition_pruning.q.out
@@ -581,10 +581,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: srcpart
- filterExpr: CAST( ds AS DATE) is not null (type: boolean)
+ filterExpr: day(CAST( ds AS DATE)) is not null (type: boolean)
Statistics: Num rows: 2000 Data size: 389248 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: CAST( ds AS DATE) is not null (type: boolean)
+ predicate: day(CAST( ds AS DATE)) is not null (type: boolean)
Statistics: Num rows: 2000 Data size: 368000 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: day(CAST( ds AS DATE)) (type: int)
@@ -602,10 +602,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: srcpart_date_n2
- filterExpr: ((date = '2008-04-08') and CAST( ds AS DATE) is not null) (type: boolean)
+ filterExpr: ((date = '2008-04-08') and day(CAST( ds AS DATE)) is not null) (type: boolean)
Statistics: Num rows: 2 Data size: 376 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((date = '2008-04-08') and CAST( ds AS DATE) is not null) (type: boolean)
+ predicate: ((date = '2008-04-08') and day(CAST( ds AS DATE)) is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 188 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: day(CAST( ds AS DATE)) (type: int)
@@ -732,10 +732,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: srcpart
- filterExpr: CAST( ds AS DATE) is not null (type: boolean)
+ filterExpr: day(CAST( ds AS DATE)) is not null (type: boolean)
Statistics: Num rows: 2000 Data size: 389248 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: CAST( ds AS DATE) is not null (type: boolean)
+ predicate: day(CAST( ds AS DATE)) is not null (type: boolean)
Statistics: Num rows: 2000 Data size: 368000 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: day(CAST( ds AS DATE)) (type: int)
@@ -753,10 +753,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: srcpart_date_n2
- filterExpr: ((date = '2008-04-08') and CAST( ds AS DATE) is not null) (type: boolean)
+ filterExpr: ((date = '2008-04-08') and day(CAST( ds AS DATE)) is not null) (type: boolean)
Statistics: Num rows: 2 Data size: 376 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((date = '2008-04-08') and CAST( ds AS DATE) is not null) (type: boolean)
+ predicate: ((date = '2008-04-08') and day(CAST( ds AS DATE)) is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 188 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: day(CAST( ds AS DATE)) (type: int)
@@ -1885,37 +1885,40 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: srcpart_double_hour_n0
- filterExpr: ((UDFToDouble(hour) = 11.0D) and UDFToDouble(UDFToInteger((hr / 2.0D))) is not null) (type: boolean)
+ filterExpr: ((UDFToDouble(hour) = 11.0D) and hr is not null) (type: boolean)
Statistics: Num rows: 2 Data size: 188 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((UDFToDouble(hour) = 11.0D) and UDFToDouble(UDFToInteger((hr / 2.0D))) is not null) (type: boolean)
+ predicate: ((UDFToDouble(hour) = 11.0D) and hr is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 94 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: UDFToDouble(UDFToInteger((hr / 2.0D))) (type: double)
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
- Reduce Output Operator
- key expressions: _col0 (type: double)
- null sort order: z
- sort order: +
- Map-reduce partition columns: _col0 (type: double)
+ Filter Operator
+ predicate: _col0 is not null (type: boolean)
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
- Select Operator
- expressions: _col0 (type: double)
- outputColumnNames: _col0
- Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
- Group By Operator
- keys: _col0 (type: double)
- minReductionHashAggr: 0.4
- mode: hash
+ Reduce Output Operator
+ key expressions: _col0 (type: double)
+ null sort order: z
+ sort order: +
+ Map-reduce partition columns: _col0 (type: double)
+ Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
+ Select Operator
+ expressions: _col0 (type: double)
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
- Dynamic Partitioning Event Operator
- Target column: hr (string)
- Target Input: srcpart
- Partition key expr: UDFToDouble(hr)
+ Group By Operator
+ keys: _col0 (type: double)
+ minReductionHashAggr: 0.4
+ mode: hash
+ outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
- Target Vertex: Map 1
+ Dynamic Partitioning Event Operator
+ Target column: hr (string)
+ Target Input: srcpart
+ Partition key expr: UDFToDouble(hr)
+ Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
+ Target Vertex: Map 1
Execution mode: llap
LLAP IO: all inputs
Reducer 2
@@ -2015,10 +2018,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: srcpart
- filterExpr: UDFToDouble(hr) is not null (type: boolean)
+ filterExpr: (UDFToDouble(hr) * 2.0D) is not null (type: boolean)
Statistics: Num rows: 2000 Data size: 389248 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: UDFToDouble(hr) is not null (type: boolean)
+ predicate: (UDFToDouble(hr) * 2.0D) is not null (type: boolean)
Statistics: Num rows: 2000 Data size: 368000 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: (UDFToDouble(hr) * 2.0D) (type: double)
@@ -2187,21 +2190,24 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: srcpart_double_hour_n0
- filterExpr: ((UDFToDouble(hour) = 11.0D) and UDFToDouble(UDFToInteger((hr / 2.0D))) is not null) (type: boolean)
+ filterExpr: ((UDFToDouble(hour) = 11.0D) and hr is not null) (type: boolean)
Statistics: Num rows: 2 Data size: 188 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((UDFToDouble(hour) = 11.0D) and UDFToDouble(UDFToInteger((hr / 2.0D))) is not null) (type: boolean)
+ predicate: ((UDFToDouble(hour) = 11.0D) and hr is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 94 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: UDFToDouble(UDFToInteger((hr / 2.0D))) (type: double)
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
- Reduce Output Operator
- key expressions: _col0 (type: double)
- null sort order: z
- sort order: +
- Map-reduce partition columns: _col0 (type: double)
+ Filter Operator
+ predicate: _col0 is not null (type: boolean)
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
+ Reduce Output Operator
+ key expressions: _col0 (type: double)
+ null sort order: z
+ sort order: +
+ Map-reduce partition columns: _col0 (type: double)
+ Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
Execution mode: llap
LLAP IO: all inputs
Reducer 2
@@ -2301,10 +2307,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: srcpart
- filterExpr: UDFToDouble(hr) is not null (type: boolean)
+ filterExpr: (UDFToDouble(hr) * 2.0D) is not null (type: boolean)
Statistics: Num rows: 2000 Data size: 389248 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: UDFToDouble(hr) is not null (type: boolean)
+ predicate: (UDFToDouble(hr) * 2.0D) is not null (type: boolean)
Statistics: Num rows: 2000 Data size: 368000 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: (UDFToDouble(hr) * 2.0D) (type: double)
@@ -2449,10 +2455,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: srcpart
- filterExpr: CAST( (UDFToDouble(hr) * 2.0D) AS STRING) is not null (type: boolean)
+ filterExpr: (UDFToDouble(hr) * 2.0D) is not null (type: boolean)
Statistics: Num rows: 2000 Data size: 389248 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: CAST( (UDFToDouble(hr) * 2.0D) AS STRING) is not null (type: boolean)
+ predicate: (UDFToDouble(hr) * 2.0D) is not null (type: boolean)
Statistics: Num rows: 2000 Data size: 368000 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: CAST( (UDFToDouble(hr) * 2.0D) AS STRING) (type: string)
@@ -2470,10 +2476,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: srcpart_double_hour_n0
- filterExpr: ((UDFToDouble(hour) = 11.0D) and CAST( hr AS STRING) is not null) (type: boolean)
+ filterExpr: ((UDFToDouble(hour) = 11.0D) and hr is not null) (type: boolean)
Statistics: Num rows: 2 Data size: 188 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((UDFToDouble(hour) = 11.0D) and CAST( hr AS STRING) is not null) (type: boolean)
+ predicate: ((UDFToDouble(hour) = 11.0D) and hr is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 94 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: CAST( hr AS STRING) (type: string)
@@ -4652,10 +4658,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: srcpart
- filterExpr: CAST( ds AS DATE) is not null (type: boolean)
+ filterExpr: day(CAST( ds AS DATE)) is not null (type: boolean)
Statistics: Num rows: 2000 Data size: 389248 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: CAST( ds AS DATE) is not null (type: boolean)
+ predicate: day(CAST( ds AS DATE)) is not null (type: boolean)
Statistics: Num rows: 2000 Data size: 368000 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: day(CAST( ds AS DATE)) (type: int)
@@ -4687,10 +4693,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: srcpart_date_n2
- filterExpr: ((date = '2008-04-08') and CAST( ds AS DATE) is not null) (type: boolean)
+ filterExpr: ((date = '2008-04-08') and day(CAST( ds AS DATE)) is not null) (type: boolean)
Statistics: Num rows: 2 Data size: 376 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((date = '2008-04-08') and CAST( ds AS DATE) is not null) (type: boolean)
+ predicate: ((date = '2008-04-08') and day(CAST( ds AS DATE)) is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 188 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: day(CAST( ds AS DATE)) (type: int)
@@ -5345,37 +5351,40 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: srcpart_double_hour_n0
- filterExpr: ((UDFToDouble(hour) = 11.0D) and UDFToDouble(UDFToInteger((hr / 2.0D))) is not null) (type: boolean)
+ filterExpr: ((UDFToDouble(hour) = 11.0D) and hr is not null) (type: boolean)
Statistics: Num rows: 2 Data size: 188 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((UDFToDouble(hour) = 11.0D) and UDFToDouble(UDFToInteger((hr / 2.0D))) is not null) (type: boolean)
+ predicate: ((UDFToDouble(hour) = 11.0D) and hr is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 94 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: UDFToDouble(UDFToInteger((hr / 2.0D))) (type: double)
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
- Reduce Output Operator
- key expressions: _col0 (type: double)
- null sort order: z
- sort order: +
- Map-reduce partition columns: _col0 (type: double)
+ Filter Operator
+ predicate: _col0 is not null (type: boolean)
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
- Select Operator
- expressions: _col0 (type: double)
- outputColumnNames: _col0
- Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
- Group By Operator
- keys: _col0 (type: double)
- minReductionHashAggr: 0.4
- mode: hash
+ Reduce Output Operator
+ key expressions: _col0 (type: double)
+ null sort order: z
+ sort order: +
+ Map-reduce partition columns: _col0 (type: double)
+ Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
+ Select Operator
+ expressions: _col0 (type: double)
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
- Dynamic Partitioning Event Operator
- Target column: hr (string)
- Target Input: srcpart
- Partition key expr: UDFToDouble(hr)
+ Group By Operator
+ keys: _col0 (type: double)
+ minReductionHashAggr: 0.4
+ mode: hash
+ outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
- Target Vertex: Map 1
+ Dynamic Partitioning Event Operator
+ Target column: hr (string)
+ Target Input: srcpart
+ Partition key expr: UDFToDouble(hr)
+ Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
+ Target Vertex: Map 1
Execution mode: llap
LLAP IO: all inputs
Reducer 2
@@ -5454,10 +5463,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: srcpart
- filterExpr: UDFToDouble(hr) is not null (type: boolean)
+ filterExpr: (UDFToDouble(hr) * 2.0D) is not null (type: boolean)
Statistics: Num rows: 2000 Data size: 389248 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: UDFToDouble(hr) is not null (type: boolean)
+ predicate: (UDFToDouble(hr) * 2.0D) is not null (type: boolean)
Statistics: Num rows: 2000 Data size: 368000 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: (UDFToDouble(hr) * 2.0D) (type: double)
@@ -6675,35 +6684,31 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: srcpart_orc
- filterExpr: UDFToDouble(hr) is not null (type: boolean)
Statistics: Num rows: 2000 Data size: 564000 Basic stats: COMPLETE Column stats: COMPLETE
- Filter Operator
- predicate: UDFToDouble(hr) is not null (type: boolean)
- Statistics: Num rows: 2000 Data size: 376000 Basic stats: COMPLETE Column stats: COMPLETE
- Select Operator
- expressions: ds (type: string), UDFToDouble(hr) (type: double)
- outputColumnNames: _col0, _col1
- Statistics: Num rows: 2000 Data size: 384000 Basic stats: COMPLETE Column stats: COMPLETE
- Map Join Operator
- condition map:
- Inner Join 0 to 1
- keys:
- 0 _col0 (type: string), _col1 (type: double)
- 1 _col0 (type: string), _col1 (type: double)
- input vertices:
- 1 Map 3
- Statistics: Num rows: 2000 Data size: 16000 Basic stats: COMPLETE Column stats: COMPLETE
- Group By Operator
- aggregations: count()
- minReductionHashAggr: 0.99
- mode: hash
- outputColumnNames: _col0
+ Select Operator
+ expressions: ds (type: string), UDFToDouble(hr) (type: double)
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 2000 Data size: 384000 Basic stats: COMPLETE Column stats: COMPLETE
+ Map Join Operator
+ condition map:
+ Inner Join 0 to 1
+ keys:
+ 0 _col0 (type: string), _col1 (type: double)
+ 1 _col0 (type: string), _col1 (type: double)
+ input vertices:
+ 1 Map 3
+ Statistics: Num rows: 2000 Data size: 16000 Basic stats: COMPLETE Column stats: COMPLETE
+ Group By Operator
+ aggregations: count()
+ minReductionHashAggr: 0.99
+ mode: hash
+ outputColumnNames: _col0
+ Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
+ Reduce Output Operator
+ null sort order:
+ sort order:
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
- Reduce Output Operator
- null sort order:
- sort order:
- Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
- value expressions: _col0 (type: bigint)
+ value expressions: _col0 (type: bigint)
Execution mode: llap
LLAP IO: all inputs
Map 3
diff --git a/ql/src/test/results/clientpositive/llap/dynamic_semijoin_reduction_2.q.out b/ql/src/test/results/clientpositive/llap/dynamic_semijoin_reduction_2.q.out
index 42e695b3321d..81cc30a7b9d5 100644
--- a/ql/src/test/results/clientpositive/llap/dynamic_semijoin_reduction_2.q.out
+++ b/ql/src/test/results/clientpositive/llap/dynamic_semijoin_reduction_2.q.out
@@ -152,10 +152,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: t2
- filterExpr: ((smallint_col_19 = -92S) and UDFToLong(tinyint_col_15) is not null and decimal2709_col_9 is not null and tinyint_col_20 is not null) (type: boolean)
+ filterExpr: ((smallint_col_19 = -92S) and tinyint_col_15 is not null and decimal2709_col_9 is not null and tinyint_col_20 is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 124 Basic stats: COMPLETE Column stats: NONE
Filter Operator
- predicate: ((smallint_col_19 = -92S) and UDFToLong(tinyint_col_15) is not null and decimal2709_col_9 is not null and tinyint_col_20 is not null) (type: boolean)
+ predicate: ((smallint_col_19 = -92S) and tinyint_col_15 is not null and decimal2709_col_9 is not null and tinyint_col_20 is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 124 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: tinyint_col_15 (type: tinyint), decimal2709_col_9 (type: decimal(27,9)), tinyint_col_20 (type: tinyint)
diff --git a/ql/src/test/results/clientpositive/llap/explainuser_1.q.out b/ql/src/test/results/clientpositive/llap/explainuser_1.q.out
index 7151b95c136f..fcde373c805c 100644
--- a/ql/src/test/results/clientpositive/llap/explainuser_1.q.out
+++ b/ql/src/test/results/clientpositive/llap/explainuser_1.q.out
@@ -2807,7 +2807,7 @@ Stage-0
Select Operator [SEL_10] (rows=1 width=12)
Output:["_col0","_col1"]
Filter Operator [FIL_9] (rows=1 width=16)
- predicate:(_col1 is not null and UDFToDouble(_col0) is not null)
+ predicate:(UDFToDouble(_col0) / _col1) is not null
Please refer to the previous Group By Operator [GBY_7]
PREHOOK: query: explain select b.p_mfgr, min(p_retailprice)
@@ -2893,7 +2893,7 @@ Stage-0
Select Operator [SEL_12] (rows=1 width=114)
Output:["_col0","_col1"]
Filter Operator [FIL_39] (rows=1 width=114)
- predicate:(((_col2 - _col1) > 600.0D) and _col1 is not null)
+ predicate:((_col2 - _col1) > 600.0D)
Group By Operator [GBY_10] (rows=5 width=114)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)"],keys:KEY._col0
<-Map 1 [SIMPLE_EDGE] llap
@@ -2908,7 +2908,7 @@ Stage-0
Select Operator [SEL_25] (rows=1 width=110)
Output:["_col0","_col1","_col2"]
Filter Operator [FIL_40] (rows=1 width=114)
- predicate:(((_col2 - _col1) > 600.0D) and _col1 is not null)
+ predicate:((_col2 - _col1) > 600.0D)
Group By Operator [GBY_23] (rows=5 width=114)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)"],keys:KEY._col0
<-Map 1 [SIMPLE_EDGE] llap
@@ -6562,7 +6562,7 @@ Stage-0
<-Select Operator [SEL_5] (rows=500 width=12)
Output:["_col0","_col1"]
Filter Operator [FIL_19] (rows=500 width=87)
- predicate:UDFToDouble(key) is not null
+ predicate:(UDFToDouble(key) + 1.0D) is not null
TableScan [TS_3] (rows=500 width=87)
default@src,c,Tbl:COMPLETE,Col:COMPLETE,Output:["key"]
@@ -6813,7 +6813,7 @@ Stage-0
Select Operator [SEL_4] (rows=1 width=184)
Output:["_col0","_col1"]
Filter Operator [FIL_17] (rows=1 width=184)
- predicate:UDFToDouble(key) is not null
+ predicate:(UDFToDouble(key) + 1.0D) is not null
TableScan [TS_2] (rows=1 width=184)
default@t2_n70,c,Tbl:COMPLETE,Col:NONE,Output:["key"]
<-Select Operator [SEL_1] (rows=1 width=368)
diff --git a/ql/src/test/results/clientpositive/llap/external_jdbc_join_mv.q.out b/ql/src/test/results/clientpositive/llap/external_jdbc_join_mv.q.out
index 871af16b4fef..ab29e56fe7a9 100644
--- a/ql/src/test/results/clientpositive/llap/external_jdbc_join_mv.q.out
+++ b/ql/src/test/results/clientpositive/llap/external_jdbc_join_mv.q.out
@@ -157,7 +157,7 @@ POSTHOOK: Input: default@mv1
POSTHOOK: Input: default@person
#### A masked pattern was here ####
CBO PLAN:
-HiveProject(person.id=[$0], person.name=[$1], person.jid=[$2], person.cid=[$3], job.id=[$4], job.title=[CAST(_UTF-16LE'Software Engineer':VARCHAR(20) CHARACTER SET "UTF-16LE"):VARCHAR(20) CHARACTER SET "UTF-16LE"], country.id=[$5], country.name=[$6])
+HiveProject(person.id=[$0], person.name=[$1], person.jid=[$2], person.cid=[$3], job.id=[$4], job.title=[CAST('Software Engineer':VARCHAR(20) CHARACTER SET "UTF-16LE"):VARCHAR(20) CHARACTER SET "UTF-16LE"], country.id=[$5], country.name=[$6])
HiveJoin(condition=[=($3, $5)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($2, $4)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(id=[$0], name=[$1], jid=[$2], cid=[$3])
diff --git a/ql/src/test/results/clientpositive/llap/external_jdbc_table2.q.out b/ql/src/test/results/clientpositive/llap/external_jdbc_table2.q.out
index 26efe619ef72..942595fbd25d 100644
--- a/ql/src/test/results/clientpositive/llap/external_jdbc_table2.q.out
+++ b/ql/src/test/results/clientpositive/llap/external_jdbc_table2.q.out
@@ -716,7 +716,7 @@ STAGE PLANS:
hive.sql.query SELECT "ikey"
FROM (SELECT "ikey", "bkey", "dkey"
FROM "EXTERNAL_JDBC_SIMPLE_DERBY2_TABLE1") AS "t"
-WHERE ("bkey" = 10 AND "dkey" = 15.15 OR "bkey" = 20 AND "dkey" = 25.25) AND "bkey" IN (10, 20) AND "dkey" IN (15.15, 25.25) AND "ikey" IS NOT NULL
+WHERE ("bkey" = 10 AND "dkey" = 1.515E1 OR "bkey" = 20 AND "dkey" = 2.525E1) AND "bkey" IN (10, 20) AND "dkey" IN (1.515E1, 2.525E1) AND "ikey" IS NOT NULL
hive.sql.query.fieldNames ikey
hive.sql.query.fieldTypes int
hive.sql.query.split true
diff --git a/ql/src/test/results/clientpositive/llap/external_jdbc_table_perf.q.out b/ql/src/test/results/clientpositive/llap/external_jdbc_table_perf.q.out
index a06b1eb40f82..639cb0cc6e31 100644
--- a/ql/src/test/results/clientpositive/llap/external_jdbc_table_perf.q.out
+++ b/ql/src/test/results/clientpositive/llap/external_jdbc_table_perf.q.out
@@ -1482,7 +1482,7 @@ STAGE PLANS:
properties:
hive.sql.query SELECT "t29"."w_warehouse_sk", "t29"."i_item_sk", CAST(1 AS INTEGER) AS "d_moy", "t29"."mean", "t29"."cov", "t29"."w_warehouse_sk0" AS "w_warehouse_sk1", "t29"."i_item_sk0" AS "i_item_sk1", CAST(2 AS INTEGER) AS "d_moy1", "t29"."mean0" AS "mean1", "t29"."cov0" AS "cov1"
FROM (SELECT "t13"."w_warehouse_sk", "t13"."i_item_sk", "t13"."mean", "t13"."cov", "t28"."w_warehouse_sk" AS "w_warehouse_sk0", "t28"."i_item_sk" AS "i_item_sk0", "t28"."mean" AS "mean0", "t28"."cov" AS "cov0"
-FROM (SELECT "w_warehouse_sk", "i_item_sk", CAST("$f3" AS DOUBLE) / "$f4" AS "mean", CASE WHEN CAST("$f3" AS DOUBLE) / "$f4" = 0 THEN NULL ELSE CAST("$f3" AS DOUBLE) / (CAST("$f3" AS DOUBLE) / "$f4") END AS "cov"
+FROM (SELECT "w_warehouse_sk", "i_item_sk", CAST("$f3" AS DOUBLE) / "$f4" AS "mean", CASE WHEN CAST("$f3" AS DOUBLE) / "$f4" = 0E0 THEN NULL ELSE CAST("$f3" AS DOUBLE) / (CAST("$f3" AS DOUBLE) / "$f4") END AS "cov"
FROM (SELECT "t9"."w_warehouse_name", "t9"."w_warehouse_sk", "t3"."i_item_sk", SUM("t0"."inv_quantity_on_hand") AS "$f3", COUNT("t0"."inv_quantity_on_hand") AS "$f4"
FROM (SELECT "inv_date_sk", "inv_item_sk", "inv_warehouse_sk", "inv_quantity_on_hand"
FROM "INVENTORY"
@@ -1500,8 +1500,8 @@ FROM (SELECT "w_warehouse_sk", "w_warehouse_name"
FROM "WAREHOUSE") AS "t7"
WHERE "w_warehouse_sk" IS NOT NULL) AS "t9" ON "t0"."inv_warehouse_sk" = "t9"."w_warehouse_sk"
GROUP BY "t3"."i_item_sk", "t9"."w_warehouse_sk", "t9"."w_warehouse_name") AS "t11"
-WHERE CASE WHEN CAST("t11"."$f3" AS DOUBLE) / "t11"."$f4" = 0 THEN FALSE ELSE CAST("t11"."$f3" AS DOUBLE) / (CAST("t11"."$f3" AS DOUBLE) / "t11"."$f4") > 1 END) AS "t13"
-INNER JOIN (SELECT "w_warehouse_sk", "i_item_sk", CAST("$f3" AS DOUBLE) / "$f4" AS "mean", CASE WHEN CAST("$f3" AS DOUBLE) / "$f4" = 0 THEN NULL ELSE CAST("$f3" AS DOUBLE) / (CAST("$f3" AS DOUBLE) / "$f4") END AS "cov"
+WHERE CASE WHEN CAST("t11"."$f3" AS DOUBLE) / "t11"."$f4" = 0E0 THEN FALSE ELSE CAST("t11"."$f3" AS DOUBLE) / (CAST("t11"."$f3" AS DOUBLE) / "t11"."$f4") > 1.0E0 END) AS "t13"
+INNER JOIN (SELECT "w_warehouse_sk", "i_item_sk", CAST("$f3" AS DOUBLE) / "$f4" AS "mean", CASE WHEN CAST("$f3" AS DOUBLE) / "$f4" = 0E0 THEN NULL ELSE CAST("$f3" AS DOUBLE) / (CAST("$f3" AS DOUBLE) / "$f4") END AS "cov"
FROM (SELECT "t24"."w_warehouse_name", "t24"."w_warehouse_sk", "t18"."i_item_sk", SUM("t15"."inv_quantity_on_hand") AS "$f3", COUNT("t15"."inv_quantity_on_hand") AS "$f4"
FROM (SELECT "inv_date_sk", "inv_item_sk", "inv_warehouse_sk", "inv_quantity_on_hand"
FROM "INVENTORY"
@@ -1519,7 +1519,7 @@ FROM (SELECT "w_warehouse_sk", "w_warehouse_name"
FROM "WAREHOUSE") AS "t22"
WHERE "w_warehouse_sk" IS NOT NULL) AS "t24" ON "t15"."inv_warehouse_sk" = "t24"."w_warehouse_sk"
GROUP BY "t18"."i_item_sk", "t24"."w_warehouse_sk", "t24"."w_warehouse_name") AS "t26"
-WHERE CASE WHEN CAST("t26"."$f3" AS DOUBLE) / "t26"."$f4" = 0 THEN FALSE ELSE CAST("t26"."$f3" AS DOUBLE) / (CAST("t26"."$f3" AS DOUBLE) / "t26"."$f4") > 1 END) AS "t28" ON "t13"."i_item_sk" = "t28"."i_item_sk" AND "t13"."w_warehouse_sk" = "t28"."w_warehouse_sk"
+WHERE CASE WHEN CAST("t26"."$f3" AS DOUBLE) / "t26"."$f4" = 0E0 THEN FALSE ELSE CAST("t26"."$f3" AS DOUBLE) / (CAST("t26"."$f3" AS DOUBLE) / "t26"."$f4") > 1.0E0 END) AS "t28" ON "t13"."i_item_sk" = "t28"."i_item_sk" AND "t13"."w_warehouse_sk" = "t28"."w_warehouse_sk"
ORDER BY "t13"."w_warehouse_sk", "t13"."i_item_sk", "t13"."mean", "t13"."cov", "t28"."mean", "t28"."cov") AS "t29"
hive.sql.query.fieldNames w_warehouse_sk,i_item_sk,d_moy,mean,cov,w_warehouse_sk1,i_item_sk1,d_moy1,mean1,cov1
hive.sql.query.fieldTypes int,int,int,double,double,int,int,int,double,double
@@ -3212,7 +3212,7 @@ WHERE "d_year" = 2000 AND "d_moy" = 1 AND "d_date_sk" IS NOT NULL) AS "t10" ON "
hive.sql.query SELECT "i_item_id"
FROM (SELECT "i_item_id", "i_color"
FROM "ITEM") AS "t"
-WHERE "i_color" IN ('chiffon', 'lace', 'orchid') AND "i_item_id" IS NOT NULL
+WHERE "i_color" IN ('chiffon ', 'lace ', 'orchid ') AND "i_item_id" IS NOT NULL
hive.sql.query.fieldNames i_item_id
hive.sql.query.fieldTypes char(16)
hive.sql.query.split true
@@ -6066,16 +6066,16 @@ INNER JOIN (SELECT "ca_address_sk", "ca_state" IN ('IN', 'NJ', 'OH') AS "EXPR$0"
FROM (SELECT "ca_address_sk", "ca_state", "ca_country"
FROM "CUSTOMER_ADDRESS") AS "t5"
WHERE "ca_state" IN ('AR', 'CT', 'IA', 'IN', 'KY', 'LA', 'NJ', 'OH', 'WI') AND "ca_country" = 'United States' AND "ca_address_sk" IS NOT NULL) AS "t7" ON "t1"."wr_refunded_addr_sk" = "t7"."ca_address_sk"
-INNER JOIN (SELECT "cd_demo_sk", "cd_marital_status", "cd_education_status", "cd_marital_status" = 'M' AS "EXPR$0", "cd_education_status" = 'Advanced Degree' AS "EXPR$1", "cd_marital_status" = 'S' AS "EXPR$2", "cd_education_status" = 'College' AS "EXPR$3", "cd_marital_status" = 'W' AS "EXPR$4", "cd_education_status" = '2 yr Degree' AS "EXPR$5"
+INNER JOIN (SELECT "cd_demo_sk", "cd_marital_status", "cd_education_status", "cd_marital_status" = 'M' AS "EXPR$0", "cd_education_status" = 'Advanced Degree ' AS "EXPR$1", "cd_marital_status" = 'S' AS "EXPR$2", "cd_education_status" = 'College ' AS "EXPR$3", "cd_marital_status" = 'W' AS "EXPR$4", "cd_education_status" = '2 yr Degree ' AS "EXPR$5"
FROM (SELECT "cd_demo_sk", "cd_marital_status", "cd_education_status"
FROM "CUSTOMER_DEMOGRAPHICS") AS "t8"
-WHERE "cd_marital_status" IN ('M', 'S', 'W') AND "cd_education_status" IN ('2 yr Degree', 'Advanced Degree', 'College') AND "cd_demo_sk" IS NOT NULL) AS "t10" ON "t1"."wr_refunded_cdemo_sk" = "t10"."cd_demo_sk"
+WHERE "cd_marital_status" IN ('M', 'S', 'W') AND "cd_education_status" IN ('2 yr Degree ', 'Advanced Degree ', 'College ') AND "cd_demo_sk" IS NOT NULL) AS "t10" ON "t1"."wr_refunded_cdemo_sk" = "t10"."cd_demo_sk"
INNER JOIN (SELECT "cd_demo_sk", "cd_marital_status", "cd_education_status"
FROM (SELECT "cd_demo_sk", "cd_marital_status", "cd_education_status"
FROM "CUSTOMER_DEMOGRAPHICS") AS "t11"
-WHERE "cd_marital_status" IN ('M', 'S', 'W') AND "cd_education_status" IN ('2 yr Degree', 'Advanced Degree', 'College') AND "cd_demo_sk" IS NOT NULL) AS "t13" ON "t1"."wr_returning_cdemo_sk" = "t13"."cd_demo_sk" AND "t10"."cd_marital_status" = "t13"."cd_marital_status" AND "t10"."cd_education_status" = "t13"."cd_education_status"
+WHERE "cd_marital_status" IN ('M', 'S', 'W') AND "cd_education_status" IN ('2 yr Degree ', 'Advanced Degree ', 'College ') AND "cd_demo_sk" IS NOT NULL) AS "t13" ON "t1"."wr_returning_cdemo_sk" = "t13"."cd_demo_sk" AND "t10"."cd_marital_status" = "t13"."cd_marital_status" AND "t10"."cd_education_status" = "t13"."cd_education_status"
INNER JOIN (SELECT "t16"."ws_sold_date_sk", "t16"."ws_item_sk", "t16"."ws_order_number", "t16"."ws_quantity", "t16"."EXPR$0", "t16"."EXPR$1", "t16"."EXPR$2", "t16"."EXPR$3", "t16"."EXPR$4", "t16"."EXPR$5", "t19"."d_date_sk"
-FROM (SELECT "ws_sold_date_sk", "ws_item_sk", "ws_order_number", "ws_quantity", "ws_net_profit" BETWEEN 100 AND 200 AS "EXPR$0", "ws_net_profit" BETWEEN 150 AND 300 AS "EXPR$1", "ws_net_profit" BETWEEN 50 AND 250 AS "EXPR$2", "ws_sales_price" BETWEEN 100 AND 150 AS "EXPR$3", "ws_sales_price" BETWEEN 50 AND 100 AS "EXPR$4", "ws_sales_price" BETWEEN 150 AND 200 AS "EXPR$5"
+FROM (SELECT "ws_sold_date_sk", "ws_item_sk", "ws_order_number", "ws_quantity", "ws_net_profit" BETWEEN 100.00 AND 200.00 AS "EXPR$0", "ws_net_profit" BETWEEN 150.00 AND 300.00 AS "EXPR$1", "ws_net_profit" BETWEEN 50.00 AND 250.00 AS "EXPR$2", "ws_sales_price" BETWEEN 100 AND 150 AS "EXPR$3", "ws_sales_price" BETWEEN 50 AND 100 AS "EXPR$4", "ws_sales_price" BETWEEN 150 AND 200 AS "EXPR$5"
FROM (SELECT "ws_sold_date_sk", "ws_item_sk", "ws_order_number", "ws_quantity", "ws_sales_price", "ws_net_profit"
FROM "WEB_SALES") AS "t14"
WHERE "ws_item_sk" IS NOT NULL AND "ws_order_number" IS NOT NULL AND "ws_sold_date_sk" IS NOT NULL AND "ws_sales_price" IS NOT NULL AND "ws_net_profit" IS NOT NULL) AS "t16"
diff --git a/ql/src/test/results/clientpositive/llap/filter_emptyliteral.q.out b/ql/src/test/results/clientpositive/llap/filter_emptyliteral.q.out
index c30b5e152eef..94c0f4226a35 100644
--- a/ql/src/test/results/clientpositive/llap/filter_emptyliteral.q.out
+++ b/ql/src/test/results/clientpositive/llap/filter_emptyliteral.q.out
@@ -16,7 +16,7 @@ POSTHOOK: Input: default@employee
#### A masked pattern was here ####
CBO PLAN:
HiveProject(id=[$2])
- HiveFilter(condition=[=($0, _UTF-16LE'')])
+ HiveFilter(condition=[=($0, '')])
HiveTableScan(table=[[default, employee]], table:alias=[employee])
PREHOOK: query: explain cbo SELECT id FROM employee where lastname = ''
@@ -29,6 +29,6 @@ POSTHOOK: Input: default@employee
#### A masked pattern was here ####
CBO PLAN:
HiveProject(id=[$2])
- HiveFilter(condition=[=($1, _UTF-16LE' ')])
+ HiveFilter(condition=[=($1, ' ')])
HiveTableScan(table=[[default, employee]], table:alias=[employee])
diff --git a/ql/src/test/results/clientpositive/llap/fouter_join_ppr.q.out b/ql/src/test/results/clientpositive/llap/fouter_join_ppr.q.out
index 8984774e9332..30cdba117af0 100644
--- a/ql/src/test/results/clientpositive/llap/fouter_join_ppr.q.out
+++ b/ql/src/test/results/clientpositive/llap/fouter_join_ppr.q.out
@@ -29,10 +29,10 @@ POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=12
OPTIMIZED SQL: SELECT `t0`.`key` AS `a.key`, `t0`.`value` AS `a.value`, `t2`.`key` AS `b.key`, `t2`.`value` AS `b.value`
FROM (SELECT `key`, `value`
FROM `default`.`src`
-WHERE `key` > 15 AND `key` < 20 AND `key` IS NOT NULL) AS `t0`
+WHERE `key` > 1.50E1 AND `key` < 2.00E1) AS `t0`
INNER JOIN (SELECT `key`, `value`
FROM `default`.`srcpart`
-WHERE `key` > 15 AND `key` < 20 AND `ds` = '2008-04-08' AND `key` IS NOT NULL) AS `t2` ON `t0`.`key` = `t2`.`key`
+WHERE `key` > 1.50E1 AND `key` < 2.00E1 AND `ds` = '2008-04-08') AS `t2` ON `t0`.`key` = `t2`.`key`
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -331,10 +331,10 @@ POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=12
OPTIMIZED SQL: SELECT `t0`.`key` AS `a.key`, `t0`.`value` AS `a.value`, `t2`.`key` AS `b.key`, `t2`.`value` AS `b.value`
FROM (SELECT `key`, `value`
FROM `default`.`srcpart`
-WHERE `key` > 15 AND `key` < 20 AND `ds` = '2008-04-08' AND `key` IS NOT NULL) AS `t0`
+WHERE `key` > 1.50E1 AND `key` < 2.00E1 AND `ds` = '2008-04-08') AS `t0`
INNER JOIN (SELECT `key`, `value`
FROM `default`.`src`
-WHERE `key` > 15 AND `key` < 20 AND `key` IS NOT NULL) AS `t2` ON `t0`.`key` = `t2`.`key`
+WHERE `key` > 1.50E1 AND `key` < 2.00E1) AS `t2` ON `t0`.`key` = `t2`.`key`
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -633,10 +633,10 @@ POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=12
OPTIMIZED SQL: SELECT `t0`.`key` AS `a.key`, `t0`.`value` AS `a.value`, `t2`.`key` AS `b.key`, `t2`.`value` AS `b.value`
FROM (SELECT `key`, `value`
FROM `default`.`src`
-WHERE `key` > 15 AND `key` < 20 AND `key` IS NOT NULL) AS `t0`
+WHERE `key` > 1.50E1 AND `key` < 2.00E1) AS `t0`
INNER JOIN (SELECT `key`, `value`
FROM `default`.`srcpart`
-WHERE `key` > 15 AND `key` < 20 AND `ds` = '2008-04-08' AND `key` IS NOT NULL) AS `t2` ON `t0`.`key` = `t2`.`key`
+WHERE `key` > 1.50E1 AND `key` < 2.00E1 AND `ds` = '2008-04-08') AS `t2` ON `t0`.`key` = `t2`.`key`
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -935,10 +935,10 @@ POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=12
OPTIMIZED SQL: SELECT `t0`.`key` AS `a.key`, `t0`.`value` AS `a.value`, `t2`.`key` AS `b.key`, `t2`.`value` AS `b.value`
FROM (SELECT `key`, `value`
FROM `default`.`srcpart`
-WHERE `key` > 15 AND `key` < 20 AND `ds` = '2008-04-08' AND `key` IS NOT NULL) AS `t0`
+WHERE `key` > 1.50E1 AND `key` < 2.00E1 AND `ds` = '2008-04-08') AS `t0`
INNER JOIN (SELECT `key`, `value`
FROM `default`.`src`
-WHERE `key` > 15 AND `key` < 20 AND `key` IS NOT NULL) AS `t2` ON `t0`.`key` = `t2`.`key`
+WHERE `key` > 1.50E1 AND `key` < 2.00E1) AS `t2` ON `t0`.`key` = `t2`.`key`
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
diff --git a/ql/src/test/results/clientpositive/llap/groupby13.q.out b/ql/src/test/results/clientpositive/llap/groupby13.q.out
index d7c3ff6ebb38..c390221e2645 100644
--- a/ql/src/test/results/clientpositive/llap/groupby13.q.out
+++ b/ql/src/test/results/clientpositive/llap/groupby13.q.out
@@ -129,8 +129,8 @@ POSTHOOK: Input: default@agby
CBO PLAN:
HiveProject(_c0=[$1])
HiveAggregate(group=[{0}], agg#0=[min($0)])
- HiveProject($f0=[CAST(_UTF-16LE'a':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
- HiveFilter(condition=[=($1, _UTF-16LE'a')])
+ HiveProject($f0=[CAST('a':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
+ HiveFilter(condition=[=($1, 'a')])
HiveTableScan(table=[[default, agby]], table:alias=[agby])
PREHOOK: query: select min(j) from aGBY where j='a' group by j
diff --git a/ql/src/test/results/clientpositive/llap/groupby_sort_1_23.q.out b/ql/src/test/results/clientpositive/llap/groupby_sort_1_23.q.out
index 191f46cb9948..74e815cfbf39 100644
--- a/ql/src/test/results/clientpositive/llap/groupby_sort_1_23.q.out
+++ b/ql/src/test/results/clientpositive/llap/groupby_sort_1_23.q.out
@@ -1532,9 +1532,9 @@ SELECT key, key + 1, count(1) FROM T1_n80 GROUP BY key, key + 1
POSTHOOK: type: QUERY
POSTHOOK: Input: default@t1_n80
POSTHOOK: Output: default@outputtbl3_n2
-OPTIMIZED SQL: SELECT `key`, CAST(`key` AS DOUBLE) + 1 AS `_c1`, COUNT(*) AS `_c2`
+OPTIMIZED SQL: SELECT `key`, CAST(`key` AS DOUBLE) + 1.0E0 AS `_c1`, COUNT(*) AS `_c2`
FROM `default`.`t1_n80`
-GROUP BY `key`, CAST(`key` AS DOUBLE) + 1
+GROUP BY `key`, CAST(`key` AS DOUBLE) + 1.0E0
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-2 depends on stages: Stage-1
diff --git a/ql/src/test/results/clientpositive/llap/groupby_sort_skew_1_23.q.out b/ql/src/test/results/clientpositive/llap/groupby_sort_skew_1_23.q.out
index ecc1b78ed696..d3e895c15adb 100644
--- a/ql/src/test/results/clientpositive/llap/groupby_sort_skew_1_23.q.out
+++ b/ql/src/test/results/clientpositive/llap/groupby_sort_skew_1_23.q.out
@@ -1576,9 +1576,9 @@ SELECT key, key + 1, count(1) FROM T1_n56 GROUP BY key, key + 1
POSTHOOK: type: QUERY
POSTHOOK: Input: default@t1_n56
POSTHOOK: Output: default@outputtbl3_n1
-OPTIMIZED SQL: SELECT `key`, CAST(`key` AS DOUBLE) + 1 AS `_c1`, COUNT(*) AS `_c2`
+OPTIMIZED SQL: SELECT `key`, CAST(`key` AS DOUBLE) + 1.0E0 AS `_c1`, COUNT(*) AS `_c2`
FROM `default`.`t1_n56`
-GROUP BY `key`, CAST(`key` AS DOUBLE) + 1
+GROUP BY `key`, CAST(`key` AS DOUBLE) + 1.0E0
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-2 depends on stages: Stage-1
diff --git a/ql/src/test/results/clientpositive/llap/having.q.out b/ql/src/test/results/clientpositive/llap/having.q.out
index 73f0b68a8c5b..3b3c543fcb7b 100644
--- a/ql/src/test/results/clientpositive/llap/having.q.out
+++ b/ql/src/test/results/clientpositive/llap/having.q.out
@@ -1346,7 +1346,7 @@ POSTHOOK: Input: default@src
#### A masked pattern was here ####
CBO PLAN:
HiveProject(c=[$1], m=[$2])
- HiveFilter(condition=[AND(>($1, 3), >(CAST($2):DOUBLE, 400))])
+ HiveFilter(condition=[AND(>($1, 3), >(CAST($2):DOUBLE, 400.0E0))])
HiveAggregate(group=[{0}], agg#0=[count($1)], agg#1=[max($0)])
HiveTableScan(table=[[default, src]], table:alias=[src])
diff --git a/ql/src/test/results/clientpositive/llap/in_typecheck_char.q.out b/ql/src/test/results/clientpositive/llap/in_typecheck_char.q.out
index e3a0c8d590a7..971bda57d5fd 100644
--- a/ql/src/test/results/clientpositive/llap/in_typecheck_char.q.out
+++ b/ql/src/test/results/clientpositive/llap/in_typecheck_char.q.out
@@ -306,7 +306,7 @@ POSTHOOK: Input: default@ax
CBO PLAN:
HiveProject(_c0=[$0])
HiveAggregate(group=[{}], agg#0=[count()])
- HiveFilter(condition=[IN($1, _UTF-16LE'a ', _UTF-16LE'bb ', _UTF-16LE'aa ', _UTF-16LE'bbb ', _UTF-16LE'ab ', _UTF-16LE'ba ', _UTF-16LE'aaa ', _UTF-16LE'bbb ', _UTF-16LE'abc ', _UTF-16LE'bc ', _UTF-16LE'ac ', _UTF-16LE'bca ', _UTF-16LE'cab ', _UTF-16LE'cb ', _UTF-16LE'ca ', _UTF-16LE'cbc ', _UTF-16LE'z ')])
+ HiveFilter(condition=[IN($1, 'a ', 'bb ', 'aa ', 'bbb ', 'ab ', 'ba ', 'aaa ', 'bbb ', 'abc ', 'bc ', 'ac ', 'bca ', 'cab ', 'cb ', 'ca ', 'cbc ', 'z ')])
HiveTableScan(table=[[default, ax]], table:alias=[ax])
PREHOOK: query: explain select count(*) from ax where t in
@@ -390,7 +390,7 @@ POSTHOOK: Input: default@ax
CBO PLAN:
HiveProject(_c0=[$0])
HiveAggregate(group=[{}], agg#0=[count()])
- HiveFilter(condition=[IN($1, _UTF-16LE'a', _UTF-16LE'aa', _UTF-16LE'aaa', _UTF-16LE'ab', _UTF-16LE'abc', _UTF-16LE'ac', _UTF-16LE'ba', _UTF-16LE'bb', _UTF-16LE'bbb', _UTF-16LE'bc', _UTF-16LE'bca', _UTF-16LE'ca', _UTF-16LE'cab', _UTF-16LE'cb', _UTF-16LE'cbc', _UTF-16LE'z')])
+ HiveFilter(condition=[IN($1, 'a ', 'aa ', 'aaa ', 'ab ', 'abc ', 'ac ', 'ba ', 'bb ', 'bbb ', 'bc ', 'bca ', 'ca ', 'cab ', 'cb ', 'cbc ', 'z ')])
HiveTableScan(table=[[default, ax]], table:alias=[ax])
PREHOOK: query: explain select count(*) from ax where t in
diff --git a/ql/src/test/results/clientpositive/llap/input42.q.out b/ql/src/test/results/clientpositive/llap/input42.q.out
index d6194442e799..861fb154a9f2 100644
--- a/ql/src/test/results/clientpositive/llap/input42.q.out
+++ b/ql/src/test/results/clientpositive/llap/input42.q.out
@@ -1131,7 +1131,7 @@ POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=12
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT `key` AS `a.key`, `value` AS `a.value`, CAST('2008-04-08' AS STRING) AS `a.ds`, `hr` AS `a.hr`
FROM `default`.`srcpart`
-WHERE `key` < 200 AND `ds` = '2008-04-08'
+WHERE `key` < 2.000E2 AND `ds` = '2008-04-08'
STAGE DEPENDENCIES:
Stage-0 is a root stage
@@ -1629,7 +1629,7 @@ POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=12
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT `key` AS `a.key`, `value` AS `a.value`, CAST('2008-04-08' AS STRING) AS `a.ds`, `hr` AS `a.hr`
FROM `default`.`srcpart`
-WHERE `ds` = '2008-04-08' AND RAND(100) < 0.1
+WHERE `ds` = '2008-04-08' AND RAND(100) < 1E-1
STAGE DEPENDENCIES:
Stage-0 is a root stage
diff --git a/ql/src/test/results/clientpositive/llap/input8.q.out b/ql/src/test/results/clientpositive/llap/input8.q.out
index b450e7b8b5f0..1038e17daf7b 100644
--- a/ql/src/test/results/clientpositive/llap/input8.q.out
+++ b/ql/src/test/results/clientpositive/llap/input8.q.out
@@ -36,14 +36,14 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: src1
- Statistics: Num rows: 25 Data size: 191 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 25 Data size: 2150 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
- expressions: null (type: string), null (type: int), null (type: double)
+ expressions: null (type: string), UDFToInteger((UDFToDouble(key) - null)) (type: int), null (type: double)
outputColumnNames: _col0, _col1, _col2
- Statistics: Num rows: 25 Data size: 96 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 25 Data size: 192 Basic stats: COMPLETE Column stats: COMPLETE
File Output Operator
compressed: false
- Statistics: Num rows: 25 Data size: 96 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 25 Data size: 192 Basic stats: COMPLETE Column stats: COMPLETE
table:
input format: org.apache.hadoop.mapred.TextInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
@@ -52,7 +52,7 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col1 (type: int), _col2 (type: double)
outputColumnNames: c1, c2, c3
- Statistics: Num rows: 25 Data size: 96 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 25 Data size: 192 Basic stats: COMPLETE Column stats: COMPLETE
Group By Operator
aggregations: max(length(c1)), avg(COALESCE(length(c1),0)), count(1), count(c1), compute_bit_vector_hll(c1), min(c2), max(c2), count(c2), compute_bit_vector_hll(c2), min(c3), max(c3), count(c3), compute_bit_vector_hll(c3)
minReductionHashAggr: 0.96
@@ -118,7 +118,7 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: default@src1
POSTHOOK: Output: default@dest1_n28
POSTHOOK: Lineage: dest1_n28.c1 EXPRESSION []
-POSTHOOK: Lineage: dest1_n28.c2 EXPRESSION []
+POSTHOOK: Lineage: dest1_n28.c2 EXPRESSION [(src1)src1.FieldSchema(name:key, type:string, comment:default), ]
POSTHOOK: Lineage: dest1_n28.c3 EXPRESSION []
PREHOOK: query: SELECT dest1_n28.* FROM dest1_n28
PREHOOK: type: QUERY
diff --git a/ql/src/test/results/clientpositive/llap/input_part1.q.out b/ql/src/test/results/clientpositive/llap/input_part1.q.out
index f99bf183b366..404371da2808 100644
--- a/ql/src/test/results/clientpositive/llap/input_part1.q.out
+++ b/ql/src/test/results/clientpositive/llap/input_part1.q.out
@@ -22,7 +22,7 @@ POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=12
POSTHOOK: Output: default@dest1_n45
OPTIMIZED SQL: SELECT `key` AS `srcpart.key`, `value` AS `srcpart.value`, CAST('12' AS STRING) AS `srcpart.hr`, CAST('2008-04-08' AS STRING) AS `srcpart.ds`
FROM `default`.`srcpart`
-WHERE `key` < 100 AND `ds` = '2008-04-08' AND `hr` = '12'
+WHERE `key` < 1.000E2 AND `ds` = '2008-04-08' AND `hr` = '12'
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-2 depends on stages: Stage-1
diff --git a/ql/src/test/results/clientpositive/llap/intersect_all_rj.q.out b/ql/src/test/results/clientpositive/llap/intersect_all_rj.q.out
index 51fb71412ba0..61765ce414a3 100644
--- a/ql/src/test/results/clientpositive/llap/intersect_all_rj.q.out
+++ b/ql/src/test/results/clientpositive/llap/intersect_all_rj.q.out
@@ -185,7 +185,7 @@ HiveProject(timestamp_col=[$1])
HiveFilter(condition=[IS NOT NULL($1)])
HiveTableScan(table=[[default, table_7]], table:alias=[a3])
HiveProject($f0=[CASE(IS NOT NULL($2), $2, CASE($0, $3, $1))], EXPR$1=[CAST($4):BIGINT])
- HiveFilter(condition=[IS NOT NULL(CAST($4):BIGINT)])
+ HiveFilter(condition=[IS NOT NULL($4)])
HiveTableScan(table=[[default, table_10]], table:alias=[a4])
HiveProject($f0=[$0], $f1=[$1])
HiveAggregate(group=[{0}], agg#0=[count()])
diff --git a/ql/src/test/results/clientpositive/llap/interval_3.q.out b/ql/src/test/results/clientpositive/llap/interval_3.q.out
index f004b3e990a2..40a8a3df742b 100644
--- a/ql/src/test/results/clientpositive/llap/interval_3.q.out
+++ b/ql/src/test/results/clientpositive/llap/interval_3.q.out
@@ -159,10 +159,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: d1
- filterExpr: CAST( d_date AS DATE) is not null (type: boolean)
+ filterExpr: (((((((CAST( d_date AS DATE) + INTERVAL'1-0') + INTERVAL'0-2') + INTERVAL'5 00:00:00.000000000') + INTERVAL'0 04:00:00.000000000') + INTERVAL'0 00:10:00.000000000') + INTERVAL'0 00:00:09.000000000') is not null and (CAST( d_date AS DATE) + INTERVAL'1-2') is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 188 Basic stats: COMPLETE Column stats: NONE
Filter Operator
- predicate: CAST( d_date AS DATE) is not null (type: boolean)
+ predicate: (((((((CAST( d_date AS DATE) + INTERVAL'1-0') + INTERVAL'0-2') + INTERVAL'5 00:00:00.000000000') + INTERVAL'0 04:00:00.000000000') + INTERVAL'0 00:10:00.000000000') + INTERVAL'0 00:00:09.000000000') is not null and (CAST( d_date AS DATE) + INTERVAL'1-2') is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 188 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_week_seq (type: int), ((((((CAST( d_date AS DATE) + INTERVAL'1-0') + INTERVAL'0-2') + INTERVAL'5 00:00:00.000000000') + INTERVAL'0 04:00:00.000000000') + INTERVAL'0 00:10:00.000000000') + INTERVAL'0 00:00:09.000000000') (type: timestamp), (CAST( d_date AS DATE) + INTERVAL'1-2') (type: date)
diff --git a/ql/src/test/results/clientpositive/llap/jdbc_project_pushdown.q.out b/ql/src/test/results/clientpositive/llap/jdbc_project_pushdown.q.out
index d3eb7a8cf7f4..1368468d0d0e 100644
--- a/ql/src/test/results/clientpositive/llap/jdbc_project_pushdown.q.out
+++ b/ql/src/test/results/clientpositive/llap/jdbc_project_pushdown.q.out
@@ -83,7 +83,7 @@ HiveProject(id=[$0])
HiveProject(id=[$0])
HiveJdbcConverter(convention=[JDBC.POSTGRES])
JdbcProject(id=[$0])
- JdbcFilter(condition=[=(SUBSTRING($1, 0, 4), _UTF-16LE'Les')])
+ JdbcFilter(condition=[=(SUBSTRING($1, 0, 4), 'Les')])
JdbcProject(id=[$0], title=[$1])
JdbcHiveTableScan(table=[[default, book]], table:alias=[book])
@@ -109,7 +109,7 @@ STAGE PLANS:
hive.sql.query SELECT "id"
FROM (SELECT "id", "title"
FROM "book") AS "t"
-WHERE SUBSTRING("title" FROM 0 FOR 4) = 'Les'
+WHERE SUBSTRING("title", 0, 4) = 'Les'
hive.sql.query.fieldNames id
hive.sql.query.fieldTypes int
hive.sql.query.split true
@@ -137,7 +137,7 @@ POSTHOOK: Input: default@book
#### A masked pattern was here ####
CBO PLAN:
HiveProject(id=[$0])
- HiveFilter(condition=[=(CAST(ucase($1)):VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'LES MISERABLES')])
+ HiveFilter(condition=[=(CAST(ucase($1)):VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'LES MISERABLES')])
HiveProject(id=[$0], title=[$1])
HiveJdbcConverter(convention=[JDBC.POSTGRES])
JdbcProject(id=[$0], title=[$1])
@@ -281,7 +281,7 @@ CBO PLAN:
HiveProject(book.title=[$0], author.fname=[$3])
HiveJoin(condition=[=($1, $2)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(title=[$0], author=[$1])
- HiveFilter(condition=[=(CAST(ucase($0)):VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'LES MISERABLES')])
+ HiveFilter(condition=[=(CAST(ucase($0)):VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'LES MISERABLES')])
HiveProject(title=[$0], author=[$1])
HiveJdbcConverter(convention=[JDBC.POSTGRES])
JdbcFilter(condition=[IS NOT NULL($1)])
@@ -290,7 +290,7 @@ HiveProject(book.title=[$0], author.fname=[$3])
HiveProject(id=[$0], fname=[$1])
HiveJdbcConverter(convention=[JDBC.POSTGRES])
JdbcProject(id=[$0], fname=[$1])
- JdbcFilter(condition=[AND(=(SUBSTRING($2, 0, 4), _UTF-16LE'Hug'), IS NOT NULL($0))])
+ JdbcFilter(condition=[AND(=(SUBSTRING($2, 0, 4), 'Hug'), IS NOT NULL($0))])
JdbcHiveTableScan(table=[[default, author]], table:alias=[author])
PREHOOK: query: explain select book.title, author.fname from book join author
@@ -357,7 +357,7 @@ WHERE "author" IS NOT NULL
properties:
hive.sql.query SELECT "id", "fname"
FROM "author"
-WHERE SUBSTRING("lname" FROM 0 FOR 4) = 'Hug' AND "id" IS NOT NULL
+WHERE SUBSTRING("lname", 0, 4) = 'Hug' AND "id" IS NOT NULL
hive.sql.query.fieldNames id,fname
hive.sql.query.fieldTypes int,string
hive.sql.query.split true
diff --git a/ql/src/test/results/clientpositive/llap/jdbc_table_dml_postgres.q.out b/ql/src/test/results/clientpositive/llap/jdbc_table_dml_postgres.q.out
index ff176beec780..786f0cbfeaf9 100644
--- a/ql/src/test/results/clientpositive/llap/jdbc_table_dml_postgres.q.out
+++ b/ql/src/test/results/clientpositive/llap/jdbc_table_dml_postgres.q.out
@@ -43,7 +43,7 @@ POSTHOOK: Input: _dummy_database@_dummy_table
POSTHOOK: Output: default@country
CBO PLAN:
HiveProject(col1=[$0], col2=[$1])
- HiveTableFunctionScan(invocation=[inline(ARRAY(ROW(8, _UTF-16LE'Hungary':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")))], rowType=[RecordType(INTEGER col1, VARCHAR(2147483647) col2)])
+ HiveTableFunctionScan(invocation=[inline(ARRAY(ROW(8, 'Hungary':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")))], rowType=[RecordType(INTEGER col1, VARCHAR(2147483647) col2)])
HiveTableScan(table=[[_dummy_database, _dummy_table]], table:alias=[_dummy_table])
PREHOOK: query: EXPLAIN INSERT INTO country VALUES (8, 'Hungary')
diff --git a/ql/src/test/results/clientpositive/llap/join13.q.out b/ql/src/test/results/clientpositive/llap/join13.q.out
index dc395305938d..0bc700cd4561 100644
--- a/ql/src/test/results/clientpositive/llap/join13.q.out
+++ b/ql/src/test/results/clientpositive/llap/join13.q.out
@@ -103,6 +103,7 @@ STAGE PLANS:
0 _col0 (type: string)
1 _col0 (type: string)
outputColumnNames: _col0, _col1, _col2
+ residual filter predicates: {(UDFToDouble(_col2) + UDFToDouble(_col0)) is not null}
Statistics: Num rows: 166 Data size: 43990 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: (UDFToDouble(_col2) + UDFToDouble(_col0)) (type: double)
diff --git a/ql/src/test/results/clientpositive/llap/join2.q.out b/ql/src/test/results/clientpositive/llap/join2.q.out
index 3b46b489faa3..32912e401227 100644
--- a/ql/src/test/results/clientpositive/llap/join2.q.out
+++ b/ql/src/test/results/clientpositive/llap/join2.q.out
@@ -37,29 +37,32 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: src1
- filterExpr: (key is not null and UDFToDouble(key) is not null) (type: boolean)
+ filterExpr: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 43500 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (key is not null and UDFToDouble(key) is not null) (type: boolean)
+ predicate: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 43500 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: string), UDFToDouble(key) (type: double)
outputColumnNames: _col0, _col1
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
- Reduce Output Operator
- key expressions: _col0 (type: string)
- null sort order: z
- sort order: +
- Map-reduce partition columns: _col0 (type: string)
+ Filter Operator
+ predicate: _col1 is not null (type: boolean)
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
- value expressions: _col1 (type: double)
+ Reduce Output Operator
+ key expressions: _col0 (type: string)
+ null sort order: z
+ sort order: +
+ Map-reduce partition columns: _col0 (type: string)
+ Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
+ value expressions: _col1 (type: double)
Execution mode: vectorized, llap
LLAP IO: all inputs
Map 4
Map Operator Tree:
TableScan
alias: src3
- filterExpr: (UDFToDouble(key) is not null or (key is not null and UDFToDouble(key) is not null)) (type: boolean)
+ filterExpr: (UDFToDouble(key) is not null or key is not null) (type: boolean)
Statistics: Num rows: 500 Data size: 89000 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: UDFToDouble(key) is not null (type: boolean)
@@ -76,19 +79,22 @@ STAGE PLANS:
Statistics: Num rows: 500 Data size: 49500 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col0 (type: string)
Filter Operator
- predicate: (key is not null and UDFToDouble(key) is not null) (type: boolean)
+ predicate: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 43500 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: string), UDFToDouble(key) (type: double)
outputColumnNames: _col0, _col1
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
- Reduce Output Operator
- key expressions: _col0 (type: string)
- null sort order: z
- sort order: +
- Map-reduce partition columns: _col0 (type: string)
+ Filter Operator
+ predicate: _col1 is not null (type: boolean)
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
- value expressions: _col1 (type: double)
+ Reduce Output Operator
+ key expressions: _col0 (type: string)
+ null sort order: z
+ sort order: +
+ Map-reduce partition columns: _col0 (type: string)
+ Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
+ value expressions: _col1 (type: double)
Execution mode: vectorized, llap
LLAP IO: all inputs
Reducer 2
diff --git a/ql/src/test/results/clientpositive/llap/join26.q.out b/ql/src/test/results/clientpositive/llap/join26.q.out
index e0662ab5bd07..18ea69cfe901 100644
--- a/ql/src/test/results/clientpositive/llap/join26.q.out
+++ b/ql/src/test/results/clientpositive/llap/join26.q.out
@@ -31,7 +31,7 @@ POSTHOOK: Output: default@dest_j1_n10
OPTIMIZED SQL: SELECT `t4`.`key` AS `x.key`, `t0`.`value` AS `z.value`, `t2`.`value` AS `y.value`
FROM (SELECT `key`, `value`
FROM `default`.`srcpart`
-WHERE `ds` = '2008-04-08' AND `hr` = 11 AND `key` IS NOT NULL) AS `t0`
+WHERE `ds` = '2008-04-08' AND `hr` = 1.10E1 AND `key` IS NOT NULL) AS `t0`
INNER JOIN ((SELECT `key`, `value`
FROM `default`.`src`
WHERE `key` IS NOT NULL) AS `t2` INNER JOIN (SELECT `key`
diff --git a/ql/src/test/results/clientpositive/llap/join32.q.out b/ql/src/test/results/clientpositive/llap/join32.q.out
index efee714a3bcc..85de7041eb71 100644
--- a/ql/src/test/results/clientpositive/llap/join32.q.out
+++ b/ql/src/test/results/clientpositive/llap/join32.q.out
@@ -31,7 +31,7 @@ POSTHOOK: Output: default@dest_j1_n12
OPTIMIZED SQL: SELECT `t4`.`key` AS `x.key`, `t0`.`value` AS `z.value`, `t2`.`value` AS `y.value`
FROM (SELECT `value`
FROM `default`.`srcpart`
-WHERE `ds` = '2008-04-08' AND `hr` = 11 AND `value` IS NOT NULL) AS `t0`
+WHERE `ds` = '2008-04-08' AND `hr` = 1.10E1 AND `value` IS NOT NULL) AS `t0`
INNER JOIN ((SELECT `key`, `value`
FROM `default`.`src`
WHERE `key` IS NOT NULL) AS `t2` INNER JOIN (SELECT `key`, `value`
diff --git a/ql/src/test/results/clientpositive/llap/join32_lessSize.q.out b/ql/src/test/results/clientpositive/llap/join32_lessSize.q.out
index 15ec6ca9af08..5a436ae7e09c 100644
--- a/ql/src/test/results/clientpositive/llap/join32_lessSize.q.out
+++ b/ql/src/test/results/clientpositive/llap/join32_lessSize.q.out
@@ -39,7 +39,7 @@ POSTHOOK: Output: default@dest_j1_n21
OPTIMIZED SQL: SELECT `t4`.`key` AS `x.key`, `t0`.`value` AS `z.value`, `t2`.`value` AS `y.value`
FROM (SELECT `value`
FROM `default`.`srcpart`
-WHERE `ds` = '2008-04-08' AND `hr` = 11 AND `value` IS NOT NULL) AS `t0`
+WHERE `ds` = '2008-04-08' AND `hr` = 1.10E1 AND `value` IS NOT NULL) AS `t0`
INNER JOIN ((SELECT `key`, `value`
FROM `default`.`src`
WHERE `key` IS NOT NULL) AS `t2` INNER JOIN (SELECT `key`, `value`
@@ -1109,7 +1109,7 @@ POSTHOOK: Output: default@dest_j2_n1
OPTIMIZED SQL: SELECT `t4`.`key` AS `res.key`, `t0`.`value` AS `z.value`, `t4`.`value` AS `res.value`
FROM (SELECT `value`
FROM `default`.`srcpart`
-WHERE `ds` = '2008-04-08' AND `hr` = 11 AND `value` IS NOT NULL) AS `t0`
+WHERE `ds` = '2008-04-08' AND `hr` = 1.10E1 AND `value` IS NOT NULL) AS `t0`
INNER JOIN ((SELECT `key`
FROM `default`.`src`
WHERE `key` IS NOT NULL) AS `t2` INNER JOIN (SELECT `key`, `value`
@@ -1608,7 +1608,7 @@ POSTHOOK: Output: default@dest_j2_n1
OPTIMIZED SQL: SELECT `t2`.`key` AS `res.key`, `t0`.`value` AS `z.value`, `t2`.`value` AS `res.value`
FROM (SELECT `value`
FROM `default`.`srcpart`
-WHERE `ds` = '2008-04-08' AND `hr` = 11 AND `value` IS NOT NULL) AS `t0`
+WHERE `ds` = '2008-04-08' AND `hr` = 1.10E1 AND `value` IS NOT NULL) AS `t0`
INNER JOIN ((SELECT `key`, `value`
FROM `default`.`src1`
WHERE `value` IS NOT NULL) AS `t2` LEFT JOIN (SELECT `key`
diff --git a/ql/src/test/results/clientpositive/llap/join33.q.out b/ql/src/test/results/clientpositive/llap/join33.q.out
index d1bb9c66a78e..4467faca0cce 100644
--- a/ql/src/test/results/clientpositive/llap/join33.q.out
+++ b/ql/src/test/results/clientpositive/llap/join33.q.out
@@ -31,7 +31,7 @@ POSTHOOK: Output: default@dest_j1_n7
OPTIMIZED SQL: SELECT `t4`.`key` AS `x.key`, `t0`.`value` AS `z.value`, `t2`.`value` AS `y.value`
FROM (SELECT `value`
FROM `default`.`srcpart`
-WHERE `ds` = '2008-04-08' AND `hr` = 11 AND `value` IS NOT NULL) AS `t0`
+WHERE `ds` = '2008-04-08' AND `hr` = 1.10E1 AND `value` IS NOT NULL) AS `t0`
INNER JOIN ((SELECT `key`, `value`
FROM `default`.`src`
WHERE `key` IS NOT NULL) AS `t2` INNER JOIN (SELECT `key`, `value`
diff --git a/ql/src/test/results/clientpositive/llap/join34.q.out b/ql/src/test/results/clientpositive/llap/join34.q.out
index ef54be0b29eb..6a979d053d02 100644
--- a/ql/src/test/results/clientpositive/llap/join34.q.out
+++ b/ql/src/test/results/clientpositive/llap/join34.q.out
@@ -36,14 +36,14 @@ OPTIMIZED SQL: SELECT `t6`.`key` AS `x.key`, `t6`.`value` AS `x.value`, `t4`.`va
FROM (SELECT *
FROM (SELECT `key`, `value`
FROM `default`.`src`
-WHERE `key` < 20
+WHERE `key` < 2.00E1
UNION ALL
SELECT `key`, `value`
FROM `default`.`src`
-WHERE `key` > 100) AS `t3`) AS `t4`
+WHERE `key` > 1.000E2) AS `t3`) AS `t4`
INNER JOIN (SELECT `key`, `value`
FROM `default`.`src1`
-WHERE (`key` < 20 OR `key` > 100) AND `key` IS NOT NULL) AS `t6` ON `t4`.`key` = `t6`.`key`
+WHERE `key` < 2.00E1 OR `key` > 1.000E2) AS `t6` ON `t4`.`key` = `t6`.`key`
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-2 depends on stages: Stage-1
@@ -295,12 +295,12 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: x
- filterExpr: (((UDFToDouble(key) < 20.0D) or (UDFToDouble(key) > 100.0D)) and key is not null) (type: boolean)
+ filterExpr: ((UDFToDouble(key) < 20.0D) or (UDFToDouble(key) > 100.0D)) (type: boolean)
Statistics: Num rows: 25 Data size: 4375 Basic stats: COMPLETE Column stats: COMPLETE
GatherStats: false
Filter Operator
isSamplingPred: false
- predicate: (((UDFToDouble(key) < 20.0D) or (UDFToDouble(key) > 100.0D)) and key is not null) (type: boolean)
+ predicate: ((UDFToDouble(key) < 20.0D) or (UDFToDouble(key) > 100.0D)) (type: boolean)
Statistics: Num rows: 16 Data size: 2800 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: string), value (type: string)
diff --git a/ql/src/test/results/clientpositive/llap/join35.q.out b/ql/src/test/results/clientpositive/llap/join35.q.out
index 39c088690d6e..d00471a00933 100644
--- a/ql/src/test/results/clientpositive/llap/join35.q.out
+++ b/ql/src/test/results/clientpositive/llap/join35.q.out
@@ -36,16 +36,16 @@ OPTIMIZED SQL: SELECT `t8`.`key` AS `x.key`, `t8`.`value` AS `x.value`, `t6`.`$f
FROM (SELECT *
FROM (SELECT `key`, COUNT(*) AS `$f1`
FROM `default`.`src`
-WHERE `key` < 20
+WHERE `key` < 2.00E1
GROUP BY `key`
UNION ALL
SELECT `key`, COUNT(*) AS `$f1`
FROM `default`.`src`
-WHERE `key` > 100
+WHERE `key` > 1.000E2
GROUP BY `key`) AS `t5`) AS `t6`
INNER JOIN (SELECT `key`, `value`
FROM `default`.`src1`
-WHERE (`key` < 20 OR `key` > 100) AND `key` IS NOT NULL) AS `t8` ON `t6`.`key` = `t8`.`key`
+WHERE `key` < 2.00E1 OR `key` > 1.000E2) AS `t8` ON `t6`.`key` = `t8`.`key`
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-2 depends on stages: Stage-1
@@ -156,12 +156,12 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: x
- filterExpr: (((UDFToDouble(key) < 20.0D) or (UDFToDouble(key) > 100.0D)) and key is not null) (type: boolean)
+ filterExpr: ((UDFToDouble(key) < 20.0D) or (UDFToDouble(key) > 100.0D)) (type: boolean)
Statistics: Num rows: 25 Data size: 4375 Basic stats: COMPLETE Column stats: COMPLETE
GatherStats: false
Filter Operator
isSamplingPred: false
- predicate: (((UDFToDouble(key) < 20.0D) or (UDFToDouble(key) > 100.0D)) and key is not null) (type: boolean)
+ predicate: ((UDFToDouble(key) < 20.0D) or (UDFToDouble(key) > 100.0D)) (type: boolean)
Statistics: Num rows: 16 Data size: 2800 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: string), value (type: string)
diff --git a/ql/src/test/results/clientpositive/llap/lateral_view_cbo.q.out b/ql/src/test/results/clientpositive/llap/lateral_view_cbo.q.out
index 762801321efb..beaa76627989 100644
--- a/ql/src/test/results/clientpositive/llap/lateral_view_cbo.q.out
+++ b/ql/src/test/results/clientpositive/llap/lateral_view_cbo.q.out
@@ -54,7 +54,7 @@ POSTHOOK: Input: default@simple_table
#### A masked pattern was here ####
CBO PLAN:
HiveProject(tf.col1=[$6], tf.col2=[$7], tf.col3=[$8])
- HiveTableFunctionScan(invocation=[inline(ARRAY(ROW($0, $1, $2, $3, $4, $5, _UTF-16LE'A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 10, $0), ROW($0, $1, $2, $3, $4, $5, _UTF-16LE'B':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 20, $0)))], rowType=[RecordType(VARCHAR(2147483647) col, VARCHAR(2147483647) ARRAY array_col, BIGINT BLOCK__OFFSET__INSIDE__FILE, VARCHAR(2147483647) INPUT__FILE__NAME, RecordType(BIGINT writeid, INTEGER bucketid, BIGINT rowid) ROW__ID, BOOLEAN ROW__IS__DELETED, VARCHAR(2147483647) tf.col1, INTEGER tf.col2, VARCHAR(2147483647) tf.col3)])
+ HiveTableFunctionScan(invocation=[inline(ARRAY(ROW($0, $1, $2, $3, $4, $5, 'A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 10, $0), ROW($0, $1, $2, $3, $4, $5, 'B':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 20, $0)))], rowType=[RecordType(VARCHAR(2147483647) col, VARCHAR(2147483647) ARRAY array_col, BIGINT BLOCK__OFFSET__INSIDE__FILE, VARCHAR(2147483647) INPUT__FILE__NAME, RecordType(BIGINT writeid, INTEGER bucketid, BIGINT rowid) ROW__ID, BOOLEAN ROW__IS__DELETED, VARCHAR(2147483647) tf.col1, INTEGER tf.col2, VARCHAR(2147483647) tf.col3)])
HiveTableScan(table=[[default, simple_table]], table:alias=[simple_table])
PREHOOK: query: EXPLAIN CBO SELECT myTable.myCol FROM simple_table
@@ -92,7 +92,7 @@ HiveProject(mycol=[$6])
HiveProject(col=[$0], array_col=[$1], BLOCK__OFFSET__INSIDE__FILE=[$2], INPUT__FILE__NAME=[$3], ROW__ID=[$4], ROW__IS__DELETED=[$5], mytable.mycol=[$6])
HiveTableFunctionScan(invocation=[LATERAL(explode(ARRAY(1, 2, 3)), $0, $1, $2, $3, $4, $5)], rowType=[RecordType(VARCHAR(2147483647) col, VARCHAR(2147483647) ARRAY array_col, BIGINT BLOCK__OFFSET__INSIDE__FILE, VARCHAR(2147483647) INPUT__FILE__NAME, RecordType(BIGINT writeid, INTEGER bucketid, BIGINT rowid) ROW__ID, BOOLEAN ROW__IS__DELETED, INTEGER mytable.mycol)])
HiveProject(col=[$0], array_col=[$1], BLOCK__OFFSET__INSIDE__FILE=[$2], INPUT__FILE__NAME=[$3], ROW__ID=[$4], ROW__IS__DELETED=[$5])
- HiveFilter(condition=[=($0, _UTF-16LE'0')])
+ HiveFilter(condition=[=($0, '0')])
HiveTableScan(table=[[default, simple_table]], table:alias=[simple_table])
PREHOOK: query: EXPLAIN CBO SELECT myCol FROM simple_table
@@ -107,7 +107,7 @@ POSTHOOK: Input: default@simple_table
#### A masked pattern was here ####
CBO PLAN:
HiveProject(mycol=[$6])
- HiveFilter(condition=[=(CAST($6):DOUBLE, 1)])
+ HiveFilter(condition=[=(CAST($6):DOUBLE, 1.0E0)])
HiveTableFunctionScan(invocation=[LATERAL(explode($1), $0, $1, $2, $3, $4, $5)], rowType=[RecordType(VARCHAR(2147483647) col, VARCHAR(2147483647) ARRAY array_col, BIGINT BLOCK__OFFSET__INSIDE__FILE, VARCHAR(2147483647) INPUT__FILE__NAME, RecordType(BIGINT writeid, INTEGER bucketid, BIGINT rowid) ROW__ID, BOOLEAN ROW__IS__DELETED, VARCHAR(2147483647) mytable.mycol)])
HiveTableScan(table=[[default, simple_table]], table:alias=[simple_table])
diff --git a/ql/src/test/results/clientpositive/llap/lineage2.q.out b/ql/src/test/results/clientpositive/llap/lineage2.q.out
index 7af56737e8e0..a2980d5561a6 100644
--- a/ql/src/test/results/clientpositive/llap/lineage2.q.out
+++ b/ql/src/test/results/clientpositive/llap/lineage2.q.out
@@ -490,7 +490,7 @@ PREHOOK: Input: default@src1
PREHOOK: Input: default@src2
PREHOOK: Output: default@dest2_n11
Result schema has 4 fields, but we don't get as many dependencies
-{"version":"1.0","engine":"tez","database":"default","hash":"4c13fe982c4d22e5735ba469dee4b3d8","queryText":"insert into table dest2_n11\n select * from src1 JOIN src2 ON length(src1.value) = length(src2.value2) + 1","edges":[{"sources":[4],"targets":[0],"edgeType":"PROJECTION"},{"sources":[5],"targets":[1],"edgeType":"PROJECTION"},{"sources":[6],"targets":[2],"edgeType":"PROJECTION"},{"sources":[7],"targets":[3],"edgeType":"PROJECTION"},{"sources":[5],"targets":[0,1,2,3],"expression":"length(src1.value) is not null","edgeType":"PREDICATE"},{"sources":[5,7],"targets":[0,1,2,3],"expression":"(length(src1.value) = (length(src2.value2) + 1))","edgeType":"PREDICATE"},{"sources":[7],"targets":[0,1,2,3],"expression":"length(src2.value2) is not null","edgeType":"PREDICATE"}],"vertices":[{"id":0,"vertexType":"COLUMN","vertexId":"default.dest2_n11.key"},{"id":1,"vertexType":"COLUMN","vertexId":"default.dest2_n11.value"},{"id":2,"vertexType":"COLUMN","vertexId":"default.dest2_n11.key2"},{"id":3,"vertexType":"COLUMN","vertexId":"default.dest2_n11.value2"},{"id":4,"vertexType":"COLUMN","vertexId":"default.src1.key"},{"id":5,"vertexType":"COLUMN","vertexId":"default.src1.value"},{"id":6,"vertexType":"COLUMN","vertexId":"default.src2.key2"},{"id":7,"vertexType":"COLUMN","vertexId":"default.src2.value2"}]}
+{"version":"1.0","engine":"tez","database":"default","hash":"4c13fe982c4d22e5735ba469dee4b3d8","queryText":"insert into table dest2_n11\n select * from src1 JOIN src2 ON length(src1.value) = length(src2.value2) + 1","edges":[{"sources":[4],"targets":[0],"edgeType":"PROJECTION"},{"sources":[5],"targets":[1],"edgeType":"PROJECTION"},{"sources":[6],"targets":[2],"edgeType":"PROJECTION"},{"sources":[7],"targets":[3],"edgeType":"PROJECTION"},{"sources":[5],"targets":[0,1,2,3],"expression":"length(src1.value) is not null","edgeType":"PREDICATE"},{"sources":[5,7],"targets":[0,1,2,3],"expression":"(length(src1.value) = (length(src2.value2) + 1))","edgeType":"PREDICATE"},{"sources":[7],"targets":[0,1,2,3],"expression":"(length(src2.value2) + 1) is not null","edgeType":"PREDICATE"}],"vertices":[{"id":0,"vertexType":"COLUMN","vertexId":"default.dest2_n11.key"},{"id":1,"vertexType":"COLUMN","vertexId":"default.dest2_n11.value"},{"id":2,"vertexType":"COLUMN","vertexId":"default.dest2_n11.key2"},{"id":3,"vertexType":"COLUMN","vertexId":"default.dest2_n11.value2"},{"id":4,"vertexType":"COLUMN","vertexId":"default.src1.key"},{"id":5,"vertexType":"COLUMN","vertexId":"default.src1.value"},{"id":6,"vertexType":"COLUMN","vertexId":"default.src2.key2"},{"id":7,"vertexType":"COLUMN","vertexId":"default.src2.value2"}]}
PREHOOK: query: select * from src1 where length(key) > 2
PREHOOK: type: QUERY
PREHOOK: Input: default@src1
diff --git a/ql/src/test/results/clientpositive/llap/lineage3.q.out b/ql/src/test/results/clientpositive/llap/lineage3.q.out
index e00fcd21fd03..5c0920c6717a 100644
--- a/ql/src/test/results/clientpositive/llap/lineage3.q.out
+++ b/ql/src/test/results/clientpositive/llap/lineage3.q.out
@@ -12,7 +12,7 @@ PREHOOK: type: QUERY
PREHOOK: Input: default@alltypesorc
PREHOOK: Output: default@d1
Result schema has 1 fields, but we don't get as many dependencies
-{"version":"1.0","engine":"tez","database":"default","hash":"a1d51634883428cbc72084be0ec2e641","queryText":"from (select a.ctinyint x, b.cstring1 y\nfrom alltypesorc a join alltypesorc b on a.cint = b.cbigint) t_n20\ninsert into table d1 select x + length(y)","edges":[{"sources":[1,2],"targets":[0],"expression":"(UDFToInteger(a.ctinyint) + length(b.cstring1))","edgeType":"PROJECTION"},{"sources":[3],"targets":[0],"expression":"UDFToLong(a.cint) is not null","edgeType":"PREDICATE"},{"sources":[3,4],"targets":[0],"expression":"(UDFToLong(a.cint) = b.cbigint)","edgeType":"PREDICATE"},{"sources":[4],"targets":[0],"expression":"b.cbigint is not null","edgeType":"PREDICATE"}],"vertices":[{"id":0,"vertexType":"COLUMN","vertexId":"default.d1.a"},{"id":1,"vertexType":"COLUMN","vertexId":"default.alltypesorc.ctinyint"},{"id":2,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cstring1"},{"id":3,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cint"},{"id":4,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cbigint"}]}
+{"version":"1.0","engine":"tez","database":"default","hash":"a1d51634883428cbc72084be0ec2e641","queryText":"from (select a.ctinyint x, b.cstring1 y\nfrom alltypesorc a join alltypesorc b on a.cint = b.cbigint) t_n20\ninsert into table d1 select x + length(y)","edges":[{"sources":[1,2],"targets":[0],"expression":"(UDFToInteger(a.ctinyint) + length(b.cstring1))","edgeType":"PROJECTION"},{"sources":[3],"targets":[0],"expression":"a.cint is not null","edgeType":"PREDICATE"},{"sources":[3,4],"targets":[0],"expression":"(UDFToLong(a.cint) = b.cbigint)","edgeType":"PREDICATE"},{"sources":[4],"targets":[0],"expression":"b.cbigint is not null","edgeType":"PREDICATE"}],"vertices":[{"id":0,"vertexType":"COLUMN","vertexId":"default.d1.a"},{"id":1,"vertexType":"COLUMN","vertexId":"default.alltypesorc.ctinyint"},{"id":2,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cstring1"},{"id":3,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cint"},{"id":4,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cbigint"}]}
PREHOOK: query: drop table if exists d2
PREHOOK: type: DROPTABLE
PREHOOK: Output: database:default
@@ -30,7 +30,7 @@ PREHOOK: Output: default@d1
PREHOOK: Output: default@d2
Result schema has 1 fields, but we don't get as many dependencies
Result schema has 1 fields, but we don't get as many dependencies
-{"version":"1.0","engine":"tez","database":"default","hash":"84e3cdc38011da5842162df175b2a494","queryText":"from (select a.ctinyint x, b.cstring1 y\nfrom alltypesorc a join alltypesorc b on a.cint = b.cbigint) t_n20\ninsert into table d1 select x where y is null\ninsert into table d2 select y where x > 0","edges":[{"sources":[2],"targets":[0],"expression":"UDFToInteger(x)","edgeType":"PROJECTION"},{"sources":[3],"targets":[0,1],"expression":"UDFToLong(a.cint) is not null","edgeType":"PREDICATE"},{"sources":[3,4],"targets":[0,1],"expression":"(UDFToLong(a.cint) = b.cbigint)","edgeType":"PREDICATE"},{"sources":[4],"targets":[0,1],"expression":"b.cbigint is not null","edgeType":"PREDICATE"},{"sources":[5],"targets":[0],"expression":"t_n20.y is null","edgeType":"PREDICATE"},{"sources":[5],"targets":[1],"expression":"CAST( y AS varchar(128))","edgeType":"PROJECTION"},{"sources":[2],"targets":[1],"expression":"(t_n20.x > 0Y)","edgeType":"PREDICATE"}],"vertices":[{"id":0,"vertexType":"COLUMN","vertexId":"default.d1.a"},{"id":1,"vertexType":"COLUMN","vertexId":"default.d2.b"},{"id":2,"vertexType":"COLUMN","vertexId":"default.alltypesorc.ctinyint"},{"id":3,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cint"},{"id":4,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cbigint"},{"id":5,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cstring1"}]}
+{"version":"1.0","engine":"tez","database":"default","hash":"84e3cdc38011da5842162df175b2a494","queryText":"from (select a.ctinyint x, b.cstring1 y\nfrom alltypesorc a join alltypesorc b on a.cint = b.cbigint) t_n20\ninsert into table d1 select x where y is null\ninsert into table d2 select y where x > 0","edges":[{"sources":[2],"targets":[0],"expression":"UDFToInteger(x)","edgeType":"PROJECTION"},{"sources":[3],"targets":[0,1],"expression":"a.cint is not null","edgeType":"PREDICATE"},{"sources":[3,4],"targets":[0,1],"expression":"(UDFToLong(a.cint) = b.cbigint)","edgeType":"PREDICATE"},{"sources":[4],"targets":[0,1],"expression":"b.cbigint is not null","edgeType":"PREDICATE"},{"sources":[5],"targets":[0],"expression":"t_n20.y is null","edgeType":"PREDICATE"},{"sources":[5],"targets":[1],"expression":"CAST( y AS varchar(128))","edgeType":"PROJECTION"},{"sources":[2],"targets":[1],"expression":"(t_n20.x > 0Y)","edgeType":"PREDICATE"}],"vertices":[{"id":0,"vertexType":"COLUMN","vertexId":"default.d1.a"},{"id":1,"vertexType":"COLUMN","vertexId":"default.d2.b"},{"id":2,"vertexType":"COLUMN","vertexId":"default.alltypesorc.ctinyint"},{"id":3,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cint"},{"id":4,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cbigint"},{"id":5,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cstring1"}]}
PREHOOK: query: drop table if exists t_n20
PREHOOK: type: DROPTABLE
PREHOOK: Output: database:default
@@ -96,7 +96,7 @@ order by a.ctinyint, a.cint
PREHOOK: type: QUERY
PREHOOK: Input: default@alltypesorc
#### A masked pattern was here ####
-{"version":"1.0","engine":"tez","database":"default","hash":"5e30ab16eecf1f308b78f727a59292c7","queryText":"select a.ctinyint, a.cint, count(a.cdouble)\n over(partition by a.ctinyint order by a.cint desc\n rows between 1 preceding and 1 following)\nfrom alltypesorc a inner join alltypesorc b on a.cint = b.cbigint\norder by a.ctinyint, a.cint","edges":[{"sources":[3],"targets":[0],"edgeType":"PROJECTION"},{"sources":[4],"targets":[1],"edgeType":"PROJECTION"},{"sources":[3,4,5],"targets":[2],"expression":"count(a.cdouble) over (partition by a.ctinyint order by a.cint desc ROWS between 1 preceding and 1 following)","edgeType":"PROJECTION"},{"sources":[4],"targets":[0,1,2],"expression":"UDFToLong(a.cint) is not null","edgeType":"PREDICATE"},{"sources":[4,6],"targets":[0,1,2],"expression":"(UDFToLong(a.cint) = b.cbigint)","edgeType":"PREDICATE"},{"sources":[6],"targets":[0,1,2],"expression":"b.cbigint is not null","edgeType":"PREDICATE"}],"vertices":[{"id":0,"vertexType":"COLUMN","vertexId":"a.ctinyint"},{"id":1,"vertexType":"COLUMN","vertexId":"a.cint"},{"id":2,"vertexType":"COLUMN","vertexId":"count_window_0"},{"id":3,"vertexType":"COLUMN","vertexId":"default.alltypesorc.ctinyint"},{"id":4,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cint"},{"id":5,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cdouble"},{"id":6,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cbigint"}]}
+{"version":"1.0","engine":"tez","database":"default","hash":"5e30ab16eecf1f308b78f727a59292c7","queryText":"select a.ctinyint, a.cint, count(a.cdouble)\n over(partition by a.ctinyint order by a.cint desc\n rows between 1 preceding and 1 following)\nfrom alltypesorc a inner join alltypesorc b on a.cint = b.cbigint\norder by a.ctinyint, a.cint","edges":[{"sources":[3],"targets":[0],"edgeType":"PROJECTION"},{"sources":[4],"targets":[1],"edgeType":"PROJECTION"},{"sources":[3,4,5],"targets":[2],"expression":"count(a.cdouble) over (partition by a.ctinyint order by a.cint desc ROWS between 1 preceding and 1 following)","edgeType":"PROJECTION"},{"sources":[4],"targets":[0,1,2],"expression":"a.cint is not null","edgeType":"PREDICATE"},{"sources":[4,6],"targets":[0,1,2],"expression":"(UDFToLong(a.cint) = b.cbigint)","edgeType":"PREDICATE"},{"sources":[6],"targets":[0,1,2],"expression":"b.cbigint is not null","edgeType":"PREDICATE"}],"vertices":[{"id":0,"vertexType":"COLUMN","vertexId":"a.ctinyint"},{"id":1,"vertexType":"COLUMN","vertexId":"a.cint"},{"id":2,"vertexType":"COLUMN","vertexId":"count_window_0"},{"id":3,"vertexType":"COLUMN","vertexId":"default.alltypesorc.ctinyint"},{"id":4,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cint"},{"id":5,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cdouble"},{"id":6,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cbigint"}]}
PREHOOK: query: with v2 as
(select cdouble, count(cint) over() a,
sum(cint + cbigint) over(partition by cboolean1) b
@@ -145,7 +145,7 @@ and x.ctinyint + length(c.cstring2) < 1000
PREHOOK: type: QUERY
PREHOOK: Input: default@alltypesorc
#### A masked pattern was here ####
-{"version":"1.0","engine":"tez","database":"default","hash":"15e00f9e88c1ad6b2f53a33a0c147f0e","queryText":"select x.ctinyint, x.cint, c.cbigint-100, c.cstring1\nfrom alltypesorc c\njoin (\n select a.ctinyint ctinyint, b.cint cint\n from (select * from alltypesorc a where cboolean1=false) a\n join alltypesorc b on (a.cint = b.cbigint - 224870380)\n ) x on (x.cint = c.cint)\nwhere x.ctinyint > 10\nand x.cint < 4.5\nand x.ctinyint + length(c.cstring2) < 1000","edges":[{"sources":[4],"targets":[0],"edgeType":"PROJECTION"},{"sources":[5],"targets":[1],"edgeType":"PROJECTION"},{"sources":[6],"targets":[2],"expression":"(c.cbigint - 100L)","edgeType":"PROJECTION"},{"sources":[7],"targets":[3],"edgeType":"PROJECTION"},{"sources":[5],"targets":[0,1,2,3],"expression":"(CAST( c.cint AS decimal(11,1)) < 4.5)","edgeType":"PREDICATE"},{"sources":[5],"targets":[0,1,2,3],"expression":"(c.cint = b.cint)","edgeType":"PREDICATE"},{"sources":[6,5],"targets":[0,1,2,3],"expression":"(b.cbigint is not null and (CAST( b.cint AS decimal(11,1)) < 4.5))","edgeType":"PREDICATE"},{"sources":[6,5],"targets":[0,1,2,3],"expression":"((b.cbigint - 224870380L) = UDFToLong(a.cint))","edgeType":"PREDICATE"},{"sources":[4,8,5],"targets":[0,1,2,3],"expression":"((a.ctinyint > 10Y) and (not a.cboolean1) and UDFToLong(a.cint) is not null)","edgeType":"PREDICATE"}],"vertices":[{"id":0,"vertexType":"COLUMN","vertexId":"x.ctinyint"},{"id":1,"vertexType":"COLUMN","vertexId":"x.cint"},{"id":2,"vertexType":"COLUMN","vertexId":"_c2"},{"id":3,"vertexType":"COLUMN","vertexId":"c.cstring1"},{"id":4,"vertexType":"COLUMN","vertexId":"default.alltypesorc.ctinyint"},{"id":5,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cint"},{"id":6,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cbigint"},{"id":7,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cstring1"},{"id":8,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cboolean1"}]}
+{"version":"1.0","engine":"tez","database":"default","hash":"15e00f9e88c1ad6b2f53a33a0c147f0e","queryText":"select x.ctinyint, x.cint, c.cbigint-100, c.cstring1\nfrom alltypesorc c\njoin (\n select a.ctinyint ctinyint, b.cint cint\n from (select * from alltypesorc a where cboolean1=false) a\n join alltypesorc b on (a.cint = b.cbigint - 224870380)\n ) x on (x.cint = c.cint)\nwhere x.ctinyint > 10\nand x.cint < 4.5\nand x.ctinyint + length(c.cstring2) < 1000","edges":[{"sources":[4],"targets":[0],"edgeType":"PROJECTION"},{"sources":[5],"targets":[1],"edgeType":"PROJECTION"},{"sources":[6],"targets":[2],"expression":"(c.cbigint - 100L)","edgeType":"PROJECTION"},{"sources":[7],"targets":[3],"edgeType":"PROJECTION"},{"sources":[6,5],"targets":[0,1,2,3],"expression":"(b.cbigint is not null and (CAST( b.cint AS decimal(11,1)) < 4.5))","edgeType":"PREDICATE"},{"sources":[6,5],"targets":[0,1,2,3],"expression":"((b.cbigint - 224870380L) = UDFToLong(a.cint))","edgeType":"PREDICATE"},{"sources":[4,5,8],"targets":[0,1,2,3],"expression":"((a.ctinyint > 10Y) and a.cint is not null and (not a.cboolean1))","edgeType":"PREDICATE"},{"sources":[5],"targets":[0,1,2,3],"expression":"(b.cint = c.cint)","edgeType":"PREDICATE"},{"sources":[5],"targets":[0,1,2,3],"expression":"(CAST( c.cint AS decimal(11,1)) < 4.5)","edgeType":"PREDICATE"}],"vertices":[{"id":0,"vertexType":"COLUMN","vertexId":"x.ctinyint"},{"id":1,"vertexType":"COLUMN","vertexId":"x.cint"},{"id":2,"vertexType":"COLUMN","vertexId":"_c2"},{"id":3,"vertexType":"COLUMN","vertexId":"c.cstring1"},{"id":4,"vertexType":"COLUMN","vertexId":"default.alltypesorc.ctinyint"},{"id":5,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cint"},{"id":6,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cbigint"},{"id":7,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cstring1"},{"id":8,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cboolean1"}]}
11 -654374827 857266369 OEfPnHnIYueoup
PREHOOK: query: select c1, x2, x3
from (
@@ -176,7 +176,7 @@ where key in (select key+18 from src1) order by key
PREHOOK: type: QUERY
PREHOOK: Input: default@src1
#### A masked pattern was here ####
-{"version":"1.0","engine":"tez","database":"default","hash":"06c63ecdebcc1ca975a34b0fe1b4bf38","queryText":"select key, value from src1\nwhere key in (select key+18 from src1) order by key","edges":[{"sources":[2],"targets":[0],"edgeType":"PROJECTION"},{"sources":[3],"targets":[1],"edgeType":"PROJECTION"},{"sources":[2],"targets":[0,1],"expression":"UDFToDouble(src1.key) is not null","edgeType":"PREDICATE"},{"sources":[2],"targets":[0,1],"expression":"(UDFToDouble(src1.key) = (UDFToDouble(src1.key) + 18.0D))","edgeType":"PREDICATE"}],"vertices":[{"id":0,"vertexType":"COLUMN","vertexId":"key"},{"id":1,"vertexType":"COLUMN","vertexId":"value"},{"id":2,"vertexType":"COLUMN","vertexId":"default.src1.key"},{"id":3,"vertexType":"COLUMN","vertexId":"default.src1.value"}]}
+{"version":"1.0","engine":"tez","database":"default","hash":"06c63ecdebcc1ca975a34b0fe1b4bf38","queryText":"select key, value from src1\nwhere key in (select key+18 from src1) order by key","edges":[{"sources":[2],"targets":[0],"edgeType":"PROJECTION"},{"sources":[3],"targets":[1],"edgeType":"PROJECTION"},{"sources":[2],"targets":[0,1],"expression":"UDFToDouble(src1.key) is not null","edgeType":"PREDICATE"},{"sources":[2],"targets":[0,1],"expression":"(UDFToDouble(src1.key) = (UDFToDouble(src1.key) + 18.0D))","edgeType":"PREDICATE"},{"sources":[2],"targets":[0,1],"expression":"(UDFToDouble(src1.key) + 18.0D) is not null","edgeType":"PREDICATE"}],"vertices":[{"id":0,"vertexType":"COLUMN","vertexId":"key"},{"id":1,"vertexType":"COLUMN","vertexId":"value"},{"id":2,"vertexType":"COLUMN","vertexId":"default.src1.key"},{"id":3,"vertexType":"COLUMN","vertexId":"default.src1.value"}]}
146 val_146
273 val_273
PREHOOK: query: select * from src1 a
@@ -188,7 +188,7 @@ PREHOOK: type: QUERY
PREHOOK: Input: default@alltypesorc
PREHOOK: Input: default@src1
#### A masked pattern was here ####
-{"version":"1.0","engine":"tez","database":"default","hash":"94e9cc0a67801fe1503a3cb0c5029d59","queryText":"select * from src1 a\nwhere exists\n (select cint from alltypesorc b\n where a.key = b.ctinyint + 300)\nand key > 300","edges":[{"sources":[2],"targets":[0],"edgeType":"PROJECTION"},{"sources":[3],"targets":[1],"edgeType":"PROJECTION"},{"sources":[2],"targets":[0,1],"expression":"(UDFToDouble(a.key) > 300.0D)","edgeType":"PREDICATE"},{"sources":[2,4],"targets":[0,1],"expression":"(UDFToDouble(a.key) = UDFToDouble((UDFToInteger(b.ctinyint) + 300)))","edgeType":"PREDICATE"},{"sources":[4],"targets":[0,1],"expression":"UDFToDouble((UDFToInteger(b.ctinyint) + 300)) is not null","edgeType":"PREDICATE"}],"vertices":[{"id":0,"vertexType":"COLUMN","vertexId":"a.key"},{"id":1,"vertexType":"COLUMN","vertexId":"a.value"},{"id":2,"vertexType":"COLUMN","vertexId":"default.src1.key"},{"id":3,"vertexType":"COLUMN","vertexId":"default.src1.value"},{"id":4,"vertexType":"COLUMN","vertexId":"default.alltypesorc.ctinyint"}]}
+{"version":"1.0","engine":"tez","database":"default","hash":"94e9cc0a67801fe1503a3cb0c5029d59","queryText":"select * from src1 a\nwhere exists\n (select cint from alltypesorc b\n where a.key = b.ctinyint + 300)\nand key > 300","edges":[{"sources":[2],"targets":[0],"edgeType":"PROJECTION"},{"sources":[3],"targets":[1],"edgeType":"PROJECTION"},{"sources":[2],"targets":[0,1],"expression":"(UDFToDouble(a.key) > 300.0D)","edgeType":"PREDICATE"},{"sources":[2,4],"targets":[0,1],"expression":"(UDFToDouble(a.key) = UDFToDouble((UDFToInteger(b.ctinyint) + 300)))","edgeType":"PREDICATE"},{"sources":[4],"targets":[0,1],"expression":"b.ctinyint is not null","edgeType":"PREDICATE"}],"vertices":[{"id":0,"vertexType":"COLUMN","vertexId":"a.key"},{"id":1,"vertexType":"COLUMN","vertexId":"a.value"},{"id":2,"vertexType":"COLUMN","vertexId":"default.src1.key"},{"id":3,"vertexType":"COLUMN","vertexId":"default.src1.value"},{"id":4,"vertexType":"COLUMN","vertexId":"default.alltypesorc.ctinyint"}]}
311 val_311
Warning: Shuffle Join MERGEJOIN[37][tables = [$hdt$_0, $hdt$_1, $hdt$_2]] in Stage 'Reducer 3' is a cross product
PREHOOK: query: select key, value from src1
@@ -196,7 +196,7 @@ where key not in (select key+18 from src1) order by key
PREHOOK: type: QUERY
PREHOOK: Input: default@src1
#### A masked pattern was here ####
-{"version":"1.0","engine":"tez","database":"default","hash":"cbc4367150807328dda0f1cf4c74b811","queryText":"select key, value from src1\nwhere key not in (select key+18 from src1) order by key","edges":[{"sources":[2],"targets":[0],"edgeType":"PROJECTION"},{"sources":[3],"targets":[1],"edgeType":"PROJECTION"},{"sources":[2],"targets":[0,1],"expression":"(UDFToDouble(src1.key) = (UDFToDouble(src1.key) + 18.0D))","edgeType":"PREDICATE"},{"sources":[2],"targets":[0,1],"expression":"UDFToDouble(src1.key) is not null","edgeType":"PREDICATE"},{"sources":[4,2],"targets":[0,1],"expression":"((count(*) = 0L) or (true is null and (count((UDFToDouble(src1.key) + 18.0D)) >= count(*)) and src1.key is not null))","edgeType":"PREDICATE"}],"vertices":[{"id":0,"vertexType":"COLUMN","vertexId":"key"},{"id":1,"vertexType":"COLUMN","vertexId":"value"},{"id":2,"vertexType":"COLUMN","vertexId":"default.src1.key"},{"id":3,"vertexType":"COLUMN","vertexId":"default.src1.value"},{"id":4,"vertexType":"TABLE","vertexId":"default.src1"}]}
+{"version":"1.0","engine":"tez","database":"default","hash":"cbc4367150807328dda0f1cf4c74b811","queryText":"select key, value from src1\nwhere key not in (select key+18 from src1) order by key","edges":[{"sources":[2],"targets":[0],"edgeType":"PROJECTION"},{"sources":[3],"targets":[1],"edgeType":"PROJECTION"},{"sources":[2],"targets":[0,1],"expression":"(UDFToDouble(src1.key) = (UDFToDouble(src1.key) + 18.0D))","edgeType":"PREDICATE"},{"sources":[2],"targets":[0,1],"expression":"(UDFToDouble(src1.key) + 18.0D) is not null","edgeType":"PREDICATE"},{"sources":[4,2],"targets":[0,1],"expression":"((count(*) = 0L) or (true is null and (count((UDFToDouble(src1.key) + 18.0D)) >= count(*)) and src1.key is not null))","edgeType":"PREDICATE"}],"vertices":[{"id":0,"vertexType":"COLUMN","vertexId":"key"},{"id":1,"vertexType":"COLUMN","vertexId":"value"},{"id":2,"vertexType":"COLUMN","vertexId":"default.src1.key"},{"id":3,"vertexType":"COLUMN","vertexId":"default.src1.value"},{"id":4,"vertexType":"TABLE","vertexId":"default.src1"}]}
PREHOOK: query: select * from src1 a
where not exists
(select cint from alltypesorc b
@@ -206,7 +206,7 @@ PREHOOK: type: QUERY
PREHOOK: Input: default@alltypesorc
PREHOOK: Input: default@src1
#### A masked pattern was here ####
-{"version":"1.0","engine":"tez","database":"default","hash":"723e79692e1de404c4ffb702097586da","queryText":"select * from src1 a\nwhere not exists\n (select cint from alltypesorc b\n where a.key = b.ctinyint + 300)\nand key > 300","edges":[{"sources":[2],"targets":[0],"edgeType":"PROJECTION"},{"sources":[3],"targets":[1],"edgeType":"PROJECTION"},{"sources":[2],"targets":[0,1],"expression":"(UDFToDouble(a.key) > 300.0D)","edgeType":"PREDICATE"},{"sources":[2,4],"targets":[0,1],"expression":"(UDFToDouble(a.key) = UDFToDouble((UDFToInteger(b.ctinyint) + 300)))","edgeType":"PREDICATE"},{"sources":[4],"targets":[0,1],"expression":"UDFToDouble((UDFToInteger(b.ctinyint) + 300)) is not null","edgeType":"PREDICATE"}],"vertices":[{"id":0,"vertexType":"COLUMN","vertexId":"a.key"},{"id":1,"vertexType":"COLUMN","vertexId":"a.value"},{"id":2,"vertexType":"COLUMN","vertexId":"default.src1.key"},{"id":3,"vertexType":"COLUMN","vertexId":"default.src1.value"},{"id":4,"vertexType":"COLUMN","vertexId":"default.alltypesorc.ctinyint"}]}
+{"version":"1.0","engine":"tez","database":"default","hash":"723e79692e1de404c4ffb702097586da","queryText":"select * from src1 a\nwhere not exists\n (select cint from alltypesorc b\n where a.key = b.ctinyint + 300)\nand key > 300","edges":[{"sources":[2],"targets":[0],"edgeType":"PROJECTION"},{"sources":[3],"targets":[1],"edgeType":"PROJECTION"},{"sources":[2],"targets":[0,1],"expression":"(UDFToDouble(a.key) > 300.0D)","edgeType":"PREDICATE"},{"sources":[2,4],"targets":[0,1],"expression":"(UDFToDouble(a.key) = UDFToDouble((UDFToInteger(b.ctinyint) + 300)))","edgeType":"PREDICATE"},{"sources":[4],"targets":[0,1],"expression":"b.ctinyint is not null","edgeType":"PREDICATE"}],"vertices":[{"id":0,"vertexType":"COLUMN","vertexId":"a.key"},{"id":1,"vertexType":"COLUMN","vertexId":"a.value"},{"id":2,"vertexType":"COLUMN","vertexId":"default.src1.key"},{"id":3,"vertexType":"COLUMN","vertexId":"default.src1.value"},{"id":4,"vertexType":"COLUMN","vertexId":"default.alltypesorc.ctinyint"}]}
369
401 val_401
406 val_406
@@ -307,7 +307,7 @@ PREHOOK: type: CREATEVIEW
PREHOOK: Input: default@alltypesorc
PREHOOK: Output: database:default
PREHOOK: Output: default@dest_v3
-{"version":"1.0","engine":"tez","database":"default","hash":"9848a9a38a4f6f031dc669e7e495f9ee","queryText":"create view dest_v3 (a1, a2, a3, a4, a5, a6, a7) as\n select x.csmallint, x.cbigint bint1, x.ctinyint, c.cbigint bint2, x.cint, x.cfloat, c.cstring1\n from alltypesorc c\n join (\n select a.csmallint csmallint, a.ctinyint ctinyint, a.cstring2 cstring2,\n a.cint cint, a.cstring1 ctring1, b.cfloat cfloat, b.cbigint cbigint\n from ( select * from alltypesorc a where cboolean1=true ) a\n join alltypesorc b on (a.csmallint = b.cint)\n ) x on (x.ctinyint = c.cbigint)\n where x.csmallint=11\n and x.cint > 899\n and x.cfloat > 4.5\n and c.cstring1 < '7'\n and x.cint + x.cfloat + length(c.cstring1) < 1000","edges":[{"sources":[],"targets":[0],"expression":"11S","edgeType":"PROJECTION"},{"sources":[7],"targets":[1,2],"edgeType":"PROJECTION"},{"sources":[8],"targets":[3],"edgeType":"PROJECTION"},{"sources":[9],"targets":[4],"edgeType":"PROJECTION"},{"sources":[10],"targets":[5],"edgeType":"PROJECTION"},{"sources":[11],"targets":[6],"edgeType":"PROJECTION"},{"sources":[7,11],"targets":[0,1,3,2,4,5,6],"expression":"(c.cbigint is not null and (c.cstring1 < '7'))","edgeType":"PREDICATE"},{"sources":[7,8],"targets":[0,1,3,2,4,5,6],"expression":"(c.cbigint = UDFToLong(a.ctinyint))","edgeType":"PREDICATE"},{"sources":[12,13,9,8],"targets":[0,1,3,2,4,5,6],"expression":"(a.cboolean1 and (a.csmallint = 11S) and (a.cint > 899) and UDFToInteger(a.csmallint) is not null and UDFToLong(a.ctinyint) is not null)","edgeType":"PREDICATE"},{"sources":[9,10],"targets":[0,1,3,2,4,5,6],"expression":"((b.cint = 11) and (b.cfloat > 4.5))","edgeType":"PREDICATE"}],"vertices":[{"id":0,"vertexType":"COLUMN","vertexId":"default.dest_v3.a1"},{"id":1,"vertexType":"COLUMN","vertexId":"default.dest_v3.a2"},{"id":2,"vertexType":"COLUMN","vertexId":"default.dest_v3.a4"},{"id":3,"vertexType":"COLUMN","vertexId":"default.dest_v3.a3"},{"id":4,"vertexType":"COLUMN","vertexId":"default.dest_v3.a5"},{"id":5,"vertexType":"COLUMN","vertexId":"default.dest_v3.a6"},{"id":6,"vertexType":"COLUMN","vertexId":"default.dest_v3.a7"},{"id":7,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cbigint"},{"id":8,"vertexType":"COLUMN","vertexId":"default.alltypesorc.ctinyint"},{"id":9,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cint"},{"id":10,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cfloat"},{"id":11,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cstring1"},{"id":12,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cboolean1"},{"id":13,"vertexType":"COLUMN","vertexId":"default.alltypesorc.csmallint"}]}
+{"version":"1.0","engine":"tez","database":"default","hash":"9848a9a38a4f6f031dc669e7e495f9ee","queryText":"create view dest_v3 (a1, a2, a3, a4, a5, a6, a7) as\n select x.csmallint, x.cbigint bint1, x.ctinyint, c.cbigint bint2, x.cint, x.cfloat, c.cstring1\n from alltypesorc c\n join (\n select a.csmallint csmallint, a.ctinyint ctinyint, a.cstring2 cstring2,\n a.cint cint, a.cstring1 ctring1, b.cfloat cfloat, b.cbigint cbigint\n from ( select * from alltypesorc a where cboolean1=true ) a\n join alltypesorc b on (a.csmallint = b.cint)\n ) x on (x.ctinyint = c.cbigint)\n where x.csmallint=11\n and x.cint > 899\n and x.cfloat > 4.5\n and c.cstring1 < '7'\n and x.cint + x.cfloat + length(c.cstring1) < 1000","edges":[{"sources":[],"targets":[0],"expression":"11S","edgeType":"PROJECTION"},{"sources":[7],"targets":[1,2],"edgeType":"PROJECTION"},{"sources":[8],"targets":[3],"edgeType":"PROJECTION"},{"sources":[9],"targets":[4],"edgeType":"PROJECTION"},{"sources":[10],"targets":[5],"edgeType":"PROJECTION"},{"sources":[11],"targets":[6],"edgeType":"PROJECTION"},{"sources":[7,11],"targets":[0,1,3,2,4,5,6],"expression":"(c.cbigint is not null and (c.cstring1 < '7'))","edgeType":"PREDICATE"},{"sources":[7,8],"targets":[0,1,3,2,4,5,6],"expression":"(c.cbigint = UDFToLong(a.ctinyint))","edgeType":"PREDICATE"},{"sources":[12,13,8,9],"targets":[0,1,3,2,4,5,6],"expression":"(a.cboolean1 and (a.csmallint = 11S) and a.ctinyint is not null and (a.cint > 899))","edgeType":"PREDICATE"},{"sources":[9,10],"targets":[0,1,3,2,4,5,6],"expression":"((b.cint = 11) and (b.cfloat > 4.5))","edgeType":"PREDICATE"}],"vertices":[{"id":0,"vertexType":"COLUMN","vertexId":"default.dest_v3.a1"},{"id":1,"vertexType":"COLUMN","vertexId":"default.dest_v3.a2"},{"id":2,"vertexType":"COLUMN","vertexId":"default.dest_v3.a4"},{"id":3,"vertexType":"COLUMN","vertexId":"default.dest_v3.a3"},{"id":4,"vertexType":"COLUMN","vertexId":"default.dest_v3.a5"},{"id":5,"vertexType":"COLUMN","vertexId":"default.dest_v3.a6"},{"id":6,"vertexType":"COLUMN","vertexId":"default.dest_v3.a7"},{"id":7,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cbigint"},{"id":8,"vertexType":"COLUMN","vertexId":"default.alltypesorc.ctinyint"},{"id":9,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cint"},{"id":10,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cfloat"},{"id":11,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cstring1"},{"id":12,"vertexType":"COLUMN","vertexId":"default.alltypesorc.cboolean1"},{"id":13,"vertexType":"COLUMN","vertexId":"default.alltypesorc.csmallint"}]}
PREHOOK: query: alter view dest_v3 as
select * from (
select sum(a.ctinyint) over (partition by a.csmallint order by a.csmallint) a,
@@ -419,7 +419,7 @@ PREHOOK: type: QUERY
PREHOOK: Input: default@alltypesorc
PREHOOK: Input: default@src1
#### A masked pattern was here ####
-{"version":"1.0","engine":"tez","database":"default","hash":"723e79692e1de404c4ffb702097586da","queryText":"select * from src1 a\nwhere not exists\n (select cint from alltypesorc b\n where a.key = b.ctinyint + 300)\nand key > 300","edges":[{"sources":[2],"targets":[0],"edgeType":"PROJECTION"},{"sources":[3],"targets":[1],"edgeType":"PROJECTION"},{"sources":[2],"targets":[0,1],"expression":"(UDFToDouble(a.key) > 300.0D)","edgeType":"PREDICATE"},{"sources":[2,4],"targets":[0,1],"expression":"(UDFToDouble(a.key) = UDFToDouble((UDFToInteger(b.ctinyint) + 300)))","edgeType":"PREDICATE"},{"sources":[4],"targets":[0,1],"expression":"UDFToDouble((UDFToInteger(b.ctinyint) + 300)) is not null","edgeType":"PREDICATE"},{"sources":[],"targets":[0,1],"expression":"true is null","edgeType":"PREDICATE"}],"vertices":[{"id":0,"vertexType":"COLUMN","vertexId":"a.key"},{"id":1,"vertexType":"COLUMN","vertexId":"a.value"},{"id":2,"vertexType":"COLUMN","vertexId":"default.src1.key"},{"id":3,"vertexType":"COLUMN","vertexId":"default.src1.value"},{"id":4,"vertexType":"COLUMN","vertexId":"default.alltypesorc.ctinyint"}]}
+{"version":"1.0","engine":"tez","database":"default","hash":"723e79692e1de404c4ffb702097586da","queryText":"select * from src1 a\nwhere not exists\n (select cint from alltypesorc b\n where a.key = b.ctinyint + 300)\nand key > 300","edges":[{"sources":[2],"targets":[0],"edgeType":"PROJECTION"},{"sources":[3],"targets":[1],"edgeType":"PROJECTION"},{"sources":[2],"targets":[0,1],"expression":"(UDFToDouble(a.key) > 300.0D)","edgeType":"PREDICATE"},{"sources":[2,4],"targets":[0,1],"expression":"(UDFToDouble(a.key) = UDFToDouble((UDFToInteger(b.ctinyint) + 300)))","edgeType":"PREDICATE"},{"sources":[4],"targets":[0,1],"expression":"b.ctinyint is not null","edgeType":"PREDICATE"},{"sources":[],"targets":[0,1],"expression":"true is null","edgeType":"PREDICATE"}],"vertices":[{"id":0,"vertexType":"COLUMN","vertexId":"a.key"},{"id":1,"vertexType":"COLUMN","vertexId":"a.value"},{"id":2,"vertexType":"COLUMN","vertexId":"default.src1.key"},{"id":3,"vertexType":"COLUMN","vertexId":"default.src1.value"},{"id":4,"vertexType":"COLUMN","vertexId":"default.alltypesorc.ctinyint"}]}
369
401 val_401
406 val_406
diff --git a/ql/src/test/results/clientpositive/llap/list_bucket_dml_6.q.out b/ql/src/test/results/clientpositive/llap/list_bucket_dml_6.q.out
index dbcf49b202e7..77031e619ae3 100644
--- a/ql/src/test/results/clientpositive/llap/list_bucket_dml_6.q.out
+++ b/ql/src/test/results/clientpositive/llap/list_bucket_dml_6.q.out
@@ -29,7 +29,7 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: default@srcpart
POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=11
POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=12
-OPTIMIZED SQL: SELECT `key`, `value`, CAST(CASE WHEN CAST(`key` AS DOUBLE) % 100 = 0 THEN 'a1' ELSE 'b1' END AS STRING) AS `_c2`
+OPTIMIZED SQL: SELECT `key`, `value`, CAST(CASE WHEN CAST(`key` AS DOUBLE) % 1.000E2 = 0E0 THEN 'a1' ELSE 'b1' END AS STRING) AS `_c2`
FROM `default`.`srcpart`
WHERE `ds` = '2008-04-08'
STAGE DEPENDENCIES:
@@ -394,7 +394,7 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: default@srcpart
POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=11
POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=12
-OPTIMIZED SQL: SELECT `key`, `value`, CAST(CASE WHEN CAST(`key` AS DOUBLE) % 100 = 0 THEN 'a1' ELSE 'b1' END AS STRING) AS `_c2`
+OPTIMIZED SQL: SELECT `key`, `value`, CAST(CASE WHEN CAST(`key` AS DOUBLE) % 1.000E2 = 0E0 THEN 'a1' ELSE 'b1' END AS STRING) AS `_c2`
FROM `default`.`srcpart`
WHERE `ds` = '2008-04-08'
STAGE DEPENDENCIES:
diff --git a/ql/src/test/results/clientpositive/llap/list_bucket_dml_7.q.out b/ql/src/test/results/clientpositive/llap/list_bucket_dml_7.q.out
index ad7051398156..4acd155d78ba 100644
--- a/ql/src/test/results/clientpositive/llap/list_bucket_dml_7.q.out
+++ b/ql/src/test/results/clientpositive/llap/list_bucket_dml_7.q.out
@@ -29,7 +29,7 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: default@srcpart
POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=11
POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=12
-OPTIMIZED SQL: SELECT `key`, `value`, CAST(CASE WHEN CAST(`key` AS DOUBLE) % 100 = 0 THEN 'a1' ELSE 'b1' END AS STRING) AS `_c2`
+OPTIMIZED SQL: SELECT `key`, `value`, CAST(CASE WHEN CAST(`key` AS DOUBLE) % 1.000E2 = 0E0 THEN 'a1' ELSE 'b1' END AS STRING) AS `_c2`
FROM `default`.`srcpart`
WHERE `ds` = '2008-04-08'
STAGE DEPENDENCIES:
@@ -394,7 +394,7 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: default@srcpart
POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=11
POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=12
-OPTIMIZED SQL: SELECT `key`, `value`, CAST(CASE WHEN CAST(`key` AS DOUBLE) % 100 = 0 THEN 'a1' ELSE 'b1' END AS STRING) AS `_c2`
+OPTIMIZED SQL: SELECT `key`, `value`, CAST(CASE WHEN CAST(`key` AS DOUBLE) % 1.000E2 = 0E0 THEN 'a1' ELSE 'b1' END AS STRING) AS `_c2`
FROM `default`.`srcpart`
WHERE `ds` = '2008-04-08'
STAGE DEPENDENCIES:
diff --git a/ql/src/test/results/clientpositive/llap/list_bucket_dml_8.q.out b/ql/src/test/results/clientpositive/llap/list_bucket_dml_8.q.out
index 148303926d66..6262641b6c84 100644
--- a/ql/src/test/results/clientpositive/llap/list_bucket_dml_8.q.out
+++ b/ql/src/test/results/clientpositive/llap/list_bucket_dml_8.q.out
@@ -29,7 +29,7 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: default@srcpart
POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=11
POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=12
-OPTIMIZED SQL: SELECT `key`, `value`, CAST(CASE WHEN CAST(`key` AS DOUBLE) % 100 = 0 THEN 'a1' ELSE 'b1' END AS STRING) AS `_c2`
+OPTIMIZED SQL: SELECT `key`, `value`, CAST(CASE WHEN CAST(`key` AS DOUBLE) % 1.000E2 = 0E0 THEN 'a1' ELSE 'b1' END AS STRING) AS `_c2`
FROM `default`.`srcpart`
WHERE `ds` = '2008-04-08'
STAGE DEPENDENCIES:
diff --git a/ql/src/test/results/clientpositive/llap/louter_join_ppr.q.out b/ql/src/test/results/clientpositive/llap/louter_join_ppr.q.out
index 695a3b4b4561..4e2f1e2245d2 100644
--- a/ql/src/test/results/clientpositive/llap/louter_join_ppr.q.out
+++ b/ql/src/test/results/clientpositive/llap/louter_join_ppr.q.out
@@ -29,10 +29,10 @@ POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=12
OPTIMIZED SQL: SELECT `t0`.`key` AS `a.key`, `t0`.`value` AS `a.value`, `t2`.`key` AS `b.key`, `t2`.`value` AS `b.value`
FROM (SELECT `key`, `value`
FROM `default`.`src`
-WHERE `key` > 15 AND `key` < 20 AND `key` IS NOT NULL) AS `t0`
+WHERE `key` > 1.50E1 AND `key` < 2.00E1) AS `t0`
INNER JOIN (SELECT `key`, `value`
FROM `default`.`srcpart`
-WHERE `key` > 15 AND `key` < 20 AND `ds` = '2008-04-08' AND `key` IS NOT NULL) AS `t2` ON `t0`.`key` = `t2`.`key`
+WHERE `key` > 1.50E1 AND `key` < 2.00E1 AND `ds` = '2008-04-08') AS `t2` ON `t0`.`key` = `t2`.`key`
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -331,10 +331,10 @@ POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=12
OPTIMIZED SQL: SELECT `t0`.`key` AS `a.key`, `t0`.`value` AS `a.value`, `t2`.`key` AS `b.key`, `t2`.`value` AS `b.value`
FROM (SELECT `key`, `value`
FROM `default`.`srcpart`
-WHERE `key` > 15 AND `key` < 20 AND `ds` = '2008-04-08' AND `key` IS NOT NULL) AS `t0`
+WHERE `key` > 1.50E1 AND `key` < 2.00E1 AND `ds` = '2008-04-08') AS `t0`
INNER JOIN (SELECT `key`, `value`
FROM `default`.`src`
-WHERE `key` > 15 AND `key` < 20 AND `key` IS NOT NULL) AS `t2` ON `t0`.`key` = `t2`.`key`
+WHERE `key` > 1.50E1 AND `key` < 2.00E1) AS `t2` ON `t0`.`key` = `t2`.`key`
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -633,10 +633,10 @@ POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=12
OPTIMIZED SQL: SELECT `t0`.`key` AS `a.key`, `t0`.`value` AS `a.value`, `t2`.`key` AS `b.key`, `t2`.`value` AS `b.value`
FROM (SELECT `key`, `value`
FROM `default`.`src`
-WHERE `key` > 15 AND `key` < 20 AND `key` IS NOT NULL) AS `t0`
+WHERE `key` > 1.50E1 AND `key` < 2.00E1) AS `t0`
INNER JOIN (SELECT `key`, `value`
FROM `default`.`srcpart`
-WHERE `key` > 15 AND `key` < 20 AND `ds` = '2008-04-08' AND `key` IS NOT NULL) AS `t2` ON `t0`.`key` = `t2`.`key`
+WHERE `key` > 1.50E1 AND `key` < 2.00E1 AND `ds` = '2008-04-08') AS `t2` ON `t0`.`key` = `t2`.`key`
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -935,10 +935,10 @@ POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=12
OPTIMIZED SQL: SELECT `t0`.`key` AS `a.key`, `t0`.`value` AS `a.value`, `t2`.`key` AS `b.key`, `t2`.`value` AS `b.value`
FROM (SELECT `key`, `value`
FROM `default`.`srcpart`
-WHERE `key` > 15 AND `key` < 20 AND `ds` = '2008-04-08' AND `key` IS NOT NULL) AS `t0`
+WHERE `key` > 1.50E1 AND `key` < 2.00E1 AND `ds` = '2008-04-08') AS `t0`
INNER JOIN (SELECT `key`, `value`
FROM `default`.`src`
-WHERE `key` > 15 AND `key` < 20 AND `key` IS NOT NULL) AS `t2` ON `t0`.`key` = `t2`.`key`
+WHERE `key` > 1.50E1 AND `key` < 2.00E1) AS `t2` ON `t0`.`key` = `t2`.`key`
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
diff --git a/ql/src/test/results/clientpositive/llap/macro.q.out b/ql/src/test/results/clientpositive/llap/macro.q.out
index 01cdb2e04f2f..ee1e7885e64d 100644
--- a/ql/src/test/results/clientpositive/llap/macro.q.out
+++ b/ql/src/test/results/clientpositive/llap/macro.q.out
@@ -46,7 +46,7 @@ POSTHOOK: query: EXPLAIN EXTENDED SELECT SIGMOID(2) FROM src LIMIT 1
POSTHOOK: type: QUERY
POSTHOOK: Input: default@src
#### A masked pattern was here ####
-OPTIMIZED SQL: SELECT CAST(0.8807970779778823 AS DOUBLE) AS `_c0`
+OPTIMIZED SQL: SELECT CAST(8.807970779778823E-1 AS DOUBLE) AS `_c0`
FROM `default`.`src`
LIMIT 1
STAGE DEPENDENCIES:
diff --git a/ql/src/test/results/clientpositive/llap/masking_1.q.out b/ql/src/test/results/clientpositive/llap/masking_1.q.out
index fe6d395dafcb..4bb9fb019a4a 100644
--- a/ql/src/test/results/clientpositive/llap/masking_1.q.out
+++ b/ql/src/test/results/clientpositive/llap/masking_1.q.out
@@ -195,10 +195,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: masking_test_n8
- filterExpr: ((key < 10) and ((key % 2) = 0) and UDFToDouble(key) is not null) (type: boolean)
+ filterExpr: ((key < 10) and ((key % 2) = 0)) (type: boolean)
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((key < 10) and ((key % 2) = 0) and UDFToDouble(key) is not null) (type: boolean)
+ predicate: ((key < 10) and ((key % 2) = 0)) (type: boolean)
Statistics: Num rows: 5 Data size: 475 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: int), reverse(value) (type: string), UDFToDouble(key) (type: double)
diff --git a/ql/src/test/results/clientpositive/llap/masking_12.q.out b/ql/src/test/results/clientpositive/llap/masking_12.q.out
index a216e85100bd..01520eeb8184 100644
--- a/ql/src/test/results/clientpositive/llap/masking_12.q.out
+++ b/ql/src/test/results/clientpositive/llap/masking_12.q.out
@@ -115,7 +115,7 @@ HiveSortLimit(fetch=[20])
HiveProject(v1_n9.key=[$0], v1_n9.value=[$1])
HiveSemiJoin(condition=[AND(=($0, $3), =($4, $2))], joinType=[semi])
HiveProject(key=[$0], value=[$1], key1=[CAST($0):DOUBLE])
- HiveFilter(condition=[IS NOT NULL(CAST($0):DOUBLE)])
+ HiveFilter(condition=[IS NOT NULL($0)])
HiveTableScan(table=[[default, masking_test_subq_n1]], table:alias=[masking_test_subq_n1])
HiveProject(key=[$0], key0=[CAST($0):DOUBLE])
HiveFilter(condition=[AND(IS NOT NULL(CAST($0):DOUBLE), IS NOT NULL($0))])
@@ -153,12 +153,12 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: masking_test_subq_n1
- filterExpr: UDFToDouble(key) is not null (type: boolean)
+ filterExpr: key is not null (type: boolean)
properties:
insideView TRUE
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: UDFToDouble(key) is not null (type: boolean)
+ predicate: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: int), value (type: string), UDFToDouble(key) (type: double)
diff --git a/ql/src/test/results/clientpositive/llap/masking_2.q.out b/ql/src/test/results/clientpositive/llap/masking_2.q.out
index 4a7558349931..a72ba6314b11 100644
--- a/ql/src/test/results/clientpositive/llap/masking_2.q.out
+++ b/ql/src/test/results/clientpositive/llap/masking_2.q.out
@@ -218,12 +218,12 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: src
- filterExpr: (((UDFToInteger(key) % 2) = 0) and (UDFToInteger(key) < 10) and UDFToDouble(UDFToInteger(key)) is not null) (type: boolean)
+ filterExpr: (((UDFToInteger(key) % 2) = 0) and (UDFToInteger(key) < 10)) (type: boolean)
properties:
insideView TRUE
Statistics: Num rows: 500 Data size: 89000 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (((UDFToInteger(key) % 2) = 0) and (UDFToInteger(key) < 10) and UDFToDouble(UDFToInteger(key)) is not null) (type: boolean)
+ predicate: (((UDFToInteger(key) % 2) = 0) and (UDFToInteger(key) < 10)) (type: boolean)
Statistics: Num rows: 83 Data size: 14774 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: UDFToInteger(key) (type: int), reverse(value) (type: string)
diff --git a/ql/src/test/results/clientpositive/llap/masking_3.q.out b/ql/src/test/results/clientpositive/llap/masking_3.q.out
index 1a096a32ab06..325b10279200 100644
--- a/ql/src/test/results/clientpositive/llap/masking_3.q.out
+++ b/ql/src/test/results/clientpositive/llap/masking_3.q.out
@@ -24,7 +24,7 @@ CBO PLAN:
HiveProject(masking_test_subq_n3.key=[$0], masking_test_subq_n3.value=[$1])
HiveSemiJoin(condition=[AND(=($0, $3), =($4, $2))], joinType=[semi])
HiveProject(key=[$0], value=[$1], key1=[CAST($0):DOUBLE])
- HiveFilter(condition=[IS NOT NULL(CAST($0):DOUBLE)])
+ HiveFilter(condition=[IS NOT NULL($0)])
HiveTableScan(table=[[default, masking_test_subq_n3]], table:alias=[masking_test_subq_n3])
HiveProject(key=[$0], key0=[CAST($0):DOUBLE])
HiveFilter(condition=[AND(IS NOT NULL(CAST($0):DOUBLE), IS NOT NULL($0))])
@@ -56,10 +56,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: masking_test_subq_n3
- filterExpr: UDFToDouble(key) is not null (type: boolean)
+ filterExpr: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: UDFToDouble(key) is not null (type: boolean)
+ predicate: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: int), value (type: string), UDFToDouble(key) (type: double)
@@ -650,7 +650,7 @@ CBO PLAN:
HiveProject(masking_test_subq_n3.key=[$0], masking_test_subq_n3.value=[$1])
HiveSemiJoin(condition=[AND(=($0, $3), =($4, $2))], joinType=[semi])
HiveProject(key=[$0], value=[$1], key1=[CAST($0):DOUBLE])
- HiveFilter(condition=[AND(>($0, 0), IS NOT NULL(CAST($0):DOUBLE))])
+ HiveFilter(condition=[>($0, 0)])
HiveTableScan(table=[[default, masking_test_subq_n3]], table:alias=[masking_test_subq_n3])
HiveProject(key=[$0], key0=[CAST($0):DOUBLE])
HiveFilter(condition=[AND(IS NOT NULL(CAST($0):DOUBLE), IS NOT NULL($0))])
@@ -682,10 +682,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: masking_test_subq_n3
- filterExpr: ((key > 0) and UDFToDouble(key) is not null) (type: boolean)
+ filterExpr: (key > 0) (type: boolean)
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((key > 0) and UDFToDouble(key) is not null) (type: boolean)
+ predicate: (key > 0) (type: boolean)
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: int), value (type: string), UDFToDouble(key) (type: double)
@@ -1273,7 +1273,7 @@ CBO PLAN:
HiveProject(key=[$0])
HiveSemiJoin(condition=[AND(=($0, $2), =($3, $1))], joinType=[semi])
HiveProject(key=[$0], key1=[CAST($0):DOUBLE])
- HiveFilter(condition=[AND(>($0, 0), IS NOT NULL(CAST($0):DOUBLE))])
+ HiveFilter(condition=[>($0, 0)])
HiveTableScan(table=[[default, masking_test_subq_n3]], table:alias=[masking_test_subq_n3])
HiveProject(key=[$0], key0=[CAST($0):DOUBLE])
HiveFilter(condition=[AND(IS NOT NULL(CAST($0):DOUBLE), IS NOT NULL($0))])
@@ -1305,10 +1305,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: masking_test_subq_n3
- filterExpr: ((key > 0) and UDFToDouble(key) is not null) (type: boolean)
+ filterExpr: (key > 0) (type: boolean)
Statistics: Num rows: 500 Data size: 2000 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((key > 0) and UDFToDouble(key) is not null) (type: boolean)
+ predicate: (key > 0) (type: boolean)
Statistics: Num rows: 500 Data size: 2000 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: int), UDFToDouble(key) (type: double)
@@ -1896,7 +1896,7 @@ CBO PLAN:
HiveProject(value=[$1])
HiveSemiJoin(condition=[AND(=($0, $3), =($4, $2))], joinType=[semi])
HiveProject(key=[$0], value=[$1], key1=[CAST($0):DOUBLE])
- HiveFilter(condition=[AND(>($0, 0), IS NOT NULL(CAST($0):DOUBLE))])
+ HiveFilter(condition=[>($0, 0)])
HiveTableScan(table=[[default, masking_test_subq_n3]], table:alias=[masking_test_subq_n3])
HiveProject(key=[$0], key0=[CAST($0):DOUBLE])
HiveFilter(condition=[AND(IS NOT NULL(CAST($0):DOUBLE), IS NOT NULL($0))])
@@ -1928,10 +1928,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: masking_test_subq_n3
- filterExpr: ((key > 0) and UDFToDouble(key) is not null) (type: boolean)
+ filterExpr: (key > 0) (type: boolean)
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((key > 0) and UDFToDouble(key) is not null) (type: boolean)
+ predicate: (key > 0) (type: boolean)
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: int), value (type: string), UDFToDouble(key) (type: double)
@@ -2538,7 +2538,7 @@ HiveProject(masking_test_subq_n3.key=[$5], masking_test_subq_n3.value=[$6], srcp
HiveProject(key=[$0], value=[$1], EXPR$0=[CAST($0):DOUBLE])
HiveSemiJoin(condition=[AND(=($0, $3), =($4, $2))], joinType=[semi])
HiveProject(key=[$0], value=[$1], key1=[CAST($0):DOUBLE])
- HiveFilter(condition=[IS NOT NULL(CAST($0):DOUBLE)])
+ HiveFilter(condition=[IS NOT NULL($0)])
HiveTableScan(table=[[default, masking_test_subq_n3]], table:alias=[masking_test_subq_n3])
HiveProject(key=[$0], key0=[CAST($0):DOUBLE])
HiveFilter(condition=[AND(IS NOT NULL(CAST($0):DOUBLE), IS NOT NULL($0))])
@@ -2603,10 +2603,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: masking_test_subq_n3
- filterExpr: UDFToDouble(key) is not null (type: boolean)
+ filterExpr: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: UDFToDouble(key) is not null (type: boolean)
+ predicate: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: int), value (type: string), UDFToDouble(key) (type: double)
@@ -6845,7 +6845,7 @@ CBO PLAN:
HiveProject(masking_test_subq_n3.key=[$0], masking_test_subq_n3.value=[$1])
HiveSemiJoin(condition=[AND(=($0, $3), =($4, $2))], joinType=[semi])
HiveProject(key=[$0], value=[$1], key1=[CAST($0):DOUBLE])
- HiveFilter(condition=[AND(>($0, 0), IS NOT NULL(CAST($0):DOUBLE))])
+ HiveFilter(condition=[>($0, 0)])
HiveTableScan(table=[[default, masking_test_subq_n3]], table:alias=[masking_test_subq_n3])
HiveProject(key=[$0], key0=[CAST($0):DOUBLE])
HiveFilter(condition=[AND(IS NOT NULL(CAST($0):DOUBLE), IS NOT NULL($0))])
@@ -6877,10 +6877,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: masking_test_subq_n3
- filterExpr: ((key > 0) and UDFToDouble(key) is not null) (type: boolean)
+ filterExpr: (key > 0) (type: boolean)
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((key > 0) and UDFToDouble(key) is not null) (type: boolean)
+ predicate: (key > 0) (type: boolean)
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: int), value (type: string), UDFToDouble(key) (type: double)
@@ -7468,7 +7468,7 @@ CBO PLAN:
HiveProject(masking_test_subq_n3.key=[$0], masking_test_subq_n3.value=[$1])
HiveSemiJoin(condition=[AND(=($0, $3), =($4, $2))], joinType=[semi])
HiveProject(key=[$0], value=[$1], key1=[CAST($0):DOUBLE])
- HiveFilter(condition=[AND(>($0, 0), IS NOT NULL(CAST($0):DOUBLE))])
+ HiveFilter(condition=[>($0, 0)])
HiveTableScan(table=[[default, masking_test_subq_n3]], table:alias=[masking_test_subq_n3])
HiveProject(key=[$0], key0=[CAST($0):DOUBLE])
HiveFilter(condition=[AND(IS NOT NULL(CAST($0):DOUBLE), IS NOT NULL($0))])
@@ -7500,10 +7500,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: masking_test_subq_n3
- filterExpr: ((key > 0) and UDFToDouble(key) is not null) (type: boolean)
+ filterExpr: (key > 0) (type: boolean)
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((key > 0) and UDFToDouble(key) is not null) (type: boolean)
+ predicate: (key > 0) (type: boolean)
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: int), value (type: string), UDFToDouble(key) (type: double)
diff --git a/ql/src/test/results/clientpositive/llap/masking_4.q.out b/ql/src/test/results/clientpositive/llap/masking_4.q.out
index 77d9736377dd..360be41d52dd 100644
--- a/ql/src/test/results/clientpositive/llap/masking_4.q.out
+++ b/ql/src/test/results/clientpositive/llap/masking_4.q.out
@@ -132,7 +132,7 @@ CBO PLAN:
HiveProject(masking_test_subq_n2.key=[$0], masking_test_subq_n2.value=[$1])
HiveSemiJoin(condition=[AND(=($0, $3), =($4, $2))], joinType=[semi])
HiveProject(key=[$0], value=[$1], key1=[CAST($0):DOUBLE])
- HiveFilter(condition=[IS NOT NULL(CAST($0):DOUBLE)])
+ HiveFilter(condition=[IS NOT NULL($0)])
HiveTableScan(table=[[default, masking_test_subq_n2]], table:alias=[masking_test_subq_n2])
HiveProject(key=[$0], key0=[CAST($0):DOUBLE])
HiveFilter(condition=[AND(IS NOT NULL(CAST($0):DOUBLE), IS NOT NULL($0))])
@@ -168,10 +168,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: masking_test_subq_n2
- filterExpr: UDFToDouble(key) is not null (type: boolean)
+ filterExpr: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: UDFToDouble(key) is not null (type: boolean)
+ predicate: key is not null (type: boolean)
Statistics: Num rows: 500 Data size: 47500 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: int), value (type: string), UDFToDouble(key) (type: double)
diff --git a/ql/src/test/results/clientpositive/llap/materialized_view_create_rewrite_6.q.out b/ql/src/test/results/clientpositive/llap/materialized_view_create_rewrite_6.q.out
index 0da424d05bb0..c2bd14a8df62 100644
--- a/ql/src/test/results/clientpositive/llap/materialized_view_create_rewrite_6.q.out
+++ b/ql/src/test/results/clientpositive/llap/materialized_view_create_rewrite_6.q.out
@@ -248,7 +248,7 @@ POSTHOOK: Output: default@mat1
POSTHOOK: Output: default@mat1
CBO PLAN:
HiveProject(t1.a=[$5], _c1=[CAST(CASE(IS NULL($1), $6, IS NULL($6), $1, +($6, $1))):DECIMAL(17, 2)], _c2=[CASE(IS NULL($2), $7, +($7, $2))], _c3=[CAST(/(CAST(CASE(IS NULL($1), $6, IS NULL($6), $1, +($6, $1))):DECIMAL(17, 2), CASE(IS NULL($2), $7, +($7, $2)))):DECIMAL(11, 6)], _c4=[CASE(IS NULL($3), $8, +($8, $3))])
- HiveFilter(condition=[OR(AND($4, OR(AND(IS NULL($3), =($8, 0)), AND(=(+($8, $3), 0), IS NOT NULL($3)))), AND(IS NULL($4), OR(AND(IS NULL($3), >($8, 0)), AND(>(+($8, $3), 0), IS NOT NULL($3)))), AND($4, OR(AND(IS NULL($3), >($8, 0)), AND(>(+($8, $3), 0), IS NOT NULL($3)))))])
+ HiveFilter(condition=[OR(AND(IS NULL($4), OR(AND(IS NULL($3), >($8, 0)), >(+($8, $3), 0))), AND($4, OR(AND(IS NULL($3), >($8, 0)), >(+($8, $3), 0))), AND($4, OR(AND(IS NULL($3), =($8, 0)), =(+($8, $3), 0))))])
HiveJoin(condition=[IS NOT DISTINCT FROM($0, $5)], joinType=[right], algorithm=[none], cost=[not available])
HiveProject(a=[$0], _c1=[$1], _c2=[$2], _c4=[$4], $f4=[true])
HiveTableScan(table=[[default, mat1]], table:alias=[default.mat1])
@@ -385,7 +385,7 @@ STAGE PLANS:
outputColumnNames: _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9
Statistics: Num rows: 2 Data size: 746 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (_col4 and ((_col3 is null and (_col9 > 0L)) or (((_col9 + _col3) > 0) and _col3 is not null))) (type: boolean)
+ predicate: (_col4 and ((_col3 is null and (_col9 > 0L)) or ((_col9 + _col3) > 0))) (type: boolean)
Statistics: Num rows: 1 Data size: 429 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col5 (type: struct)
@@ -398,7 +398,7 @@ STAGE PLANS:
Map-reduce partition columns: UDFToInteger(_col0) (type: int)
Statistics: Num rows: 1 Data size: 76 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (_col4 and ((_col3 is null and (_col9 = 0L)) or (((_col9 + _col3) = 0) and _col3 is not null))) (type: boolean)
+ predicate: (_col4 and ((_col3 is null and (_col9 = 0L)) or ((_col9 + _col3) = 0))) (type: boolean)
Statistics: Num rows: 1 Data size: 429 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col5 (type: struct)
@@ -411,7 +411,7 @@ STAGE PLANS:
Map-reduce partition columns: UDFToInteger(_col0) (type: int)
Statistics: Num rows: 1 Data size: 76 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (_col4 and ((_col3 is null and (_col9 > 0L)) or (((_col9 + _col3) > 0) and _col3 is not null))) (type: boolean)
+ predicate: (_col4 and ((_col3 is null and (_col9 > 0L)) or ((_col9 + _col3) > 0))) (type: boolean)
Statistics: Num rows: 1 Data size: 429 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col6 (type: char(15)), CAST( CASE WHEN (_col1 is null) THEN (_col7) WHEN (_col7 is null) THEN (_col1) ELSE ((_col7 + _col1)) END AS decimal(17,2)) (type: decimal(17,2)), if(_col2 is null, _col8, (_col8 + _col2)) (type: bigint), CAST( (CAST( CASE WHEN (_col1 is null) THEN (_col7) WHEN (_col7 is null) THEN (_col1) ELSE ((_col7 + _col1)) END AS decimal(17,2)) / if(_col2 is null, _col8, (_col8 + _col2))) AS decimal(11,6)) (type: decimal(11,6)), if(_col3 is null, _col9, (_col9 + _col3)) (type: bigint)
@@ -442,7 +442,7 @@ STAGE PLANS:
Statistics: Num rows: 1 Data size: 1328 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col0 (type: int), _col1 (type: struct), _col2 (type: bigint), _col3 (type: bigint), _col4 (type: binary), _col5 (type: decimal(17,2)), _col6 (type: decimal(17,2)), _col7 (type: bigint), _col8 (type: binary), _col9 (type: bigint), _col10 (type: bigint), _col11 (type: bigint), _col12 (type: binary), _col13 (type: decimal(11,6)), _col14 (type: decimal(11,6)), _col15 (type: bigint), _col16 (type: binary), _col17 (type: bigint), _col18 (type: bigint), _col19 (type: bigint), _col20 (type: binary)
Filter Operator
- predicate: (_col4 is null and ((_col3 is null and (_col9 > 0L)) or (((_col9 + _col3) > 0) and _col3 is not null))) (type: boolean)
+ predicate: (_col4 is null and ((_col3 is null and (_col9 > 0L)) or ((_col9 + _col3) > 0))) (type: boolean)
Statistics: Num rows: 1 Data size: 429 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col6 (type: char(15)), CAST( CASE WHEN (_col1 is null) THEN (_col7) WHEN (_col7 is null) THEN (_col1) ELSE ((_col7 + _col1)) END AS decimal(17,2)) (type: decimal(17,2)), if(_col2 is null, _col8, (_col8 + _col2)) (type: bigint), CAST( (CAST( CASE WHEN (_col1 is null) THEN (_col7) WHEN (_col7 is null) THEN (_col1) ELSE ((_col7 + _col1)) END AS decimal(17,2)) / if(_col2 is null, _col8, (_col8 + _col2))) AS decimal(11,6)) (type: decimal(11,6)), if(_col3 is null, _col9, (_col9 + _col3)) (type: bigint)
diff --git a/ql/src/test/results/clientpositive/llap/materialized_view_create_rewrite_6_aggr_2joins.q.out b/ql/src/test/results/clientpositive/llap/materialized_view_create_rewrite_6_aggr_2joins.q.out
index efd93217839e..e499f726ac04 100644
--- a/ql/src/test/results/clientpositive/llap/materialized_view_create_rewrite_6_aggr_2joins.q.out
+++ b/ql/src/test/results/clientpositive/llap/materialized_view_create_rewrite_6_aggr_2joins.q.out
@@ -129,7 +129,7 @@ POSTHOOK: Output: default@cmv_mat_view_n6
POSTHOOK: Output: default@cmv_mat_view_n6
CBO PLAN:
HiveProject(cmv_basetable_n6.a=[$5], cmv_basetable_2_n3.c=[$6], cmv_basetable_2_n3.b=[$7], _c3=[CASE(IS NULL($3), $8, +($8, $3))])
- HiveFilter(condition=[OR(AND($4, OR(AND(IS NULL($3), =($8, 0)), AND(=(+($8, $3), 0), IS NOT NULL($3)))), AND(IS NULL($4), OR(AND(IS NULL($3), >($8, 0)), AND(>(+($8, $3), 0), IS NOT NULL($3)))), AND($4, OR(AND(IS NULL($3), >($8, 0)), AND(>(+($8, $3), 0), IS NOT NULL($3)))))])
+ HiveFilter(condition=[OR(AND(IS NULL($4), OR(AND(IS NULL($3), >($8, 0)), >(+($8, $3), 0))), AND($4, OR(AND(IS NULL($3), =($8, 0)), =(+($8, $3), 0))), AND($4, OR(AND(IS NULL($3), >($8, 0)), >(+($8, $3), 0))))])
HiveJoin(condition=[AND(IS NOT DISTINCT FROM($0, $5), IS NOT DISTINCT FROM($1, $6), IS NOT DISTINCT FROM($2, $7))], joinType=[right], algorithm=[none], cost=[not available])
HiveProject(a=[$0], c=[$1], b=[$2], _c3=[$3], $f4=[true])
HiveTableScan(table=[[default, cmv_mat_view_n6]], table:alias=[default.cmv_mat_view_n6])
@@ -266,7 +266,7 @@ STAGE PLANS:
outputColumnNames: _col3, _col4, _col5, _col6, _col7, _col8, _col9
Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (_col4 and ((_col3 is null and (_col9 > 0L)) or (((_col9 + _col3) > 0) and _col3 is not null))) (type: boolean)
+ predicate: (_col4 and ((_col3 is null and (_col9 > 0L)) or ((_col9 + _col3) > 0))) (type: boolean)
Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col5 (type: struct)
@@ -279,7 +279,7 @@ STAGE PLANS:
Map-reduce partition columns: UDFToInteger(_col0) (type: int)
Statistics: Num rows: 1 Data size: 76 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (_col4 and ((_col3 is null and (_col9 = 0L)) or (((_col9 + _col3) = 0) and _col3 is not null))) (type: boolean)
+ predicate: (_col4 and ((_col3 is null and (_col9 = 0L)) or ((_col9 + _col3) = 0))) (type: boolean)
Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col5 (type: struct)
@@ -292,7 +292,7 @@ STAGE PLANS:
Map-reduce partition columns: UDFToInteger(_col0) (type: int)
Statistics: Num rows: 1 Data size: 76 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (_col4 and ((_col3 is null and (_col9 > 0L)) or (((_col9 + _col3) > 0) and _col3 is not null))) (type: boolean)
+ predicate: (_col4 and ((_col3 is null and (_col9 > 0L)) or ((_col9 + _col3) > 0))) (type: boolean)
Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col6 (type: int), _col7 (type: decimal(10,2)), _col8 (type: varchar(256)), if(_col3 is null, _col9, (_col9 + _col3)) (type: bigint)
@@ -323,7 +323,7 @@ STAGE PLANS:
Statistics: Num rows: 1 Data size: 944 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint), _col3 (type: bigint), _col4 (type: binary), _col5 (type: decimal(10,2)), _col6 (type: decimal(10,2)), _col7 (type: bigint), _col8 (type: binary), _col9 (type: int), _col10 (type: struct), _col11 (type: bigint), _col12 (type: binary), _col13 (type: bigint), _col14 (type: bigint), _col15 (type: bigint), _col16 (type: binary)
Filter Operator
- predicate: (_col4 is null and ((_col3 is null and (_col9 > 0L)) or (((_col9 + _col3) > 0) and _col3 is not null))) (type: boolean)
+ predicate: (_col4 is null and ((_col3 is null and (_col9 > 0L)) or ((_col9 + _col3) > 0))) (type: boolean)
Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col6 (type: int), _col7 (type: decimal(10,2)), _col8 (type: varchar(256)), if(_col3 is null, _col9, (_col9 + _col3)) (type: bigint)
diff --git a/ql/src/test/results/clientpositive/llap/materialized_view_create_rewrite_6_aggr_3joins.q.out b/ql/src/test/results/clientpositive/llap/materialized_view_create_rewrite_6_aggr_3joins.q.out
index a3107db3142d..f1678e3c62a3 100644
--- a/ql/src/test/results/clientpositive/llap/materialized_view_create_rewrite_6_aggr_3joins.q.out
+++ b/ql/src/test/results/clientpositive/llap/materialized_view_create_rewrite_6_aggr_3joins.q.out
@@ -159,7 +159,7 @@ POSTHOOK: Output: default@mat1
POSTHOOK: Output: default@mat1
CBO PLAN:
HiveProject(cmv_basetable_n6.a=[$4], cmv_basetable_2_n3.c=[$5], _c2=[CASE(IS NULL($2), $6, +($6, $2))])
- HiveFilter(condition=[OR(AND($3, OR(AND(IS NULL($2), =($6, 0)), AND(=(+($6, $2), 0), IS NOT NULL($2)))), AND(IS NULL($3), OR(AND(IS NULL($2), >($6, 0)), AND(>(+($6, $2), 0), IS NOT NULL($2)))), AND($3, OR(AND(IS NULL($2), >($6, 0)), AND(>(+($6, $2), 0), IS NOT NULL($2)))))])
+ HiveFilter(condition=[OR(AND(IS NULL($3), OR(AND(IS NULL($2), >($6, 0)), >(+($6, $2), 0))), AND($3, OR(AND(IS NULL($2), =($6, 0)), =(+($6, $2), 0))), AND($3, OR(AND(IS NULL($2), >($6, 0)), >(+($6, $2), 0))))])
HiveJoin(condition=[AND(IS NOT DISTINCT FROM($0, $4), IS NOT DISTINCT FROM($1, $5))], joinType=[right], algorithm=[none], cost=[not available])
HiveProject(a=[$0], c=[$1], _c2=[$2], $f3=[true])
HiveTableScan(table=[[default, mat1]], table:alias=[default.mat1])
@@ -343,7 +343,7 @@ STAGE PLANS:
outputColumnNames: _col2, _col3, _col4, _col5, _col6, _col7
Statistics: Num rows: 2 Data size: 424 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (_col3 and ((_col2 is null and (_col7 > 0L)) or (((_col7 + _col2) > 0) and _col2 is not null))) (type: boolean)
+ predicate: (_col3 and ((_col2 is null and (_col7 > 0L)) or ((_col7 + _col2) > 0))) (type: boolean)
Statistics: Num rows: 1 Data size: 212 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col4 (type: struct)
@@ -356,7 +356,7 @@ STAGE PLANS:
Map-reduce partition columns: UDFToInteger(_col0) (type: int)
Statistics: Num rows: 1 Data size: 76 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (_col3 and ((_col2 is null and (_col7 = 0L)) or (((_col7 + _col2) = 0) and _col2 is not null))) (type: boolean)
+ predicate: (_col3 and ((_col2 is null and (_col7 = 0L)) or ((_col7 + _col2) = 0))) (type: boolean)
Statistics: Num rows: 1 Data size: 212 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col4 (type: struct)
@@ -369,7 +369,7 @@ STAGE PLANS:
Map-reduce partition columns: UDFToInteger(_col0) (type: int)
Statistics: Num rows: 1 Data size: 76 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (_col3 and ((_col2 is null and (_col7 > 0L)) or (((_col7 + _col2) > 0) and _col2 is not null))) (type: boolean)
+ predicate: (_col3 and ((_col2 is null and (_col7 > 0L)) or ((_col7 + _col2) > 0))) (type: boolean)
Statistics: Num rows: 1 Data size: 212 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col5 (type: int), _col6 (type: decimal(10,2)), if(_col2 is null, _col7, (_col7 + _col2)) (type: bigint)
@@ -400,7 +400,7 @@ STAGE PLANS:
Statistics: Num rows: 1 Data size: 712 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint), _col3 (type: bigint), _col4 (type: binary), _col5 (type: decimal(10,2)), _col6 (type: decimal(10,2)), _col7 (type: bigint), _col8 (type: binary), _col9 (type: bigint), _col10 (type: bigint), _col11 (type: bigint), _col12 (type: binary)
Filter Operator
- predicate: (_col3 is null and ((_col2 is null and (_col7 > 0L)) or (((_col7 + _col2) > 0) and _col2 is not null))) (type: boolean)
+ predicate: (_col3 is null and ((_col2 is null and (_col7 > 0L)) or ((_col7 + _col2) > 0))) (type: boolean)
Statistics: Num rows: 1 Data size: 212 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col5 (type: int), _col6 (type: decimal(10,2)), if(_col2 is null, _col7, (_col7 + _col2)) (type: bigint)
@@ -681,7 +681,7 @@ POSTHOOK: Output: default@mat1
POSTHOOK: Output: default@mat1
CBO PLAN:
HiveProject(cmv_basetable_n6.a=[$4], cmv_basetable_2_n3.c=[$5], _c2=[CASE(IS NULL($2), $6, +($6, $2))])
- HiveFilter(condition=[OR(AND($3, OR(AND(IS NULL($2), =($6, 0)), AND(=(+($6, $2), 0), IS NOT NULL($2)))), AND(IS NULL($3), OR(AND(IS NULL($2), >($6, 0)), AND(>(+($6, $2), 0), IS NOT NULL($2)))), AND($3, OR(AND(IS NULL($2), >($6, 0)), AND(>(+($6, $2), 0), IS NOT NULL($2)))))])
+ HiveFilter(condition=[OR(AND($3, OR(AND(IS NULL($2), =($6, 0)), =(+($6, $2), 0))), AND(IS NULL($3), OR(AND(IS NULL($2), >($6, 0)), >(+($6, $2), 0))), AND($3, OR(AND(IS NULL($2), >($6, 0)), >(+($6, $2), 0))))])
HiveJoin(condition=[AND(IS NOT DISTINCT FROM($0, $4), IS NOT DISTINCT FROM($1, $5))], joinType=[right], algorithm=[none], cost=[not available])
HiveProject(a=[$0], c=[$1], _c2=[$2], $f3=[true])
HiveTableScan(table=[[default, mat1]], table:alias=[default.mat1])
@@ -696,8 +696,8 @@ HiveProject(cmv_basetable_n6.a=[$4], cmv_basetable_2_n3.c=[$5], _c2=[CASE(IS NUL
HiveProject(a=[$0], c=[$2])
HiveFilter(condition=[IS NOT NULL($0)])
HiveTableScan(table=[[default, cmv_basetable_2_n3]], table:alias=[cmv_basetable_2_n3])
- HiveProject(a=[$0], c=[$2], _deleted=[AND($7, <(2, $6.writeid))])
- HiveFilter(condition=[AND(<(2, $6.writeid), OR(NOT($7), >=(2, $6.writeid), $7), IS NOT NULL($0))])
+ HiveProject(a=[$0], c=[$2], _deleted=[AND($7, IS NOT NULL($6.writeid))])
+ HiveFilter(condition=[AND(<(2, $6.writeid), IS NOT NULL($7), IS NOT NULL($0))])
HiveTableScan(table=[[default, cmv_basetable_n6]], table:alias=[cmv_basetable_n6])
PREHOOK: query: EXPLAIN
@@ -768,15 +768,15 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: cmv_basetable_n6
- filterExpr: ((ROW__ID.writeid > 2L) and ((not ROW__IS__DELETED) or (ROW__ID.writeid <= 2L) or ROW__IS__DELETED) and a is not null) (type: boolean)
+ filterExpr: ((ROW__ID.writeid > 2L) and ROW__IS__DELETED is not null and a is not null) (type: boolean)
properties:
acid.fetch.deleted.rows TRUE
Statistics: Num rows: 3 Data size: 348 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((ROW__ID.writeid > 2L) and ((not ROW__IS__DELETED) or (ROW__ID.writeid <= 2L) or ROW__IS__DELETED) and a is not null) (type: boolean)
+ predicate: ((ROW__ID.writeid > 2L) and ROW__IS__DELETED is not null and a is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 116 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
- expressions: a (type: int), c (type: decimal(10,2)), (ROW__IS__DELETED and (ROW__ID.writeid > 2L)) (type: boolean)
+ expressions: a (type: int), c (type: decimal(10,2)), (ROW__IS__DELETED and ROW__ID.writeid is not null) (type: boolean)
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 1 Data size: 120 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
@@ -864,7 +864,7 @@ STAGE PLANS:
outputColumnNames: _col2, _col3, _col4, _col5, _col6, _col7
Statistics: Num rows: 1 Data size: 212 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (_col3 and ((_col2 is null and (_col7 > 0L)) or (((_col7 + _col2) > 0) and _col2 is not null))) (type: boolean)
+ predicate: (_col3 and ((_col2 is null and (_col7 > 0L)) or ((_col7 + _col2) > 0))) (type: boolean)
Statistics: Num rows: 1 Data size: 212 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col4 (type: struct)
@@ -877,7 +877,7 @@ STAGE PLANS:
Map-reduce partition columns: UDFToInteger(_col0) (type: int)
Statistics: Num rows: 1 Data size: 76 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (_col3 and ((_col2 is null and (_col7 = 0L)) or (((_col7 + _col2) = 0) and _col2 is not null))) (type: boolean)
+ predicate: (_col3 and ((_col2 is null and (_col7 = 0L)) or ((_col7 + _col2) = 0))) (type: boolean)
Statistics: Num rows: 1 Data size: 212 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col4 (type: struct)
@@ -890,7 +890,7 @@ STAGE PLANS:
Map-reduce partition columns: UDFToInteger(_col0) (type: int)
Statistics: Num rows: 1 Data size: 76 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (_col3 and ((_col2 is null and (_col7 > 0L)) or (((_col7 + _col2) > 0) and _col2 is not null))) (type: boolean)
+ predicate: (_col3 and ((_col2 is null and (_col7 > 0L)) or ((_col7 + _col2) > 0))) (type: boolean)
Statistics: Num rows: 1 Data size: 212 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col5 (type: int), _col6 (type: decimal(10,2)), if(_col2 is null, _col7, (_col7 + _col2)) (type: bigint)
@@ -921,7 +921,7 @@ STAGE PLANS:
Statistics: Num rows: 1 Data size: 712 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint), _col3 (type: bigint), _col4 (type: binary), _col5 (type: decimal(10,2)), _col6 (type: decimal(10,2)), _col7 (type: bigint), _col8 (type: binary), _col9 (type: bigint), _col10 (type: bigint), _col11 (type: bigint), _col12 (type: binary)
Filter Operator
- predicate: (_col3 is null and ((_col2 is null and (_col7 > 0L)) or (((_col7 + _col2) > 0) and _col2 is not null))) (type: boolean)
+ predicate: (_col3 is null and ((_col2 is null and (_col7 > 0L)) or ((_col7 + _col2) > 0))) (type: boolean)
Statistics: Num rows: 1 Data size: 212 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col5 (type: int), _col6 (type: decimal(10,2)), if(_col2 is null, _col7, (_col7 + _col2)) (type: bigint)
diff --git a/ql/src/test/results/clientpositive/llap/materialized_view_create_rewrite_9.q.out b/ql/src/test/results/clientpositive/llap/materialized_view_create_rewrite_9.q.out
index 8210886d2011..0764a8ed1d70 100644
--- a/ql/src/test/results/clientpositive/llap/materialized_view_create_rewrite_9.q.out
+++ b/ql/src/test/results/clientpositive/llap/materialized_view_create_rewrite_9.q.out
@@ -246,7 +246,7 @@ POSTHOOK: Output: default@mat1
POSTHOOK: Output: default@mat1
CBO PLAN:
HiveProject(t1.a=[$4], _c1=[CASE(IS NULL($1), $5, IS NULL($5), $1, +($5, $1))], _c2=[CASE(IS NULL($2), $6, +($6, $2))])
- HiveFilter(condition=[OR(AND($3, OR(AND(IS NULL($2), =($6, 0)), AND(=(+($6, $2), 0), IS NOT NULL($2)))), AND(IS NULL($3), OR(AND(IS NULL($2), >($6, 0)), AND(>(+($6, $2), 0), IS NOT NULL($2)))), AND($3, OR(AND(IS NULL($2), >($6, 0)), AND(>(+($6, $2), 0), IS NOT NULL($2)))))])
+ HiveFilter(condition=[OR(AND(IS NULL($3), OR(AND(IS NULL($2), >($6, 0)), >(+($6, $2), 0))), AND($3, OR(AND(IS NULL($2), >($6, 0)), >(+($6, $2), 0))), AND($3, OR(AND(IS NULL($2), =($6, 0)), =(+($6, $2), 0))))])
HiveJoin(condition=[IS NOT DISTINCT FROM($0, $4)], joinType=[right], algorithm=[none], cost=[not available])
HiveProject(a=[$0], _c1=[$1], _c2=[$2], $f3=[true])
HiveTableScan(table=[[default, mat1]], table:alias=[default.mat1])
@@ -383,7 +383,7 @@ STAGE PLANS:
outputColumnNames: _col1, _col2, _col3, _col4, _col5, _col6, _col7
Statistics: Num rows: 2 Data size: 402 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (_col3 and ((_col2 is null and (_col7 > 0L)) or (((_col7 + _col2) > 0) and _col2 is not null))) (type: boolean)
+ predicate: (_col3 and ((_col2 is null and (_col7 > 0L)) or ((_col7 + _col2) > 0))) (type: boolean)
Statistics: Num rows: 1 Data size: 205 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col4 (type: struct)
@@ -396,7 +396,7 @@ STAGE PLANS:
Map-reduce partition columns: UDFToInteger(_col0) (type: int)
Statistics: Num rows: 1 Data size: 76 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (_col3 and ((_col2 is null and (_col7 = 0L)) or (((_col7 + _col2) = 0) and _col2 is not null))) (type: boolean)
+ predicate: (_col3 and ((_col2 is null and (_col7 = 0L)) or ((_col7 + _col2) = 0))) (type: boolean)
Statistics: Num rows: 1 Data size: 205 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col4 (type: struct)
@@ -409,7 +409,7 @@ STAGE PLANS:
Map-reduce partition columns: UDFToInteger(_col0) (type: int)
Statistics: Num rows: 1 Data size: 76 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (_col3 and ((_col2 is null and (_col7 > 0L)) or (((_col7 + _col2) > 0) and _col2 is not null))) (type: boolean)
+ predicate: (_col3 and ((_col2 is null and (_col7 > 0L)) or ((_col7 + _col2) > 0))) (type: boolean)
Statistics: Num rows: 1 Data size: 205 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col5 (type: char(15)), CASE WHEN (_col1 is null) THEN (_col6) WHEN (_col6 is null) THEN (_col1) ELSE ((_col6 + _col1)) END (type: bigint), if(_col2 is null, _col7, (_col7 + _col2)) (type: bigint)
@@ -440,7 +440,7 @@ STAGE PLANS:
Statistics: Num rows: 1 Data size: 576 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col0 (type: int), _col1 (type: struct), _col2 (type: bigint), _col3 (type: bigint), _col4 (type: binary), _col5 (type: bigint), _col6 (type: bigint), _col7 (type: bigint), _col8 (type: binary), _col9 (type: bigint), _col10 (type: bigint), _col11 (type: bigint), _col12 (type: binary)
Filter Operator
- predicate: (_col3 is null and ((_col2 is null and (_col7 > 0L)) or (((_col7 + _col2) > 0) and _col2 is not null))) (type: boolean)
+ predicate: (_col3 is null and ((_col2 is null and (_col7 > 0L)) or ((_col7 + _col2) > 0))) (type: boolean)
Statistics: Num rows: 1 Data size: 205 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col5 (type: char(15)), CASE WHEN (_col1 is null) THEN (_col6) WHEN (_col6 is null) THEN (_col1) ELSE ((_col6 + _col1)) END (type: bigint), if(_col2 is null, _col7, (_col7 + _col2)) (type: bigint)
diff --git a/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_by_text_3.q.out b/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_by_text_3.q.out
index e688639a0f5e..28c46fdc7349 100644
--- a/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_by_text_3.q.out
+++ b/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_by_text_3.q.out
@@ -32,8 +32,8 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: default@t1
#### A masked pattern was here ####
CBO PLAN:
-HiveProject(t1.col0=[CAST(_UTF-16LE'FOO':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
- HiveFilter(condition=[=($0, _UTF-16LE'FOO')])
+HiveProject(t1.col0=[CAST('FOO':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
+ HiveFilter(condition=[=($0, 'FOO')])
HiveTableScan(table=[[default, t1]], table:alias=[t1])
PREHOOK: query: explain cbo
diff --git a/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_by_text_4.q.out b/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_by_text_4.q.out
index 977a822cecb1..784e6d379bb2 100644
--- a/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_by_text_4.q.out
+++ b/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_by_text_4.q.out
@@ -66,8 +66,8 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: default@t1
#### A masked pattern was here ####
CBO PLAN:
-HiveProject(t1.col0=[CAST(_UTF-16LE'foo':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
- HiveFilter(condition=[=($0, _UTF-16LE'foo')])
+HiveProject(t1.col0=[CAST('foo':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
+ HiveFilter(condition=[=($0, 'foo')])
HiveTableScan(table=[[default, t1]], table:alias=[t1])
PREHOOK: query: ALTER MATERIALIZED VIEW mat1 REBUILD
diff --git a/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_ssb.q.out b/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_ssb.q.out
index 79c2216e9b84..75e08a9762bb 100644
--- a/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_ssb.q.out
+++ b/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_ssb.q.out
@@ -664,10 +664,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: default.ssb_mv_n0
- filterExpr: ((lo_quantity < 25.0D) and lo_discount BETWEEN 1.0D AND 3.0D and (d_year = 1993)) (type: boolean)
+ filterExpr: ((lo_quantity < 25.0D) and (d_year = 1993) and lo_discount BETWEEN 1.0D AND 3.0D) (type: boolean)
Statistics: Num rows: 1 Data size: 28 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((lo_quantity < 25.0D) and lo_discount BETWEEN 1.0D AND 3.0D and (d_year = 1993)) (type: boolean)
+ predicate: ((lo_quantity < 25.0D) and (d_year = 1993) and lo_discount BETWEEN 1.0D AND 3.0D) (type: boolean)
Statistics: Num rows: 1 Data size: 28 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: discounted_price (type: double)
@@ -754,10 +754,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: default.ssb_mv_n0
- filterExpr: (lo_quantity BETWEEN 26.0D AND 35.0D and lo_discount BETWEEN 4.0D AND 6.0D and (d_yearmonthnum = 199401)) (type: boolean)
+ filterExpr: ((d_yearmonthnum = 199401) and lo_quantity BETWEEN 26.0D AND 35.0D and lo_discount BETWEEN 4.0D AND 6.0D) (type: boolean)
Statistics: Num rows: 1 Data size: 28 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (lo_quantity BETWEEN 26.0D AND 35.0D and lo_discount BETWEEN 4.0D AND 6.0D and (d_yearmonthnum = 199401)) (type: boolean)
+ predicate: ((d_yearmonthnum = 199401) and lo_quantity BETWEEN 26.0D AND 35.0D and lo_discount BETWEEN 4.0D AND 6.0D) (type: boolean)
Statistics: Num rows: 1 Data size: 28 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: discounted_price (type: double)
@@ -846,10 +846,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: default.ssb_mv_n0
- filterExpr: (lo_quantity BETWEEN 26.0D AND 35.0D and lo_discount BETWEEN 5.0D AND 7.0D and (d_year = 1994) and (d_weeknuminyear = 6)) (type: boolean)
+ filterExpr: ((d_year = 1994) and (d_weeknuminyear = 6) and lo_quantity BETWEEN 26.0D AND 35.0D and lo_discount BETWEEN 5.0D AND 7.0D) (type: boolean)
Statistics: Num rows: 1 Data size: 32 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (lo_quantity BETWEEN 26.0D AND 35.0D and lo_discount BETWEEN 5.0D AND 7.0D and (d_year = 1994) and (d_weeknuminyear = 6)) (type: boolean)
+ predicate: ((d_year = 1994) and (d_weeknuminyear = 6) and lo_quantity BETWEEN 26.0D AND 35.0D and lo_discount BETWEEN 5.0D AND 7.0D) (type: boolean)
Statistics: Num rows: 1 Data size: 32 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: discounted_price (type: double)
@@ -951,10 +951,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: default.ssb_mv_n0
- filterExpr: ((p_category = 'MFGR#12') and (s_region = 'AMERICA')) (type: boolean)
+ filterExpr: ((s_region = 'AMERICA') and (p_category = 'MFGR#12')) (type: boolean)
Statistics: Num rows: 1 Data size: 264 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((p_category = 'MFGR#12') and (s_region = 'AMERICA')) (type: boolean)
+ predicate: ((s_region = 'AMERICA') and (p_category = 'MFGR#12')) (type: boolean)
Statistics: Num rows: 1 Data size: 264 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: d_year (type: int), p_brand1 (type: string), lo_revenue (type: double)
@@ -1077,10 +1077,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: default.ssb_mv_n0
- filterExpr: (p_brand1 BETWEEN 'MFGR#2221' AND 'MFGR#2228' and (s_region = 'ASIA')) (type: boolean)
+ filterExpr: ((s_region = 'ASIA') and p_brand1 BETWEEN 'MFGR#2221' AND 'MFGR#2228') (type: boolean)
Statistics: Num rows: 1 Data size: 180 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (p_brand1 BETWEEN 'MFGR#2221' AND 'MFGR#2228' and (s_region = 'ASIA')) (type: boolean)
+ predicate: ((s_region = 'ASIA') and p_brand1 BETWEEN 'MFGR#2221' AND 'MFGR#2228') (type: boolean)
Statistics: Num rows: 1 Data size: 180 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: d_year (type: int), p_brand1 (type: string), lo_revenue (type: double)
@@ -1203,10 +1203,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: default.ssb_mv_n0
- filterExpr: ((p_brand1 = 'MFGR#2239') and (s_region = 'EUROPE')) (type: boolean)
+ filterExpr: ((s_region = 'EUROPE') and (p_brand1 = 'MFGR#2239')) (type: boolean)
Statistics: Num rows: 1 Data size: 180 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((p_brand1 = 'MFGR#2239') and (s_region = 'EUROPE')) (type: boolean)
+ predicate: ((s_region = 'EUROPE') and (p_brand1 = 'MFGR#2239')) (type: boolean)
Statistics: Num rows: 1 Data size: 180 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: d_year (type: int), lo_revenue (type: double)
@@ -1333,10 +1333,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: default.ssb_mv_n0
- filterExpr: (d_year BETWEEN 1992 AND 1997 and (c_region = 'ASIA') and (s_region = 'ASIA')) (type: boolean)
+ filterExpr: ((c_region = 'ASIA') and (s_region = 'ASIA') and d_year BETWEEN 1992 AND 1997) (type: boolean)
Statistics: Num rows: 1 Data size: 348 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (d_year BETWEEN 1992 AND 1997 and (c_region = 'ASIA') and (s_region = 'ASIA')) (type: boolean)
+ predicate: ((c_region = 'ASIA') and (s_region = 'ASIA') and d_year BETWEEN 1992 AND 1997) (type: boolean)
Statistics: Num rows: 1 Data size: 348 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: c_nation (type: string), d_year (type: int), s_nation (type: string), lo_revenue (type: double)
@@ -1461,10 +1461,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: default.ssb_mv_n0
- filterExpr: (d_year BETWEEN 1992 AND 1997 and (c_nation = 'UNITED STATES') and (s_nation = 'UNITED STATES')) (type: boolean)
+ filterExpr: ((c_nation = 'UNITED STATES') and (s_nation = 'UNITED STATES') and d_year BETWEEN 1992 AND 1997) (type: boolean)
Statistics: Num rows: 1 Data size: 348 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (d_year BETWEEN 1992 AND 1997 and (c_nation = 'UNITED STATES') and (s_nation = 'UNITED STATES')) (type: boolean)
+ predicate: ((c_nation = 'UNITED STATES') and (s_nation = 'UNITED STATES') and d_year BETWEEN 1992 AND 1997) (type: boolean)
Statistics: Num rows: 1 Data size: 348 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: c_city (type: string), d_year (type: int), s_city (type: string), lo_revenue (type: double)
@@ -1979,10 +1979,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: default.ssb_mv_n0
- filterExpr: ((c_region = 'AMERICA') and (s_region = 'AMERICA') and (d_year) IN (1997, 1998) and (p_mfgr) IN ('MFGR#1', 'MFGR#2')) (type: boolean)
+ filterExpr: ((c_region = 'AMERICA') and (s_region = 'AMERICA') and (p_mfgr) IN ('MFGR#1', 'MFGR#2') and (d_year) IN (1997, 1998)) (type: boolean)
Statistics: Num rows: 1 Data size: 432 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((c_region = 'AMERICA') and (s_region = 'AMERICA') and (d_year) IN (1997, 1998) and (p_mfgr) IN ('MFGR#1', 'MFGR#2')) (type: boolean)
+ predicate: ((c_region = 'AMERICA') and (s_region = 'AMERICA') and (p_mfgr) IN ('MFGR#1', 'MFGR#2') and (d_year) IN (1997, 1998)) (type: boolean)
Statistics: Num rows: 1 Data size: 432 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: d_year (type: int), p_category (type: string), s_nation (type: string), net_revenue (type: double)
diff --git a/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_ssb_2.q.out b/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_ssb_2.q.out
index 72a69cf82214..1cd1c705511e 100644
--- a/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_ssb_2.q.out
+++ b/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_ssb_2.q.out
@@ -667,10 +667,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: default.ssb_mv
- filterExpr: ((UDFToDouble(lo_quantity) < 25.0D) and UDFToDouble(lo_discount) BETWEEN 1.0D AND 3.0D and (UDFToInteger(d_year) = 1993)) (type: boolean)
+ filterExpr: ((UDFToDouble(lo_quantity) < 25.0D) and (UDFToInteger(d_year) = 1993) and UDFToDouble(lo_discount) BETWEEN 1.0D AND 3.0D) (type: boolean)
Statistics: Num rows: 1 Data size: 260 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((UDFToDouble(lo_quantity) < 25.0D) and UDFToDouble(lo_discount) BETWEEN 1.0D AND 3.0D and (UDFToInteger(d_year) = 1993)) (type: boolean)
+ predicate: ((UDFToDouble(lo_quantity) < 25.0D) and (UDFToInteger(d_year) = 1993) and UDFToDouble(lo_discount) BETWEEN 1.0D AND 3.0D) (type: boolean)
Statistics: Num rows: 1 Data size: 260 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: discounted_price (type: double)
@@ -757,10 +757,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: default.ssb_mv
- filterExpr: (UDFToDouble(lo_quantity) BETWEEN 26.0D AND 35.0D and UDFToDouble(lo_discount) BETWEEN 4.0D AND 6.0D and (UDFToInteger(d_yearmonthnum) = 199401)) (type: boolean)
+ filterExpr: ((UDFToInteger(d_yearmonthnum) = 199401) and UDFToDouble(lo_quantity) BETWEEN 26.0D AND 35.0D and UDFToDouble(lo_discount) BETWEEN 4.0D AND 6.0D) (type: boolean)
Statistics: Num rows: 1 Data size: 260 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (UDFToDouble(lo_quantity) BETWEEN 26.0D AND 35.0D and UDFToDouble(lo_discount) BETWEEN 4.0D AND 6.0D and (UDFToInteger(d_yearmonthnum) = 199401)) (type: boolean)
+ predicate: ((UDFToInteger(d_yearmonthnum) = 199401) and UDFToDouble(lo_quantity) BETWEEN 26.0D AND 35.0D and UDFToDouble(lo_discount) BETWEEN 4.0D AND 6.0D) (type: boolean)
Statistics: Num rows: 1 Data size: 260 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: discounted_price (type: double)
@@ -849,10 +849,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: default.ssb_mv
- filterExpr: (UDFToDouble(lo_quantity) BETWEEN 26.0D AND 35.0D and UDFToDouble(lo_discount) BETWEEN 5.0D AND 7.0D and (UDFToInteger(d_year) = 1994) and (UDFToInteger(d_weeknuminyear) = 6)) (type: boolean)
+ filterExpr: ((UDFToInteger(d_year) = 1994) and (UDFToInteger(d_weeknuminyear) = 6) and UDFToDouble(lo_quantity) BETWEEN 26.0D AND 35.0D and UDFToDouble(lo_discount) BETWEEN 5.0D AND 7.0D) (type: boolean)
Statistics: Num rows: 1 Data size: 344 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (UDFToDouble(lo_quantity) BETWEEN 26.0D AND 35.0D and UDFToDouble(lo_discount) BETWEEN 5.0D AND 7.0D and (UDFToInteger(d_year) = 1994) and (UDFToInteger(d_weeknuminyear) = 6)) (type: boolean)
+ predicate: ((UDFToInteger(d_year) = 1994) and (UDFToInteger(d_weeknuminyear) = 6) and UDFToDouble(lo_quantity) BETWEEN 26.0D AND 35.0D and UDFToDouble(lo_discount) BETWEEN 5.0D AND 7.0D) (type: boolean)
Statistics: Num rows: 1 Data size: 344 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: discounted_price (type: double)
@@ -954,10 +954,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: default.ssb_mv
- filterExpr: ((p_category = 'MFGR#12') and (s_region = 'AMERICA')) (type: boolean)
+ filterExpr: ((s_region = 'AMERICA') and (p_category = 'MFGR#12')) (type: boolean)
Statistics: Num rows: 1 Data size: 344 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((p_category = 'MFGR#12') and (s_region = 'AMERICA')) (type: boolean)
+ predicate: ((s_region = 'AMERICA') and (p_category = 'MFGR#12')) (type: boolean)
Statistics: Num rows: 1 Data size: 344 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: UDFToInteger(d_year) (type: int), p_brand1 (type: string), lo_revenue (type: double)
@@ -1080,10 +1080,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: default.ssb_mv
- filterExpr: (p_brand1 BETWEEN 'MFGR#2221' AND 'MFGR#2228' and (s_region = 'ASIA')) (type: boolean)
+ filterExpr: ((s_region = 'ASIA') and p_brand1 BETWEEN 'MFGR#2221' AND 'MFGR#2228') (type: boolean)
Statistics: Num rows: 1 Data size: 260 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (p_brand1 BETWEEN 'MFGR#2221' AND 'MFGR#2228' and (s_region = 'ASIA')) (type: boolean)
+ predicate: ((s_region = 'ASIA') and p_brand1 BETWEEN 'MFGR#2221' AND 'MFGR#2228') (type: boolean)
Statistics: Num rows: 1 Data size: 260 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: UDFToInteger(d_year) (type: int), p_brand1 (type: string), lo_revenue (type: double)
@@ -1206,10 +1206,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: default.ssb_mv
- filterExpr: ((p_brand1 = 'MFGR#2239') and (s_region = 'EUROPE')) (type: boolean)
+ filterExpr: ((s_region = 'EUROPE') and (p_brand1 = 'MFGR#2239')) (type: boolean)
Statistics: Num rows: 1 Data size: 260 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((p_brand1 = 'MFGR#2239') and (s_region = 'EUROPE')) (type: boolean)
+ predicate: ((s_region = 'EUROPE') and (p_brand1 = 'MFGR#2239')) (type: boolean)
Statistics: Num rows: 1 Data size: 260 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: UDFToInteger(d_year) (type: int), lo_revenue (type: double)
@@ -1336,10 +1336,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: default.ssb_mv
- filterExpr: (UDFToInteger(d_year) BETWEEN 1992 AND 1997 and (c_region = 'ASIA') and (s_region = 'ASIA')) (type: boolean)
+ filterExpr: ((c_region = 'ASIA') and (s_region = 'ASIA') and UDFToInteger(d_year) BETWEEN 1992 AND 1997) (type: boolean)
Statistics: Num rows: 1 Data size: 428 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (UDFToInteger(d_year) BETWEEN 1992 AND 1997 and (c_region = 'ASIA') and (s_region = 'ASIA')) (type: boolean)
+ predicate: ((c_region = 'ASIA') and (s_region = 'ASIA') and UDFToInteger(d_year) BETWEEN 1992 AND 1997) (type: boolean)
Statistics: Num rows: 1 Data size: 428 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: c_nation (type: string), s_nation (type: string), UDFToInteger(d_year) (type: int), lo_revenue (type: double)
@@ -1464,10 +1464,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: default.ssb_mv
- filterExpr: (UDFToInteger(d_year) BETWEEN 1992 AND 1997 and (c_nation = 'UNITED STATES') and (s_nation = 'UNITED STATES')) (type: boolean)
+ filterExpr: ((c_nation = 'UNITED STATES') and (s_nation = 'UNITED STATES') and UDFToInteger(d_year) BETWEEN 1992 AND 1997) (type: boolean)
Statistics: Num rows: 1 Data size: 428 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (UDFToInteger(d_year) BETWEEN 1992 AND 1997 and (c_nation = 'UNITED STATES') and (s_nation = 'UNITED STATES')) (type: boolean)
+ predicate: ((c_nation = 'UNITED STATES') and (s_nation = 'UNITED STATES') and UDFToInteger(d_year) BETWEEN 1992 AND 1997) (type: boolean)
Statistics: Num rows: 1 Data size: 428 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: c_city (type: string), s_city (type: string), UDFToInteger(d_year) (type: int), lo_revenue (type: double)
@@ -1986,10 +1986,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: default.ssb_mv
- filterExpr: ((c_region = 'AMERICA') and (s_region = 'AMERICA') and (UDFToInteger(d_year)) IN (1997, 1998) and (p_mfgr) IN ('MFGR#1', 'MFGR#2')) (type: boolean)
+ filterExpr: ((c_region = 'AMERICA') and (s_region = 'AMERICA') and (p_mfgr) IN ('MFGR#1', 'MFGR#2') and (UDFToInteger(d_year)) IN (1997, 1998)) (type: boolean)
Statistics: Num rows: 1 Data size: 512 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((c_region = 'AMERICA') and (s_region = 'AMERICA') and (UDFToInteger(d_year)) IN (1997, 1998) and (p_mfgr) IN ('MFGR#1', 'MFGR#2')) (type: boolean)
+ predicate: ((c_region = 'AMERICA') and (s_region = 'AMERICA') and (p_mfgr) IN ('MFGR#1', 'MFGR#2') and (UDFToInteger(d_year)) IN (1997, 1998)) (type: boolean)
Statistics: Num rows: 1 Data size: 512 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: UDFToInteger(d_year) (type: int), s_nation (type: string), p_category (type: string), net_revenue (type: double)
diff --git a/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_ssb_grouping_sets.q.out b/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_ssb_grouping_sets.q.out
index 16f331beb008..a6bc091b2a7c 100644
--- a/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_ssb_grouping_sets.q.out
+++ b/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_ssb_grouping_sets.q.out
@@ -697,7 +697,7 @@ POSTHOOK: Input: default@ssb_mv_n3
CBO PLAN:
HiveProject(revenue=[$0])
HiveAggregate(group=[{}], agg#0=[sum($16)])
- HiveFilter(condition=[AND(<($8, 2.5E1), =(CAST($18):BIGINT NOT NULL, 29247), BETWEEN(false, $7, 1E0:DOUBLE, 3E0:DOUBLE), =($4, 1993))])
+ HiveFilter(condition=[AND(<($8, 25.0E0), =(CAST($18):BIGINT NOT NULL, 29247), =($4, 1993), BETWEEN(false, $7, 1.0E0:DOUBLE, 3.0E0:DOUBLE))])
HiveTableScan(table=[[default, ssb_mv_n3]], table:alias=[default.ssb_mv_n3])
PREHOOK: query: explain cbo
@@ -733,7 +733,7 @@ POSTHOOK: Input: default@ssb_mv_n3
CBO PLAN:
HiveProject(revenue=[$0])
HiveAggregate(group=[{}], agg#0=[sum($16)])
- HiveFilter(condition=[AND(=(CAST($18):BIGINT NOT NULL, 29247), BETWEEN(false, $8, 2.6E1:DOUBLE, 3.5E1:DOUBLE), BETWEEN(false, $7, 4E0:DOUBLE, 6E0:DOUBLE), =($6, 199401))])
+ HiveFilter(condition=[AND(=(CAST($18):BIGINT NOT NULL, 29247), =($6, 199401), BETWEEN(false, $8, 26.0E0:DOUBLE, 35.0E0:DOUBLE), BETWEEN(false, $7, 4.0E0:DOUBLE, 6.0E0:DOUBLE))])
HiveTableScan(table=[[default, ssb_mv_n3]], table:alias=[default.ssb_mv_n3])
PREHOOK: query: explain cbo
@@ -771,7 +771,7 @@ POSTHOOK: Input: default@ssb_mv_n3
CBO PLAN:
HiveProject(revenue=[$0])
HiveAggregate(group=[{}], agg#0=[sum($16)])
- HiveFilter(condition=[AND(=(CAST($18):BIGINT NOT NULL, 29247), BETWEEN(false, $8, 2.6E1:DOUBLE, 3.5E1:DOUBLE), BETWEEN(false, $7, 5E0:DOUBLE, 7E0:DOUBLE), =($4, 1994), =($3, 6))])
+ HiveFilter(condition=[AND(=(CAST($18):BIGINT NOT NULL, 29247), =($4, 1994), =($3, 6), BETWEEN(false, $8, 26.0E0:DOUBLE, 35.0E0:DOUBLE), BETWEEN(false, $7, 5.0E0:DOUBLE, 7.0E0:DOUBLE))])
HiveTableScan(table=[[default, ssb_mv_n3]], table:alias=[default.ssb_mv_n3])
PREHOOK: query: explain cbo
@@ -822,7 +822,7 @@ CBO PLAN:
HiveSortLimit(sort0=[$1], sort1=[$2], dir0=[ASC], dir1=[ASC])
HiveProject(lo_revenue=[$2], d_year=[$0], p_brand1=[$1])
HiveAggregate(group=[{4, 9}], agg#0=[sum($15)])
- HiveFilter(condition=[AND(=(CAST($18):BIGINT NOT NULL, 2496), =($10, _UTF-16LE'MFGR#12'), =($14, _UTF-16LE'AMERICA'))])
+ HiveFilter(condition=[AND(=(CAST($18):BIGINT NOT NULL, 2496), =('AMERICA', $14), =('MFGR#12', $10))])
HiveTableScan(table=[[default, ssb_mv_n3]], table:alias=[default.ssb_mv_n3])
PREHOOK: query: explain cbo
@@ -873,7 +873,7 @@ CBO PLAN:
HiveSortLimit(sort0=[$1], sort1=[$2], dir0=[ASC], dir1=[ASC])
HiveProject(lo_revenue=[$2], d_year=[$0], p_brand1=[$1])
HiveAggregate(group=[{4, 9}], agg#0=[sum($15)])
- HiveFilter(condition=[AND(=(CAST($18):BIGINT NOT NULL, 2496), BETWEEN(false, $9, _UTF-16LE'MFGR#2221':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'MFGR#2228':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), =($14, _UTF-16LE'ASIA'))])
+ HiveFilter(condition=[AND(=(CAST($18):BIGINT NOT NULL, 2496), =($14, 'ASIA'), BETWEEN(false, $9, 'MFGR#2221':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'MFGR#2228':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"))])
HiveTableScan(table=[[default, ssb_mv_n3]], table:alias=[default.ssb_mv_n3])
PREHOOK: query: explain cbo
@@ -921,11 +921,11 @@ POSTHOOK: Input: default@ssb_part_n3
POSTHOOK: Input: default@supplier_n3
#### A masked pattern was here ####
CBO PLAN:
-HiveProject(lo_revenue=[$0], d_year=[$1], p_brand1=[CAST(_UTF-16LE'MFGR#2239':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
+HiveProject(lo_revenue=[$0], d_year=[$1], p_brand1=[CAST('MFGR#2239':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
HiveSortLimit(sort0=[$1], dir0=[ASC])
HiveProject(lo_revenue=[$1], d_year=[$0])
HiveAggregate(group=[{4}], agg#0=[sum($15)])
- HiveFilter(condition=[AND(=(CAST($18):BIGINT NOT NULL, 2496), =($9, _UTF-16LE'MFGR#2239'), =($14, _UTF-16LE'EUROPE'))])
+ HiveFilter(condition=[AND(=(CAST($18):BIGINT NOT NULL, 2496), =('EUROPE', $14), =('MFGR#2239', $9))])
HiveTableScan(table=[[default, ssb_mv_n3]], table:alias=[default.ssb_mv_n3])
PREHOOK: query: explain cbo
@@ -980,7 +980,7 @@ CBO PLAN:
HiveSortLimit(sort0=[$2], sort1=[$3], dir0=[ASC], dir1=[DESC])
HiveProject(c_nation=[$0], s_nation=[$2], d_year=[$1], lo_revenue=[$3])
HiveAggregate(group=[{1, 4, 13}], agg#0=[sum($15)])
- HiveFilter(condition=[AND(=(CAST($18):BIGINT NOT NULL, 2496), BETWEEN(false, $4, 1992, 1997), =($2, _UTF-16LE'ASIA'), =($14, _UTF-16LE'ASIA'))])
+ HiveFilter(condition=[AND(=(CAST($18):BIGINT NOT NULL, 2496), =($2, 'ASIA'), =($14, 'ASIA'), BETWEEN(false, $4, 1992, 1997))])
HiveTableScan(table=[[default, ssb_mv_n3]], table:alias=[default.ssb_mv_n3])
PREHOOK: query: explain cbo
@@ -1033,7 +1033,7 @@ CBO PLAN:
HiveSortLimit(sort0=[$2], sort1=[$3], dir0=[ASC], dir1=[DESC])
HiveProject(c_city=[$0], s_city=[$2], d_year=[$1], lo_revenue=[$3])
HiveAggregate(group=[{0, 4, 12}], agg#0=[sum($15)])
- HiveFilter(condition=[AND(=(CAST($18):BIGINT NOT NULL, 2496), BETWEEN(false, $4, 1992, 1997), =($1, _UTF-16LE'UNITED STATES'), =($13, _UTF-16LE'UNITED STATES'))])
+ HiveFilter(condition=[AND(=(CAST($18):BIGINT NOT NULL, 2496), =($1, 'UNITED STATES'), =($13, 'UNITED STATES'), BETWEEN(false, $4, 1992, 1997))])
HiveTableScan(table=[[default, ssb_mv_n3]], table:alias=[default.ssb_mv_n3])
PREHOOK: query: explain cbo
@@ -1086,7 +1086,7 @@ CBO PLAN:
HiveSortLimit(sort0=[$2], sort1=[$3], dir0=[ASC], dir1=[DESC])
HiveProject(c_city=[$0], s_city=[$2], d_year=[$1], lo_revenue=[$3])
HiveAggregate(group=[{0, 4, 12}], agg#0=[sum($15)])
- HiveFilter(condition=[AND(=(CAST($18):BIGINT NOT NULL, 2496), BETWEEN(false, $4, 1992, 1997), IN($0, _UTF-16LE'UNITED KI1':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'UNITED KI5':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), IN($12, _UTF-16LE'UNITED KI1':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'UNITED KI5':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"))])
+ HiveFilter(condition=[AND(=(CAST($18):BIGINT NOT NULL, 2496), BETWEEN(false, $4, 1992, 1997), IN($0, 'UNITED KI1':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'UNITED KI5':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), IN($12, 'UNITED KI1':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'UNITED KI5':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"))])
HiveTableScan(table=[[default, ssb_mv_n3]], table:alias=[default.ssb_mv_n3])
PREHOOK: query: explain cbo
@@ -1139,7 +1139,7 @@ CBO PLAN:
HiveSortLimit(sort0=[$2], sort1=[$3], dir0=[ASC], dir1=[DESC])
HiveProject(c_city=[$0], s_city=[$2], d_year=[$1], lo_revenue=[$3])
HiveAggregate(group=[{0, 4, 12}], agg#0=[sum($15)])
- HiveFilter(condition=[AND(=(CAST($18):BIGINT NOT NULL, 2496), =($5, _UTF-16LE'Dec1997'), IN($0, _UTF-16LE'UNITED KI1':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'UNITED KI5':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), IN($12, _UTF-16LE'UNITED KI1':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'UNITED KI5':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"))])
+ HiveFilter(condition=[AND(=(CAST($18):BIGINT NOT NULL, 2496), =($5, 'Dec1997'), IN($0, 'UNITED KI1':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'UNITED KI5':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), IN($12, 'UNITED KI1':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'UNITED KI5':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"))])
HiveTableScan(table=[[default, ssb_mv_n3]], table:alias=[default.ssb_mv_n3])
PREHOOK: query: explain cbo
@@ -1198,7 +1198,7 @@ CBO PLAN:
HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC])
HiveProject(d_year=[$1], c_nation=[$0], profit=[$2])
HiveAggregate(group=[{1, 4}], agg#0=[sum($17)])
- HiveFilter(condition=[AND(=(CAST($18):BIGINT NOT NULL, 2496), =($2, _UTF-16LE'AMERICA'), =($14, _UTF-16LE'AMERICA'), IN($11, _UTF-16LE'MFGR#1':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'MFGR#2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"))])
+ HiveFilter(condition=[AND(=(CAST($18):BIGINT NOT NULL, 2496), =($2, 'AMERICA'), =($14, 'AMERICA'), IN($11, 'MFGR#1':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'MFGR#2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"))])
HiveTableScan(table=[[default, ssb_mv_n3]], table:alias=[default.ssb_mv_n3])
PREHOOK: query: explain cbo
@@ -1259,7 +1259,7 @@ CBO PLAN:
HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[ASC], dir1=[ASC], dir2=[ASC])
HiveProject(d_year=[$0], s_nation=[$2], p_category=[$1], profit=[$3])
HiveAggregate(group=[{4, 10, 13}], agg#0=[sum($17)])
- HiveFilter(condition=[AND(=(CAST($18):BIGINT NOT NULL, 2496), =($2, _UTF-16LE'AMERICA'), =($14, _UTF-16LE'AMERICA'), IN($4, 1997, 1998), IN($11, _UTF-16LE'MFGR#1':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'MFGR#2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"))])
+ HiveFilter(condition=[AND(=(CAST($18):BIGINT NOT NULL, 2496), =($2, 'AMERICA'), =($14, 'AMERICA'), IN($11, 'MFGR#1':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'MFGR#2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), IN($4, 1997, 1998))])
HiveTableScan(table=[[default, ssb_mv_n3]], table:alias=[default.ssb_mv_n3])
PREHOOK: query: explain cbo
@@ -1320,7 +1320,7 @@ CBO PLAN:
HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[ASC], dir1=[ASC], dir2=[ASC])
HiveProject(d_year=[$0], s_city=[$2], p_brand1=[$1], profit=[$3])
HiveAggregate(group=[{4, 9, 12}], agg#0=[sum($17)])
- HiveFilter(condition=[AND(=(CAST($18):BIGINT NOT NULL, 2496), =($2, _UTF-16LE'AMERICA'), =($10, _UTF-16LE'MFGR#14'), =($13, _UTF-16LE'UNITED STATES'), IN($4, 1997, 1998))])
+ HiveFilter(condition=[AND(=(CAST($18):BIGINT NOT NULL, 2496), =($2, 'AMERICA'), =($10, 'MFGR#14'), =($13, 'UNITED STATES'), IN($4, 1997, 1998))])
HiveTableScan(table=[[default, ssb_mv_n3]], table:alias=[default.ssb_mv_n3])
PREHOOK: query: DROP MATERIALIZED VIEW `ssb_mv_n3`
diff --git a/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_ssb_grouping_sets_2.q.out b/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_ssb_grouping_sets_2.q.out
index 7d4a3dd58be6..6ab26d57c652 100644
--- a/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_ssb_grouping_sets_2.q.out
+++ b/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_ssb_grouping_sets_2.q.out
@@ -668,7 +668,7 @@ CBO PLAN:
HiveSortLimit(sort0=[$1], sort1=[$2], dir0=[ASC], dir1=[ASC])
HiveProject(lo_revenue=[$2], d_year=[$1], p_brand1=[$0])
HiveAggregate(group=[{0, 7}], agg#0=[sum($9)])
- HiveFilter(condition=[AND(=(CAST($8):BIGINT NOT NULL, 0), =($1, _UTF-16LE'MFGR#12'), =($4, _UTF-16LE'AMERICA'))])
+ HiveFilter(condition=[AND(=(CAST($8):BIGINT NOT NULL, 0), =('AMERICA', $4), =('MFGR#12', $1))])
HiveTableScan(table=[[default, ssb_mv_n4]], table:alias=[default.ssb_mv_n4])
PREHOOK: query: explain cbo
@@ -719,7 +719,7 @@ CBO PLAN:
HiveSortLimit(sort0=[$1], sort1=[$2], dir0=[ASC], dir1=[ASC])
HiveProject(lo_revenue=[$2], d_year=[$1], p_brand1=[$0])
HiveAggregate(group=[{0, 7}], agg#0=[sum($9)])
- HiveFilter(condition=[AND(=(CAST($8):BIGINT NOT NULL, 0), BETWEEN(false, $0, _UTF-16LE'MFGR#2221':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'MFGR#2228':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), =($4, _UTF-16LE'ASIA'))])
+ HiveFilter(condition=[AND(=(CAST($8):BIGINT NOT NULL, 0), =($4, 'ASIA'), BETWEEN(false, $0, 'MFGR#2221':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'MFGR#2228':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"))])
HiveTableScan(table=[[default, ssb_mv_n4]], table:alias=[default.ssb_mv_n4])
PREHOOK: query: explain cbo
@@ -767,11 +767,11 @@ POSTHOOK: Input: default@ssb_part_n4
POSTHOOK: Input: default@supplier_n4
#### A masked pattern was here ####
CBO PLAN:
-HiveProject(lo_revenue=[$0], d_year=[$1], p_brand1=[CAST(_UTF-16LE'MFGR#2239':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
+HiveProject(lo_revenue=[$0], d_year=[$1], p_brand1=[CAST('MFGR#2239':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
HiveSortLimit(sort0=[$1], dir0=[ASC])
HiveProject(lo_revenue=[$1], d_year=[$0])
HiveAggregate(group=[{7}], agg#0=[sum($9)])
- HiveFilter(condition=[AND(=(CAST($8):BIGINT NOT NULL, 0), =($0, _UTF-16LE'MFGR#2239'), =($4, _UTF-16LE'EUROPE'))])
+ HiveFilter(condition=[AND(=(CAST($8):BIGINT NOT NULL, 0), =('EUROPE', $4), =('MFGR#2239', $0))])
HiveTableScan(table=[[default, ssb_mv_n4]], table:alias=[default.ssb_mv_n4])
PREHOOK: query: DROP MATERIALIZED VIEW `ssb_mv_n4`
diff --git a/ql/src/test/results/clientpositive/llap/multi_count_distinct_null.q.out b/ql/src/test/results/clientpositive/llap/multi_count_distinct_null.q.out
index 38d7f628de00..8ac79787a132 100644
--- a/ql/src/test/results/clientpositive/llap/multi_count_distinct_null.q.out
+++ b/ql/src/test/results/clientpositive/llap/multi_count_distinct_null.q.out
@@ -25,9 +25,9 @@ POSTHOOK: Output: hdfs://### HDFS PATH ###
CBO PLAN:
HiveProject(_c0=[$0], _c1=[$1])
HiveAggregate(group=[{}], agg#0=[count($0)], agg#1=[count($1)])
- HiveProject($f0=[CASE(=($2, 1), 1, null:INTEGER)], $f1=[null:INTEGER])
+ HiveProject($f0=[CASE(=($2, 1), 1, null:INTEGER)], $f1=[CASE(AND(=($2, 2), IS NOT NULL($1)), 1, null:INTEGER)])
HiveAggregate(group=[{0, 1}], groups=[[{0}, {1}]], GROUPING__ID=[GROUPING__ID()])
- HiveProject($f0=[true], $f1=[true])
+ HiveProject($f0=[0], $f1=[null:NULL])
HiveTableScan(table=[[default, employee]], table:alias=[employee])
PREHOOK: query: select count(distinct 0), count(distinct null) from employee
diff --git a/ql/src/test/results/clientpositive/llap/multi_in_clause.q.out b/ql/src/test/results/clientpositive/llap/multi_in_clause.q.out
index 3bf26bd97d67..102d84d7db6b 100644
--- a/ql/src/test/results/clientpositive/llap/multi_in_clause.q.out
+++ b/ql/src/test/results/clientpositive/llap/multi_in_clause.q.out
@@ -82,7 +82,7 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: default@very_simple_table_for_in_test
#### A masked pattern was here ####
CBO PLAN:
-HiveProject(_c0=[AND(null, IS NULL($0), IN($1, _UTF-16LE'x':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'y':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"))])
+HiveProject(_c0=[AND(null, IS NULL($0), IN($1, 'x':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'y':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"))])
HiveTableScan(table=[[default, very_simple_table_for_in_test]], table:alias=[very_simple_table_for_in_test])
PREHOOK: query: select name IN('g','r') AND name IN('a','b') AND othername IN('x', 'y') from very_simple_table_for_in_test
diff --git a/ql/src/test/results/clientpositive/llap/murmur_hash_migration2.q.out b/ql/src/test/results/clientpositive/llap/murmur_hash_migration2.q.out
index e7ab8dabb9c6..12ca205166d6 100644
--- a/ql/src/test/results/clientpositive/llap/murmur_hash_migration2.q.out
+++ b/ql/src/test/results/clientpositive/llap/murmur_hash_migration2.q.out
@@ -19,7 +19,7 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: _dummy_database@_dummy_table
POSTHOOK: Output: default@acid_ptn_bucket1
OPTIMIZED SQL: SELECT *
-FROM TABLE(INLINE(ARRAY[(1, 2, 'today'), (1, 3, 'today'), (1, 4, 'yesterday'), (2, 2, 'yesterday'), (2, 3, 'today'), (2, 4, 'today')]))
+FROM TABLE(INLINE(ARRAY ((1, 2, 'today'), (1, 3, 'today'), (1, 4, 'yesterday'), (2, 2, 'yesterday'), (2, 3, 'today'), (2, 4, 'today'))))
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-2 depends on stages: Stage-1
diff --git a/ql/src/test/results/clientpositive/llap/nested_column_pruning.q.out b/ql/src/test/results/clientpositive/llap/nested_column_pruning.q.out
index 8bea70caf714..e6c25965917a 100644
--- a/ql/src/test/results/clientpositive/llap/nested_column_pruning.q.out
+++ b/ql/src/test/results/clientpositive/llap/nested_column_pruning.q.out
@@ -1113,10 +1113,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: t2
- filterExpr: (s1.f6 is not null and (not s2.f8.f9)) (type: boolean)
+ filterExpr: ((not s2.f8.f9) and s1.f6 is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 1468 Basic stats: COMPLETE Column stats: NONE
Filter Operator
- predicate: (s1.f6 is not null and (not s2.f8.f9)) (type: boolean)
+ predicate: ((not s2.f8.f9) and s1.f6 is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 1468 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s1 (type: struct,f6:int>), s2 (type: struct,f11:map>>)
diff --git a/ql/src/test/results/clientpositive/llap/offset_limit_global_optimizer.q.out b/ql/src/test/results/clientpositive/llap/offset_limit_global_optimizer.q.out
index 5300b89cce31..9a016d2f5d1d 100644
--- a/ql/src/test/results/clientpositive/llap/offset_limit_global_optimizer.q.out
+++ b/ql/src/test/results/clientpositive/llap/offset_limit_global_optimizer.q.out
@@ -18,7 +18,7 @@ POSTHOOK: Input: default@srcpart@ds=2008-04-09/hr=12
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT `key` AS `srcpart.key`, SUBSTR(`value`, 5) AS `csubstr`, `ds`, `hr`
FROM `default`.`srcpart`
-ORDER BY `key`, SUBSTR(`value`, 5), `ds`, `hr`
+ORDER BY `key`, 2, `ds`, `hr`
LIMIT 10
OFFSET 400
STAGE DEPENDENCIES:
@@ -301,7 +301,7 @@ POSTHOOK: Input: default@srcpart@ds=2008-04-09/hr=12
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT `key` AS `srcpart.key`, SUBSTR(`value`, 5) AS `csubstr`, `ds`, `hr`
FROM `default`.`srcpart`
-ORDER BY `key`, SUBSTR(`value`, 5), `ds`, `hr`
+ORDER BY `key`, 2, `ds`, `hr`
LIMIT 10
OFFSET 490
STAGE DEPENDENCIES:
@@ -584,7 +584,7 @@ POSTHOOK: Input: default@srcpart@ds=2008-04-09/hr=12
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT `key` AS `srcpart.key`, SUBSTR(`value`, 5) AS `csubstr`, `ds`, `hr`
FROM `default`.`srcpart`
-ORDER BY `key`, SUBSTR(`value`, 5), `ds`, `hr`
+ORDER BY `key`, 2, `ds`, `hr`
LIMIT 20
OFFSET 490
STAGE DEPENDENCIES:
@@ -877,7 +877,7 @@ POSTHOOK: Input: default@srcpart@ds=2008-04-09/hr=12
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT `key` AS `srcpart.key`, SUBSTR(`value`, 5) AS `csubstr`, `ds`, `hr`
FROM `default`.`srcpart`
-ORDER BY `key`, SUBSTR(`value`, 5), `ds`, `hr`
+ORDER BY `key`, 2, `ds`, `hr`
LIMIT 600
OFFSET 490
STAGE DEPENDENCIES:
diff --git a/ql/src/test/results/clientpositive/llap/optimize_join_ptp.q.out b/ql/src/test/results/clientpositive/llap/optimize_join_ptp.q.out
index 509c99f4cc07..ae9bb89227b1 100644
--- a/ql/src/test/results/clientpositive/llap/optimize_join_ptp.q.out
+++ b/ql/src/test/results/clientpositive/llap/optimize_join_ptp.q.out
@@ -62,10 +62,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: t1_n97
- filterExpr: ((k < 15) and UDFToDouble(k) is not null) (type: boolean)
+ filterExpr: (k < 15) (type: boolean)
Statistics: Num rows: 3 Data size: 285 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((k < 15) and UDFToDouble(k) is not null) (type: boolean)
+ predicate: (k < 15) (type: boolean)
Statistics: Num rows: 1 Data size: 95 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: v (type: string), k (type: int)
diff --git a/ql/src/test/results/clientpositive/llap/orc_nested_column_pruning.q.out b/ql/src/test/results/clientpositive/llap/orc_nested_column_pruning.q.out
index cf072186c1ab..9c3818ff2482 100644
--- a/ql/src/test/results/clientpositive/llap/orc_nested_column_pruning.q.out
+++ b/ql/src/test/results/clientpositive/llap/orc_nested_column_pruning.q.out
@@ -1113,10 +1113,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: t2
- filterExpr: (s1.f6 is not null and (not s2.f8.f9)) (type: boolean)
+ filterExpr: ((not s2.f8.f9) and s1.f6 is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 1468 Basic stats: COMPLETE Column stats: NONE
Filter Operator
- predicate: (s1.f6 is not null and (not s2.f8.f9)) (type: boolean)
+ predicate: ((not s2.f8.f9) and s1.f6 is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 1468 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s1 (type: struct,f6:int>), s2 (type: struct,f11:map>>)
diff --git a/ql/src/test/results/clientpositive/llap/orc_predicate_pushdown.q.out b/ql/src/test/results/clientpositive/llap/orc_predicate_pushdown.q.out
index cb2d50d73666..33d820d06c67 100644
--- a/ql/src/test/results/clientpositive/llap/orc_predicate_pushdown.q.out
+++ b/ql/src/test/results/clientpositive/llap/orc_predicate_pushdown.q.out
@@ -511,7 +511,7 @@ STAGE PLANS:
TableScan
alias: orc_pred
Filter Operator
- predicate: ((t IS NOT DISTINCT FROM -1Y) and (s like 'bob%') and s is not null) (type: boolean)
+ predicate: ((t = -1Y) and (s like 'bob%')) (type: boolean)
Select Operator
expressions: -1Y (type: tinyint), s (type: string)
outputColumnNames: _col0, _col1
@@ -541,9 +541,9 @@ STAGE PLANS:
Processor Tree:
TableScan
alias: orc_pred
- filterExpr: ((t IS NOT DISTINCT FROM -1Y) and (s like 'bob%') and s is not null) (type: boolean)
+ filterExpr: ((t = -1Y) and (s like 'bob%')) (type: boolean)
Filter Operator
- predicate: ((t IS NOT DISTINCT FROM -1Y) and (s like 'bob%') and s is not null) (type: boolean)
+ predicate: ((t = -1Y) and (s like 'bob%')) (type: boolean)
Select Operator
expressions: -1Y (type: tinyint), s (type: string)
outputColumnNames: _col0, _col1
@@ -627,7 +627,7 @@ STAGE PLANS:
alias: orc_pred
Statistics: Num rows: 1049 Data size: 105941 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (UDFToInteger(t) BETWEEN 25 AND 30 and (s like 'bob%') and (t <> -3Y) and (t <> -2Y) and (t <> -1Y) and s is not null) (type: boolean)
+ predicate: (UDFToInteger(t) BETWEEN 25 AND 30 and (s like 'bob%') and (t <> -3Y) and (t <> -2Y) and (t <> -1Y)) (type: boolean)
Statistics: Num rows: 262 Data size: 26462 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: t (type: tinyint), s (type: string)
@@ -695,10 +695,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: orc_pred
- filterExpr: (UDFToInteger(t) BETWEEN 25 AND 30 and (s like 'bob%') and (t <> -3Y) and (t <> -2Y) and (t <> -1Y) and s is not null) (type: boolean)
+ filterExpr: (UDFToInteger(t) BETWEEN 25 AND 30 and (s like 'bob%') and (t <> -3Y) and (t <> -2Y) and (t <> -1Y)) (type: boolean)
Statistics: Num rows: 1049 Data size: 105941 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (UDFToInteger(t) BETWEEN 25 AND 30 and (s like 'bob%') and (t <> -3Y) and (t <> -2Y) and (t <> -1Y) and s is not null) (type: boolean)
+ predicate: (UDFToInteger(t) BETWEEN 25 AND 30 and (s like 'bob%') and (t <> -3Y) and (t <> -2Y) and (t <> -1Y)) (type: boolean)
Statistics: Num rows: 262 Data size: 26462 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: t (type: tinyint), s (type: string)
diff --git a/ql/src/test/results/clientpositive/llap/order_by_expr_2.q.out b/ql/src/test/results/clientpositive/llap/order_by_expr_2.q.out
index b58039a7f752..e5c6516fcfe8 100644
--- a/ql/src/test/results/clientpositive/llap/order_by_expr_2.q.out
+++ b/ql/src/test/results/clientpositive/llap/order_by_expr_2.q.out
@@ -141,7 +141,7 @@ HiveProject(c0=[$0], c1=[$1], c2=[$2])
HiveSortLimit(sort0=[$3], dir0=[ASC])
HiveProject(c0=[$0], c1=[$1], c2=[$2], (tok_function when (= (tok_table_or_col store_name) 'HQ') tok_null (tok_table_or_col store_name))=[$1])
HiveAggregate(group=[{0, 1, 2}])
- HiveProject($f0=[$0], $f1=[CASE(=($0, _UTF-16LE'HQ'), null:VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0)], $f2=[$1])
+ HiveProject($f0=[$0], $f1=[CASE(=($0, 'HQ'), null:VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0)], $f2=[$1])
HiveTableScan(table=[[default, store]], table:alias=[store])
PREHOOK: query: select store.store_name as c0, case store_name when 'HQ' then null else store_name end as c1,
@@ -183,9 +183,9 @@ POSTHOOK: Input: default@store
CBO PLAN:
HiveProject(c0=[$0], c1=[$1], c2=[$2])
HiveSortLimit(sort0=[$3], dir0=[ASC])
- HiveProject(c0=[$0], c1=[$1], c2=[$2], (tok_function when (= (tok_table_or_col store_name) 'hq') tok_null (tok_table_or_col store_name))0=[CASE(=($0, _UTF-16LE'hq'), null:VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0)])
+ HiveProject(c0=[$0], c1=[$1], c2=[$2], (tok_function when (= (tok_table_or_col store_name) 'hq') tok_null (tok_table_or_col store_name))0=[CASE(=($0, 'hq'), null:VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0)])
HiveAggregate(group=[{0, 1, 2}])
- HiveProject($f0=[$0], $f1=[CASE(=($0, _UTF-16LE'HQ'), null:VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0)], $f2=[$1])
+ HiveProject($f0=[$0], $f1=[CASE(=($0, 'HQ'), null:VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0)], $f2=[$1])
HiveTableScan(table=[[default, store]], table:alias=[store])
PREHOOK: query: select store.store_name as c0, case store_name when 'HQ' then null else store_name end as c1,
@@ -228,7 +228,7 @@ CBO PLAN:
HiveSortLimit(sort0=[$1], dir0=[ASC])
HiveProject(c0=[$0], c1=[$1], c2=[$2])
HiveAggregate(group=[{0, 1, 2}])
- HiveProject($f0=[$0], $f1=[CASE(=($0, _UTF-16LE'HQ'), null:VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0)], $f2=[$1])
+ HiveProject($f0=[$0], $f1=[CASE(=($0, 'HQ'), null:VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0)], $f2=[$1])
HiveTableScan(table=[[default, store]], table:alias=[store])
PREHOOK: query: select store.store_name as c0, case store_name when 'HQ' then null else store_name end as c1,
diff --git a/ql/src/test/results/clientpositive/llap/outer_join_ppr.q.out b/ql/src/test/results/clientpositive/llap/outer_join_ppr.q.out
index 8ff5ce57c388..a06ee2647902 100644
--- a/ql/src/test/results/clientpositive/llap/outer_join_ppr.q.out
+++ b/ql/src/test/results/clientpositive/llap/outer_join_ppr.q.out
@@ -29,10 +29,10 @@ POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=12
OPTIMIZED SQL: SELECT `t0`.`key` AS `a.key`, `t0`.`value` AS `a.value`, `t2`.`key` AS `b.key`, `t2`.`value` AS `b.value`
FROM (SELECT `key`, `value`
FROM `default`.`src`
-WHERE `key` > 15 AND `key` < 20 AND `key` IS NOT NULL) AS `t0`
+WHERE `key` > 1.50E1 AND `key` < 2.00E1) AS `t0`
INNER JOIN (SELECT `key`, `value`
FROM `default`.`srcpart`
-WHERE `key` > 15 AND `key` < 20 AND `ds` = '2008-04-08' AND `key` IS NOT NULL) AS `t2` ON `t0`.`key` = `t2`.`key`
+WHERE `key` > 1.50E1 AND `key` < 2.00E1 AND `ds` = '2008-04-08') AS `t2` ON `t0`.`key` = `t2`.`key`
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -331,10 +331,10 @@ POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=12
OPTIMIZED SQL: SELECT `t0`.`key` AS `a.key`, `t0`.`value` AS `a.value`, `t2`.`key` AS `b.key`, `t2`.`value` AS `b.value`
FROM (SELECT `key`, `value`
FROM `default`.`src`
-WHERE `key` > 15 AND `key` < 20 AND `key` IS NOT NULL) AS `t0`
+WHERE `key` > 1.50E1 AND `key` < 2.00E1) AS `t0`
INNER JOIN (SELECT `key`, `value`
FROM `default`.`srcpart`
-WHERE `key` > 15 AND `key` < 20 AND `ds` = '2008-04-08' AND `key` IS NOT NULL) AS `t2` ON `t0`.`key` = `t2`.`key`
+WHERE `key` > 1.50E1 AND `key` < 2.00E1 AND `ds` = '2008-04-08') AS `t2` ON `t0`.`key` = `t2`.`key`
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
diff --git a/ql/src/test/results/clientpositive/llap/parquet_predicate_pushdown.q.out b/ql/src/test/results/clientpositive/llap/parquet_predicate_pushdown.q.out
index 4858f10aa63a..52c1c2f2e98a 100644
--- a/ql/src/test/results/clientpositive/llap/parquet_predicate_pushdown.q.out
+++ b/ql/src/test/results/clientpositive/llap/parquet_predicate_pushdown.q.out
@@ -445,7 +445,7 @@ STAGE PLANS:
TableScan
alias: tbl_pred
Filter Operator
- predicate: ((t IS NOT DISTINCT FROM -1Y) and (s like 'bob%') and s is not null) (type: boolean)
+ predicate: ((t = -1Y) and (s like 'bob%')) (type: boolean)
Select Operator
expressions: -1Y (type: tinyint), s (type: string)
outputColumnNames: _col0, _col1
@@ -475,9 +475,9 @@ STAGE PLANS:
Processor Tree:
TableScan
alias: tbl_pred
- filterExpr: ((t IS NOT DISTINCT FROM -1Y) and (s like 'bob%') and s is not null) (type: boolean)
+ filterExpr: ((t = -1Y) and (s like 'bob%')) (type: boolean)
Filter Operator
- predicate: ((t IS NOT DISTINCT FROM -1Y) and (s like 'bob%') and s is not null) (type: boolean)
+ predicate: ((t = -1Y) and (s like 'bob%')) (type: boolean)
Select Operator
expressions: -1Y (type: tinyint), s (type: string)
outputColumnNames: _col0, _col1
@@ -561,7 +561,7 @@ STAGE PLANS:
alias: tbl_pred
Statistics: Num rows: 1049 Data size: 105941 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (UDFToInteger(t) BETWEEN 25 AND 30 and (s like 'bob%') and (t <> -3Y) and (t <> -2Y) and (t <> -1Y) and s is not null) (type: boolean)
+ predicate: (UDFToInteger(t) BETWEEN 25 AND 30 and (s like 'bob%') and (t <> -3Y) and (t <> -2Y) and (t <> -1Y)) (type: boolean)
Statistics: Num rows: 262 Data size: 26462 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: t (type: tinyint), s (type: string)
@@ -629,10 +629,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: tbl_pred
- filterExpr: (UDFToInteger(t) BETWEEN 25 AND 30 and (s like 'bob%') and (t <> -3Y) and (t <> -2Y) and (t <> -1Y) and s is not null) (type: boolean)
+ filterExpr: (UDFToInteger(t) BETWEEN 25 AND 30 and (s like 'bob%') and (t <> -3Y) and (t <> -2Y) and (t <> -1Y)) (type: boolean)
Statistics: Num rows: 1049 Data size: 105941 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (UDFToInteger(t) BETWEEN 25 AND 30 and (s like 'bob%') and (t <> -3Y) and (t <> -2Y) and (t <> -1Y) and s is not null) (type: boolean)
+ predicate: (UDFToInteger(t) BETWEEN 25 AND 30 and (s like 'bob%') and (t <> -3Y) and (t <> -2Y) and (t <> -1Y)) (type: boolean)
Statistics: Num rows: 262 Data size: 26462 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: t (type: tinyint), s (type: string)
diff --git a/ql/src/test/results/clientpositive/llap/parquet_vectorization_0.q.out b/ql/src/test/results/clientpositive/llap/parquet_vectorization_0.q.out
index 3d01120514a3..7856eb00b5c1 100644
--- a/ql/src/test/results/clientpositive/llap/parquet_vectorization_0.q.out
+++ b/ql/src/test/results/clientpositive/llap/parquet_vectorization_0.q.out
@@ -1211,7 +1211,7 @@ POSTHOOK: Input: default@alltypesparquet
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT COUNT(*) AS `_c0`
FROM `default`.`alltypesparquet`
-WHERE `cstring1` LIKE 'a%' OR `cstring1` LIKE 'b%' OR `cstring1` LIKE 'c%' OR CHARACTER_LENGTH(`cstring1`) < 50 AND `cstring1` LIKE '%n' AND CHARACTER_LENGTH(`cstring1`) > 0
+WHERE `cstring1` LIKE 'a%' OR `cstring1` LIKE 'b%' OR `cstring1` LIKE 'c%' OR CHARACTER_LENGTH(`cstring1`) > 0 AND CHARACTER_LENGTH(`cstring1`) < 50 AND `cstring1` LIKE '%n'
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -1228,12 +1228,12 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: alltypesparquet
- filterExpr: ((cstring1 like 'a%') or (cstring1 like 'b%') or (cstring1 like 'c%') or ((length(cstring1) < 50) and (cstring1 like '%n') and (length(cstring1) > 0))) (type: boolean)
+ filterExpr: ((cstring1 like 'a%') or (cstring1 like 'b%') or (cstring1 like 'c%') or ((length(cstring1) > 0) and (length(cstring1) < 50) and (cstring1 like '%n'))) (type: boolean)
Statistics: Num rows: 12288 Data size: 862450 Basic stats: COMPLETE Column stats: COMPLETE
GatherStats: false
Filter Operator
isSamplingPred: false
- predicate: ((cstring1 like 'a%') or (cstring1 like 'b%') or (cstring1 like 'c%') or ((length(cstring1) < 50) and (cstring1 like '%n') and (length(cstring1) > 0))) (type: boolean)
+ predicate: ((cstring1 like 'a%') or (cstring1 like 'b%') or (cstring1 like 'c%') or ((length(cstring1) > 0) and (length(cstring1) < 50) and (cstring1 like '%n'))) (type: boolean)
Statistics: Num rows: 12288 Data size: 862450 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
Statistics: Num rows: 12288 Data size: 862450 Basic stats: COMPLETE Column stats: COMPLETE
@@ -30022,7 +30022,7 @@ POSTHOOK: Input: default@alltypesparquet
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT `ctinyint` AS `alltypesparquet.ctinyint`, `csmallint` AS `alltypesparquet.csmallint`, `cint` AS `alltypesparquet.cint`, `cbigint` AS `alltypesparquet.cbigint`, `cfloat` AS `alltypesparquet.cfloat`, `cdouble` AS `alltypesparquet.cdouble`, `cstring1` AS `alltypesparquet.cstring1`, `cstring2` AS `alltypesparquet.cstring2`, `ctimestamp1` AS `alltypesparquet.ctimestamp1`, `ctimestamp2` AS `alltypesparquet.ctimestamp2`, `cboolean1` AS `alltypesparquet.cboolean1`, `cboolean2` AS `alltypesparquet.cboolean2`
FROM `default`.`alltypesparquet`
-WHERE `cint` = 49 AND `cfloat` = 3.5 OR `cint` = 47 AND `cfloat` = 2.09 OR `cint` = 45 AND `cfloat` = 3.02
+WHERE `cint` = 49 AND `cfloat` = 3.5E0 OR `cint` = 47 AND `cfloat` = 2.09E0 OR `cint` = 45 AND `cfloat` = 3.02E0
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -30133,7 +30133,7 @@ POSTHOOK: Input: default@alltypesparquet
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT `ctinyint` AS `alltypesparquet.ctinyint`, `csmallint` AS `alltypesparquet.csmallint`, `cint` AS `alltypesparquet.cint`, `cbigint` AS `alltypesparquet.cbigint`, `cfloat` AS `alltypesparquet.cfloat`, `cdouble` AS `alltypesparquet.cdouble`, `cstring1` AS `alltypesparquet.cstring1`, `cstring2` AS `alltypesparquet.cstring2`, `ctimestamp1` AS `alltypesparquet.ctimestamp1`, `ctimestamp2` AS `alltypesparquet.ctimestamp2`, `cboolean1` AS `alltypesparquet.cboolean1`, `cboolean2` AS `alltypesparquet.cboolean2`
FROM `default`.`alltypesparquet`
-WHERE (`cint`, `cfloat`) IN ((49, 3.5), (47, 2.09), (45, 3.02))
+WHERE (`cint`, `cfloat`) IN ((49, 3.5E0), (47, 2.09E0), (45, 3.02E0))
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -30244,7 +30244,7 @@ POSTHOOK: Input: default@alltypesparquet
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT `ctinyint` AS `alltypesparquet.ctinyint`, `csmallint` AS `alltypesparquet.csmallint`, `cint` AS `alltypesparquet.cint`, `cbigint` AS `alltypesparquet.cbigint`, `cfloat` AS `alltypesparquet.cfloat`, `cdouble` AS `alltypesparquet.cdouble`, `cstring1` AS `alltypesparquet.cstring1`, `cstring2` AS `alltypesparquet.cstring2`, `ctimestamp1` AS `alltypesparquet.ctimestamp1`, `ctimestamp2` AS `alltypesparquet.ctimestamp2`, `cboolean1` AS `alltypesparquet.cboolean1`, `cboolean2` AS `alltypesparquet.cboolean2`
FROM `default`.`alltypesparquet`
-WHERE (`cint` = 49 OR `cfloat` = 3.5) AND (`cint` = 47 OR `cfloat` = 2.09) AND (`cint` = 45 OR `cfloat` = 3.02)
+WHERE (`cint` = 49 OR `cfloat` = 3.5E0) AND (`cint` = 47 OR `cfloat` = 2.09E0) AND (`cint` = 45 OR `cfloat` = 3.02E0)
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
diff --git a/ql/src/test/results/clientpositive/llap/partition_explain_ddl.q.out b/ql/src/test/results/clientpositive/llap/partition_explain_ddl.q.out
index 86a09dc3e301..b46a36a51793 100644
--- a/ql/src/test/results/clientpositive/llap/partition_explain_ddl.q.out
+++ b/ql/src/test/results/clientpositive/llap/partition_explain_ddl.q.out
@@ -162,8 +162,8 @@ EXPLAIN CBO select * from add_part_test where ds='2010-01-01';
EXPLAIN VECTORIZED select * from add_part_test where ds='2010-01-01';
-CBO PLAN:HiveProject(add_part_test.key=[$0], add_part_test.value=[$1], add_part_test.ds=[CAST(_UTF-16LE'2010-01-01':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
- HiveFilter(condition=[=($2, _UTF-16LE'2010-01-01')])
+CBO PLAN:HiveProject(add_part_test.key=[$0], add_part_test.value=[$1], add_part_test.ds=[CAST('2010-01-01':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
+ HiveFilter(condition=[=($2, '2010-01-01')])
HiveTableScan(table=[[default, add_part_test]], table:alias=[add_part_test])
PLAN VECTORIZATION:
@@ -289,7 +289,7 @@ EXPLAIN CBO select * from add_part_test where ds>='2010-01-01';
EXPLAIN VECTORIZED select * from add_part_test where ds>='2010-01-01';
CBO PLAN:HiveProject(add_part_test.key=[$0], add_part_test.value=[$1], add_part_test.ds=[$2])
- HiveFilter(condition=[>=($2, _UTF-16LE'2010-01-01')])
+ HiveFilter(condition=[>=($2, '2010-01-01')])
HiveTableScan(table=[[default, add_part_test]], table:alias=[add_part_test])
PLAN VECTORIZATION:
@@ -436,8 +436,8 @@ EXPLAIN CBO select * from add_part_test_db.add_part_test where ds='2010-01-01';
EXPLAIN VECTORIZED select * from add_part_test_db.add_part_test where ds='2010-01-01';
-CBO PLAN:HiveProject(add_part_test.key=[$0], add_part_test.value=[$1], add_part_test.ds=[CAST(_UTF-16LE'2010-01-01':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
- HiveFilter(condition=[=($2, _UTF-16LE'2010-01-01')])
+CBO PLAN:HiveProject(add_part_test.key=[$0], add_part_test.value=[$1], add_part_test.ds=[CAST('2010-01-01':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
+ HiveFilter(condition=[=($2, '2010-01-01')])
HiveTableScan(table=[[add_part_test_db, add_part_test]], table:alias=[add_part_test])
PLAN VECTORIZATION:
@@ -563,7 +563,7 @@ EXPLAIN CBO select * from add_part_test_db.add_part_test where ds>='2010-01-01';
EXPLAIN VECTORIZED select * from add_part_test_db.add_part_test where ds>='2010-01-01';
CBO PLAN:HiveProject(add_part_test.key=[$0], add_part_test.value=[$1], add_part_test.ds=[$2])
- HiveFilter(condition=[>=($2, _UTF-16LE'2010-01-01')])
+ HiveFilter(condition=[>=($2, '2010-01-01')])
HiveTableScan(table=[[add_part_test_db, add_part_test]], table:alias=[add_part_test])
PLAN VECTORIZATION:
diff --git a/ql/src/test/results/clientpositive/llap/partition_unix_timestamp.q.out b/ql/src/test/results/clientpositive/llap/partition_unix_timestamp.q.out
index e72d30f4d1c5..2f5aa8be6f4a 100644
--- a/ql/src/test/results/clientpositive/llap/partition_unix_timestamp.q.out
+++ b/ql/src/test/results/clientpositive/llap/partition_unix_timestamp.q.out
@@ -24,6 +24,6 @@ POSTHOOK: Input: default@t1
#### A masked pattern was here ####
CBO PLAN:
HiveProject(t1.a=[$0], t1.p_year=[$1])
- HiveFilter(condition=[=(CAST($1):DOUBLE, 2.0250E3)])
+ HiveFilter(condition=[=(CAST($1):DOUBLE, 2025.0E0)])
HiveTableScan(table=[[default, t1]], table:alias=[t1])
diff --git a/ql/src/test/results/clientpositive/llap/pcr.q.out b/ql/src/test/results/clientpositive/llap/pcr.q.out
index a1f5a0f77d09..d6af1ccad95a 100644
--- a/ql/src/test/results/clientpositive/llap/pcr.q.out
+++ b/ql/src/test/results/clientpositive/llap/pcr.q.out
@@ -4144,7 +4144,7 @@ POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=11
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT `key`, `value`
FROM `default`.`srcpart`
-WHERE `ds` = '2008-04-08' AND `hr` = 11
+WHERE `ds` = '2008-04-08' AND `hr` = 1.10E1
ORDER BY `key`
LIMIT 10
STAGE DEPENDENCIES:
@@ -4294,7 +4294,7 @@ POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=12
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT `key`, `value`, CAST('2008-04-08' AS STRING) AS `ds`, `hr`
FROM `default`.`srcpart`
-WHERE `key` = 11 AND `ds` = '2008-04-08' AND `hr` IN ('11', '12')
+WHERE `key` = 1.10E1 AND `ds` = '2008-04-08' AND `hr` IN ('11', '12')
ORDER BY `key`, `hr`
STAGE DEPENDENCIES:
Stage-1 is a root stage
@@ -4482,7 +4482,7 @@ POSTHOOK: Input: default@srcpart@ds=2008-04-09/hr=11
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT `key`, `value`, `ds`, CAST('11' AS STRING) AS `hr`
FROM `default`.`srcpart`
-WHERE `key` = 11 AND `hr` = '11'
+WHERE `key` = 1.10E1 AND `hr` = '11'
ORDER BY `key`, `ds`
STAGE DEPENDENCIES:
Stage-1 is a root stage
diff --git a/ql/src/test/results/clientpositive/llap/pcs.q.out b/ql/src/test/results/clientpositive/llap/pcs.q.out
index b0ce8b5d0cfe..14b5bc3e1f12 100644
--- a/ql/src/test/results/clientpositive/llap/pcs.q.out
+++ b/ql/src/test/results/clientpositive/llap/pcs.q.out
@@ -1302,7 +1302,7 @@ POSTHOOK: Input: default@pcs_t1@ds=2000-04-09
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT `ds`
FROM `default`.`pcs_t1`
-WHERE (`ds`, `key`, RAND(100)) IN (('2000-04-08', 1, 0.2), ('2000-04-09', 2, 0.3))
+WHERE (`ds`, `key`, RAND(100)) IN (('2000-04-08', 1, 2E-1), ('2000-04-09', 2, 3E-1))
STAGE DEPENDENCIES:
Stage-0 is a root stage
diff --git a/ql/src/test/results/clientpositive/llap/pointlookup6.q.out b/ql/src/test/results/clientpositive/llap/pointlookup6.q.out
index 10d99588a0ce..226f1827e1f3 100644
--- a/ql/src/test/results/clientpositive/llap/pointlookup6.q.out
+++ b/ql/src/test/results/clientpositive/llap/pointlookup6.q.out
@@ -58,10 +58,10 @@ CBO PLAN:
HiveProject(l_table.string_col=[$0])
HiveJoin(condition=[=($1, $0)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(string_col=[$0])
- HiveFilter(condition=[IN($0, _UTF-16LE'AAA111':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'BBB222':VARCHAR(30) CHARACTER SET "UTF-16LE")])
+ HiveFilter(condition=[IN($0, 'AAA111':VARCHAR(30) CHARACTER SET "UTF-16LE", 'BBB222':VARCHAR(30) CHARACTER SET "UTF-16LE")])
HiveTableScan(table=[[default, l_table]], table:alias=[l_table])
HiveProject(string_col=[$0])
- HiveFilter(condition=[IN($0, _UTF-16LE'AAA111':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'BBB222':VARCHAR(30) CHARACTER SET "UTF-16LE")])
+ HiveFilter(condition=[IN($0, 'AAA111':VARCHAR(30) CHARACTER SET "UTF-16LE", 'BBB222':VARCHAR(30) CHARACTER SET "UTF-16LE")])
HiveTableScan(table=[[default, r_table]], table:alias=[r_table])
PREHOOK: query: SELECT l_table.string_col from l_table, r_table
@@ -99,6 +99,6 @@ POSTHOOK: Input: default@r_table
#### A masked pattern was here ####
CBO PLAN:
HiveProject(r_table.string_col=[$0])
- HiveFilter(condition=[OR(IS NULL(CAST($0):TIMESTAMP(9)), IN(MINUTE(FLAG(MINUTE), CAST($0):TIMESTAMP(9)), 2, 10))])
+ HiveFilter(condition=[OR(IS NULL(MINUTE(FLAG(MINUTE), CAST($0):TIMESTAMP(9))), IN(MINUTE(FLAG(MINUTE), CAST($0):TIMESTAMP(9)), 2, 10))])
HiveTableScan(table=[[default, r_table]], table:alias=[r_table])
diff --git a/ql/src/test/results/clientpositive/llap/ppd_constant_expr.q.out b/ql/src/test/results/clientpositive/llap/ppd_constant_expr.q.out
index 930290ca3cca..c7cb5d826433 100644
--- a/ql/src/test/results/clientpositive/llap/ppd_constant_expr.q.out
+++ b/ql/src/test/results/clientpositive/llap/ppd_constant_expr.q.out
@@ -36,14 +36,14 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: src1
- Statistics: Num rows: 25 Data size: 191 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 25 Data size: 2150 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
- expressions: null (type: string), null (type: int), null (type: double)
+ expressions: null (type: string), UDFToInteger((UDFToDouble(key) - null)) (type: int), null (type: double)
outputColumnNames: _col0, _col1, _col2
- Statistics: Num rows: 25 Data size: 96 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 25 Data size: 192 Basic stats: COMPLETE Column stats: COMPLETE
File Output Operator
compressed: false
- Statistics: Num rows: 25 Data size: 96 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 25 Data size: 192 Basic stats: COMPLETE Column stats: COMPLETE
table:
input format: org.apache.hadoop.mapred.TextInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
@@ -52,7 +52,7 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col1 (type: int), _col2 (type: double)
outputColumnNames: c1, c2, c3
- Statistics: Num rows: 25 Data size: 96 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 25 Data size: 192 Basic stats: COMPLETE Column stats: COMPLETE
Group By Operator
aggregations: max(length(c1)), avg(COALESCE(length(c1),0)), count(1), count(c1), compute_bit_vector_hll(c1), min(c2), max(c2), count(c2), compute_bit_vector_hll(c2), min(c3), max(c3), count(c3), compute_bit_vector_hll(c3)
minReductionHashAggr: 0.96
@@ -118,7 +118,7 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: default@src1
POSTHOOK: Output: default@ppd_constant_expr
POSTHOOK: Lineage: ppd_constant_expr.c1 EXPRESSION []
-POSTHOOK: Lineage: ppd_constant_expr.c2 EXPRESSION []
+POSTHOOK: Lineage: ppd_constant_expr.c2 EXPRESSION [(src1)src1.FieldSchema(name:key, type:string, comment:default), ]
POSTHOOK: Lineage: ppd_constant_expr.c3 EXPRESSION []
PREHOOK: query: SELECT ppd_constant_expr.* FROM ppd_constant_expr
PREHOOK: type: QUERY
@@ -183,14 +183,14 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: src1
- Statistics: Num rows: 25 Data size: 191 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 25 Data size: 2150 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
- expressions: null (type: string), null (type: int), null (type: double)
+ expressions: null (type: string), UDFToInteger((UDFToDouble(key) - null)) (type: int), null (type: double)
outputColumnNames: _col0, _col1, _col2
- Statistics: Num rows: 25 Data size: 96 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 25 Data size: 192 Basic stats: COMPLETE Column stats: COMPLETE
File Output Operator
compressed: false
- Statistics: Num rows: 25 Data size: 96 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 25 Data size: 192 Basic stats: COMPLETE Column stats: COMPLETE
table:
input format: org.apache.hadoop.mapred.TextInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
@@ -199,7 +199,7 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col1 (type: int), _col2 (type: double)
outputColumnNames: c1, c2, c3
- Statistics: Num rows: 25 Data size: 96 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 25 Data size: 192 Basic stats: COMPLETE Column stats: COMPLETE
Group By Operator
aggregations: max(length(c1)), avg(COALESCE(length(c1),0)), count(1), count(c1), compute_bit_vector_hll(c1), min(c2), max(c2), count(c2), compute_bit_vector_hll(c2), min(c3), max(c3), count(c3), compute_bit_vector_hll(c3)
minReductionHashAggr: 0.96
@@ -265,7 +265,7 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: default@src1
POSTHOOK: Output: default@ppd_constant_expr
POSTHOOK: Lineage: ppd_constant_expr.c1 EXPRESSION []
-POSTHOOK: Lineage: ppd_constant_expr.c2 EXPRESSION []
+POSTHOOK: Lineage: ppd_constant_expr.c2 EXPRESSION [(src1)src1.FieldSchema(name:key, type:string, comment:default), ]
POSTHOOK: Lineage: ppd_constant_expr.c3 EXPRESSION []
PREHOOK: query: SELECT ppd_constant_expr.* FROM ppd_constant_expr
PREHOOK: type: QUERY
diff --git a/ql/src/test/results/clientpositive/llap/ppd_join_filter.q.out b/ql/src/test/results/clientpositive/llap/ppd_join_filter.q.out
index a6a70108877e..df7b74627e36 100644
--- a/ql/src/test/results/clientpositive/llap/ppd_join_filter.q.out
+++ b/ql/src/test/results/clientpositive/llap/ppd_join_filter.q.out
@@ -32,11 +32,11 @@ OPTIMIZED SQL: SELECT `t0`.`key` AS `a.key`, `t4`.`k2` AS `b.k2`, `t4`.`k3` AS `
FROM (SELECT `key`
FROM `default`.`src`
WHERE `key` IS NOT NULL) AS `t0`
-INNER JOIN (SELECT `key`, CAST(MIN(`key`) AS DOUBLE) + 2 AS `k2`, CAST(MIN(`key`) AS DOUBLE) + 3 AS `k3`
+INNER JOIN (SELECT `key`, CAST(MIN(`key`) AS DOUBLE) + 2.0E0 AS `k2`, CAST(MIN(`key`) AS DOUBLE) + 3.0E0 AS `k3`
FROM `default`.`src`
WHERE `key` IS NOT NULL
GROUP BY `key`
-HAVING CAST(MIN(`key`) AS DOUBLE) + 1 < 5) AS `t4` ON `t0`.`key` = `t4`.`key`
+HAVING CAST(MIN(`key`) AS DOUBLE) + 1.0E0 < 5.0E0) AS `t4` ON `t0`.`key` = `t4`.`key`
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -277,11 +277,11 @@ OPTIMIZED SQL: SELECT `t0`.`key` AS `a.key`, `t4`.`k2` AS `b.k2`, `t4`.`k3` AS `
FROM (SELECT `key`
FROM `default`.`src`
WHERE `key` IS NOT NULL) AS `t0`
-INNER JOIN (SELECT `key`, CAST(MIN(`key`) AS DOUBLE) + 2 AS `k2`, CAST(MIN(`key`) AS DOUBLE) + 3 AS `k3`
+INNER JOIN (SELECT `key`, CAST(MIN(`key`) AS DOUBLE) + 2.0E0 AS `k2`, CAST(MIN(`key`) AS DOUBLE) + 3.0E0 AS `k3`
FROM `default`.`src`
WHERE `key` IS NOT NULL
GROUP BY `key`
-HAVING CAST(MIN(`key`) AS DOUBLE) + 1 < 5) AS `t4` ON `t0`.`key` = `t4`.`key`
+HAVING CAST(MIN(`key`) AS DOUBLE) + 1.0E0 < 5.0E0) AS `t4` ON `t0`.`key` = `t4`.`key`
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -522,11 +522,11 @@ OPTIMIZED SQL: SELECT `t0`.`key` AS `a.key`, `t4`.`k2` AS `b.k2`, `t4`.`k3` AS `
FROM (SELECT `key`
FROM `default`.`src`
WHERE `key` IS NOT NULL) AS `t0`
-INNER JOIN (SELECT `key`, CAST(MIN(`key`) AS DOUBLE) + 2 AS `k2`, CAST(MIN(`key`) AS DOUBLE) + 3 AS `k3`
+INNER JOIN (SELECT `key`, CAST(MIN(`key`) AS DOUBLE) + 2.0E0 AS `k2`, CAST(MIN(`key`) AS DOUBLE) + 3.0E0 AS `k3`
FROM `default`.`src`
WHERE `key` IS NOT NULL
GROUP BY `key`
-HAVING CAST(MIN(`key`) AS DOUBLE) + 1 < 5) AS `t4` ON `t0`.`key` = `t4`.`key`
+HAVING CAST(MIN(`key`) AS DOUBLE) + 1.0E0 < 5.0E0) AS `t4` ON `t0`.`key` = `t4`.`key`
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -766,11 +766,11 @@ OPTIMIZED SQL: SELECT `t0`.`key` AS `a.key`, `t4`.`k2` AS `b.k2`, `t4`.`k3` AS `
FROM (SELECT `key`
FROM `default`.`src`
WHERE `key` IS NOT NULL) AS `t0`
-INNER JOIN (SELECT `key`, CAST(MIN(`key`) AS DOUBLE) + 2 AS `k2`, CAST(MIN(`key`) AS DOUBLE) + 3 AS `k3`
+INNER JOIN (SELECT `key`, CAST(MIN(`key`) AS DOUBLE) + 2.0E0 AS `k2`, CAST(MIN(`key`) AS DOUBLE) + 3.0E0 AS `k3`
FROM `default`.`src`
WHERE `key` IS NOT NULL
GROUP BY `key`
-HAVING CAST(MIN(`key`) AS DOUBLE) + 1 < 5) AS `t4` ON `t0`.`key` = `t4`.`key`
+HAVING CAST(MIN(`key`) AS DOUBLE) + 1.0E0 < 5.0E0) AS `t4` ON `t0`.`key` = `t4`.`key`
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
diff --git a/ql/src/test/results/clientpositive/llap/rand_partitionpruner1.q.out b/ql/src/test/results/clientpositive/llap/rand_partitionpruner1.q.out
index 5729e51ac8c3..c94bfa58fdb0 100644
--- a/ql/src/test/results/clientpositive/llap/rand_partitionpruner1.q.out
+++ b/ql/src/test/results/clientpositive/llap/rand_partitionpruner1.q.out
@@ -8,7 +8,7 @@ POSTHOOK: Input: default@src
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT `key` AS `src.key`, `value` AS `src.value`
FROM `default`.`src`
-WHERE RAND(1) < 0.1
+WHERE RAND(1) < 1E-1
STAGE DEPENDENCIES:
Stage-0 is a root stage
diff --git a/ql/src/test/results/clientpositive/llap/rand_partitionpruner2.q.out b/ql/src/test/results/clientpositive/llap/rand_partitionpruner2.q.out
index 05ba8e818654..2b5d833357cf 100644
--- a/ql/src/test/results/clientpositive/llap/rand_partitionpruner2.q.out
+++ b/ql/src/test/results/clientpositive/llap/rand_partitionpruner2.q.out
@@ -24,7 +24,7 @@ POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=12
POSTHOOK: Output: default@tmptable_n1
OPTIMIZED SQL: SELECT `key` AS `a.key`, `value` AS `a.value`, CAST('2008-04-08' AS STRING) AS `a.ds`, `hr` AS `a.hr`
FROM `default`.`srcpart`
-WHERE RAND(1) < 0.1 AND `ds` = '2008-04-08'
+WHERE RAND(1) < 1E-1 AND `ds` = '2008-04-08'
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-2 depends on stages: Stage-1
diff --git a/ql/src/test/results/clientpositive/llap/rand_partitionpruner3.q.out b/ql/src/test/results/clientpositive/llap/rand_partitionpruner3.q.out
index c541873417e9..809b965ef107 100644
--- a/ql/src/test/results/clientpositive/llap/rand_partitionpruner3.q.out
+++ b/ql/src/test/results/clientpositive/llap/rand_partitionpruner3.q.out
@@ -10,7 +10,7 @@ POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=12
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT `key` AS `a.key`, `value` AS `a.value`, CAST('2008-04-08' AS STRING) AS `a.ds`, `hr` AS `a.hr`
FROM `default`.`srcpart`
-WHERE CAST(`key` AS DOUBLE) BETWEEN 10 AND 50 AND RAND(1) < 0.1 AND `ds` = '2008-04-08' AND `hr` LIKE '%2'
+WHERE CAST(`key` AS DOUBLE) BETWEEN 1.00E1 AND 5.00E1 AND RAND(1) < 1E-1 AND `ds` = '2008-04-08' AND `hr` LIKE '%2'
STAGE DEPENDENCIES:
Stage-0 is a root stage
@@ -90,7 +90,7 @@ POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=12
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT `key` AS `a.key`, `value` AS `a.value`, CAST('2008-04-08' AS STRING) AS `a.ds`, `hr` AS `a.hr`
FROM `default`.`srcpart`
-WHERE CAST(`key` AS DOUBLE) BETWEEN 10 AND 50 AND `ds` = '2008-04-08' AND `hr` LIKE '%2'
+WHERE CAST(`key` AS DOUBLE) BETWEEN 1.00E1 AND 5.00E1 AND `ds` = '2008-04-08' AND `hr` LIKE '%2'
STAGE DEPENDENCIES:
Stage-0 is a root stage
diff --git a/ql/src/test/results/clientpositive/llap/router_join_ppr.q.out b/ql/src/test/results/clientpositive/llap/router_join_ppr.q.out
index d1008168c788..d84754e08a56 100644
--- a/ql/src/test/results/clientpositive/llap/router_join_ppr.q.out
+++ b/ql/src/test/results/clientpositive/llap/router_join_ppr.q.out
@@ -29,10 +29,10 @@ POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=12
OPTIMIZED SQL: SELECT `t0`.`key` AS `a.key`, `t0`.`value` AS `a.value`, `t2`.`key` AS `b.key`, `t2`.`value` AS `b.value`
FROM (SELECT `key`, `value`
FROM `default`.`src`
-WHERE `key` > 15 AND `key` < 20 AND `key` IS NOT NULL) AS `t0`
+WHERE `key` > 1.50E1 AND `key` < 2.00E1) AS `t0`
INNER JOIN (SELECT `key`, `value`
FROM `default`.`srcpart`
-WHERE `key` > 15 AND `key` < 20 AND `ds` = '2008-04-08' AND `key` IS NOT NULL) AS `t2` ON `t0`.`key` = `t2`.`key`
+WHERE `key` > 1.50E1 AND `key` < 2.00E1 AND `ds` = '2008-04-08') AS `t2` ON `t0`.`key` = `t2`.`key`
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -331,10 +331,10 @@ POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=12
OPTIMIZED SQL: SELECT `t0`.`key` AS `a.key`, `t0`.`value` AS `a.value`, `t2`.`key` AS `b.key`, `t2`.`value` AS `b.value`
FROM (SELECT `key`, `value`
FROM `default`.`srcpart`
-WHERE `key` > 15 AND `key` < 20 AND `ds` = '2008-04-08' AND `key` IS NOT NULL) AS `t0`
+WHERE `key` > 1.50E1 AND `key` < 2.00E1 AND `ds` = '2008-04-08') AS `t0`
INNER JOIN (SELECT `key`, `value`
FROM `default`.`src`
-WHERE `key` > 15 AND `key` < 20 AND `key` IS NOT NULL) AS `t2` ON `t0`.`key` = `t2`.`key`
+WHERE `key` > 1.50E1 AND `key` < 2.00E1) AS `t2` ON `t0`.`key` = `t2`.`key`
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -633,10 +633,10 @@ POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=12
OPTIMIZED SQL: SELECT `t0`.`key` AS `a.key`, `t0`.`value` AS `a.value`, `t2`.`key` AS `b.key`, `t2`.`value` AS `b.value`
FROM (SELECT `key`, `value`
FROM `default`.`src`
-WHERE `key` > 15 AND `key` < 20 AND `key` IS NOT NULL) AS `t0`
+WHERE `key` > 1.50E1 AND `key` < 2.00E1) AS `t0`
INNER JOIN (SELECT `key`, `value`
FROM `default`.`srcpart`
-WHERE `key` > 15 AND `key` < 20 AND `ds` = '2008-04-08' AND `key` IS NOT NULL) AS `t2` ON `t0`.`key` = `t2`.`key`
+WHERE `key` > 1.50E1 AND `key` < 2.00E1 AND `ds` = '2008-04-08') AS `t2` ON `t0`.`key` = `t2`.`key`
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -935,10 +935,10 @@ POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=12
OPTIMIZED SQL: SELECT `t0`.`key` AS `a.key`, `t0`.`value` AS `a.value`, `t2`.`key` AS `b.key`, `t2`.`value` AS `b.value`
FROM (SELECT `key`, `value`
FROM `default`.`srcpart`
-WHERE `key` > 15 AND `key` < 20 AND `ds` = '2008-04-08' AND `key` IS NOT NULL) AS `t0`
+WHERE `key` > 1.50E1 AND `key` < 2.00E1 AND `ds` = '2008-04-08') AS `t0`
INNER JOIN (SELECT `key`, `value`
FROM `default`.`src`
-WHERE `key` > 15 AND `key` < 20 AND `key` IS NOT NULL) AS `t2` ON `t0`.`key` = `t2`.`key`
+WHERE `key` > 1.50E1 AND `key` < 2.00E1) AS `t2` ON `t0`.`key` = `t2`.`key`
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
diff --git a/ql/src/test/results/clientpositive/llap/rule_exclusion_config.q.out b/ql/src/test/results/clientpositive/llap/rule_exclusion_config.q.out
index 76c1cef46821..e7c0d392ca53 100644
--- a/ql/src/test/results/clientpositive/llap/rule_exclusion_config.q.out
+++ b/ql/src/test/results/clientpositive/llap/rule_exclusion_config.q.out
@@ -21,13 +21,13 @@ HiveProject(src1.key=[$0], src1.value=[$1], src2.key=[$2], src2.value=[$3], src3
HiveJoin(condition=[=($0, $4)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($0, $2)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(key=[$0], value=[$1])
- HiveFilter(condition=[AND(>(CAST($0):DOUBLE, 1E1), <(CAST($0):DOUBLE, 2E1), IS NOT NULL($0))])
+ HiveFilter(condition=[AND(>(CAST($0):DOUBLE, 10.0E0), <(CAST($0):DOUBLE, 20.0E0))])
HiveTableScan(table=[[default, src]], table:alias=[src1])
HiveProject(key=[$0], value=[$1])
- HiveFilter(condition=[AND(>(CAST($0):DOUBLE, 1E1), <(CAST($0):DOUBLE, 2E1), IS NOT NULL($0))])
+ HiveFilter(condition=[AND(>(CAST($0):DOUBLE, 10.0E0), <(CAST($0):DOUBLE, 20.0E0))])
HiveTableScan(table=[[default, src]], table:alias=[src2])
HiveProject(key=[$0], value=[$1])
- HiveFilter(condition=[AND(>(CAST($0):DOUBLE, 1E1), <(CAST($0):DOUBLE, 2E1), IS NOT NULL($0))])
+ HiveFilter(condition=[AND(>(CAST($0):DOUBLE, 10.0E0), <(CAST($0):DOUBLE, 20.0E0))])
HiveTableScan(table=[[default, src]], table:alias=[src3])
PREHOOK: query: EXPLAIN CBO
@@ -61,7 +61,7 @@ HiveProject(src1.key=[$4], src1.value=[$5], src2.key=[$2], src2.value=[$3], src3
HiveFilter(condition=[IS NOT NULL($0)])
HiveTableScan(table=[[default, src]], table:alias=[src2])
HiveProject(key=[$0], value=[$1])
- HiveFilter(condition=[AND(>(CAST($0):DOUBLE, 1E1), <(CAST($0):DOUBLE, 2E1), IS NOT NULL($0))])
+ HiveFilter(condition=[AND(>(CAST($0):DOUBLE, 10.0E0), <(CAST($0):DOUBLE, 20.0E0))])
HiveTableScan(table=[[default, src]], table:alias=[src1])
PREHOOK: query: EXPLAIN CBO
@@ -93,7 +93,7 @@ HiveProject(src1.key=[$4], src1.value=[$5], src2.key=[$2], src2.value=[$3], src3
HiveProject(key=[$0], value=[$1])
HiveTableScan(table=[[default, src]], table:alias=[src2])
HiveProject(key=[$0], value=[$1])
- HiveFilter(condition=[AND(>(CAST($0):DOUBLE, 1E1), <(CAST($0):DOUBLE, 2E1))])
+ HiveFilter(condition=[AND(>(CAST($0):DOUBLE, 10.0E0), <(CAST($0):DOUBLE, 20.0E0))])
HiveTableScan(table=[[default, src]], table:alias=[src1])
PREHOOK: query: EXPLAIN CBO
@@ -125,7 +125,7 @@ HiveProject(src1.key=[$4], src1.value=[$5], src2.key=[$2], src2.value=[$3], src3
HiveProject(key=[$0], value=[$1])
HiveTableScan(table=[[default, src]], table:alias=[src2])
HiveProject(key=[$0], value=[$1])
- HiveFilter(condition=[AND(>(CAST($0):DOUBLE, 1E1), <(CAST($0):DOUBLE, 2E1))])
+ HiveFilter(condition=[AND(>(CAST($0):DOUBLE, 10.0E0), <(CAST($0):DOUBLE, 20.0E0))])
HiveTableScan(table=[[default, src]], table:alias=[src1])
PREHOOK: query: EXPLAIN CBO
diff --git a/ql/src/test/results/clientpositive/llap/semijoin4.q.out b/ql/src/test/results/clientpositive/llap/semijoin4.q.out
index f98a0a210f50..bad675701b80 100644
--- a/ql/src/test/results/clientpositive/llap/semijoin4.q.out
+++ b/ql/src/test/results/clientpositive/llap/semijoin4.q.out
@@ -114,7 +114,7 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: tt2
- filterExpr: ((decimal1911_col_16 is not null and timestamp_col_19 is not null) or ((tinyint_col_21 = -92Y) and UDFToLong(tinyint_col_18) is not null and decimal2709_col_9 is not null)) (type: boolean)
+ filterExpr: ((decimal1911_col_16 is not null and timestamp_col_19 is not null) or ((tinyint_col_21 = -92Y) and tinyint_col_18 is not null and decimal2709_col_9 is not null)) (type: boolean)
Statistics: Num rows: 1 Data size: 152 Basic stats: COMPLETE Column stats: NONE
Filter Operator
predicate: (decimal1911_col_16 is not null and timestamp_col_19 is not null) (type: boolean)
@@ -130,7 +130,7 @@ STAGE PLANS:
Map-reduce partition columns: _col0 (type: decimal(19,11)), _col1 (type: timestamp)
Statistics: Num rows: 1 Data size: 152 Basic stats: COMPLETE Column stats: NONE
Filter Operator
- predicate: ((tinyint_col_21 = -92Y) and UDFToLong(tinyint_col_18) is not null and decimal2709_col_9 is not null) (type: boolean)
+ predicate: ((tinyint_col_21 = -92Y) and tinyint_col_18 is not null and decimal2709_col_9 is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 120 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: decimal2709_col_9 (type: decimal(27,9)), tinyint_col_18 (type: tinyint)
diff --git a/ql/src/test/results/clientpositive/llap/semijoin5.q.out b/ql/src/test/results/clientpositive/llap/semijoin5.q.out
index f3d0036d99da..a63f6750254f 100644
--- a/ql/src/test/results/clientpositive/llap/semijoin5.q.out
+++ b/ql/src/test/results/clientpositive/llap/semijoin5.q.out
@@ -106,10 +106,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: t2
- filterExpr: (((smallint_col_19 = -92S) and UDFToLong(tinyint_col_15) is not null and decimal2709_col_9 is not null and tinyint_col_20 is not null) or (timestamp_col_18 is not null and decimal1911_col_16 is not null)) (type: boolean)
+ filterExpr: (((smallint_col_19 = -92S) and tinyint_col_15 is not null and decimal2709_col_9 is not null and tinyint_col_20 is not null) or (timestamp_col_18 is not null and decimal1911_col_16 is not null)) (type: boolean)
Statistics: Num rows: 1 Data size: 128 Basic stats: COMPLETE Column stats: NONE
Filter Operator
- predicate: ((smallint_col_19 = -92S) and UDFToLong(tinyint_col_15) is not null and decimal2709_col_9 is not null and tinyint_col_20 is not null) (type: boolean)
+ predicate: ((smallint_col_19 = -92S) and tinyint_col_15 is not null and decimal2709_col_9 is not null and tinyint_col_20 is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 128 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: decimal2709_col_9 (type: decimal(27,9)), int_col_10 (type: int), tinyint_col_15 (type: tinyint), tinyint_col_20 (type: tinyint)
diff --git a/ql/src/test/results/clientpositive/llap/sharedwork.q.out b/ql/src/test/results/clientpositive/llap/sharedwork.q.out
index e94f9826ed78..c8273fac8df5 100644
--- a/ql/src/test/results/clientpositive/llap/sharedwork.q.out
+++ b/ql/src/test/results/clientpositive/llap/sharedwork.q.out
@@ -115,7 +115,7 @@ FROM `default`.`my_table_0003`
WHERE `col_24` IS NOT NULL) AS `t6` ON `t4`.`col_22` = `t6`.`col_24`
LEFT JOIN (SELECT `col_1`
FROM `default`.`my_table_0001_01`
-WHERE `col_100` = 210 AND `col_1` IS NOT NULL) AS `t8` ON `t0`.`col_1` = `t8`.`col_1`
+WHERE `col_100` = 2.100E2 AND `col_1` IS NOT NULL) AS `t8` ON `t0`.`col_1` = `t8`.`col_1`
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -607,7 +607,7 @@ INNER JOIN (SELECT `p_size` + 1 AS `$f0`
FROM `default`.`part`
WHERE `p_size` IS NOT NULL
GROUP BY `p_size` + 1) AS `t15` ON `t11`.`$f1` = `t15`.`$f0`) AS `t16` ON `t`.`p_type` = `t16`.`p_type` AND `t`.`size` = `t16`.`size`) AS `t17`
-WHERE (`t17`.`$f2` IS NULL OR `t17`.`c` IS NULL OR `t17`.`c` = 0) AND (`t17`.`p_type` IS NULL OR `t17`.`c` IS NULL OR `t17`.`c` = 0 OR `t17`.`ck` < `t17`.`c` IS NOT TRUE OR `t17`.`$f2` IS NOT NULL) AND (`t17`.`c` IS NULL OR `t17`.`c` = 0 OR `t17`.`p_type` IS NOT NULL OR `t17`.`$f2` IS NOT NULL)
+WHERE (`t17`.`$f2` IS NULL OR `t17`.`c` IS NULL OR `t17`.`c` = 0) AND (`t17`.`p_type` IS NULL OR `t17`.`c` IS NULL OR `t17`.`c` = 0 OR (`t17`.`ck` < `t17`.`c` IS NULL OR NOT `t17`.`ck` < `t17`.`c`) OR `t17`.`$f2` IS NOT NULL) AND (`t17`.`c` IS NULL OR `t17`.`c` = 0 OR `t17`.`p_type` IS NOT NULL OR `t17`.`$f2` IS NOT NULL)
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
diff --git a/ql/src/test/results/clientpositive/llap/sharedwork_map_side_aggregations.q.out b/ql/src/test/results/clientpositive/llap/sharedwork_map_side_aggregations.q.out
index bbe864529e20..afa4632b1f1e 100644
--- a/ql/src/test/results/clientpositive/llap/sharedwork_map_side_aggregations.q.out
+++ b/ql/src/test/results/clientpositive/llap/sharedwork_map_side_aggregations.q.out
@@ -53,7 +53,7 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: src
- filterExpr: ((key like '%0%') or ((key like '%3%') and (key like '%0%') and key is not null) or ((key like '%2%') and (key like '%0%') and key is not null)) (type: boolean)
+ filterExpr: ((key like '%0%') or ((key like '%3%') and (key like '%0%')) or ((key like '%2%') and (key like '%0%'))) (type: boolean)
Statistics: Num rows: 500 Data size: 43500 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: (key like '%0%') (type: boolean)
@@ -71,7 +71,7 @@ STAGE PLANS:
Map-reduce partition columns: _col0 (type: string)
Statistics: Num rows: 250 Data size: 21750 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((key like '%3%') and (key like '%0%') and key is not null) (type: boolean)
+ predicate: ((key like '%3%') and (key like '%0%')) (type: boolean)
Statistics: Num rows: 125 Data size: 10875 Basic stats: COMPLETE Column stats: COMPLETE
Group By Operator
aggregations: count()
@@ -88,7 +88,7 @@ STAGE PLANS:
Statistics: Num rows: 125 Data size: 11875 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col1 (type: bigint)
Filter Operator
- predicate: ((key like '%2%') and (key like '%0%') and key is not null) (type: boolean)
+ predicate: ((key like '%2%') and (key like '%0%')) (type: boolean)
Statistics: Num rows: 125 Data size: 10875 Basic stats: COMPLETE Column stats: COMPLETE
Group By Operator
aggregations: count()
@@ -110,10 +110,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: src
- filterExpr: (((key like '%6%') and (key like '%0%') and key is not null) or ((key like '%1%') and (key like '%0%') and key is not null)) (type: boolean)
+ filterExpr: (((key like '%6%') and (key like '%0%')) or ((key like '%1%') and (key like '%0%'))) (type: boolean)
Statistics: Num rows: 500 Data size: 43500 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((key like '%6%') and (key like '%0%') and key is not null) (type: boolean)
+ predicate: ((key like '%6%') and (key like '%0%')) (type: boolean)
Statistics: Num rows: 125 Data size: 10875 Basic stats: COMPLETE Column stats: COMPLETE
Group By Operator
aggregations: count()
@@ -130,7 +130,7 @@ STAGE PLANS:
Statistics: Num rows: 125 Data size: 11875 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col1 (type: bigint)
Filter Operator
- predicate: ((key like '%1%') and (key like '%0%') and key is not null) (type: boolean)
+ predicate: ((key like '%1%') and (key like '%0%')) (type: boolean)
Statistics: Num rows: 125 Data size: 10875 Basic stats: COMPLETE Column stats: COMPLETE
Group By Operator
aggregations: count()
@@ -152,10 +152,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: src
- filterExpr: (((key like '%7%') and (key like '%0%') and key is not null) or ((key like '%4%') and (key like '%0%') and key is not null) or ((key like '%5%') and (key like '%0%') and key is not null)) (type: boolean)
+ filterExpr: (((key like '%7%') and (key like '%0%')) or ((key like '%4%') and (key like '%0%')) or ((key like '%5%') and (key like '%0%'))) (type: boolean)
Statistics: Num rows: 500 Data size: 43500 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((key like '%7%') and (key like '%0%') and key is not null) (type: boolean)
+ predicate: ((key like '%7%') and (key like '%0%')) (type: boolean)
Statistics: Num rows: 125 Data size: 10875 Basic stats: COMPLETE Column stats: COMPLETE
Group By Operator
aggregations: count()
@@ -172,7 +172,7 @@ STAGE PLANS:
Statistics: Num rows: 125 Data size: 11875 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col1 (type: bigint)
Filter Operator
- predicate: ((key like '%4%') and (key like '%0%') and key is not null) (type: boolean)
+ predicate: ((key like '%4%') and (key like '%0%')) (type: boolean)
Statistics: Num rows: 125 Data size: 10875 Basic stats: COMPLETE Column stats: COMPLETE
Group By Operator
aggregations: count()
@@ -189,7 +189,7 @@ STAGE PLANS:
Statistics: Num rows: 125 Data size: 11875 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col1 (type: bigint)
Filter Operator
- predicate: ((key like '%5%') and (key like '%0%') and key is not null) (type: boolean)
+ predicate: ((key like '%5%') and (key like '%0%')) (type: boolean)
Statistics: Num rows: 125 Data size: 10875 Basic stats: COMPLETE Column stats: COMPLETE
Group By Operator
aggregations: count()
diff --git a/ql/src/test/results/clientpositive/llap/sharedwork_mapjoin_datasize_check.q.out b/ql/src/test/results/clientpositive/llap/sharedwork_mapjoin_datasize_check.q.out
index 907d8c276082..534ac5fd5235 100644
--- a/ql/src/test/results/clientpositive/llap/sharedwork_mapjoin_datasize_check.q.out
+++ b/ql/src/test/results/clientpositive/llap/sharedwork_mapjoin_datasize_check.q.out
@@ -48,18 +48,18 @@ OPTIMIZED SQL: SELECT `t5`.`$f0` AS `aa.a`, `t12`.`$f1` AS `aa.b`, `t12`.`$f2` A
FROM (SELECT `t0`.`key` AS `$f0`, SUM(CAST(`t0`.`value` AS DOUBLE)) / COUNT(CAST(`t0`.`value` AS DOUBLE)) AS `$f1`, SUM(`t2`.`value`) AS `$f2`
FROM (SELECT `key`, `value`
FROM `default`.`src`
-WHERE `value` > 1000001 AND `key` IS NOT NULL) AS `t0`
+WHERE `value` > 1.0000010E6 AND `key` IS NOT NULL) AS `t0`
INNER JOIN (SELECT `key`, `value`
FROM `default`.`src1`
-WHERE `value` > 1000001 AND `key` IS NOT NULL) AS `t2` ON `t0`.`key` = `t2`.`key`
+WHERE `value` > 1.0000010E6 AND `key` IS NOT NULL) AS `t2` ON `t0`.`key` = `t2`.`key`
GROUP BY `t0`.`key`) AS `t5`
INNER JOIN (SELECT `t7`.`key` AS `$f0`, SUM(CAST(`t7`.`value` AS DOUBLE)) / COUNT(CAST(`t7`.`value` AS DOUBLE)) AS `$f1`, SUM(`t9`.`value`) AS `$f2`
FROM (SELECT `key`, `value`
FROM `default`.`src`
-WHERE `value` > 1000000 AND `key` IS NOT NULL) AS `t7`
+WHERE `value` > 1.0000000E6 AND `key` IS NOT NULL) AS `t7`
INNER JOIN (SELECT `key`, `value`
FROM `default`.`src1`
-WHERE `value` > 1000000 AND `key` IS NOT NULL) AS `t9` ON `t7`.`key` = `t9`.`key`
+WHERE `value` > 1.0000000E6 AND `key` IS NOT NULL) AS `t9` ON `t7`.`key` = `t9`.`key`
GROUP BY `t7`.`key`) AS `t12` ON `t5`.`$f0` = `t12`.`$f0`
STAGE DEPENDENCIES:
Stage-1 is a root stage
@@ -503,36 +503,36 @@ POSTHOOK: Input: default@src1
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT `t4`.`$f0` AS `aa.a`, `t11`.`$f1` AS `aa.b`, `t11`.`$f2` AS `aa.c`, `t4`.`$f0` AS `bb.a`, `t4`.`$f1` AS `bb.b`, `t4`.`$f2` AS `bb.c`, `t17`.`$f0` AS `cc.a`, `t17`.`$f1` AS `cc.b`, `t17`.`$f2` AS `cc.c`, `t23`.`$f0` AS `dd.a`, `t23`.`$f1` AS `dd.b`, `t23`.`$f2` AS `dd.c`
FROM (SELECT `t0`.`key` AS `$f0`, SUM(`t0`.`b`) / COUNT(`t0`.`b`) AS `$f1`, SUM(`t2`.`value`) AS `$f2`
-FROM (SELECT `key`, 2 * CAST(`value` AS DOUBLE) AS `b`
+FROM (SELECT `key`, 2.0E0 * CAST(`value` AS DOUBLE) AS `b`
FROM `default`.`src`
-WHERE `value` > 1000001 AND `key` IS NOT NULL) AS `t0`
+WHERE `value` > 1.0000010E6 AND `key` IS NOT NULL) AS `t0`
INNER JOIN (SELECT `key`, `value`
FROM `default`.`src1`
-WHERE `value` > 1000001 AND `key` IS NOT NULL) AS `t2` ON `t0`.`key` = `t2`.`key`
+WHERE `value` > 1.0000010E6 AND `key` IS NOT NULL) AS `t2` ON `t0`.`key` = `t2`.`key`
GROUP BY `t0`.`key`) AS `t4`
INNER JOIN (SELECT `t6`.`key` AS `$f0`, SUM(CAST(`t6`.`value` AS DOUBLE)) / COUNT(CAST(`t6`.`value` AS DOUBLE)) AS `$f1`, SUM(`t8`.`value`) AS `$f2`
FROM (SELECT `key`, `value`
FROM `default`.`src`
-WHERE `value` > 1000000 AND `key` IS NOT NULL) AS `t6`
+WHERE `value` > 1.0000000E6 AND `key` IS NOT NULL) AS `t6`
INNER JOIN (SELECT `key`, `value`
FROM `default`.`src1`
-WHERE `value` > 1000000 AND `key` IS NOT NULL) AS `t8` ON `t6`.`key` = `t8`.`key`
+WHERE `value` > 1.0000000E6 AND `key` IS NOT NULL) AS `t8` ON `t6`.`key` = `t8`.`key`
GROUP BY `t6`.`key`) AS `t11` ON `t4`.`$f0` = `t11`.`$f0`
INNER JOIN (SELECT `t13`.`key` AS `$f0`, SUM(`t13`.`b`) / COUNT(`t13`.`b`) AS `$f1`, SUM(`t15`.`value`) AS `$f2`
-FROM (SELECT `key`, 3 * CAST(`value` AS DOUBLE) AS `b`
+FROM (SELECT `key`, 3.0E0 * CAST(`value` AS DOUBLE) AS `b`
FROM `default`.`src`
-WHERE `value` > 1000002 AND `key` IS NOT NULL) AS `t13`
+WHERE `value` > 1.0000020E6 AND `key` IS NOT NULL) AS `t13`
INNER JOIN (SELECT `key`, `value`
FROM `default`.`src1`
-WHERE `value` > 1000002 AND `key` IS NOT NULL) AS `t15` ON `t13`.`key` = `t15`.`key`
+WHERE `value` > 1.0000020E6 AND `key` IS NOT NULL) AS `t15` ON `t13`.`key` = `t15`.`key`
GROUP BY `t13`.`key`) AS `t17` ON `t4`.`$f0` = `t17`.`$f0`
INNER JOIN (SELECT `t19`.`key` AS `$f0`, SUM(`t19`.`b`) / COUNT(`t19`.`b`) AS `$f1`, SUM(`t21`.`value`) AS `$f2`
-FROM (SELECT `key`, 4 * CAST(`value` AS DOUBLE) AS `b`
+FROM (SELECT `key`, 4.0E0 * CAST(`value` AS DOUBLE) AS `b`
FROM `default`.`src`
-WHERE `value` > 1000003 AND `key` IS NOT NULL) AS `t19`
+WHERE `value` > 1.0000030E6 AND `key` IS NOT NULL) AS `t19`
INNER JOIN (SELECT `key`, `value`
FROM `default`.`src1`
-WHERE `value` > 1000003 AND `key` IS NOT NULL) AS `t21` ON `t19`.`key` = `t21`.`key`
+WHERE `value` > 1.0000030E6 AND `key` IS NOT NULL) AS `t21` ON `t19`.`key` = `t21`.`key`
GROUP BY `t19`.`key`) AS `t23` ON `t4`.`$f0` = `t23`.`$f0`
STAGE DEPENDENCIES:
Stage-1 is a root stage
@@ -1199,36 +1199,36 @@ POSTHOOK: Input: default@src1
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT `t4`.`$f0` AS `aa.a`, `t11`.`$f1` AS `aa.b`, `t11`.`$f2` AS `aa.c`, `t4`.`$f0` AS `bb.a`, `t4`.`$f1` AS `bb.b`, `t4`.`$f2` AS `bb.c`, `t17`.`$f0` AS `cc.a`, `t17`.`$f1` AS `cc.b`, `t17`.`$f2` AS `cc.c`, `t23`.`$f0` AS `dd.a`, `t23`.`$f1` AS `dd.b`, `t23`.`$f2` AS `dd.c`
FROM (SELECT `t0`.`key` AS `$f0`, SUM(`t0`.`b`) / COUNT(`t0`.`b`) AS `$f1`, SUM(`t2`.`value`) AS `$f2`
-FROM (SELECT `key`, 2 * CAST(`value` AS DOUBLE) AS `b`
+FROM (SELECT `key`, 2.0E0 * CAST(`value` AS DOUBLE) AS `b`
FROM `default`.`src`
-WHERE `value` > 1000000 AND `key` IS NOT NULL) AS `t0`
+WHERE `value` > 1.0000000E6 AND `key` IS NOT NULL) AS `t0`
INNER JOIN (SELECT `key`, `value`
FROM `default`.`src1`
-WHERE `value` > 1000001 AND `key` IS NOT NULL) AS `t2` ON `t0`.`key` = `t2`.`key`
+WHERE `value` > 1.0000010E6 AND `key` IS NOT NULL) AS `t2` ON `t0`.`key` = `t2`.`key`
GROUP BY `t0`.`key`) AS `t4`
INNER JOIN (SELECT `t6`.`key` AS `$f0`, SUM(CAST(`t6`.`value` AS DOUBLE)) / COUNT(CAST(`t6`.`value` AS DOUBLE)) AS `$f1`, SUM(`t8`.`value`) AS `$f2`
FROM (SELECT `key`, `value`
FROM `default`.`src`
-WHERE `value` > 1000000 AND `key` IS NOT NULL) AS `t6`
+WHERE `value` > 1.0000000E6 AND `key` IS NOT NULL) AS `t6`
INNER JOIN (SELECT `key`, `value`
FROM `default`.`src1`
-WHERE `value` > 1000000 AND `key` IS NOT NULL) AS `t8` ON `t6`.`key` = `t8`.`key`
+WHERE `value` > 1.0000000E6 AND `key` IS NOT NULL) AS `t8` ON `t6`.`key` = `t8`.`key`
GROUP BY `t6`.`key`) AS `t11` ON `t4`.`$f0` = `t11`.`$f0`
INNER JOIN (SELECT `t13`.`key` AS `$f0`, SUM(`t13`.`b`) / COUNT(`t13`.`b`) AS `$f1`, SUM(`t15`.`value`) AS `$f2`
-FROM (SELECT `key`, 3 * CAST(`value` AS DOUBLE) AS `b`
+FROM (SELECT `key`, 3.0E0 * CAST(`value` AS DOUBLE) AS `b`
FROM `default`.`src`
-WHERE `value` > 1000000 AND `key` IS NOT NULL) AS `t13`
+WHERE `value` > 1.0000000E6 AND `key` IS NOT NULL) AS `t13`
INNER JOIN (SELECT `key`, `value`
FROM `default`.`src1`
-WHERE `value` > 1000002 AND `key` IS NOT NULL) AS `t15` ON `t13`.`key` = `t15`.`key`
+WHERE `value` > 1.0000020E6 AND `key` IS NOT NULL) AS `t15` ON `t13`.`key` = `t15`.`key`
GROUP BY `t13`.`key`) AS `t17` ON `t4`.`$f0` = `t17`.`$f0`
INNER JOIN (SELECT `t19`.`key` AS `$f0`, SUM(`t19`.`b`) / COUNT(`t19`.`b`) AS `$f1`, SUM(`t21`.`value`) AS `$f2`
-FROM (SELECT `key`, 4 * CAST(`value` AS DOUBLE) AS `b`
+FROM (SELECT `key`, 4.0E0 * CAST(`value` AS DOUBLE) AS `b`
FROM `default`.`src`
-WHERE `value` > 1000000 AND `key` IS NOT NULL) AS `t19`
+WHERE `value` > 1.0000000E6 AND `key` IS NOT NULL) AS `t19`
INNER JOIN (SELECT `key`, `value`
FROM `default`.`src1`
-WHERE `value` > 1000003 AND `key` IS NOT NULL) AS `t21` ON `t19`.`key` = `t21`.`key`
+WHERE `value` > 1.0000030E6 AND `key` IS NOT NULL) AS `t21` ON `t19`.`key` = `t21`.`key`
GROUP BY `t19`.`key`) AS `t23` ON `t4`.`$f0` = `t23`.`$f0`
STAGE DEPENDENCIES:
Stage-1 is a root stage
diff --git a/ql/src/test/results/clientpositive/llap/stats_histogram.q.out b/ql/src/test/results/clientpositive/llap/stats_histogram.q.out
index 439ebba09c5a..a1926b299fb4 100644
--- a/ql/src/test/results/clientpositive/llap/stats_histogram.q.out
+++ b/ql/src/test/results/clientpositive/llap/stats_histogram.q.out
@@ -710,16 +710,16 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: test_stats
- filterExpr: (((d < 3.0) or (d > 7.0)) and (e > 0)) (type: boolean)
+ filterExpr: ((e > 0) and ((d < 3.0) or (d > 7.0))) (type: boolean)
Statistics: Num rows: 15 Data size: 1732 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (((d < 3.0) or (d > 7.0)) and (e > 0)) (type: boolean)
- Statistics: Num rows: 8 Data size: 924 Basic stats: COMPLETE Column stats: COMPLETE
+ predicate: ((e > 0) and ((d < 3.0) or (d > 7.0))) (type: boolean)
+ Statistics: Num rows: 9 Data size: 1040 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
- Statistics: Num rows: 8 Data size: 924 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 9 Data size: 1040 Basic stats: COMPLETE Column stats: COMPLETE
Group By Operator
aggregations: count()
- minReductionHashAggr: 0.875
+ minReductionHashAggr: 0.8888889
mode: hash
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
diff --git a/ql/src/test/results/clientpositive/llap/stats_unset_hilo.q.out b/ql/src/test/results/clientpositive/llap/stats_unset_hilo.q.out
index 8ea2e8fdc117..f2a6f4b8b8cf 100644
--- a/ql/src/test/results/clientpositive/llap/stats_unset_hilo.q.out
+++ b/ql/src/test/results/clientpositive/llap/stats_unset_hilo.q.out
@@ -857,7 +857,7 @@ POSTHOOK: Input: default@stats_both_unset
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT COUNT(*) AS `_c0`
FROM `default`.`stats_both_unset`
-WHERE `col_float` > 50
+WHERE `col_float` > 5.00E1
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -1006,7 +1006,7 @@ POSTHOOK: Input: default@stats_both_unset
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT COUNT(*) AS `_c0`
FROM `default`.`stats_both_unset`
-WHERE `col_double` < 500
+WHERE `col_double` < 5.000E2
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -1751,7 +1751,7 @@ POSTHOOK: Input: default@stats_min_only
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT COUNT(*) AS `_c0`
FROM `default`.`stats_min_only`
-WHERE `col_float` > 50
+WHERE `col_float` > 5.00E1
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -1900,7 +1900,7 @@ POSTHOOK: Input: default@stats_min_only
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT COUNT(*) AS `_c0`
FROM `default`.`stats_min_only`
-WHERE `col_double` > 200
+WHERE `col_double` > 2.000E2
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -2645,7 +2645,7 @@ POSTHOOK: Input: default@stats_max_only
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT COUNT(*) AS `_c0`
FROM `default`.`stats_max_only`
-WHERE `col_float` < 50
+WHERE `col_float` < 5.00E1
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -2794,7 +2794,7 @@ POSTHOOK: Input: default@stats_max_only
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT COUNT(*) AS `_c0`
FROM `default`.`stats_max_only`
-WHERE `col_double` < 500
+WHERE `col_double` < 5.000E2
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
diff --git a/ql/src/test/results/clientpositive/llap/subquery_ANY.q.out b/ql/src/test/results/clientpositive/llap/subquery_ANY.q.out
index a3eb9ed1fde7..0362c26e8e1f 100644
--- a/ql/src/test/results/clientpositive/llap/subquery_ANY.q.out
+++ b/ql/src/test/results/clientpositive/llap/subquery_ANY.q.out
@@ -701,7 +701,7 @@ STAGE PLANS:
outputColumnNames: _col0, _col1, _col2, _col3
Statistics: Num rows: 24 Data size: 2976 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
- expressions: _col1 (type: int), _col0 (type: string), (_col2 <> 0L) (type: boolean), (_col2 > _col3) is not true (type: boolean)
+ expressions: _col1 (type: int), _col0 (type: string), (_col2 <> 0L) (type: boolean), (_col2 <= _col3) (type: boolean)
outputColumnNames: _col0, _col1, _col2, _col3
Statistics: Num rows: 24 Data size: 2784 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
@@ -1591,7 +1591,7 @@ STAGE PLANS:
outputColumnNames: _col0, _col1, _col2, _col3
Statistics: Num rows: 24 Data size: 2976 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
- expressions: _col1 (type: int), _col0 (type: string), (_col2 <> 0L) (type: boolean), (_col2 > _col3) is not true (type: boolean)
+ expressions: _col1 (type: int), _col0 (type: string), (_col2 <> 0L) (type: boolean), (_col2 <= _col3) (type: boolean)
outputColumnNames: _col0, _col1, _col2, _col3
Statistics: Num rows: 24 Data size: 2784 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
@@ -1789,7 +1789,7 @@ STAGE PLANS:
outputColumnNames: _col0, _col1, _col2, _col3
Statistics: Num rows: 24 Data size: 2976 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
- expressions: _col1 (type: int), _col0 (type: string), (_col2 <> 0L) (type: boolean), (_col2 > _col3) is not true (type: boolean)
+ expressions: _col1 (type: int), _col0 (type: string), (_col2 <> 0L) (type: boolean), (_col2 <= _col3) (type: boolean)
outputColumnNames: _col0, _col1, _col2, _col3
Statistics: Num rows: 24 Data size: 2784 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
diff --git a/ql/src/test/results/clientpositive/llap/subquery_in.q.out b/ql/src/test/results/clientpositive/llap/subquery_in.q.out
index 598b05aa0600..550a427829b3 100644
--- a/ql/src/test/results/clientpositive/llap/subquery_in.q.out
+++ b/ql/src/test/results/clientpositive/llap/subquery_in.q.out
@@ -314,7 +314,7 @@ STAGE PLANS:
Map-reduce partition columns: p_mfgr (type: string)
Statistics: Num rows: 26 Data size: 2652 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: UDFToDouble(p_size) is not null (type: boolean)
+ predicate: p_size is not null (type: boolean)
Statistics: Num rows: 26 Data size: 3250 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: p_name (type: string), p_size (type: int)
@@ -384,7 +384,7 @@ STAGE PLANS:
outputColumnNames: _col0, _col1
Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (_col1 is not null and UDFToDouble(_col0) is not null) (type: boolean)
+ predicate: (UDFToDouble(_col0) / _col1) is not null (type: boolean)
Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: (UDFToDouble(_col0) / _col1) (type: double)
@@ -1415,7 +1415,7 @@ STAGE PLANS:
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 100 Data size: 2000 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (_col1 is not null and _col2 is not null) (type: boolean)
+ predicate: (_col1 / _col2) is not null (type: boolean)
Statistics: Num rows: 100 Data size: 2000 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: (_col1 / _col2) (type: double), _col0 (type: int)
@@ -4300,10 +4300,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: part
- filterExpr: ((p_type is not null and UDFToLong(p_size) is not null) or p_type is not null) (type: boolean)
+ filterExpr: ((p_type is not null and p_size is not null) or p_type is not null) (type: boolean)
Statistics: Num rows: 26 Data size: 16094 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (p_type is not null and UDFToLong(p_size) is not null) (type: boolean)
+ predicate: (p_type is not null and p_size is not null) (type: boolean)
Statistics: Num rows: 26 Data size: 16094 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: p_partkey (type: int), p_name (type: string), p_mfgr (type: string), p_brand (type: string), p_type (type: string), p_size (type: int), p_container (type: string), p_retailprice (type: double), p_comment (type: string)
@@ -4478,10 +4478,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: part
- filterExpr: ((p_partkey is not null and UDFToDouble(p_size) is not null) or p_partkey is not null) (type: boolean)
+ filterExpr: ((p_partkey is not null and p_size is not null) or p_partkey is not null) (type: boolean)
Statistics: Num rows: 26 Data size: 16094 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (p_partkey is not null and UDFToDouble(p_size) is not null) (type: boolean)
+ predicate: (p_partkey is not null and p_size is not null) (type: boolean)
Statistics: Num rows: 26 Data size: 16094 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: p_partkey (type: int), p_name (type: string), p_mfgr (type: string), p_brand (type: string), p_type (type: string), p_size (type: int), p_container (type: string), p_retailprice (type: double), p_comment (type: string)
@@ -4541,7 +4541,7 @@ STAGE PLANS:
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 25 Data size: 500 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (_col2 is not null and UDFToDouble(_col1) is not null) (type: boolean)
+ predicate: (UDFToDouble(_col1) / _col2) is not null (type: boolean)
Statistics: Num rows: 25 Data size: 500 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col0 (type: int), (UDFToDouble(_col1) / _col2) (type: double)
@@ -5181,7 +5181,7 @@ STAGE PLANS:
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 25 Data size: 500 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (_col2 is not null and UDFToDouble(_col1) is not null) (type: boolean)
+ predicate: (UDFToDouble(_col1) / _col2) is not null (type: boolean)
Statistics: Num rows: 25 Data size: 500 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: (UDFToDouble(_col1) / _col2) (type: double), true (type: boolean), _col0 (type: int)
@@ -5308,10 +5308,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: t_n22
- filterExpr: UDFToLong(i) is not null (type: boolean)
+ filterExpr: i is not null (type: boolean)
Statistics: Num rows: 2 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: UDFToLong(i) is not null (type: boolean)
+ predicate: i is not null (type: boolean)
Statistics: Num rows: 2 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: i (type: int)
@@ -5543,10 +5543,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: t_n22
- filterExpr: (UDFToLong(i) is not null and j is not null) (type: boolean)
+ filterExpr: (i is not null and j is not null) (type: boolean)
Statistics: Num rows: 2 Data size: 16 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (UDFToLong(i) is not null and j is not null) (type: boolean)
+ predicate: (i is not null and j is not null) (type: boolean)
Statistics: Num rows: 2 Data size: 16 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: i (type: int), j (type: int)
diff --git a/ql/src/test/results/clientpositive/llap/subquery_in_invalid_intermediate_plan.q.out b/ql/src/test/results/clientpositive/llap/subquery_in_invalid_intermediate_plan.q.out
index b703c09d4941..8c5ea40d8e60 100644
--- a/ql/src/test/results/clientpositive/llap/subquery_in_invalid_intermediate_plan.q.out
+++ b/ql/src/test/results/clientpositive/llap/subquery_in_invalid_intermediate_plan.q.out
@@ -16,10 +16,10 @@ CBO PLAN:
HiveProject(b.key=[$0], b.value=[$1])
HiveSemiJoin(condition=[AND(=($0, $2), =($1, $3))], joinType=[semi])
HiveProject(key=[$0], value=[$1])
- HiveFilter(condition=[AND(>($0, _UTF-16LE'9'), IS NOT NULL($1))])
+ HiveFilter(condition=[AND(>($0, '9'), IS NOT NULL($1))])
HiveTableScan(table=[[default, src]], table:alias=[b])
HiveProject(key=[$0], value=[$1])
- HiveFilter(condition=[AND(>($0, _UTF-16LE'9'), IS NOT NULL($1))])
+ HiveFilter(condition=[AND(>($0, '9'), IS NOT NULL($1))])
HiveTableScan(table=[[default, src]], table:alias=[a])
PREHOOK: query: explain cbo
@@ -179,7 +179,7 @@ HiveProject(b.key=[$0], b.value=[$1])
HiveTableScan(table=[[default, src]], table:alias=[b])
HiveProject(key=[$0], key0=[$0])
HiveAggregate(group=[{0}])
- HiveFilter(condition=[>($0, _UTF-16LE'9')])
+ HiveFilter(condition=[>($0, '9')])
HiveTableScan(table=[[default, src]], table:alias=[a])
PREHOOK: query: select *
diff --git a/ql/src/test/results/clientpositive/llap/subquery_multi.q.out b/ql/src/test/results/clientpositive/llap/subquery_multi.q.out
index 3d09b512cee6..af1ba20448ec 100644
--- a/ql/src/test/results/clientpositive/llap/subquery_multi.q.out
+++ b/ql/src/test/results/clientpositive/llap/subquery_multi.q.out
@@ -959,7 +959,7 @@ STAGE PLANS:
Statistics: Num rows: 1 Data size: 102 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: bigint), _col1 (type: bigint)
Filter Operator
- predicate: CAST( c AS STRING) is not null (type: boolean)
+ predicate: c is not null (type: boolean)
Statistics: Num rows: 1 Data size: 86 Basic stats: COMPLETE Column stats: NONE
Group By Operator
keys: c (type: char(2))
@@ -3151,7 +3151,7 @@ STAGE PLANS:
outputColumnNames: _col0, _col1
Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (_col0 is not null and _col1 is not null) (type: boolean)
+ predicate: (_col0 / _col1) is not null (type: boolean)
Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: (_col0 / _col1) (type: double), true (type: boolean)
diff --git a/ql/src/test/results/clientpositive/llap/subquery_nested_expressions.q.out b/ql/src/test/results/clientpositive/llap/subquery_nested_expressions.q.out
index b60245997a9c..e7217415b441 100644
--- a/ql/src/test/results/clientpositive/llap/subquery_nested_expressions.q.out
+++ b/ql/src/test/results/clientpositive/llap/subquery_nested_expressions.q.out
@@ -29,8 +29,8 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: default@t0
#### A masked pattern was here ####
CBO PLAN:
-HiveProject(x4=[CAST(_UTF-16LE'Something':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
- HiveFilter(condition=[=(concat_ws(_UTF-16LE'L4':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", concat_ws(_UTF-16LE'L3':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", concat_ws(_UTF-16LE'L2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0), concat_ws(_UTF-16LE'L2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0), concat_ws(_UTF-16LE'L2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0), concat_ws(_UTF-16LE'L2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0)), concat_ws(_UTF-16LE'L3':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", concat_ws(_UTF-16LE'L2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0), concat_ws(_UTF-16LE'L2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0), concat_ws(_UTF-16LE'L2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0), concat_ws(_UTF-16LE'L2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0)), concat_ws(_UTF-16LE'L3':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", concat_ws(_UTF-16LE'L2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0), concat_ws(_UTF-16LE'L2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0), concat_ws(_UTF-16LE'L2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0), concat_ws(_UTF-16LE'L2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0)), concat_ws(_UTF-16LE'L3':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", concat_ws(_UTF-16LE'L2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0), concat_ws(_UTF-16LE'L2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0), concat_ws(_UTF-16LE'L2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0), concat_ws(_UTF-16LE'L2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0))), _UTF-16LE'Something')])
- HiveProject(x1=[concat_ws(_UTF-16LE'L1':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", concat_ws(_UTF-16LE'L0':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0), concat_ws(_UTF-16LE'L0':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0), concat_ws(_UTF-16LE'L0':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0), concat_ws(_UTF-16LE'L0':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0))])
+HiveProject(x4=[CAST('Something':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
+ HiveFilter(condition=[=(concat_ws('L4':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", concat_ws('L3':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", concat_ws('L2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0), concat_ws('L2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0), concat_ws('L2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0), concat_ws('L2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0)), concat_ws('L3':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", concat_ws('L2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0), concat_ws('L2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0), concat_ws('L2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0), concat_ws('L2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0)), concat_ws('L3':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", concat_ws('L2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0), concat_ws('L2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0), concat_ws('L2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0), concat_ws('L2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0)), concat_ws('L3':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", concat_ws('L2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0), concat_ws('L2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0), concat_ws('L2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0), concat_ws('L2':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0))), 'Something')])
+ HiveProject(x1=[concat_ws('L1':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", concat_ws('L0':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0), concat_ws('L0':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0), concat_ws('L0':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0), concat_ws('L0':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0, $0, $0, $0))])
HiveTableScan(table=[[default, t0]], table:alias=[t0])
diff --git a/ql/src/test/results/clientpositive/llap/subquery_notexists.q.out b/ql/src/test/results/clientpositive/llap/subquery_notexists.q.out
index 6c71bc5f88b1..69514739bce8 100644
--- a/ql/src/test/results/clientpositive/llap/subquery_notexists.q.out
+++ b/ql/src/test/results/clientpositive/llap/subquery_notexists.q.out
@@ -646,7 +646,7 @@ HiveProject(p1.p_name=[$0])
HiveProject(p_col0=[CAST($4):DOUBLE])
HiveTableScan(table=[[default, part]], table:alias=[part])
HiveProject(literalTrue=[true], p_partkey0=[CAST($0):DOUBLE])
- HiveFilter(condition=[IS NOT NULL(CAST($0):DOUBLE)])
+ HiveFilter(condition=[IS NOT NULL($0)])
HiveTableScan(table=[[default, part]], table:alias=[pp1])
Warning: Shuffle Join MERGEJOIN[24][tables = [$hdt$_0, $hdt$_1]] in Stage 'Reducer 2' is a cross product
@@ -688,7 +688,7 @@ STAGE PLANS:
Statistics: Num rows: 26 Data size: 3146 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col0 (type: string)
Filter Operator
- predicate: UDFToDouble(p_partkey) is not null (type: boolean)
+ predicate: p_partkey is not null (type: boolean)
Statistics: Num rows: 26 Data size: 104 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: UDFToDouble(p_partkey) (type: double)
@@ -1484,7 +1484,7 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: default@tschema
#### A masked pattern was here ####
CBO PLAN:
-HiveProject(eid=[_UTF-16LE'empno':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], a.id=[$0])
+HiveProject(eid=['empno':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], a.id=[$0])
HiveAggregate(group=[{0}])
HiveAntiJoin(condition=[=($0, $2)], joinType=[anti])
HiveProject(id=[$0])
diff --git a/ql/src/test/results/clientpositive/llap/subquery_notin.q.out b/ql/src/test/results/clientpositive/llap/subquery_notin.q.out
index fa79cd87dd13..bfbc465981bc 100644
--- a/ql/src/test/results/clientpositive/llap/subquery_notin.q.out
+++ b/ql/src/test/results/clientpositive/llap/subquery_notin.q.out
@@ -790,7 +790,7 @@ STAGE PLANS:
outputColumnNames: _col0, _col1
Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (_col1 is not null and UDFToDouble(_col0) is not null) (type: boolean)
+ predicate: (UDFToDouble(_col0) / _col1) is not null (type: boolean)
Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: (UDFToDouble(_col0) / _col1) (type: double), true (type: boolean)
@@ -1671,7 +1671,7 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: part
- filterExpr: (((p_size <> 340) and (p_brand <> 'Brand#14')) or p_type is not null or (((p_size * p_size) <> 340) and p_type is not null and p_size is not null)) (type: boolean)
+ filterExpr: (((p_size <> 340) and (p_brand <> 'Brand#14')) or p_type is not null or (((p_size * p_size) <> 340) and p_type is not null)) (type: boolean)
Statistics: Num rows: 26 Data size: 16094 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: ((p_size <> 340) and (p_brand <> 'Brand#14')) (type: boolean)
@@ -1709,7 +1709,7 @@ STAGE PLANS:
Statistics: Num rows: 24 Data size: 2880 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col1 (type: bigint), _col2 (type: bigint)
Filter Operator
- predicate: (((p_size * p_size) <> 340) and p_type is not null and p_size is not null) (type: boolean)
+ predicate: (((p_size * p_size) <> 340) and p_type is not null) (type: boolean)
Statistics: Num rows: 26 Data size: 2808 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: (p_size * p_size) (type: int), p_type (type: string)
@@ -3145,7 +3145,7 @@ STAGE PLANS:
Statistics: Num rows: 16 Data size: 1728 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col1 (type: bigint), _col2 (type: bigint)
Filter Operator
- predicate: (p_brand is not null and UDFToDouble(p_type) is not null) (type: boolean)
+ predicate: (p_brand is not null and (UDFToDouble(p_type) + 2.0D) is not null) (type: boolean)
Statistics: Num rows: 26 Data size: 5096 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: (UDFToDouble(p_type) + 2.0D) (type: double), p_brand (type: string)
@@ -5663,12 +5663,12 @@ HiveProject(c1=[$0])
HiveProject(c10=[$0], c=[$1], ck=[$2])
HiveAggregate(group=[{0}], c=[COUNT()], ck=[COUNT($1)])
HiveProject(c10=[CAST($0):DOUBLE], c1=[$0])
- HiveFilter(condition=[IS NOT NULL(CAST($0):DOUBLE)])
+ HiveFilter(condition=[IS NOT NULL($0)])
HiveTableScan(table=[[default, t2_n0]], table:alias=[t2_n0])
HiveProject(c1=[$0], literalTrue=[true], c10=[$1])
HiveAggregate(group=[{0, 1}])
HiveProject(c1=[$0], c10=[CAST($0):DOUBLE])
- HiveFilter(condition=[AND(IS NOT NULL($0), IS NOT NULL(CAST($0):DOUBLE))])
+ HiveFilter(condition=[IS NOT NULL($0)])
HiveTableScan(table=[[default, t2_n0]], table:alias=[t2_n0])
PREHOOK: query: explain SELECT c1 FROM t1_n0 WHERE c1 NOT IN (SELECT c1 FROM t2_n0 where t1_n0.c2=t2_n0.c1)
@@ -5718,10 +5718,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: t2_n0
- filterExpr: (UDFToDouble(c1) is not null or (c1 is not null and UDFToDouble(c1) is not null)) (type: boolean)
+ filterExpr: c1 is not null (type: boolean)
Statistics: Num rows: 3 Data size: 12 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: UDFToDouble(c1) is not null (type: boolean)
+ predicate: c1 is not null (type: boolean)
Statistics: Num rows: 2 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: UDFToDouble(c1) (type: double), c1 (type: int)
@@ -5741,25 +5741,22 @@ STAGE PLANS:
Map-reduce partition columns: _col0 (type: double)
Statistics: Num rows: 2 Data size: 48 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col1 (type: bigint), _col2 (type: bigint)
- Filter Operator
- predicate: (c1 is not null and UDFToDouble(c1) is not null) (type: boolean)
- Statistics: Num rows: 1 Data size: 4 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: c1 (type: int), UDFToDouble(c1) (type: double)
outputColumnNames: _col0, _col1
- Statistics: Num rows: 1 Data size: 4 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 2 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
Group By Operator
keys: _col0 (type: int), _col1 (type: double)
minReductionHashAggr: 0.4
mode: hash
outputColumnNames: _col0, _col1
- Statistics: Num rows: 1 Data size: 12 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 2 Data size: 24 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col0 (type: int), _col1 (type: double)
null sort order: zz
sort order: ++
Map-reduce partition columns: _col0 (type: int), _col1 (type: double)
- Statistics: Num rows: 1 Data size: 12 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 2 Data size: 24 Basic stats: COMPLETE Column stats: COMPLETE
Execution mode: vectorized, llap
LLAP IO: all inputs
Reducer 2
@@ -5790,21 +5787,21 @@ STAGE PLANS:
0 _col0 (type: int), _col2 (type: double)
1 _col0 (type: int), _col2 (type: double)
outputColumnNames: _col0, _col4, _col5, _col7
- Statistics: Num rows: 5 Data size: 92 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 4 Data size: 76 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col0 (type: int), _col4 (type: bigint), _col5 (type: bigint), _col7 (type: boolean)
outputColumnNames: _col0, _col1, _col2, _col5
- Statistics: Num rows: 5 Data size: 92 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 4 Data size: 76 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: (_col1 is null or (_col1 = 0L) or (_col0 is null or _col5 is not null or (_col2 < _col1)) is not true) (type: boolean)
- Statistics: Num rows: 5 Data size: 92 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 4 Data size: 76 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col0 (type: int)
outputColumnNames: _col0
- Statistics: Num rows: 5 Data size: 20 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 4 Data size: 16 Basic stats: COMPLETE Column stats: COMPLETE
File Output Operator
compressed: false
- Statistics: Num rows: 5 Data size: 20 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 4 Data size: 16 Basic stats: COMPLETE Column stats: COMPLETE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
@@ -5832,17 +5829,17 @@ STAGE PLANS:
keys: KEY._col0 (type: int), KEY._col1 (type: double)
mode: mergepartial
outputColumnNames: _col0, _col1
- Statistics: Num rows: 1 Data size: 12 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 2 Data size: 24 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col0 (type: int), true (type: boolean), _col1 (type: double)
outputColumnNames: _col0, _col1, _col2
- Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 2 Data size: 32 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col0 (type: int), _col2 (type: double)
null sort order: zz
sort order: ++
Map-reduce partition columns: _col0 (type: int), _col2 (type: double)
- Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 2 Data size: 32 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col1 (type: boolean)
Stage: Stage-0
diff --git a/ql/src/test/results/clientpositive/llap/subquery_notin_having.q.out b/ql/src/test/results/clientpositive/llap/subquery_notin_having.q.out
index a6574555f204..750210c25b09 100644
--- a/ql/src/test/results/clientpositive/llap/subquery_notin_having.q.out
+++ b/ql/src/test/results/clientpositive/llap/subquery_notin_having.q.out
@@ -345,7 +345,7 @@ STAGE PLANS:
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 5 Data size: 570 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (((_col2 - _col1) > 600.0D) and _col1 is not null) (type: boolean)
+ predicate: ((_col2 - _col1) > 600.0D) (type: boolean)
Statistics: Num rows: 1 Data size: 114 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col0 (type: string), _col1 (type: double)
@@ -391,7 +391,7 @@ STAGE PLANS:
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 5 Data size: 570 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (((_col2 - _col1) > 600.0D) and _col1 is not null) (type: boolean)
+ predicate: ((_col2 - _col1) > 600.0D) (type: boolean)
Statistics: Num rows: 1 Data size: 114 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col0 (type: string), true (type: boolean), _col1 (type: double)
diff --git a/ql/src/test/results/clientpositive/llap/subquery_scalar.q.out b/ql/src/test/results/clientpositive/llap/subquery_scalar.q.out
index 8b6d00df553f..6b9e01a63922 100644
--- a/ql/src/test/results/clientpositive/llap/subquery_scalar.q.out
+++ b/ql/src/test/results/clientpositive/llap/subquery_scalar.q.out
@@ -107,10 +107,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: part
- filterExpr: UDFToDouble(p_size) is not null (type: boolean)
+ filterExpr: p_size is not null (type: boolean)
Statistics: Num rows: 26 Data size: 16094 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: UDFToDouble(p_size) is not null (type: boolean)
+ predicate: p_size is not null (type: boolean)
Statistics: Num rows: 26 Data size: 16094 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: p_partkey (type: int), p_name (type: string), p_mfgr (type: string), p_brand (type: string), p_type (type: string), p_size (type: int), p_container (type: string), p_retailprice (type: double), p_comment (type: string), UDFToDouble(p_size) (type: double)
@@ -177,7 +177,7 @@ STAGE PLANS:
outputColumnNames: _col0, _col1
Statistics: Num rows: 1 Data size: 20 Basic stats: COMPLETE Column stats: NONE
Filter Operator
- predicate: (UDFToDouble(_col0) is not null and _col1 is not null) (type: boolean)
+ predicate: (UDFToDouble(_col0) / _col1) is not null (type: boolean)
Statistics: Num rows: 1 Data size: 20 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: (UDFToDouble(_col0) / _col1) (type: double)
@@ -291,10 +291,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: part
- filterExpr: UDFToDouble(p_size) is not null (type: boolean)
+ filterExpr: p_size is not null (type: boolean)
Statistics: Num rows: 26 Data size: 16094 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: UDFToDouble(p_size) is not null (type: boolean)
+ predicate: p_size is not null (type: boolean)
Statistics: Num rows: 26 Data size: 16094 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: p_partkey (type: int), p_name (type: string), p_mfgr (type: string), p_brand (type: string), p_type (type: string), p_size (type: int), p_container (type: string), p_retailprice (type: double), p_comment (type: string), UDFToDouble(p_size) (type: double)
@@ -742,7 +742,7 @@ STAGE PLANS:
Statistics: Num rows: 1 Data size: 4 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col0 (type: int)
Filter Operator
- predicate: UDFToDouble(p_size) is not null (type: boolean)
+ predicate: p_size is not null (type: boolean)
Statistics: Num rows: 26 Data size: 16094 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: p_partkey (type: int), p_name (type: string), p_mfgr (type: string), p_brand (type: string), p_type (type: string), p_size (type: int), p_container (type: string), p_retailprice (type: double), p_comment (type: string), UDFToDouble(p_size) (type: double)
@@ -764,7 +764,7 @@ STAGE PLANS:
outputColumnNames: _col0, _col1
Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (_col1 is not null and UDFToDouble(_col0) is not null) (type: boolean)
+ predicate: (UDFToDouble(_col0) / _col1) is not null (type: boolean)
Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: (UDFToDouble(_col0) / _col1) (type: double)
@@ -807,7 +807,7 @@ STAGE PLANS:
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 4 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: UDFToDouble(_col0) is not null (type: boolean)
+ predicate: _col0 is not null (type: boolean)
Statistics: Num rows: 1 Data size: 4 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: UDFToDouble(_col0) (type: double)
@@ -1476,10 +1476,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: part
- filterExpr: (p_type is not null and UDFToDouble(p_size) is not null) (type: boolean)
+ filterExpr: (p_type is not null and p_size is not null) (type: boolean)
Statistics: Num rows: 26 Data size: 16094 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (p_type is not null and UDFToDouble(p_size) is not null) (type: boolean)
+ predicate: (p_type is not null and p_size is not null) (type: boolean)
Statistics: Num rows: 26 Data size: 16094 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: p_partkey (type: int), p_name (type: string), p_mfgr (type: string), p_brand (type: string), p_type (type: string), p_size (type: int), p_container (type: string), p_retailprice (type: double), p_comment (type: string), UDFToDouble(p_size) (type: double)
@@ -1552,7 +1552,7 @@ STAGE PLANS:
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 1 Data size: 188 Basic stats: COMPLETE Column stats: NONE
Filter Operator
- predicate: (UDFToDouble(_col1) is not null and _col2 is not null) (type: boolean)
+ predicate: (UDFToDouble(_col1) / _col2) is not null (type: boolean)
Statistics: Num rows: 1 Data size: 188 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: (UDFToDouble(_col1) / _col2) (type: double), _col0 (type: string)
@@ -2233,15 +2233,15 @@ STAGE PLANS:
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10
Statistics: Num rows: 26 Data size: 16406 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: if(_col10 is null, (UDFToLong(_col5) <> 0L), (UDFToLong(_col5) <> _col9)) (type: boolean)
- Statistics: Num rows: 13 Data size: 8203 Basic stats: COMPLETE Column stats: COMPLETE
+ predicate: (((UDFToLong(_col5) <> _col9) and _col10 is not null) or (_col10 is null and (UDFToLong(_col5) <> 0L))) (type: boolean)
+ Statistics: Num rows: 26 Data size: 16406 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col0 (type: int), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: int), _col6 (type: string), _col7 (type: double), _col8 (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8
- Statistics: Num rows: 13 Data size: 8047 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 26 Data size: 16094 Basic stats: COMPLETE Column stats: COMPLETE
File Output Operator
compressed: false
- Statistics: Num rows: 13 Data size: 8047 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 26 Data size: 16094 Basic stats: COMPLETE Column stats: COMPLETE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
@@ -2703,7 +2703,7 @@ STAGE PLANS:
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col0 (type: bigint)
Filter Operator
- predicate: UDFToLong(p_size) is not null (type: boolean)
+ predicate: p_size is not null (type: boolean)
Statistics: Num rows: 26 Data size: 16094 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: p_partkey (type: int), p_name (type: string), p_mfgr (type: string), p_brand (type: string), p_type (type: string), p_size (type: int), p_container (type: string), p_retailprice (type: double), p_comment (type: string), UDFToLong(p_size) (type: bigint)
@@ -4138,7 +4138,7 @@ STAGE PLANS:
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 100 Data size: 2000 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (_col1 is not null and _col2 is not null) (type: boolean)
+ predicate: (_col1 / _col2) is not null (type: boolean)
Statistics: Num rows: 100 Data size: 2000 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: (_col1 / _col2) (type: double), _col0 (type: int)
@@ -4726,15 +4726,15 @@ STAGE PLANS:
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11
Statistics: Num rows: 8 Data size: 2751 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: if(_col11 is null, (UDFToLong(_col2) <> 0L), (UDFToLong(_col2) <> _col10)) (type: boolean)
- Statistics: Num rows: 4 Data size: 1428 Basic stats: COMPLETE Column stats: COMPLETE
+ predicate: ((_col11 is null and (UDFToLong(_col2) <> 0L)) or ((UDFToLong(_col2) <> _col10) and _col11 is not null)) (type: boolean)
+ Statistics: Num rows: 8 Data size: 2751 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col0 (type: int), _col1 (type: string), _col2 (type: int), _col3 (type: string), _col4 (type: string), _col5 (type: int), _col6 (type: int), _col7 (type: boolean), _col8 (type: boolean), _col9 (type: date)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9
- Statistics: Num rows: 4 Data size: 1404 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 8 Data size: 2703 Basic stats: COMPLETE Column stats: COMPLETE
File Output Operator
compressed: false
- Statistics: Num rows: 4 Data size: 1404 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 8 Data size: 2703 Basic stats: COMPLETE Column stats: COMPLETE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
@@ -5012,18 +5012,18 @@ STAGE PLANS:
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11
Statistics: Num rows: 8 Data size: 2751 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: if(_col11 is null, (UDFToLong(_col2) <> 0L), (UDFToLong(_col2) <> _col10)) (type: boolean)
- Statistics: Num rows: 4 Data size: 1428 Basic stats: COMPLETE Column stats: COMPLETE
+ predicate: ((_col11 is null and (UDFToLong(_col2) <> 0L)) or ((UDFToLong(_col2) <> _col10) and _col11 is not null)) (type: boolean)
+ Statistics: Num rows: 8 Data size: 2751 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col0 (type: int), _col1 (type: string), _col2 (type: int), _col3 (type: string), _col4 (type: string), _col5 (type: int), _col6 (type: int), _col7 (type: boolean), _col8 (type: boolean), _col9 (type: date), _col11 (type: boolean)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col11
- Statistics: Num rows: 4 Data size: 1412 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 8 Data size: 2719 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col2 (type: int)
null sort order: z
sort order: +
Map-reduce partition columns: _col2 (type: int)
- Statistics: Num rows: 4 Data size: 1412 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 8 Data size: 2719 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col0 (type: int), _col1 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: int), _col6 (type: int), _col7 (type: boolean), _col8 (type: boolean), _col9 (type: date), _col11 (type: boolean)
Reducer 3
Execution mode: llap
@@ -5035,10 +5035,10 @@ STAGE PLANS:
0 _col2 (type: int)
1 _col1 (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col11, _col13
- Statistics: Num rows: 4 Data size: 1444 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 8 Data size: 2783 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: if(_col11 is null, (UDFToLong(_col0) > 0L), (UDFToLong(_col0) > _col13)) (type: boolean)
- Statistics: Num rows: 2 Data size: 722 Basic stats: COMPLETE Column stats: COMPLETE
+ predicate: ((_col11 is null and (UDFToLong(_col0) > 0L)) or ((UDFToLong(_col0) > _col13) and _col11 is not null)) (type: boolean)
+ Statistics: Num rows: 2 Data size: 726 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col0 (type: int), _col1 (type: string), _col2 (type: int), _col3 (type: string), _col4 (type: string), _col5 (type: int), _col6 (type: int), _col7 (type: boolean), _col8 (type: boolean), _col9 (type: date)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9
@@ -5142,10 +5142,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: emps_n4
- filterExpr: (name is not null and UDFToLong(empno) is not null) (type: boolean)
+ filterExpr: (name is not null and empno is not null) (type: boolean)
Statistics: Num rows: 5 Data size: 1650 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (name is not null and UDFToLong(empno) is not null) (type: boolean)
+ predicate: (name is not null and empno is not null) (type: boolean)
Statistics: Num rows: 5 Data size: 1650 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: empno (type: int), name (type: string), deptno (type: int), gender (type: string), city (type: string), empid (type: int), age (type: int), slacker (type: boolean), manager (type: boolean), joinedat (type: date), UDFToLong(deptno) (type: bigint)
@@ -6126,15 +6126,15 @@ STAGE PLANS:
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10
Statistics: Num rows: 26 Data size: 16406 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: if(_col10 is null, (UDFToLong(_col5) <> 0L), (UDFToLong(_col5) <> _col9)) (type: boolean)
- Statistics: Num rows: 13 Data size: 8203 Basic stats: COMPLETE Column stats: COMPLETE
+ predicate: (((UDFToLong(_col5) <> _col9) and _col10 is not null) or (_col10 is null and (UDFToLong(_col5) <> 0L))) (type: boolean)
+ Statistics: Num rows: 26 Data size: 16406 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col0 (type: int), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: int), _col6 (type: string), _col7 (type: double), _col8 (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8
- Statistics: Num rows: 13 Data size: 8047 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 26 Data size: 16094 Basic stats: COMPLETE Column stats: COMPLETE
File Output Operator
compressed: false
- Statistics: Num rows: 13 Data size: 8047 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 26 Data size: 16094 Basic stats: COMPLETE Column stats: COMPLETE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
diff --git a/ql/src/test/results/clientpositive/llap/subquery_select.q.out b/ql/src/test/results/clientpositive/llap/subquery_select.q.out
index 69beb9d179b0..e1bf4e5fbf33 100644
--- a/ql/src/test/results/clientpositive/llap/subquery_select.q.out
+++ b/ql/src/test/results/clientpositive/llap/subquery_select.q.out
@@ -656,10 +656,10 @@ STAGE PLANS:
outputColumnNames: _col0, _col1, _col2, _col4, _col5, _col6
Statistics: Num rows: 26 Data size: 3136 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
- key expressions: _col0 (type: string), _col1 (type: int)
+ key expressions: _col1 (type: int), _col0 (type: string)
null sort order: zz
sort order: ++
- Map-reduce partition columns: _col0 (type: string), _col1 (type: int)
+ Map-reduce partition columns: _col1 (type: int), _col0 (type: string)
Statistics: Num rows: 26 Data size: 3136 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col2 (type: boolean), _col4 (type: bigint), _col5 (type: boolean), _col6 (type: boolean)
Reducer 4
@@ -669,8 +669,8 @@ STAGE PLANS:
condition map:
Left Outer Join 0 to 1
keys:
- 0 _col0 (type: string), _col1 (type: int)
- 1 _col2 (type: string), _col0 (type: int)
+ 0 _col1 (type: int), _col0 (type: string)
+ 1 _col0 (type: int), _col2 (type: string)
outputColumnNames: _col1, _col2, _col4, _col5, _col6, _col8
Statistics: Num rows: 48 Data size: 1068 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
@@ -701,10 +701,10 @@ STAGE PLANS:
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 24 Data size: 2688 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
- key expressions: _col2 (type: string), _col0 (type: int)
+ key expressions: _col0 (type: int), _col2 (type: string)
null sort order: zz
sort order: ++
- Map-reduce partition columns: _col2 (type: string), _col0 (type: int)
+ Map-reduce partition columns: _col0 (type: int), _col2 (type: string)
Statistics: Num rows: 24 Data size: 2688 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col1 (type: boolean)
Group By Operator
@@ -4225,7 +4225,7 @@ STAGE PLANS:
Statistics: Num rows: 26 Data size: 208 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col1 (type: int)
Filter Operator
- predicate: UDFToDouble(p_size) is not null (type: boolean)
+ predicate: p_size is not null (type: boolean)
Statistics: Num rows: 26 Data size: 208 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: p_partkey (type: int), UDFToDouble(p_size) (type: double)
@@ -4247,7 +4247,7 @@ STAGE PLANS:
outputColumnNames: _col0, _col1
Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (_col1 is not null and UDFToDouble(_col0) is not null) (type: boolean)
+ predicate: (UDFToDouble(_col0) / _col1) is not null (type: boolean)
Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: (UDFToDouble(_col0) / _col1) (type: double)
diff --git a/ql/src/test/results/clientpositive/llap/swo_pruned_merge.q.out b/ql/src/test/results/clientpositive/llap/swo_pruned_merge.q.out
index 0327cec5261e..2b18c0348753 100644
--- a/ql/src/test/results/clientpositive/llap/swo_pruned_merge.q.out
+++ b/ql/src/test/results/clientpositive/llap/swo_pruned_merge.q.out
@@ -261,10 +261,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: t
- filterExpr: (ds is not null and UDFToDouble(hr) is not null) (type: boolean)
+ filterExpr: (ds is not null and hr is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 98 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (ds is not null and UDFToDouble(hr) is not null) (type: boolean)
+ predicate: (ds is not null and hr is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 98 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: ds (type: string), UDFToDouble(hr) (type: double)
diff --git a/ql/src/test/results/clientpositive/llap/temp_table_alter_partition_coltype.q.out b/ql/src/test/results/clientpositive/llap/temp_table_alter_partition_coltype.q.out
index e7087c42ad18..30d868729387 100644
--- a/ql/src/test/results/clientpositive/llap/temp_table_alter_partition_coltype.q.out
+++ b/ql/src/test/results/clientpositive/llap/temp_table_alter_partition_coltype.q.out
@@ -138,7 +138,7 @@ POSTHOOK: Input: default@alter_coltype_temp@dt=100/ts=6.30
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT COUNT(*) AS `_c0`
FROM `default`.`alter_coltype_temp`
-WHERE `ts` = 6.30
+WHERE `ts` = 6.3E0
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -327,7 +327,7 @@ POSTHOOK: Input: default@alter_coltype_temp@dt=100/ts=6.30
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT COUNT(*) AS `_c0`
FROM `default`.`alter_coltype_temp`
-WHERE `ts` = 3 AND `dt` = 100
+WHERE `ts` = 3.0E0 AND `dt` = 1.000E2
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
diff --git a/ql/src/test/results/clientpositive/llap/tez_dynpart_hashjoin_2.q.out b/ql/src/test/results/clientpositive/llap/tez_dynpart_hashjoin_2.q.out
index 4dbe7350050c..1df2ddaadf92 100644
--- a/ql/src/test/results/clientpositive/llap/tez_dynpart_hashjoin_2.q.out
+++ b/ql/src/test/results/clientpositive/llap/tez_dynpart_hashjoin_2.q.out
@@ -46,21 +46,21 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: a
- filterExpr: ((csmallint < 100S) and UDFToInteger(csmallint) is not null) (type: boolean)
+ filterExpr: (csmallint < 100S) (type: boolean)
Statistics: Num rows: 12288 Data size: 2844090 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((csmallint < 100S) and UDFToInteger(csmallint) is not null) (type: boolean)
- Statistics: Num rows: 4615 Data size: 1068260 Basic stats: COMPLETE Column stats: COMPLETE
+ predicate: (csmallint < 100S) (type: boolean)
+ Statistics: Num rows: 6182 Data size: 1430960 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: ctinyint (type: tinyint), csmallint (type: smallint), cint (type: int), cbigint (type: bigint), cfloat (type: float), cdouble (type: double), cstring1 (type: string), cstring2 (type: string), ctimestamp1 (type: timestamp), ctimestamp2 (type: timestamp), cboolean1 (type: boolean), cboolean2 (type: boolean), UDFToInteger(csmallint) (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12
- Statistics: Num rows: 4615 Data size: 1082044 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 6182 Data size: 1449424 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col12 (type: int)
null sort order: z
sort order: +
Map-reduce partition columns: _col12 (type: int)
- Statistics: Num rows: 4615 Data size: 1082044 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 6182 Data size: 1449424 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col0 (type: tinyint), _col1 (type: smallint), _col2 (type: int), _col3 (type: bigint), _col4 (type: float), _col5 (type: double), _col6 (type: string), _col7 (type: string), _col8 (type: timestamp), _col9 (type: timestamp), _col10 (type: boolean), _col11 (type: boolean)
Execution mode: vectorized, llap
LLAP IO: all inputs
@@ -243,7 +243,7 @@ STAGE PLANS:
Tez
#### A masked pattern was here ####
Edges:
- Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 5 (SIMPLE_EDGE)
+ Reducer 2 <- Map 1 (CUSTOM_SIMPLE_EDGE), Map 5 (CUSTOM_SIMPLE_EDGE)
Reducer 3 <- Map 5 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
Reducer 4 <- Reducer 3 (SIMPLE_EDGE)
#### A masked pattern was here ####
@@ -252,21 +252,21 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: a
- filterExpr: ((csmallint < 100S) and UDFToInteger(csmallint) is not null) (type: boolean)
+ filterExpr: (csmallint < 100S) (type: boolean)
Statistics: Num rows: 12288 Data size: 2844090 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((csmallint < 100S) and UDFToInteger(csmallint) is not null) (type: boolean)
- Statistics: Num rows: 4615 Data size: 1068260 Basic stats: COMPLETE Column stats: COMPLETE
+ predicate: (csmallint < 100S) (type: boolean)
+ Statistics: Num rows: 6182 Data size: 1430960 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: ctinyint (type: tinyint), csmallint (type: smallint), cint (type: int), cbigint (type: bigint), cfloat (type: float), cdouble (type: double), cstring1 (type: string), cstring2 (type: string), ctimestamp1 (type: timestamp), ctimestamp2 (type: timestamp), cboolean1 (type: boolean), cboolean2 (type: boolean), UDFToInteger(csmallint) (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12
- Statistics: Num rows: 4615 Data size: 1082044 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 6182 Data size: 1449424 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col12 (type: int)
null sort order: z
sort order: +
Map-reduce partition columns: _col12 (type: int)
- Statistics: Num rows: 4615 Data size: 1082044 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 6182 Data size: 1449424 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col0 (type: tinyint), _col1 (type: smallint), _col2 (type: int), _col3 (type: bigint), _col4 (type: float), _col5 (type: double), _col6 (type: string), _col7 (type: string), _col8 (type: timestamp), _col9 (type: timestamp), _col10 (type: boolean), _col11 (type: boolean)
Execution mode: vectorized, llap
LLAP IO: all inputs
@@ -298,16 +298,19 @@ STAGE PLANS:
Execution mode: vectorized, llap
LLAP IO: all inputs
Reducer 2
- Execution mode: llap
+ Execution mode: vectorized, llap
Reduce Operator Tree:
- Merge Join Operator
+ Map Join Operator
condition map:
Inner Join 0 to 1
keys:
- 0 _col12 (type: int)
- 1 _col0 (type: int)
+ 0 KEY.reducesinkkey0 (type: int)
+ 1 KEY.reducesinkkey0 (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12
+ input vertices:
+ 1 Map 5
Statistics: Num rows: 1084 Data size: 314 Basic stats: COMPLETE Column stats: COMPLETE
+ DynamicPartitionHashJoin: true
Reduce Output Operator
key expressions: _col12 (type: int)
null sort order: z
@@ -449,7 +452,7 @@ STAGE PLANS:
Tez
#### A masked pattern was here ####
Edges:
- Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 5 (SIMPLE_EDGE)
+ Reducer 2 <- Map 1 (CUSTOM_SIMPLE_EDGE), Map 5 (CUSTOM_SIMPLE_EDGE)
Reducer 3 <- Map 5 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
Reducer 4 <- Reducer 3 (SIMPLE_EDGE)
#### A masked pattern was here ####
@@ -458,21 +461,21 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: a
- filterExpr: ((csmallint < 100S) and UDFToInteger(csmallint) is not null) (type: boolean)
+ filterExpr: (csmallint < 100S) (type: boolean)
Statistics: Num rows: 12288 Data size: 2844090 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((csmallint < 100S) and UDFToInteger(csmallint) is not null) (type: boolean)
- Statistics: Num rows: 4615 Data size: 1068260 Basic stats: COMPLETE Column stats: COMPLETE
+ predicate: (csmallint < 100S) (type: boolean)
+ Statistics: Num rows: 6182 Data size: 1430960 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: ctinyint (type: tinyint), csmallint (type: smallint), cint (type: int), cbigint (type: bigint), cfloat (type: float), cdouble (type: double), cstring1 (type: string), cstring2 (type: string), ctimestamp1 (type: timestamp), ctimestamp2 (type: timestamp), cboolean1 (type: boolean), cboolean2 (type: boolean), UDFToInteger(csmallint) (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12
- Statistics: Num rows: 4615 Data size: 1082044 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 6182 Data size: 1449424 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col12 (type: int)
null sort order: z
sort order: +
Map-reduce partition columns: _col12 (type: int)
- Statistics: Num rows: 4615 Data size: 1082044 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 6182 Data size: 1449424 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col0 (type: tinyint), _col1 (type: smallint), _col2 (type: int), _col3 (type: bigint), _col4 (type: float), _col5 (type: double), _col6 (type: string), _col7 (type: string), _col8 (type: timestamp), _col9 (type: timestamp), _col10 (type: boolean), _col11 (type: boolean)
Execution mode: vectorized, llap
LLAP IO: all inputs
@@ -504,16 +507,19 @@ STAGE PLANS:
Execution mode: vectorized, llap
LLAP IO: all inputs
Reducer 2
- Execution mode: llap
+ Execution mode: vectorized, llap
Reduce Operator Tree:
- Merge Join Operator
+ Map Join Operator
condition map:
Inner Join 0 to 1
keys:
- 0 _col12 (type: int)
- 1 _col0 (type: int)
+ 0 KEY.reducesinkkey0 (type: int)
+ 1 KEY.reducesinkkey0 (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12
+ input vertices:
+ 1 Map 5
Statistics: Num rows: 1084 Data size: 314 Basic stats: COMPLETE Column stats: COMPLETE
+ DynamicPartitionHashJoin: true
Reduce Output Operator
key expressions: _col12 (type: int)
null sort order: z
diff --git a/ql/src/test/results/clientpositive/llap/tez_union_group_by.q.out b/ql/src/test/results/clientpositive/llap/tez_union_group_by.q.out
index 705bdbb07312..a7010825c135 100644
--- a/ql/src/test/results/clientpositive/llap/tez_union_group_by.q.out
+++ b/ql/src/test/results/clientpositive/llap/tez_union_group_by.q.out
@@ -155,24 +155,24 @@ HiveProject(o.u=[$0], n.u=[$1])
HiveAggregate(group=[{0}])
HiveJoin(condition=[AND(=($1, $3), IS NOT DISTINCT FROM($2, $4))], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(u=[$0], t=[$1], st=[$2])
- HiveFilter(condition=[AND(>=($3, _UTF-16LE'2014-03-04'), <($3, _UTF-16LE'2014-09-03'), <>($0, 0), IS NOT NULL($1))])
+ HiveFilter(condition=[AND(>=($3, '2014-03-04'), <($3, '2014-09-03'), <>($0, 0), IS NOT NULL($1))])
HiveTableScan(table=[[default, x_n3]], table:alias=[x_n3])
HiveProject(t=[$0], st=[$1])
HiveFilter(condition=[IS NOT NULL($0)])
HiveTableScan(table=[[default, v_n15]], table:alias=[v_n15])
HiveProject($f0=[$0])
- HiveFilter(condition=[<=($1, _UTF-16LE'2014-09-02')])
+ HiveFilter(condition=[<=($1, '2014-09-02')])
HiveAggregate(group=[{0}], agg#0=[min($1)])
HiveProject(u=[$0], date=[$1])
HiveUnion(all=[true])
HiveProject(u=[$0], date=[$3])
- HiveFilter(condition=[AND(<($3, _UTF-16LE'2014-09-02'), <>($0, 0))])
+ HiveFilter(condition=[AND(<($3, '2014-09-02'), <>($0, 0))])
HiveTableScan(table=[[default, x_n3]], table:alias=[x_n3])
HiveProject(u=[$0], date=[$1])
- HiveFilter(condition=[AND(<($1, _UTF-16LE'2014-09-02'), <>($0, 0))])
+ HiveFilter(condition=[AND(<($1, '2014-09-02'), <>($0, 0))])
HiveTableScan(table=[[default, y_n1]], table:alias=[y_n1])
HiveProject(u=[$0], date=[$1])
- HiveFilter(condition=[AND(<($1, _UTF-16LE'2014-09-02'), <>($0, 0))])
+ HiveFilter(condition=[AND(<($1, '2014-09-02'), <>($0, 0))])
HiveTableScan(table=[[default, z_n0]], table:alias=[z_n0])
PREHOOK: query: EXPLAIN
diff --git a/ql/src/test/results/clientpositive/llap/tez_vector_dynpart_hashjoin_2.q.out b/ql/src/test/results/clientpositive/llap/tez_vector_dynpart_hashjoin_2.q.out
index 4dbe7350050c..1df2ddaadf92 100644
--- a/ql/src/test/results/clientpositive/llap/tez_vector_dynpart_hashjoin_2.q.out
+++ b/ql/src/test/results/clientpositive/llap/tez_vector_dynpart_hashjoin_2.q.out
@@ -46,21 +46,21 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: a
- filterExpr: ((csmallint < 100S) and UDFToInteger(csmallint) is not null) (type: boolean)
+ filterExpr: (csmallint < 100S) (type: boolean)
Statistics: Num rows: 12288 Data size: 2844090 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((csmallint < 100S) and UDFToInteger(csmallint) is not null) (type: boolean)
- Statistics: Num rows: 4615 Data size: 1068260 Basic stats: COMPLETE Column stats: COMPLETE
+ predicate: (csmallint < 100S) (type: boolean)
+ Statistics: Num rows: 6182 Data size: 1430960 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: ctinyint (type: tinyint), csmallint (type: smallint), cint (type: int), cbigint (type: bigint), cfloat (type: float), cdouble (type: double), cstring1 (type: string), cstring2 (type: string), ctimestamp1 (type: timestamp), ctimestamp2 (type: timestamp), cboolean1 (type: boolean), cboolean2 (type: boolean), UDFToInteger(csmallint) (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12
- Statistics: Num rows: 4615 Data size: 1082044 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 6182 Data size: 1449424 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col12 (type: int)
null sort order: z
sort order: +
Map-reduce partition columns: _col12 (type: int)
- Statistics: Num rows: 4615 Data size: 1082044 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 6182 Data size: 1449424 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col0 (type: tinyint), _col1 (type: smallint), _col2 (type: int), _col3 (type: bigint), _col4 (type: float), _col5 (type: double), _col6 (type: string), _col7 (type: string), _col8 (type: timestamp), _col9 (type: timestamp), _col10 (type: boolean), _col11 (type: boolean)
Execution mode: vectorized, llap
LLAP IO: all inputs
@@ -243,7 +243,7 @@ STAGE PLANS:
Tez
#### A masked pattern was here ####
Edges:
- Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 5 (SIMPLE_EDGE)
+ Reducer 2 <- Map 1 (CUSTOM_SIMPLE_EDGE), Map 5 (CUSTOM_SIMPLE_EDGE)
Reducer 3 <- Map 5 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
Reducer 4 <- Reducer 3 (SIMPLE_EDGE)
#### A masked pattern was here ####
@@ -252,21 +252,21 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: a
- filterExpr: ((csmallint < 100S) and UDFToInteger(csmallint) is not null) (type: boolean)
+ filterExpr: (csmallint < 100S) (type: boolean)
Statistics: Num rows: 12288 Data size: 2844090 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((csmallint < 100S) and UDFToInteger(csmallint) is not null) (type: boolean)
- Statistics: Num rows: 4615 Data size: 1068260 Basic stats: COMPLETE Column stats: COMPLETE
+ predicate: (csmallint < 100S) (type: boolean)
+ Statistics: Num rows: 6182 Data size: 1430960 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: ctinyint (type: tinyint), csmallint (type: smallint), cint (type: int), cbigint (type: bigint), cfloat (type: float), cdouble (type: double), cstring1 (type: string), cstring2 (type: string), ctimestamp1 (type: timestamp), ctimestamp2 (type: timestamp), cboolean1 (type: boolean), cboolean2 (type: boolean), UDFToInteger(csmallint) (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12
- Statistics: Num rows: 4615 Data size: 1082044 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 6182 Data size: 1449424 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col12 (type: int)
null sort order: z
sort order: +
Map-reduce partition columns: _col12 (type: int)
- Statistics: Num rows: 4615 Data size: 1082044 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 6182 Data size: 1449424 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col0 (type: tinyint), _col1 (type: smallint), _col2 (type: int), _col3 (type: bigint), _col4 (type: float), _col5 (type: double), _col6 (type: string), _col7 (type: string), _col8 (type: timestamp), _col9 (type: timestamp), _col10 (type: boolean), _col11 (type: boolean)
Execution mode: vectorized, llap
LLAP IO: all inputs
@@ -298,16 +298,19 @@ STAGE PLANS:
Execution mode: vectorized, llap
LLAP IO: all inputs
Reducer 2
- Execution mode: llap
+ Execution mode: vectorized, llap
Reduce Operator Tree:
- Merge Join Operator
+ Map Join Operator
condition map:
Inner Join 0 to 1
keys:
- 0 _col12 (type: int)
- 1 _col0 (type: int)
+ 0 KEY.reducesinkkey0 (type: int)
+ 1 KEY.reducesinkkey0 (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12
+ input vertices:
+ 1 Map 5
Statistics: Num rows: 1084 Data size: 314 Basic stats: COMPLETE Column stats: COMPLETE
+ DynamicPartitionHashJoin: true
Reduce Output Operator
key expressions: _col12 (type: int)
null sort order: z
@@ -449,7 +452,7 @@ STAGE PLANS:
Tez
#### A masked pattern was here ####
Edges:
- Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 5 (SIMPLE_EDGE)
+ Reducer 2 <- Map 1 (CUSTOM_SIMPLE_EDGE), Map 5 (CUSTOM_SIMPLE_EDGE)
Reducer 3 <- Map 5 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
Reducer 4 <- Reducer 3 (SIMPLE_EDGE)
#### A masked pattern was here ####
@@ -458,21 +461,21 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: a
- filterExpr: ((csmallint < 100S) and UDFToInteger(csmallint) is not null) (type: boolean)
+ filterExpr: (csmallint < 100S) (type: boolean)
Statistics: Num rows: 12288 Data size: 2844090 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((csmallint < 100S) and UDFToInteger(csmallint) is not null) (type: boolean)
- Statistics: Num rows: 4615 Data size: 1068260 Basic stats: COMPLETE Column stats: COMPLETE
+ predicate: (csmallint < 100S) (type: boolean)
+ Statistics: Num rows: 6182 Data size: 1430960 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: ctinyint (type: tinyint), csmallint (type: smallint), cint (type: int), cbigint (type: bigint), cfloat (type: float), cdouble (type: double), cstring1 (type: string), cstring2 (type: string), ctimestamp1 (type: timestamp), ctimestamp2 (type: timestamp), cboolean1 (type: boolean), cboolean2 (type: boolean), UDFToInteger(csmallint) (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12
- Statistics: Num rows: 4615 Data size: 1082044 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 6182 Data size: 1449424 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col12 (type: int)
null sort order: z
sort order: +
Map-reduce partition columns: _col12 (type: int)
- Statistics: Num rows: 4615 Data size: 1082044 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 6182 Data size: 1449424 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col0 (type: tinyint), _col1 (type: smallint), _col2 (type: int), _col3 (type: bigint), _col4 (type: float), _col5 (type: double), _col6 (type: string), _col7 (type: string), _col8 (type: timestamp), _col9 (type: timestamp), _col10 (type: boolean), _col11 (type: boolean)
Execution mode: vectorized, llap
LLAP IO: all inputs
@@ -504,16 +507,19 @@ STAGE PLANS:
Execution mode: vectorized, llap
LLAP IO: all inputs
Reducer 2
- Execution mode: llap
+ Execution mode: vectorized, llap
Reduce Operator Tree:
- Merge Join Operator
+ Map Join Operator
condition map:
Inner Join 0 to 1
keys:
- 0 _col12 (type: int)
- 1 _col0 (type: int)
+ 0 KEY.reducesinkkey0 (type: int)
+ 1 KEY.reducesinkkey0 (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12
+ input vertices:
+ 1 Map 5
Statistics: Num rows: 1084 Data size: 314 Basic stats: COMPLETE Column stats: COMPLETE
+ DynamicPartitionHashJoin: true
Reduce Output Operator
key expressions: _col12 (type: int)
null sort order: z
diff --git a/ql/src/test/results/clientpositive/llap/timestamp.q.out b/ql/src/test/results/clientpositive/llap/timestamp.q.out
index fd72ecb4386a..788b95b47271 100644
--- a/ql/src/test/results/clientpositive/llap/timestamp.q.out
+++ b/ql/src/test/results/clientpositive/llap/timestamp.q.out
@@ -103,12 +103,13 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: default@src
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT CAST(TIMESTAMP '2011-01-01 01:01:01.000000000' AS TIMESTAMP) AS `c`
+FROM (SELECT TRUE AS `$f0`
FROM (SELECT CAST(TIMESTAMP '2011-01-01 01:01:01.000000000' AS TIMESTAMP) AS `c`
FROM `default`.`src`
UNION ALL
SELECT CAST(TIMESTAMP '2011-01-01 01:01:01.000000000' AS TIMESTAMP) AS `c`
FROM `default`.`src`) AS `t1`
-GROUP BY TRUE
+GROUP BY TRUE) AS `t3`
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
diff --git a/ql/src/test/results/clientpositive/llap/tpch18.q.out b/ql/src/test/results/clientpositive/llap/tpch18.q.out
index de0c9991b3db..9bd634f15a18 100644
--- a/ql/src/test/results/clientpositive/llap/tpch18.q.out
+++ b/ql/src/test/results/clientpositive/llap/tpch18.q.out
@@ -121,7 +121,7 @@ HiveSortLimit(sort0=[$4], sort1=[$3], dir0=[DESC], dir1=[ASC], fetch=[100])
HiveProject(o_orderkey=[$0], o_custkey=[$1], o_totalprice=[$3], o_orderdate=[$4])
HiveTableScan(table=[[tpch_0_001, orders]], table:alias=[orders])
HiveProject($f0=[$0])
- HiveFilter(condition=[>($1, 3E2)])
+ HiveFilter(condition=[>($1, 300.0E0)])
HiveAggregate(group=[{0}], agg#0=[sum($4)])
HiveFilter(condition=[IS NOT NULL($0)])
HiveTableScan(table=[[tpch_0_001, lineitem]], table:alias=[lineitem])
@@ -273,7 +273,7 @@ HiveSortLimit(sort0=[$4], sort1=[$3], dir0=[DESC], dir1=[ASC], fetch=[100])
HiveProject(c_custkey=[$0], c_name=[$1])
HiveTableScan(table=[[tpch_0_001, customer]], table:alias=[customer])
HiveProject($f0=[$0])
- HiveFilter(condition=[>($1, 3E2)])
+ HiveFilter(condition=[>($1, 300.0E0)])
HiveAggregate(group=[{0}], agg#0=[sum($4)])
HiveTableScan(table=[[tpch_0_001, lineitem]], table:alias=[lineitem])
@@ -371,7 +371,7 @@ HiveSortLimit(sort0=[$4], sort1=[$3], dir0=[DESC], dir1=[ASC], fetch=[100])
HiveProject(o_orderkey=[$0], o_custkey=[$1], o_totalprice=[$3], o_orderdate=[$4])
HiveTableScan(table=[[tpch_0_001, orders]], table:alias=[orders])
HiveProject($f0=[$0])
- HiveFilter(condition=[>($1, 3E2)])
+ HiveFilter(condition=[>($1, 300.0E0)])
HiveAggregate(group=[{0}], agg#0=[sum($4)])
HiveTableScan(table=[[tpch_0_001, lineitem]], table:alias=[lineitem])
HiveProject(c_custkey=[$0], c_name=[$1])
diff --git a/ql/src/test/results/clientpositive/llap/udf_between.q.out b/ql/src/test/results/clientpositive/llap/udf_between.q.out
index 3c01bba352e5..c1e3056adafe 100644
--- a/ql/src/test/results/clientpositive/llap/udf_between.q.out
+++ b/ql/src/test/results/clientpositive/llap/udf_between.q.out
@@ -84,9 +84,9 @@ STAGE PLANS:
Processor Tree:
TableScan
alias: src
- filterExpr: (UDFToDouble(key) + 100.0D) NOT BETWEEN 100.0D AND 200.0D (type: boolean)
+ filterExpr: (((UDFToDouble(key) + 100.0D) < 100.0D) or ((UDFToDouble(key) + 100.0D) > 200.0D)) (type: boolean)
Filter Operator
- predicate: (UDFToDouble(key) + 100.0D) NOT BETWEEN 100.0D AND 200.0D (type: boolean)
+ predicate: (((UDFToDouble(key) + 100.0D) < 100.0D) or ((UDFToDouble(key) + 100.0D) > 200.0D)) (type: boolean)
Limit
Number of rows: 20
Select Operator
diff --git a/ql/src/test/results/clientpositive/llap/udtf_explode.q.out b/ql/src/test/results/clientpositive/llap/udtf_explode.q.out
index 94d3cd930a48..f07cf0172144 100644
--- a/ql/src/test/results/clientpositive/llap/udtf_explode.q.out
+++ b/ql/src/test/results/clientpositive/llap/udtf_explode.q.out
@@ -19,7 +19,7 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: default@src
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT `col` AS `mycol`
-FROM TABLE(EXPLODE(ARRAY[1, 2, 3]))
+FROM TABLE(EXPLODE(ARRAY (1, 2, 3)))
LIMIT 3
STAGE DEPENDENCIES:
Stage-0 is a root stage
@@ -52,11 +52,11 @@ POSTHOOK: query: EXPLAIN EXTENDED SELECT a.myCol, count(1) FROM (SELECT explode(
POSTHOOK: type: QUERY
POSTHOOK: Input: default@src
#### A masked pattern was here ####
-OPTIMIZED SQL: SELECT `col` AS `a.mycol`, `$f1` AS `_c1`
-FROM (SELECT `col`, COUNT(*) AS `$f1`
-FROM TABLE(EXPLODE(ARRAY[1, 2, 3]))
+OPTIMIZED SQL: SELECT `col` AS `a.mycol`, COUNT(*) AS `_c1`
+FROM (SELECT `col`
+FROM TABLE(EXPLODE(ARRAY (1, 2, 3)))
+LIMIT 3) AS `t2`
GROUP BY `col`
-LIMIT 3) AS `t3`
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -324,11 +324,11 @@ POSTHOOK: query: EXPLAIN EXTENDED SELECT a.myKey, a.myVal, count(1) FROM (SELECT
POSTHOOK: type: QUERY
POSTHOOK: Input: default@src
#### A masked pattern was here ####
-OPTIMIZED SQL: SELECT `key` AS `a.mykey`, `value` AS `a.myval`, `$f2` AS `_c2`
-FROM (SELECT `key`, `value`, COUNT(*) AS `$f2`
-FROM TABLE(EXPLODE(MAP[1, 'one', 2, 'two', 3, 'three']))
+OPTIMIZED SQL: SELECT `key` AS `a.mykey`, `value` AS `a.myval`, COUNT(*) AS `_c2`
+FROM (SELECT `key`, `value`
+FROM TABLE(EXPLODE(MAP (1, 'one', 2, 'two', 3, 'three')))
+LIMIT 3) AS `t2`
GROUP BY `key`, `value`
-LIMIT 3) AS `t3`
ORDER BY `key`, `value`
STAGE DEPENDENCIES:
Stage-1 is a root stage
diff --git a/ql/src/test/results/clientpositive/llap/udtf_with_unionall.q.out b/ql/src/test/results/clientpositive/llap/udtf_with_unionall.q.out
index 8c85be3234f1..7699877a3c47 100644
--- a/ql/src/test/results/clientpositive/llap/udtf_with_unionall.q.out
+++ b/ql/src/test/results/clientpositive/llap/udtf_with_unionall.q.out
@@ -32,10 +32,10 @@ CBO PLAN:
HiveProject(col0=[$0], col1=[$1], col2=[$2], col3=[$3])
HiveUnion(all=[true])
HiveProject(col0=[$0], col1=[$1], col2=[$2], col3=[$3])
- HiveTableFunctionScan(invocation=[stack(3, _UTF-16LE'A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 10, 2015-01-01:DATE, _UTF-16LE'z':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'B':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 20, 2016-01-01:DATE, _UTF-16LE'y':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'C':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 30, 2017-08-09:DATE, _UTF-16LE'x':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")], rowType=[RecordType(VARCHAR(2147483647) col0, INTEGER col1, DATE col2, VARCHAR(2147483647) col3)])
+ HiveTableFunctionScan(invocation=[stack(3, 'A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 10, 2015-01-01:DATE, 'z':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'B':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 20, 2016-01-01:DATE, 'y':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'C':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 30, 2017-08-09:DATE, 'x':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")], rowType=[RecordType(VARCHAR(2147483647) col0, INTEGER col1, DATE col2, VARCHAR(2147483647) col3)])
HiveTableScan(table=[[_dummy_database, _dummy_table]], table:alias=[_dummy_table])
HiveProject(col0=[$0], col1=[$1], col2=[$2], col3=[$3])
- HiveTableFunctionScan(invocation=[stack(3, _UTF-16LE'A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 10, 2015-01-01:DATE, _UTF-16LE'n':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'B':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 20, 2016-01-01:DATE, _UTF-16LE'm':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'C':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 30, 2017-08-09:DATE, _UTF-16LE'l':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")], rowType=[RecordType(VARCHAR(2147483647) col0, INTEGER col1, DATE col2, VARCHAR(2147483647) col3)])
+ HiveTableFunctionScan(invocation=[stack(3, 'A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 10, 2015-01-01:DATE, 'n':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'B':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 20, 2016-01-01:DATE, 'm':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'C':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 30, 2017-08-09:DATE, 'l':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")], rowType=[RecordType(VARCHAR(2147483647) col0, INTEGER col1, DATE col2, VARCHAR(2147483647) col3)])
HiveTableScan(table=[[_dummy_database, _dummy_table]], table:alias=[_dummy_table])
PREHOOK: query: SELECT * FROM (VALUES(1, '1'), (2, 'orange'), (5, 'yellow')) AS Colors1
@@ -83,10 +83,10 @@ CBO PLAN:
HiveProject(col1=[$0], col2=[$1])
HiveUnion(all=[true])
HiveProject(col0=[$0], col1=[$1])
- HiveTableFunctionScan(invocation=[stack(2, 10, _UTF-16LE'X':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 20, _UTF-16LE'Y':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")], rowType=[RecordType(INTEGER col0, VARCHAR(2147483647) col1)])
+ HiveTableFunctionScan(invocation=[stack(2, 10, 'X':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 20, 'Y':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")], rowType=[RecordType(INTEGER col0, VARCHAR(2147483647) col1)])
HiveTableScan(table=[[_dummy_database, _dummy_table]], table:alias=[_dummy_table])
HiveProject(col1=[$0], col2=[$1])
- HiveTableFunctionScan(invocation=[inline(ARRAY(ROW(1, _UTF-16LE'1':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), ROW(2, _UTF-16LE'orange':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), ROW(5, _UTF-16LE'yellow':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), ROW(10, _UTF-16LE'green':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), ROW(11, _UTF-16LE'blue':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), ROW(12, _UTF-16LE'indigo':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), ROW(20, _UTF-16LE'violet':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")))], rowType=[RecordType(INTEGER col1, VARCHAR(2147483647) col2)])
+ HiveTableFunctionScan(invocation=[inline(ARRAY(ROW(1, '1':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), ROW(2, 'orange':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), ROW(5, 'yellow':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), ROW(10, 'green':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), ROW(11, 'blue':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), ROW(12, 'indigo':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), ROW(20, 'violet':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")))], rowType=[RecordType(INTEGER col1, VARCHAR(2147483647) col2)])
HiveTableScan(table=[[_dummy_database, _dummy_table]], table:alias=[_dummy_table])
PREHOOK: query: SELECT INLINE(array(struct('A',10,date '2015-01-01'),struct('B',20,date '2015-02-02')))
@@ -119,7 +119,7 @@ POSTHOOK: Input: _dummy_database@_dummy_table
#### A masked pattern was here ####
CBO PLAN:
HiveProject(col1=[$0], col2=[$1], col3=[$2])
- HiveTableFunctionScan(invocation=[inline(ARRAY(ROW(_UTF-16LE'A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 10, 2015-01-01:DATE), ROW(_UTF-16LE'B':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 20, 2015-02-02:DATE), ROW(_UTF-16LE'C':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 30, 2016-01-01:DATE), ROW(_UTF-16LE'D':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 40, 2016-02-02:DATE)))], rowType=[RecordType(VARCHAR(2147483647) col1, INTEGER col2, DATE col3)])
+ HiveTableFunctionScan(invocation=[inline(ARRAY(ROW('A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 10, 2015-01-01:DATE), ROW('B':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 20, 2015-02-02:DATE), ROW('C':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 30, 2016-01-01:DATE), ROW('D':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 40, 2016-02-02:DATE)))], rowType=[RecordType(VARCHAR(2147483647) col1, INTEGER col2, DATE col3)])
HiveTableScan(table=[[_dummy_database, _dummy_table]], table:alias=[_dummy_table])
PREHOOK: query: SELECT INLINE(array(struct('A',10,date '2015-01-01'),struct('B',20,date '2015-02-02')))
@@ -164,9 +164,9 @@ CBO PLAN:
HiveProject(col1=[$0], col2=[$1], col3=[$2])
HiveUnion(all=[true])
HiveProject(col0=[$0], col1=[$1], col2=[$2])
- HiveTableFunctionScan(invocation=[stack(2, _UTF-16LE'X':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 50, 2017-01-01:DATE, _UTF-16LE'Y':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 60, 2017-01-01:DATE)], rowType=[RecordType(VARCHAR(2147483647) col0, INTEGER col1, DATE col2)])
+ HiveTableFunctionScan(invocation=[stack(2, 'X':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 50, 2017-01-01:DATE, 'Y':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 60, 2017-01-01:DATE)], rowType=[RecordType(VARCHAR(2147483647) col0, INTEGER col1, DATE col2)])
HiveTableScan(table=[[_dummy_database, _dummy_table]], table:alias=[_dummy_table])
HiveProject(col1=[$0], col2=[$1], col3=[$2])
- HiveTableFunctionScan(invocation=[inline(ARRAY(ROW(_UTF-16LE'A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 10, 2015-01-01:DATE), ROW(_UTF-16LE'B':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 20, 2015-02-02:DATE), ROW(_UTF-16LE'C':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 30, 2016-01-01:DATE), ROW(_UTF-16LE'D':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 40, 2016-02-02:DATE)))], rowType=[RecordType(VARCHAR(2147483647) col1, INTEGER col2, DATE col3)])
+ HiveTableFunctionScan(invocation=[inline(ARRAY(ROW('A':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 10, 2015-01-01:DATE), ROW('B':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 20, 2015-02-02:DATE), ROW('C':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 30, 2016-01-01:DATE), ROW('D':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 40, 2016-02-02:DATE)))], rowType=[RecordType(VARCHAR(2147483647) col1, INTEGER col2, DATE col3)])
HiveTableScan(table=[[_dummy_database, _dummy_table]], table:alias=[_dummy_table])
diff --git a/ql/src/test/results/clientpositive/llap/union22.q.out b/ql/src/test/results/clientpositive/llap/union22.q.out
index 7fcdac19d1d2..82d8d6a1459b 100644
--- a/ql/src/test/results/clientpositive/llap/union22.q.out
+++ b/ql/src/test/results/clientpositive/llap/union22.q.out
@@ -83,15 +83,15 @@ POSTHOOK: Output: default@dst_union22@ds=2
OPTIMIZED SQL: SELECT `k1` AS `subq.k1`, `k2` AS `subq.k2`, `k3` AS `subq.k3`, `k4` AS `subq.k4`
FROM (SELECT `k1`, `k2`, `k3`, `k4`
FROM `default`.`dst_union22_delta`
-WHERE `k0` <= 50 AND `ds` = '1'
+WHERE `k0` <= 5.00E1 AND `ds` = '1'
UNION ALL
SELECT `t2`.`k1`, `t2`.`k2`, `t4`.`k3`, `t4`.`k4`
FROM (SELECT `k1`, `k2`, `ds` = '1' AS `EXPR$0`
FROM `default`.`dst_union22`
-WHERE `k1` > 20) AS `t2`
+WHERE `k1` > 2.00E1) AS `t2`
LEFT JOIN (SELECT `k1`, `k3`, `k4`
FROM `default`.`dst_union22_delta`
-WHERE `k0` > 50 AND `k1` > 20 AND `ds` = '1') AS `t4` ON `t2`.`k1` = `t4`.`k1` AND `t2`.`EXPR$0`) AS `t6`
+WHERE `k0` > 5.00E1 AND `k1` > 2.00E1 AND `ds` = '1') AS `t4` ON `t2`.`k1` = `t4`.`k1` AND `t2`.`EXPR$0`) AS `t6`
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-2 depends on stages: Stage-1
diff --git a/ql/src/test/results/clientpositive/llap/union24.q.out b/ql/src/test/results/clientpositive/llap/union24.q.out
index be3dc7e06826..1f7001e12339 100644
--- a/ql/src/test/results/clientpositive/llap/union24.q.out
+++ b/ql/src/test/results/clientpositive/llap/union24.q.out
@@ -81,19 +81,19 @@ POSTHOOK: Input: default@src5_n3
OPTIMIZED SQL: SELECT `key` AS `s.key`, `count` AS `s.count`
FROM (SELECT `key`, `count`
FROM `default`.`src2_n6`
-WHERE `key` < 10
+WHERE `key` < 1.00E1
UNION ALL
SELECT `key`, `count`
FROM `default`.`src3_n2`
-WHERE `key` < 10
+WHERE `key` < 1.00E1
UNION ALL
SELECT `key`, `count`
FROM `default`.`src4_n0`
-WHERE `key` < 10
+WHERE `key` < 1.00E1
UNION ALL
SELECT `key`, COUNT(*) AS `$f1`
FROM `default`.`src5_n3`
-WHERE `key` < 10
+WHERE `key` < 1.00E1
GROUP BY `key`) AS `t8`
STAGE DEPENDENCIES:
Stage-1 is a root stage
@@ -540,19 +540,19 @@ POSTHOOK: Input: default@src5_n3
OPTIMIZED SQL: SELECT `key` AS `s.key`, `count` AS `s.count`
FROM (SELECT `key`, `count`
FROM `default`.`src2_n6`
-WHERE `key` < 10
+WHERE `key` < 1.00E1
UNION ALL
SELECT `key`, `count`
FROM `default`.`src3_n2`
-WHERE `key` < 10
+WHERE `key` < 1.00E1
UNION ALL
SELECT `t4`.`key`, `t6`.`count`
FROM (SELECT `key`
FROM `default`.`src4_n0`
-WHERE `key` < 10) AS `t4`
+WHERE `key` < 1.00E1) AS `t4`
INNER JOIN (SELECT `key`, `count`
FROM `default`.`src5_n3`
-WHERE `key` < 10) AS `t6` ON `t4`.`key` = `t6`.`key`) AS `t8`
+WHERE `key` < 1.00E1) AS `t6` ON `t4`.`key` = `t6`.`key`) AS `t8`
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -977,19 +977,19 @@ POSTHOOK: Input: default@src5_n3
OPTIMIZED SQL: SELECT `key` AS `s.key`, `count` AS `s.count`
FROM (SELECT `key`, `count`
FROM `default`.`src2_n6`
-WHERE `key` < 10
+WHERE `key` < 1.00E1
UNION ALL
SELECT `key`, `count`
FROM `default`.`src3_n2`
-WHERE `key` < 10
+WHERE `key` < 1.00E1
UNION ALL
SELECT `t4`.`key`, COUNT(*) AS `$f1`
FROM (SELECT `key`
FROM `default`.`src4_n0`
-WHERE `key` < 10) AS `t4`
+WHERE `key` < 1.00E1) AS `t4`
INNER JOIN (SELECT `key`
FROM `default`.`src5_n3`
-WHERE `key` < 10) AS `t6` ON `t4`.`key` = `t6`.`key`
+WHERE `key` < 1.00E1) AS `t6` ON `t4`.`key` = `t6`.`key`
GROUP BY `t4`.`key`) AS `t9`
STAGE DEPENDENCIES:
Stage-1 is a root stage
diff --git a/ql/src/test/results/clientpositive/llap/union_all_filter_transpose.q.out b/ql/src/test/results/clientpositive/llap/union_all_filter_transpose.q.out
index f1160ae7e80e..a40582feeeea 100644
--- a/ql/src/test/results/clientpositive/llap/union_all_filter_transpose.q.out
+++ b/ql/src/test/results/clientpositive/llap/union_all_filter_transpose.q.out
@@ -92,9 +92,9 @@ CBO PLAN:
HiveProject(t2.a=[$0], t2.b=[$1])
HiveUnion(all=[true])
HiveProject(a=[$0], b=[$1])
- HiveFilter(condition=[=(CAST($0):DOUBLE, 1000)])
+ HiveFilter(condition=[=(CAST($0):DOUBLE, 1000.0E0)])
HiveTableScan(table=[[default, t]], table:alias=[t])
HiveProject(a=[$0], _o__c1=[null:VARCHAR(2147483647) CHARACTER SET "UTF-16LE"])
- HiveFilter(condition=[=(CAST($0):DOUBLE, 1000)])
+ HiveFilter(condition=[=(CAST($0):DOUBLE, 1000.0E0)])
HiveTableScan(table=[[default, t]], table:alias=[t])
diff --git a/ql/src/test/results/clientpositive/llap/union_all_filter_transpose_pruned_operands.q.out b/ql/src/test/results/clientpositive/llap/union_all_filter_transpose_pruned_operands.q.out
index 9d38e5955f27..fd17094a2f4e 100644
--- a/ql/src/test/results/clientpositive/llap/union_all_filter_transpose_pruned_operands.q.out
+++ b/ql/src/test/results/clientpositive/llap/union_all_filter_transpose_pruned_operands.q.out
@@ -134,7 +134,7 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: default@t
#### A masked pattern was here ####
CBO PLAN:
-HiveProject(t2.a=[CAST(_UTF-16LE'1000':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], t2.b=[$1])
- HiveFilter(condition=[=($0, _UTF-16LE'1000')])
+HiveProject(t2.a=[CAST('1000':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], t2.b=[$1])
+ HiveFilter(condition=[=($0, '1000')])
HiveTableScan(table=[[default, t]], table:alias=[t])
diff --git a/ql/src/test/results/clientpositive/llap/uniontype_cbo.q.out b/ql/src/test/results/clientpositive/llap/uniontype_cbo.q.out
index 5f69f735e829..db11f98fc3ed 100644
--- a/ql/src/test/results/clientpositive/llap/uniontype_cbo.q.out
+++ b/ql/src/test/results/clientpositive/llap/uniontype_cbo.q.out
@@ -29,7 +29,7 @@ POSTHOOK: Input: _dummy_database@_dummy_table
POSTHOOK: Output: default@utable
CBO PLAN:
HiveProject(col1=[$0])
- HiveTableFunctionScan(invocation=[inline(ARRAY(ROW(create_union(0, 10, _UTF-16LE'ten':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")), ROW(create_union(1, 10, _UTF-16LE'ten':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"))))], rowType=[RecordType(RecordType(INTEGER $tag_0, VARCHAR(2147483647) $tag_1) col1)])
+ HiveTableFunctionScan(invocation=[inline(ARRAY(ROW(create_union(0, 10, 'ten':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")), ROW(create_union(1, 10, 'ten':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"))))], rowType=[RecordType(RecordType(INTEGER $tag_0, VARCHAR(2147483647) $tag_1) col1)])
HiveTableScan(table=[[_dummy_database, _dummy_table]], table:alias=[_dummy_table])
PREHOOK: query: INSERT INTO utable values
diff --git a/ql/src/test/results/clientpositive/llap/values.q.out b/ql/src/test/results/clientpositive/llap/values.q.out
index e4626872c838..f7b446ba9b37 100644
--- a/ql/src/test/results/clientpositive/llap/values.q.out
+++ b/ql/src/test/results/clientpositive/llap/values.q.out
@@ -72,13 +72,13 @@ Explain
CBO PLAN:
HiveProject(col1=[$0], col2=[$1])
HiveUnion(all=[true])
- HiveProject(col1=[CAST(_UTF-16LE'a':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], col2=[$1])
- HiveFilter(condition=[=($0, _UTF-16LE'a')])
- HiveTableFunctionScan(invocation=[inline(ARRAY(ROW(_UTF-16LE'a':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'b':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), ROW(_UTF-16LE'b':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'c':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")))], rowType=[RecordType(VARCHAR(2147483647) col1, VARCHAR(2147483647) col2)])
+ HiveProject(col1=[CAST('a':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], col2=[$1])
+ HiveFilter(condition=[=($0, 'a')])
+ HiveTableFunctionScan(invocation=[inline(ARRAY(ROW('a':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'b':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), ROW('b':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'c':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")))], rowType=[RecordType(VARCHAR(2147483647) col1, VARCHAR(2147483647) col2)])
HiveTableScan(table=[[_dummy_database, _dummy_table]], table:alias=[_dummy_table])
- HiveProject(col1=[CAST(_UTF-16LE'b':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], col2=[$1])
- HiveFilter(condition=[=($0, _UTF-16LE'b')])
- HiveTableFunctionScan(invocation=[inline(ARRAY(ROW(_UTF-16LE'a':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'b':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), ROW(_UTF-16LE'b':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'c':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")))], rowType=[RecordType(VARCHAR(2147483647) col1, VARCHAR(2147483647) col2)])
+ HiveProject(col1=[CAST('b':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], col2=[$1])
+ HiveFilter(condition=[=($0, 'b')])
+ HiveTableFunctionScan(invocation=[inline(ARRAY(ROW('a':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'b':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), ROW('b':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'c':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")))], rowType=[RecordType(VARCHAR(2147483647) col1, VARCHAR(2147483647) col2)])
HiveTableScan(table=[[_dummy_database, _dummy_table]], table:alias=[_dummy_table])
PREHOOK: query: WITH t1 AS (VALUES('a', 'b'), ('b', 'c'))
@@ -121,13 +121,13 @@ CBO PLAN:
HiveProject(col1=[$0], col2=[$1], col3=[null:NULL], col4=[$2])
HiveUnion(all=[true])
HiveProject(col1=[$0], col2=[$1], col4=[$3])
- HiveTableFunctionScan(invocation=[inline(ARRAY(ROW(1, _UTF-16LE'a':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", null:NULL, 10:DECIMAL(2, 0))))], rowType=[RecordType(INTEGER col1, VARCHAR(2147483647) col2, NULL col3, DECIMAL(2, 0) col4)])
+ HiveTableFunctionScan(invocation=[inline(ARRAY(ROW(1, 'a':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", null:NULL, 10:DECIMAL(2, 0))))], rowType=[RecordType(INTEGER col1, VARCHAR(2147483647) col2, NULL col3, DECIMAL(2, 0) col4)])
HiveTableScan(table=[[_dummy_database, _dummy_table]], table:alias=[_dummy_table])
HiveProject(col1=[$0], col2=[$1], col4=[$3])
- HiveTableFunctionScan(invocation=[inline(ARRAY(ROW(2, _UTF-16LE'b':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", null:NULL, 20:DECIMAL(2, 0))))], rowType=[RecordType(INTEGER col1, VARCHAR(2147483647) col2, NULL col3, DECIMAL(2, 0) col4)])
+ HiveTableFunctionScan(invocation=[inline(ARRAY(ROW(2, 'b':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", null:NULL, 20:DECIMAL(2, 0))))], rowType=[RecordType(INTEGER col1, VARCHAR(2147483647) col2, NULL col3, DECIMAL(2, 0) col4)])
HiveTableScan(table=[[_dummy_database, _dummy_table]], table:alias=[_dummy_table])
HiveProject(col1=[$0], col2=[$1], col4=[$3])
- HiveTableFunctionScan(invocation=[inline(ARRAY(ROW(3, _UTF-16LE'c':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", null:NULL, 30:DECIMAL(2, 0))))], rowType=[RecordType(INTEGER col1, VARCHAR(2147483647) col2, NULL col3, DECIMAL(2, 0) col4)])
+ HiveTableFunctionScan(invocation=[inline(ARRAY(ROW(3, 'c':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", null:NULL, 30:DECIMAL(2, 0))))], rowType=[RecordType(INTEGER col1, VARCHAR(2147483647) col2, NULL col3, DECIMAL(2, 0) col4)])
HiveTableScan(table=[[_dummy_database, _dummy_table]], table:alias=[_dummy_table])
PREHOOK: query: VALUES(1, 'a', NULL, 10.0)
diff --git a/ql/src/test/results/clientpositive/llap/vector_char_mapjoin1.q.out b/ql/src/test/results/clientpositive/llap/vector_char_mapjoin1.q.out
index 7801c9f1570f..d4075bd3f664 100644
--- a/ql/src/test/results/clientpositive/llap/vector_char_mapjoin1.q.out
+++ b/ql/src/test/results/clientpositive/llap/vector_char_mapjoin1.q.out
@@ -525,7 +525,7 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: a
- filterExpr: CAST( c2 AS STRING) is not null (type: boolean)
+ filterExpr: c2 is not null (type: boolean)
Statistics: Num rows: 3 Data size: 273 Basic stats: COMPLETE Column stats: COMPLETE
TableScan Vectorization:
native: true
@@ -533,8 +533,8 @@ STAGE PLANS:
Filter Vectorization:
className: VectorFilterOperator
native: true
- predicateExpression: SelectColumnIsNotNull(col 1:string)(children: col 1:char(10))
- predicate: CAST( c2 AS STRING) is not null (type: boolean)
+ predicateExpression: SelectColumnIsNotNull(col 1:char(10))
+ predicate: c2 is not null (type: boolean)
Statistics: Num rows: 3 Data size: 273 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: c1 (type: int), c2 (type: char(10)), CAST( c2 AS STRING) (type: string)
diff --git a/ql/src/test/results/clientpositive/llap/vector_identity_reuse.q.out b/ql/src/test/results/clientpositive/llap/vector_identity_reuse.q.out
index 273a92b28dec..d59b68d1e27c 100644
--- a/ql/src/test/results/clientpositive/llap/vector_identity_reuse.q.out
+++ b/ql/src/test/results/clientpositive/llap/vector_identity_reuse.q.out
@@ -285,7 +285,7 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: a2
- filterExpr: UDFToLong(if(int_col_5 is not null, int_col_5, UDFToInteger(smallint_col_22))) is not null (type: boolean)
+ filterExpr: (smallint_col_22 is not null or int_col_5 is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
TableScan Vectorization:
native: true
@@ -294,8 +294,8 @@ STAGE PLANS:
Filter Vectorization:
className: VectorFilterOperator
native: true
- predicateExpression: SelectColumnIsNotNull(col 5:bigint)(children: IfExprColumnCondExpr(col 4:boolean, col 1:intcol 0:smallint)(children: IsNotNull(col 1:int) -> 4:boolean, col 1:int, col 0:smallint) -> 5:int)
- predicate: UDFToLong(if(int_col_5 is not null, int_col_5, UDFToInteger(smallint_col_22))) is not null (type: boolean)
+ predicateExpression: FilterExprOrExpr(children: SelectColumnIsNotNull(col 0:smallint), SelectColumnIsNotNull(col 1:int))
+ predicate: (smallint_col_22 is not null or int_col_5 is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: int_col_5 (type: int), smallint_col_22 (type: smallint), if(int_col_5 is not null, int_col_5, UDFToInteger(smallint_col_22)) (type: int)
@@ -303,8 +303,8 @@ STAGE PLANS:
Select Vectorization:
className: VectorSelectOperator
native: true
- projectedOutputColumnNums: [1, 0, 7]
- selectExpressions: IfExprColumnCondExpr(col 6:boolean, col 1:intcol 0:smallint)(children: IsNotNull(col 1:int) -> 6:boolean, col 1:int, col 0:smallint) -> 7:int
+ projectedOutputColumnNums: [1, 0, 5]
+ selectExpressions: IfExprColumnCondExpr(col 4:boolean, col 1:intcol 0:smallint)(children: IsNotNull(col 1:int) -> 4:boolean, col 1:int, col 0:smallint) -> 5:int
Statistics: Num rows: 1 Data size: 12 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: UDFToLong(_col2) (type: bigint)
@@ -313,10 +313,10 @@ STAGE PLANS:
Map-reduce partition columns: UDFToLong(_col2) (type: bigint)
Reduce Sink Vectorization:
className: VectorReduceSinkLongOperator
- keyColumns: 7:bigint
+ keyColumns: 5:bigint
native: true
nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
- valueColumns: 1:int, 0:smallint, 7:int
+ valueColumns: 1:int, 0:smallint, 5:int
Statistics: Num rows: 1 Data size: 12 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col0 (type: int), _col1 (type: smallint), _col2 (type: int)
Execution mode: vectorized, llap
@@ -335,7 +335,7 @@ STAGE PLANS:
includeColumns: [0, 1]
dataColumns: smallint_col_22:smallint, int_col_5:int
partitionColumnCount: 0
- scratchColumnTypeNames: [bigint, bigint, bigint, bigint]
+ scratchColumnTypeNames: [bigint, bigint]
Map 4
Map Operator Tree:
TableScan
diff --git a/ql/src/test/results/clientpositive/llap/vector_if_expr.q.out b/ql/src/test/results/clientpositive/llap/vector_if_expr.q.out
index 724ed8f4bfc8..227e81b3293f 100644
--- a/ql/src/test/results/clientpositive/llap/vector_if_expr.q.out
+++ b/ql/src/test/results/clientpositive/llap/vector_if_expr.q.out
@@ -28,7 +28,6 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: alltypesorc
- filterExpr: (cboolean1 and cboolean1 is not null) (type: boolean)
Statistics: Num rows: 12288 Data size: 36700 Basic stats: COMPLETE Column stats: COMPLETE
TableScan Vectorization:
native: true
@@ -36,9 +35,9 @@ STAGE PLANS:
Filter Vectorization:
className: VectorFilterOperator
native: true
- predicateExpression: FilterExprAndExpr(children: SelectColumnIsTrue(col 10:boolean), SelectColumnIsNotNull(col 10:boolean))
- predicate: (cboolean1 and cboolean1 is not null) (type: boolean)
- Statistics: Num rows: 4587 Data size: 13704 Basic stats: COMPLETE Column stats: COMPLETE
+ predicateExpression: SelectColumnIsTrue(col 10:boolean)
+ predicate: cboolean1 (type: boolean)
+ Statistics: Num rows: 6138 Data size: 18336 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: cboolean1 (type: boolean), if(cboolean1, 'first', 'second') (type: string)
outputColumnNames: _col0, _col1
@@ -47,7 +46,7 @@ STAGE PLANS:
native: true
projectedOutputColumnNums: [10, 14]
selectExpressions: IfExprStringScalarStringScalar(col 10:boolean, val first, val second) -> 14:string
- Statistics: Num rows: 4587 Data size: 426534 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 6138 Data size: 570756 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col0 (type: boolean)
null sort order: z
@@ -56,7 +55,7 @@ STAGE PLANS:
className: VectorReduceSinkObjectHashOperator
native: true
nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
- Statistics: Num rows: 4587 Data size: 426534 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 6138 Data size: 570756 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col1 (type: string)
Execution mode: vectorized, llap
LLAP IO: all inputs
@@ -85,13 +84,13 @@ STAGE PLANS:
className: VectorSelectOperator
native: true
projectedOutputColumnNums: [0, 1]
- Statistics: Num rows: 4587 Data size: 426534 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 6138 Data size: 570756 Basic stats: COMPLETE Column stats: COMPLETE
File Output Operator
compressed: false
File Sink Vectorization:
className: VectorFileSinkOperator
native: false
- Statistics: Num rows: 4587 Data size: 426534 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 6138 Data size: 570756 Basic stats: COMPLETE Column stats: COMPLETE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
diff --git a/ql/src/test/results/clientpositive/llap/vector_interval_mapjoin.q.out b/ql/src/test/results/clientpositive/llap/vector_interval_mapjoin.q.out
index 2bbf69ab5033..76f4387f95ee 100644
--- a/ql/src/test/results/clientpositive/llap/vector_interval_mapjoin.q.out
+++ b/ql/src/test/results/clientpositive/llap/vector_interval_mapjoin.q.out
@@ -206,7 +206,7 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: vectortab_a_1korc
- filterExpr: (dt is not null and CAST( ts AS DATE) is not null and s is not null) (type: boolean)
+ filterExpr: ((dt - CAST( ts AS DATE)) is not null and s is not null) (type: boolean)
Statistics: Num rows: 1000 Data size: 185480 Basic stats: COMPLETE Column stats: COMPLETE
TableScan Vectorization:
native: true
@@ -214,18 +214,18 @@ STAGE PLANS:
Filter Vectorization:
className: VectorFilterOperator
native: true
- predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 12:date), SelectColumnIsNotNull(col 15:date)(children: CastTimestampToDate(col 10:timestamp) -> 15:date), SelectColumnIsNotNull(col 8:string))
- predicate: (dt is not null and CAST( ts AS DATE) is not null and s is not null) (type: boolean)
- Statistics: Num rows: 905 Data size: 167854 Basic stats: COMPLETE Column stats: COMPLETE
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 16:interval_day_time)(children: DateColSubtractDateColumn(col 12:date, col 15:date)(children: CastTimestampToDate(col 10:timestamp) -> 15:date) -> 16:interval_day_time), SelectColumnIsNotNull(col 8:string))
+ predicate: ((dt - CAST( ts AS DATE)) is not null and s is not null) (type: boolean)
+ Statistics: Num rows: 949 Data size: 176022 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: s (type: string), (dt - CAST( ts AS DATE)) (type: interval_day_time)
outputColumnNames: _col0, _col1
Select Vectorization:
className: VectorSelectOperator
native: true
- projectedOutputColumnNums: [8, 17]
- selectExpressions: DateColSubtractDateColumn(col 12:date, col 16:date)(children: CastTimestampToDate(col 10:timestamp) -> 16:date) -> 17:interval_day_time
- Statistics: Num rows: 905 Data size: 95930 Basic stats: COMPLETE Column stats: COMPLETE
+ projectedOutputColumnNums: [8, 18]
+ selectExpressions: DateColSubtractDateColumn(col 12:date, col 17:date)(children: CastTimestampToDate(col 10:timestamp) -> 17:date) -> 18:interval_day_time
+ Statistics: Num rows: 949 Data size: 100594 Basic stats: COMPLETE Column stats: COMPLETE
Map Join Operator
condition map:
Inner Join 0 to 1
@@ -240,21 +240,21 @@ STAGE PLANS:
outputColumnNames: _col0, _col1, _col2
input vertices:
1 Map 2
- Statistics: Num rows: 890 Data size: 178000 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 943 Data size: 188600 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col0 (type: string), _col2 (type: string), _col1 (type: interval_day_time)
outputColumnNames: _col0, _col1, _col2
Select Vectorization:
className: VectorSelectOperator
native: true
- projectedOutputColumnNums: [8, 8, 17]
- Statistics: Num rows: 890 Data size: 178000 Basic stats: COMPLETE Column stats: COMPLETE
+ projectedOutputColumnNums: [8, 8, 18]
+ Statistics: Num rows: 943 Data size: 188600 Basic stats: COMPLETE Column stats: COMPLETE
File Output Operator
compressed: false
File Sink Vectorization:
className: VectorFileSinkOperator
native: false
- Statistics: Num rows: 890 Data size: 178000 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 943 Data size: 188600 Basic stats: COMPLETE Column stats: COMPLETE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
@@ -274,7 +274,7 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: vectortab_b_1korc
- filterExpr: (dt is not null and CAST( ts AS DATE) is not null and s is not null) (type: boolean)
+ filterExpr: ((dt - CAST( ts AS DATE)) is not null and s is not null) (type: boolean)
Statistics: Num rows: 1000 Data size: 184664 Basic stats: COMPLETE Column stats: COMPLETE
TableScan Vectorization:
native: true
@@ -282,18 +282,18 @@ STAGE PLANS:
Filter Vectorization:
className: VectorFilterOperator
native: true
- predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 12:date), SelectColumnIsNotNull(col 15:date)(children: CastTimestampToDate(col 10:timestamp) -> 15:date), SelectColumnIsNotNull(col 8:string))
- predicate: (dt is not null and CAST( ts AS DATE) is not null and s is not null) (type: boolean)
- Statistics: Num rows: 890 Data size: 164340 Basic stats: COMPLETE Column stats: COMPLETE
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 16:interval_day_time)(children: DateColSubtractDateColumn(col 12:date, col 15:date)(children: CastTimestampToDate(col 10:timestamp) -> 15:date) -> 16:interval_day_time), SelectColumnIsNotNull(col 8:string))
+ predicate: ((dt - CAST( ts AS DATE)) is not null and s is not null) (type: boolean)
+ Statistics: Num rows: 943 Data size: 174122 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: s (type: string), (dt - CAST( ts AS DATE)) (type: interval_day_time)
outputColumnNames: _col0, _col1
Select Vectorization:
className: VectorSelectOperator
native: true
- projectedOutputColumnNums: [8, 17]
- selectExpressions: DateColSubtractDateColumn(col 12:date, col 16:date)(children: CastTimestampToDate(col 10:timestamp) -> 16:date) -> 17:interval_day_time
- Statistics: Num rows: 890 Data size: 94340 Basic stats: COMPLETE Column stats: COMPLETE
+ projectedOutputColumnNums: [8, 18]
+ selectExpressions: DateColSubtractDateColumn(col 12:date, col 17:date)(children: CastTimestampToDate(col 10:timestamp) -> 17:date) -> 18:interval_day_time
+ Statistics: Num rows: 943 Data size: 99958 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col0 (type: string), _col1 (type: interval_day_time)
null sort order: zz
@@ -303,7 +303,7 @@ STAGE PLANS:
className: VectorReduceSinkMultiKeyOperator
native: true
nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
- Statistics: Num rows: 890 Data size: 94340 Basic stats: COMPLETE Column stats: COMPLETE
+ Statistics: Num rows: 943 Data size: 99958 Basic stats: COMPLETE Column stats: COMPLETE
Execution mode: vectorized, llap
LLAP IO: all inputs
Map Vectorization:
diff --git a/ql/src/test/results/clientpositive/llap/vector_orc_nested_column_pruning.q.out b/ql/src/test/results/clientpositive/llap/vector_orc_nested_column_pruning.q.out
index 651d95b2cdc3..afd819be44c8 100644
--- a/ql/src/test/results/clientpositive/llap/vector_orc_nested_column_pruning.q.out
+++ b/ql/src/test/results/clientpositive/llap/vector_orc_nested_column_pruning.q.out
@@ -1505,7 +1505,7 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: t2
- filterExpr: (s1.f6 is not null and (not s2.f8.f9)) (type: boolean)
+ filterExpr: ((not s2.f8.f9) and s1.f6 is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 1468 Basic stats: COMPLETE Column stats: NONE
TableScan Vectorization:
native: true
@@ -1513,8 +1513,8 @@ STAGE PLANS:
Filter Vectorization:
className: VectorFilterOperator
native: true
- predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 9:int)(children: VectorUDFStructField(col 1:struct,f6:int>, col 3:int) -> 9:int), SelectColumnIsFalse(col 11:boolean)(children: VectorUDFStructField(col 10:struct,f11:map>, col 0:int)(children: VectorUDFStructField(col 2:struct,f11:map>>, col 1:int) -> 10:struct,f11:map>) -> 11:boolean))
- predicate: (s1.f6 is not null and (not s2.f8.f9)) (type: boolean)
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsFalse(col 10:boolean)(children: VectorUDFStructField(col 9:struct,f11:map>, col 0:int)(children: VectorUDFStructField(col 2:struct,f11:map>>, col 1:int) -> 9:struct,f11:map>) -> 10:boolean), SelectColumnIsNotNull(col 11:int)(children: VectorUDFStructField(col 1:struct,f6:int>, col 3:int) -> 11:int))
+ predicate: ((not s2.f8.f9) and s1.f6 is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 1468 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s1 (type: struct,f6:int>), s2 (type: struct,f11:map>>)
@@ -1531,7 +1531,7 @@ STAGE PLANS:
Map-reduce partition columns: _col0.f6 (type: int)
Reduce Sink Vectorization:
className: VectorReduceSinkLongOperator
- keyExpressions: VectorUDFStructField(col 1:struct,f6:int>, col 3:int) -> 9:int
+ keyExpressions: VectorUDFStructField(col 1:struct,f6:int>, col 3:int) -> 10:int
native: true
nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1 Data size: 1468 Basic stats: COMPLETE Column stats: NONE
diff --git a/ql/src/test/results/clientpositive/llap/vector_varchar_mapjoin1.q.out b/ql/src/test/results/clientpositive/llap/vector_varchar_mapjoin1.q.out
index fcd98498c656..83b3dcb58ef8 100644
--- a/ql/src/test/results/clientpositive/llap/vector_varchar_mapjoin1.q.out
+++ b/ql/src/test/results/clientpositive/llap/vector_varchar_mapjoin1.q.out
@@ -441,10 +441,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: a
- filterExpr: CAST( c2 AS STRING) is not null (type: boolean)
+ filterExpr: c2 is not null (type: boolean)
Statistics: Num rows: 3 Data size: 276 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: CAST( c2 AS STRING) is not null (type: boolean)
+ predicate: c2 is not null (type: boolean)
Statistics: Num rows: 3 Data size: 276 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: c1 (type: int), c2 (type: varchar(10)), CAST( c2 AS STRING) (type: string)
diff --git a/ql/src/test/results/clientpositive/llap/vectorization_0.q.out b/ql/src/test/results/clientpositive/llap/vectorization_0.q.out
index 3293b5a262ed..74f9edbe456c 100644
--- a/ql/src/test/results/clientpositive/llap/vectorization_0.q.out
+++ b/ql/src/test/results/clientpositive/llap/vectorization_0.q.out
@@ -1271,7 +1271,7 @@ POSTHOOK: Input: default@alltypesorc
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT COUNT(*) AS `_c0`
FROM `default`.`alltypesorc`
-WHERE `cstring1` LIKE 'a%' OR `cstring1` LIKE 'b%' OR `cstring1` LIKE 'c%' OR CHARACTER_LENGTH(`cstring1`) < 50 AND `cstring1` LIKE '%n' AND CHARACTER_LENGTH(`cstring1`) > 0
+WHERE `cstring1` LIKE 'a%' OR `cstring1` LIKE 'b%' OR `cstring1` LIKE 'c%' OR CHARACTER_LENGTH(`cstring1`) > 0 AND CHARACTER_LENGTH(`cstring1`) < 50 AND `cstring1` LIKE '%n'
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -1288,12 +1288,12 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: alltypesorc
- filterExpr: ((cstring1 like 'a%') or (cstring1 like 'b%') or (cstring1 like 'c%') or ((length(cstring1) < 50) and (cstring1 like '%n') and (length(cstring1) > 0))) (type: boolean)
+ filterExpr: ((cstring1 like 'a%') or (cstring1 like 'b%') or (cstring1 like 'c%') or ((length(cstring1) > 0) and (length(cstring1) < 50) and (cstring1 like '%n'))) (type: boolean)
Statistics: Num rows: 12288 Data size: 862450 Basic stats: COMPLETE Column stats: COMPLETE
GatherStats: false
Filter Operator
isSamplingPred: false
- predicate: ((cstring1 like 'a%') or (cstring1 like 'b%') or (cstring1 like 'c%') or ((length(cstring1) < 50) and (cstring1 like '%n') and (length(cstring1) > 0))) (type: boolean)
+ predicate: ((cstring1 like 'a%') or (cstring1 like 'b%') or (cstring1 like 'c%') or ((length(cstring1) > 0) and (length(cstring1) < 50) and (cstring1 like '%n'))) (type: boolean)
Statistics: Num rows: 12288 Data size: 862450 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
Statistics: Num rows: 12288 Data size: 862450 Basic stats: COMPLETE Column stats: COMPLETE
@@ -30082,7 +30082,7 @@ POSTHOOK: Input: default@alltypesorc
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT `ctinyint` AS `alltypesorc.ctinyint`, `csmallint` AS `alltypesorc.csmallint`, `cint` AS `alltypesorc.cint`, `cbigint` AS `alltypesorc.cbigint`, `cfloat` AS `alltypesorc.cfloat`, `cdouble` AS `alltypesorc.cdouble`, `cstring1` AS `alltypesorc.cstring1`, `cstring2` AS `alltypesorc.cstring2`, `ctimestamp1` AS `alltypesorc.ctimestamp1`, `ctimestamp2` AS `alltypesorc.ctimestamp2`, `cboolean1` AS `alltypesorc.cboolean1`, `cboolean2` AS `alltypesorc.cboolean2`
FROM `default`.`alltypesorc`
-WHERE `cint` = 49 AND `cfloat` = 3.5 OR `cint` = 47 AND `cfloat` = 2.09 OR `cint` = 45 AND `cfloat` = 3.02
+WHERE `cint` = 49 AND `cfloat` = 3.5E0 OR `cint` = 47 AND `cfloat` = 2.09E0 OR `cint` = 45 AND `cfloat` = 3.02E0
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -30193,7 +30193,7 @@ POSTHOOK: Input: default@alltypesorc
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT `ctinyint` AS `alltypesorc.ctinyint`, `csmallint` AS `alltypesorc.csmallint`, `cint` AS `alltypesorc.cint`, `cbigint` AS `alltypesorc.cbigint`, `cfloat` AS `alltypesorc.cfloat`, `cdouble` AS `alltypesorc.cdouble`, `cstring1` AS `alltypesorc.cstring1`, `cstring2` AS `alltypesorc.cstring2`, `ctimestamp1` AS `alltypesorc.ctimestamp1`, `ctimestamp2` AS `alltypesorc.ctimestamp2`, `cboolean1` AS `alltypesorc.cboolean1`, `cboolean2` AS `alltypesorc.cboolean2`
FROM `default`.`alltypesorc`
-WHERE (`cint`, `cfloat`) IN ((49, 3.5), (47, 2.09), (45, 3.02))
+WHERE (`cint`, `cfloat`) IN ((49, 3.5E0), (47, 2.09E0), (45, 3.02E0))
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -30304,7 +30304,7 @@ POSTHOOK: Input: default@alltypesorc
#### A masked pattern was here ####
OPTIMIZED SQL: SELECT `ctinyint` AS `alltypesorc.ctinyint`, `csmallint` AS `alltypesorc.csmallint`, `cint` AS `alltypesorc.cint`, `cbigint` AS `alltypesorc.cbigint`, `cfloat` AS `alltypesorc.cfloat`, `cdouble` AS `alltypesorc.cdouble`, `cstring1` AS `alltypesorc.cstring1`, `cstring2` AS `alltypesorc.cstring2`, `ctimestamp1` AS `alltypesorc.ctimestamp1`, `ctimestamp2` AS `alltypesorc.ctimestamp2`, `cboolean1` AS `alltypesorc.cboolean1`, `cboolean2` AS `alltypesorc.cboolean2`
FROM `default`.`alltypesorc`
-WHERE (`cint` = 49 OR `cfloat` = 3.5) AND (`cint` = 47 OR `cfloat` = 2.09) AND (`cint` = 45 OR `cfloat` = 3.02)
+WHERE (`cint` = 49 OR `cfloat` = 3.5E0) AND (`cint` = 47 OR `cfloat` = 2.09E0) AND (`cint` = 45 OR `cfloat` = 3.02E0)
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
diff --git a/ql/src/test/results/clientpositive/llap/vectorization_short_regress.q.out b/ql/src/test/results/clientpositive/llap/vectorization_short_regress.q.out
index 418538ff44de..e2771eea5711 100644
--- a/ql/src/test/results/clientpositive/llap/vectorization_short_regress.q.out
+++ b/ql/src/test/results/clientpositive/llap/vectorization_short_regress.q.out
@@ -875,7 +875,7 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: alltypesorc
- filterExpr: (((csmallint < UDFToShort(ctinyint)) and (UDFToDouble(ctimestamp1) >= 0.0D)) or (cfloat = 17.0) or ((ctimestamp2 <= ctimestamp1) and (UDFToDouble(cbigint) <> cdouble) and (cstring1 >= 'ss'))) (type: boolean)
+ filterExpr: (((csmallint < UDFToShort(ctinyint)) and (UDFToDouble(ctimestamp1) >= 0.0D)) or ((ctimestamp2 <= ctimestamp1) and (UDFToDouble(cbigint) <> cdouble) and (cstring1 >= 'ss')) or (cfloat = 17.0)) (type: boolean)
Statistics: Num rows: 12288 Data size: 1889990 Basic stats: COMPLETE Column stats: COMPLETE
TableScan Vectorization:
native: true
@@ -883,8 +883,8 @@ STAGE PLANS:
Filter Vectorization:
className: VectorFilterOperator
native: true
- predicateExpression: FilterExprOrExpr(children: FilterExprAndExpr(children: FilterLongColLessLongColumn(col 1:smallint, col 0:smallint)(children: col 0:tinyint), FilterDoubleColGreaterEqualDoubleScalar(col 14:double, val 0.0)(children: CastTimestampToDouble(col 8:timestamp) -> 14:double)), FilterDoubleColEqualDoubleScalar(col 4:float, val 17.0), FilterExprAndExpr(children: FilterTimestampColLessEqualTimestampColumn(col 9:timestamp, col 8:timestamp), FilterDoubleColNotEqualDoubleColumn(col 15:double, col 5:double)(children: CastLongToDouble(col 3:bigint) -> 15:double), FilterStringGroupColGreaterEqualStringScalar(col 6:string, val ss)))
- predicate: (((csmallint < UDFToShort(ctinyint)) and (UDFToDouble(ctimestamp1) >= 0.0D)) or (cfloat = 17.0) or ((ctimestamp2 <= ctimestamp1) and (UDFToDouble(cbigint) <> cdouble) and (cstring1 >= 'ss'))) (type: boolean)
+ predicateExpression: FilterExprOrExpr(children: FilterExprAndExpr(children: FilterLongColLessLongColumn(col 1:smallint, col 0:smallint)(children: col 0:tinyint), FilterDoubleColGreaterEqualDoubleScalar(col 14:double, val 0.0)(children: CastTimestampToDouble(col 8:timestamp) -> 14:double)), FilterExprAndExpr(children: FilterTimestampColLessEqualTimestampColumn(col 9:timestamp, col 8:timestamp), FilterDoubleColNotEqualDoubleColumn(col 15:double, col 5:double)(children: CastLongToDouble(col 3:bigint) -> 15:double), FilterStringGroupColGreaterEqualStringScalar(col 6:string, val ss)), FilterDoubleColEqualDoubleScalar(col 4:float, val 17.0))
+ predicate: (((csmallint < UDFToShort(ctinyint)) and (UDFToDouble(ctimestamp1) >= 0.0D)) or ((ctimestamp2 <= ctimestamp1) and (UDFToDouble(cbigint) <> cdouble) and (cstring1 >= 'ss')) or (cfloat = 17.0)) (type: boolean)
Statistics: Num rows: 2824 Data size: 434454 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: ctinyint (type: tinyint), cbigint (type: bigint), cfloat (type: float), UDFToDouble(cint) (type: double), (UDFToDouble(cint) * UDFToDouble(cint)) (type: double), UDFToDouble(cbigint) (type: double), (UDFToDouble(cbigint) * UDFToDouble(cbigint)) (type: double)
diff --git a/ql/src/test/results/clientpositive/llap/vectorized_decimal64_boundary.q.out b/ql/src/test/results/clientpositive/llap/vectorized_decimal64_boundary.q.out
index 5d100048226c..f8d637c0d0b8 100644
--- a/ql/src/test/results/clientpositive/llap/vectorized_decimal64_boundary.q.out
+++ b/ql/src/test/results/clientpositive/llap/vectorized_decimal64_boundary.q.out
@@ -122,13 +122,13 @@ STAGE PLANS:
predicate: ss_store_sk is not null (type: boolean)
Statistics: Num rows: 1 Data size: 120 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
- expressions: ss_store_sk (type: int), if((ss_sales_price is not null and CAST( ss_quantity AS decimal(10,0)) is not null), (ss_sales_price * CAST( ss_quantity AS decimal(10,0))), 0) (type: decimal(18,2))
+ expressions: ss_store_sk (type: int), if((ss_sales_price is not null and ss_quantity is not null), (ss_sales_price * CAST( ss_quantity AS decimal(10,0))), 0) (type: decimal(18,2))
outputColumnNames: _col0, _col1
Select Vectorization:
className: VectorSelectOperator
native: true
- projectedOutputColumnNums: [0, 18]
- selectExpressions: IfExprDecimal64ColumnDecimal64Scalar(col 15:boolean, col 17:decimal(18,2)/DECIMAL_64, decimal64Val 0, decimalVal 0)(children: ColAndCol(col 12:boolean, col 14:boolean)(children: IsNotNull(col 2:decimal(7,2)/DECIMAL_64) -> 12:boolean, IsNotNull(col 19:decimal(10,0))(children: ConvertDecimal64ToDecimal(col 13:decimal(10,0)/DECIMAL_64)(children: CastLongToDecimal64(col 1:int) -> 13:decimal(10,0)/DECIMAL_64) -> 19:decimal(10,0)) -> 14:boolean) -> 15:boolean, Decimal64ColMultiplyDecimal64Column(col 2:decimal(7,2)/DECIMAL_64, col 16:decimal(10,0)/DECIMAL_64)(children: CastLongToDecimal64(col 1:int) -> 16:decimal(10,0)/DECIMAL_64) -> 17:decimal(18,2)/DECIMAL_64) -> 18:decimal(18,2)/DECIMAL_64
+ projectedOutputColumnNums: [0, 16]
+ selectExpressions: IfExprDecimal64ColumnDecimal64Scalar(col 13:boolean, col 15:decimal(18,2)/DECIMAL_64, decimal64Val 0, decimalVal 0)(children: ColAndCol(col 11:boolean, col 12:boolean)(children: IsNotNull(col 2:decimal(7,2)/DECIMAL_64) -> 11:boolean, IsNotNull(col 1:int) -> 12:boolean) -> 13:boolean, Decimal64ColMultiplyDecimal64Column(col 2:decimal(7,2)/DECIMAL_64, col 14:decimal(10,0)/DECIMAL_64)(children: CastLongToDecimal64(col 1:int) -> 14:decimal(10,0)/DECIMAL_64) -> 15:decimal(18,2)/DECIMAL_64) -> 16:decimal(18,2)/DECIMAL_64
Statistics: Num rows: 1 Data size: 116 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col0 (type: int)
@@ -140,7 +140,7 @@ STAGE PLANS:
keyColumns: 0:int
native: true
nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
- valueColumns: 18:decimal(18,2)
+ valueColumns: 16:decimal(18,2)
Statistics: Num rows: 1 Data size: 116 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col1 (type: decimal(18,2))
Execution mode: vectorized, llap
@@ -159,7 +159,7 @@ STAGE PLANS:
includeColumns: [0, 1, 2]
dataColumns: ss_store_sk:int, ss_quantity:int, ss_sales_price:decimal(7,2)/DECIMAL_64
partitionColumnCount: 0
- scratchColumnTypeNames: [bigint, decimal(10,0)/DECIMAL_64, bigint, bigint, decimal(10,0)/DECIMAL_64, decimal(18,2)/DECIMAL_64, decimal(18,2), bigint, decimal(10,0)/DECIMAL_64, bigint, bigint, decimal(10,0)/DECIMAL_64, decimal(18,2)/DECIMAL_64, decimal(18,2)/DECIMAL_64, decimal(10,0)]
+ scratchColumnTypeNames: [bigint, bigint, bigint, decimal(10,0)/DECIMAL_64, decimal(18,2)/DECIMAL_64, decimal(18,2), bigint, bigint, bigint, decimal(10,0)/DECIMAL_64, decimal(18,2)/DECIMAL_64, decimal(18,2)/DECIMAL_64]
Map 3
Map Operator Tree:
TableScan
diff --git a/ql/src/test/results/clientpositive/llap/vectorized_dynamic_partition_pruning.q.out b/ql/src/test/results/clientpositive/llap/vectorized_dynamic_partition_pruning.q.out
index 58af789cf254..5f7f20b165dd 100644
--- a/ql/src/test/results/clientpositive/llap/vectorized_dynamic_partition_pruning.q.out
+++ b/ql/src/test/results/clientpositive/llap/vectorized_dynamic_partition_pruning.q.out
@@ -1909,37 +1909,40 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: srcpart_double_hour_n2
- filterExpr: ((UDFToDouble(hour) = 11.0D) and UDFToDouble(UDFToInteger((hr / 2.0D))) is not null) (type: boolean)
+ filterExpr: ((UDFToDouble(hour) = 11.0D) and hr is not null) (type: boolean)
Statistics: Num rows: 2 Data size: 188 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((UDFToDouble(hour) = 11.0D) and UDFToDouble(UDFToInteger((hr / 2.0D))) is not null) (type: boolean)
+ predicate: ((UDFToDouble(hour) = 11.0D) and hr is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 94 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: UDFToDouble(UDFToInteger((hr / 2.0D))) (type: double)
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
- Reduce Output Operator
- key expressions: _col0 (type: double)
- null sort order: z
- sort order: +
- Map-reduce partition columns: _col0 (type: double)
+ Filter Operator
+ predicate: _col0 is not null (type: boolean)
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
- Select Operator
- expressions: _col0 (type: double)
- outputColumnNames: _col0
- Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
- Group By Operator
- keys: _col0 (type: double)
- minReductionHashAggr: 0.4
- mode: hash
+ Reduce Output Operator
+ key expressions: _col0 (type: double)
+ null sort order: z
+ sort order: +
+ Map-reduce partition columns: _col0 (type: double)
+ Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
+ Select Operator
+ expressions: _col0 (type: double)
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
- Dynamic Partitioning Event Operator
- Target column: hr (string)
- Target Input: srcpart
- Partition key expr: UDFToDouble(hr)
+ Group By Operator
+ keys: _col0 (type: double)
+ minReductionHashAggr: 0.4
+ mode: hash
+ outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
- Target Vertex: Map 1
+ Dynamic Partitioning Event Operator
+ Target column: hr (string)
+ Target Input: srcpart
+ Partition key expr: UDFToDouble(hr)
+ Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
+ Target Vertex: Map 1
Execution mode: vectorized, llap
LLAP IO: all inputs
Map Vectorization:
@@ -2061,10 +2064,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: srcpart
- filterExpr: UDFToDouble(hr) is not null (type: boolean)
+ filterExpr: (UDFToDouble(hr) * 2.0D) is not null (type: boolean)
Statistics: Num rows: 2000 Data size: 389248 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: UDFToDouble(hr) is not null (type: boolean)
+ predicate: (UDFToDouble(hr) * 2.0D) is not null (type: boolean)
Statistics: Num rows: 2000 Data size: 368000 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: (UDFToDouble(hr) * 2.0D) (type: double)
@@ -2273,21 +2276,24 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: srcpart_double_hour_n2
- filterExpr: ((UDFToDouble(hour) = 11.0D) and UDFToDouble(UDFToInteger((hr / 2.0D))) is not null) (type: boolean)
+ filterExpr: ((UDFToDouble(hour) = 11.0D) and hr is not null) (type: boolean)
Statistics: Num rows: 2 Data size: 188 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((UDFToDouble(hour) = 11.0D) and UDFToDouble(UDFToInteger((hr / 2.0D))) is not null) (type: boolean)
+ predicate: ((UDFToDouble(hour) = 11.0D) and hr is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 94 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: UDFToDouble(UDFToInteger((hr / 2.0D))) (type: double)
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
- Reduce Output Operator
- key expressions: _col0 (type: double)
- null sort order: z
- sort order: +
- Map-reduce partition columns: _col0 (type: double)
+ Filter Operator
+ predicate: _col0 is not null (type: boolean)
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
+ Reduce Output Operator
+ key expressions: _col0 (type: double)
+ null sort order: z
+ sort order: +
+ Map-reduce partition columns: _col0 (type: double)
+ Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
Execution mode: vectorized, llap
LLAP IO: all inputs
Map Vectorization:
@@ -2409,10 +2415,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: srcpart
- filterExpr: UDFToDouble(hr) is not null (type: boolean)
+ filterExpr: (UDFToDouble(hr) * 2.0D) is not null (type: boolean)
Statistics: Num rows: 2000 Data size: 389248 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: UDFToDouble(hr) is not null (type: boolean)
+ predicate: (UDFToDouble(hr) * 2.0D) is not null (type: boolean)
Statistics: Num rows: 2000 Data size: 368000 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: (UDFToDouble(hr) * 2.0D) (type: double)
@@ -2588,10 +2594,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: srcpart
- filterExpr: CAST( (UDFToDouble(hr) * 2.0D) AS STRING) is not null (type: boolean)
+ filterExpr: (UDFToDouble(hr) * 2.0D) is not null (type: boolean)
Statistics: Num rows: 2000 Data size: 389248 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: CAST( (UDFToDouble(hr) * 2.0D) AS STRING) is not null (type: boolean)
+ predicate: (UDFToDouble(hr) * 2.0D) is not null (type: boolean)
Statistics: Num rows: 2000 Data size: 368000 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: CAST( (UDFToDouble(hr) * 2.0D) AS STRING) (type: string)
@@ -2618,10 +2624,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: srcpart_double_hour_n2
- filterExpr: ((UDFToDouble(hour) = 11.0D) and CAST( hr AS STRING) is not null) (type: boolean)
+ filterExpr: ((UDFToDouble(hour) = 11.0D) and hr is not null) (type: boolean)
Statistics: Num rows: 2 Data size: 188 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((UDFToDouble(hour) = 11.0D) and CAST( hr AS STRING) is not null) (type: boolean)
+ predicate: ((UDFToDouble(hour) = 11.0D) and hr is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 94 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: CAST( hr AS STRING) (type: string)
@@ -5903,37 +5909,40 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: srcpart_double_hour_n2
- filterExpr: ((UDFToDouble(hour) = 11.0D) and UDFToDouble(UDFToInteger((hr / 2.0D))) is not null) (type: boolean)
+ filterExpr: ((UDFToDouble(hour) = 11.0D) and hr is not null) (type: boolean)
Statistics: Num rows: 2 Data size: 188 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((UDFToDouble(hour) = 11.0D) and UDFToDouble(UDFToInteger((hr / 2.0D))) is not null) (type: boolean)
+ predicate: ((UDFToDouble(hour) = 11.0D) and hr is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 94 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: UDFToDouble(UDFToInteger((hr / 2.0D))) (type: double)
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
- Reduce Output Operator
- key expressions: _col0 (type: double)
- null sort order: z
- sort order: +
- Map-reduce partition columns: _col0 (type: double)
+ Filter Operator
+ predicate: _col0 is not null (type: boolean)
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
- Select Operator
- expressions: _col0 (type: double)
- outputColumnNames: _col0
- Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
- Group By Operator
- keys: _col0 (type: double)
- minReductionHashAggr: 0.4
- mode: hash
+ Reduce Output Operator
+ key expressions: _col0 (type: double)
+ null sort order: z
+ sort order: +
+ Map-reduce partition columns: _col0 (type: double)
+ Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
+ Select Operator
+ expressions: _col0 (type: double)
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
- Dynamic Partitioning Event Operator
- Target column: hr (string)
- Target Input: srcpart
- Partition key expr: UDFToDouble(hr)
+ Group By Operator
+ keys: _col0 (type: double)
+ minReductionHashAggr: 0.4
+ mode: hash
+ outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
- Target Vertex: Map 1
+ Dynamic Partitioning Event Operator
+ Target column: hr (string)
+ Target Input: srcpart
+ Partition key expr: UDFToDouble(hr)
+ Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
+ Target Vertex: Map 1
Execution mode: vectorized, llap
LLAP IO: all inputs
Map Vectorization:
@@ -6031,10 +6040,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: srcpart
- filterExpr: UDFToDouble(hr) is not null (type: boolean)
+ filterExpr: (UDFToDouble(hr) * 2.0D) is not null (type: boolean)
Statistics: Num rows: 2000 Data size: 389248 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: UDFToDouble(hr) is not null (type: boolean)
+ predicate: (UDFToDouble(hr) * 2.0D) is not null (type: boolean)
Statistics: Num rows: 2000 Data size: 368000 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: (UDFToDouble(hr) * 2.0D) (type: double)
@@ -7504,35 +7513,31 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: srcpart_orc_n0
- filterExpr: UDFToDouble(hr) is not null (type: boolean)
Statistics: Num rows: 2000 Data size: 564000 Basic stats: COMPLETE Column stats: COMPLETE
- Filter Operator
- predicate: UDFToDouble(hr) is not null (type: boolean)
- Statistics: Num rows: 2000 Data size: 376000 Basic stats: COMPLETE Column stats: COMPLETE
- Select Operator
- expressions: ds (type: string), UDFToDouble(hr) (type: double)
- outputColumnNames: _col0, _col1
- Statistics: Num rows: 2000 Data size: 384000 Basic stats: COMPLETE Column stats: COMPLETE
- Map Join Operator
- condition map:
- Inner Join 0 to 1
- keys:
- 0 _col0 (type: string), _col1 (type: double)
- 1 _col0 (type: string), _col1 (type: double)
- input vertices:
- 1 Map 3
- Statistics: Num rows: 2000 Data size: 16000 Basic stats: COMPLETE Column stats: COMPLETE
- Group By Operator
- aggregations: count()
- minReductionHashAggr: 0.99
- mode: hash
- outputColumnNames: _col0
+ Select Operator
+ expressions: ds (type: string), UDFToDouble(hr) (type: double)
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 2000 Data size: 384000 Basic stats: COMPLETE Column stats: COMPLETE
+ Map Join Operator
+ condition map:
+ Inner Join 0 to 1
+ keys:
+ 0 _col0 (type: string), _col1 (type: double)
+ 1 _col0 (type: string), _col1 (type: double)
+ input vertices:
+ 1 Map 3
+ Statistics: Num rows: 2000 Data size: 16000 Basic stats: COMPLETE Column stats: COMPLETE
+ Group By Operator
+ aggregations: count()
+ minReductionHashAggr: 0.99
+ mode: hash
+ outputColumnNames: _col0
+ Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
+ Reduce Output Operator
+ null sort order:
+ sort order:
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
- Reduce Output Operator
- null sort order:
- sort order:
- Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
- value expressions: _col0 (type: bigint)
+ value expressions: _col0 (type: bigint)
Execution mode: llap
LLAP IO: all inputs
Map 3
diff --git a/ql/src/test/results/clientpositive/llap/view_top_relnode_not_project_authorization.q.out b/ql/src/test/results/clientpositive/llap/view_top_relnode_not_project_authorization.q.out
index 67e76bd6d451..9ecd2525ba68 100644
--- a/ql/src/test/results/clientpositive/llap/view_top_relnode_not_project_authorization.q.out
+++ b/ql/src/test/results/clientpositive/llap/view_top_relnode_not_project_authorization.q.out
@@ -84,7 +84,7 @@ POSTHOOK: Input: default@vw_t2
#### A masked pattern was here ####
CBO PLAN:
HiveProject(vw_t2.username=[$0])
- HiveFilter(condition=[>($0, _UTF-16LE'a')])
+ HiveFilter(condition=[>($0, 'a')])
HiveProject(username=[$0])
HiveSortLimit(fetch=[1])
HiveProject(username=[$0])
diff --git a/ql/src/test/results/clientpositive/llap/windowing_distinct.q.out b/ql/src/test/results/clientpositive/llap/windowing_distinct.q.out
index da8db2ccaccd..8bbe75873f67 100644
--- a/ql/src/test/results/clientpositive/llap/windowing_distinct.q.out
+++ b/ql/src/test/results/clientpositive/llap/windowing_distinct.q.out
@@ -77,7 +77,7 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: default@windowing_distinct
#### A masked pattern was here ####
CBO PLAN:
-HiveProject(_c0=[count(DISTINCT $1) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c1=[count(DISTINCT $6) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c2=[count(DISTINCT $7) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c3=[count(DISTINCT $8) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c4=[count(DISTINCT ||(_UTF-16LE'Mr.':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $8)) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c5=[count(DISTINCT $9) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c6=[count(DISTINCT $10) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c7=[count(DISTINCT $11) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)])
+HiveProject(_c0=[count(DISTINCT $1) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c1=[count(DISTINCT $6) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c2=[count(DISTINCT $7) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c3=[count(DISTINCT $8) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c4=[count(DISTINCT ||('Mr.':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $8)) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c5=[count(DISTINCT $9) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c6=[count(DISTINCT $10) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c7=[count(DISTINCT $11) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)])
HiveTableScan(table=[[default, windowing_distinct]], table:alias=[windowing_distinct])
PREHOOK: query: EXPLAIN VECTORIZATION
@@ -299,7 +299,7 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: default@windowing_distinct
#### A masked pattern was here ####
CBO PLAN:
-HiveProject(_c0=[sum(DISTINCT $1) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c1=[sum(DISTINCT $6) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c2=[sum(DISTINCT $8) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c3=[sum(DISTINCT ||(_UTF-16LE'Mr.':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $8)) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c4=[sum(DISTINCT $9) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c5=[sum(DISTINCT $10) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)])
+HiveProject(_c0=[sum(DISTINCT $1) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c1=[sum(DISTINCT $6) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c2=[sum(DISTINCT $8) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c3=[sum(DISTINCT ||('Mr.':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $8)) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c4=[sum(DISTINCT $9) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c5=[sum(DISTINCT $10) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)])
HiveTableScan(table=[[default, windowing_distinct]], table:alias=[windowing_distinct])
PREHOOK: query: EXPLAIN VECTORIZATION
@@ -498,7 +498,7 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: default@windowing_distinct
#### A masked pattern was here ####
CBO PLAN:
-HiveProject(_c0=[avg(DISTINCT $1) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c1=[avg(DISTINCT $6) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c2=[avg(DISTINCT $8) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c3=[avg(DISTINCT ||(_UTF-16LE'Mr.':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $8)) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c4=[avg(DISTINCT $9) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c5=[avg(DISTINCT $10) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)])
+HiveProject(_c0=[avg(DISTINCT $1) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c1=[avg(DISTINCT $6) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c2=[avg(DISTINCT $8) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c3=[avg(DISTINCT ||('Mr.':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $8)) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c4=[avg(DISTINCT $9) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], _c5=[avg(DISTINCT $10) OVER (PARTITION BY $0 ORDER BY $0 NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)])
HiveTableScan(table=[[default, windowing_distinct]], table:alias=[windowing_distinct])
PREHOOK: query: EXPLAIN VECTORIZATION
diff --git a/ql/src/test/results/clientpositive/perf/tez/constraints/cbo_query_grouping_sets.q.out b/ql/src/test/results/clientpositive/perf/tez/constraints/cbo_query_grouping_sets.q.out
index 71768cdc25af..83ea9058c56b 100644
--- a/ql/src/test/results/clientpositive/perf/tez/constraints/cbo_query_grouping_sets.q.out
+++ b/ql/src/test/results/clientpositive/perf/tez/constraints/cbo_query_grouping_sets.q.out
@@ -73,7 +73,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[ASC], dir1=[ASC], dir2=[
HiveFilter(condition=[AND(IN($12, 9, 5), IS NOT NULL($4))])
HiveTableScan(table=[[default, customer]], table:alias=[customer])
HiveProject(ca_address_sk=[$0], ca_state=[$8], ca_country=[$10])
- HiveFilter(condition=[IN($8, _UTF-16LE'AL':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'MS':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'TN':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")])
+ HiveFilter(condition=[IN($8, 'AL':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'MS':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 'TN':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveProject(cs_sold_date_sk=[$0], cs_bill_customer_sk=[$1], cs_bill_cdemo_sk=[$2], cs_item_sk=[$3], CAST=[$4], d_date_sk=[$5], cd_demo_sk=[$6], CAST0=[$7])
HiveJoin(condition=[=($2, $6)], joinType=[inner], algorithm=[none], cost=[not available])
@@ -85,7 +85,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[ASC], dir1=[ASC], dir2=[
HiveFilter(condition=[=($6, 2001)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(cd_demo_sk=[$0], CAST=[CAST($6):DECIMAL(12, 2)])
- HiveFilter(condition=[AND(=($3, _UTF-16LE'College'), =($1, _UTF-16LE'M'))])
+ HiveFilter(condition=[AND(=($3, 'College'), =($1, 'M'))])
HiveTableScan(table=[[default, customer_demographics]], table:alias=[cd1])
PREHOOK: query: EXPLAIN
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query1.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query1.q.out
index 92e6a3acb4d5..1a41d7a2a669 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query1.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query1.q.out
@@ -23,7 +23,7 @@ HiveSortLimit(sort0=[$0], dir0=[ASC], fetch=[100])
HiveFilter(condition=[=($6, 2000)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(s_store_sk=[$0])
- HiveFilter(condition=[=($24, _UTF-16LE'NM')])
+ HiveFilter(condition=[=($24, 'NM')])
HiveTableScan(table=[[default, store]], table:alias=[store])
HiveProject(_o__c0=[*(CAST(/($1, $2)):DECIMAL(21, 6), 1.2:DECIMAL(2, 1))], ctr_store_sk=[$0])
HiveFilter(condition=[IS NOT NULL(CAST(/($1, $2)):DECIMAL(21, 6))])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query10.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query10.q.out
index 7739d1edebad..30203caba874 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query10.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query10.q.out
@@ -20,7 +20,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$4], sort4=[$6], sort5=
HiveFilter(condition=[AND(IS NOT NULL($2), IS NOT NULL($4))])
HiveTableScan(table=[[default, customer]], table:alias=[c])
HiveProject(ca_address_sk=[$0], ca_county=[$7])
- HiveFilter(condition=[IN($7, _UTF-16LE'Dona Ana County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Douglas County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Gaines County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Richland County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Walker County':VARCHAR(30) CHARACTER SET "UTF-16LE")])
+ HiveFilter(condition=[IN($7, 'Dona Ana County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Douglas County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Gaines County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Richland County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Walker County':VARCHAR(30) CHARACTER SET "UTF-16LE")])
HiveTableScan(table=[[default, customer_address]], table:alias=[ca])
HiveProject(ss_customer_sk=[$0])
HiveJoin(condition=[=($1, $2)], joinType=[inner], algorithm=[none], cost=[not available])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query12.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query12.q.out
index 813daa134207..ee7e4fae2c2f 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query12.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query12.q.out
@@ -12,6 +12,6 @@ HiveProject(i_item_desc=[$0], i_category=[$1], i_class=[$2], i_current_price=[$3
HiveFilter(condition=[BETWEEN(false, CAST($2):TIMESTAMP(9), 2001-01-12 00:00:00:TIMESTAMP(9), 2001-02-11 00:00:00:TIMESTAMP(9))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(i_item_sk=[$0], i_item_id=[$1], i_item_desc=[$4], i_current_price=[$5], i_class=[$10], i_category=[$12])
- HiveFilter(condition=[IN($12, _UTF-16LE'Books', _UTF-16LE'Jewelry', _UTF-16LE'Sports')])
+ HiveFilter(condition=[IN($12, 'Books ', 'Jewelry ', 'Sports ')])
HiveTableScan(table=[[default, item]], table:alias=[item])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query13.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query13.q.out
index 0a32c8957651..dd697ffc9f4e 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query13.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query13.q.out
@@ -5,19 +5,19 @@ HiveProject(_c0=[/(CAST($0):DOUBLE, $1)], _c1=[CAST(/($2, $3)):DECIMAL(11, 6)],
HiveJoin(condition=[=($1, $18)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[AND(=($2, $14), OR(AND($15, $7), AND($16, $8), AND($17, $9)))], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($6, $13)], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(ss_cdemo_sk=[$3], ss_hdemo_sk=[$4], ss_addr_sk=[$5], ss_quantity=[$9], ss_ext_sales_price=[$14], ss_ext_wholesale_cost=[$15], ss_sold_date_sk=[$22], EXPR$0=[BETWEEN(false, $21, 100:DECIMAL(12, 2), 200:DECIMAL(12, 2))], EXPR$1=[BETWEEN(false, $21, 150:DECIMAL(12, 2), 300:DECIMAL(12, 2))], EXPR$2=[BETWEEN(false, $21, 50:DECIMAL(12, 2), 250:DECIMAL(12, 2))], EXPR$5=[BETWEEN(false, $12, 100:DECIMAL(3, 0), 150:DECIMAL(3, 0))], EXPR$8=[BETWEEN(false, $12, 50:DECIMAL(3, 0), 100:DECIMAL(3, 0))], EXPR$11=[BETWEEN(false, $12, 150:DECIMAL(3, 0), 200:DECIMAL(3, 0))])
+ HiveProject(ss_cdemo_sk=[$3], ss_hdemo_sk=[$4], ss_addr_sk=[$5], ss_quantity=[$9], ss_ext_sales_price=[$14], ss_ext_wholesale_cost=[$15], ss_sold_date_sk=[$22], EXPR$0=[BETWEEN(false, $21, 100.00:DECIMAL(12, 2), 200.00:DECIMAL(12, 2))], EXPR$1=[BETWEEN(false, $21, 150.00:DECIMAL(12, 2), 300.00:DECIMAL(12, 2))], EXPR$2=[BETWEEN(false, $21, 50.00:DECIMAL(12, 2), 250.00:DECIMAL(12, 2))], EXPR$5=[BETWEEN(false, $12, 100:DECIMAL(3, 0), 150:DECIMAL(3, 0))], EXPR$8=[BETWEEN(false, $12, 50:DECIMAL(3, 0), 100:DECIMAL(3, 0))], EXPR$11=[BETWEEN(false, $12, 150:DECIMAL(3, 0), 200:DECIMAL(3, 0))])
HiveFilter(condition=[AND(IS NOT NULL($21), IS NOT NULL($12), IS NOT NULL($3), IS NOT NULL($5), IS NOT NULL($4), IS NOT NULL($6), IS NOT NULL($22))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
HiveProject(d_date_sk=[$0])
HiveFilter(condition=[=($6, 2001)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
- HiveProject(ca_address_sk=[$0], EXPR$0=[IN($8, _UTF-16LE'GA', _UTF-16LE'KY', _UTF-16LE'NM')], EXPR$1=[IN($8, _UTF-16LE'IN', _UTF-16LE'MT', _UTF-16LE'OR')], EXPR$2=[IN($8, _UTF-16LE'MO', _UTF-16LE'WI', _UTF-16LE'WV')])
- HiveFilter(condition=[AND(IN($8, _UTF-16LE'GA', _UTF-16LE'IN', _UTF-16LE'KY', _UTF-16LE'MO', _UTF-16LE'MT', _UTF-16LE'NM', _UTF-16LE'OR', _UTF-16LE'WI', _UTF-16LE'WV'), =($10, _UTF-16LE'United States'))])
+ HiveProject(ca_address_sk=[$0], EXPR$0=[IN($8, 'GA', 'KY', 'NM')], EXPR$1=[IN($8, 'IN', 'MT', 'OR')], EXPR$2=[IN($8, 'MO', 'WI', 'WV')])
+ HiveFilter(condition=[AND(IN($8, 'GA', 'IN', 'KY', 'MO', 'MT', 'NM', 'OR', 'WI', 'WV'), =($10, 'United States'))])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveProject(hd_demo_sk=[$0], EXPR$0=[=($3, 3)], EXPR$1=[=($3, 1)])
HiveFilter(condition=[IN($3, 1, 3)])
HiveTableScan(table=[[default, household_demographics]], table:alias=[household_demographics])
- HiveProject(cd_demo_sk=[$0], EXPR$3=[=($2, _UTF-16LE'M')], EXPR$4=[=($3, _UTF-16LE'4 yr Degree')], EXPR$6=[=($2, _UTF-16LE'D')], EXPR$7=[=($3, _UTF-16LE'Primary')], EXPR$9=[=($2, _UTF-16LE'U')], EXPR$10=[=($3, _UTF-16LE'Advanced Degree')])
- HiveFilter(condition=[AND(IN($2, _UTF-16LE'D', _UTF-16LE'M', _UTF-16LE'U'), IN($3, _UTF-16LE'4 yr Degree', _UTF-16LE'Advanced Degree', _UTF-16LE'Primary'))])
+ HiveProject(cd_demo_sk=[$0], EXPR$3=[=($2, 'M')], EXPR$4=[=($3, '4 yr Degree ')], EXPR$6=[=($2, 'D')], EXPR$7=[=($3, 'Primary ')], EXPR$9=[=($2, 'U')], EXPR$10=[=($3, 'Advanced Degree ')])
+ HiveFilter(condition=[AND(IN($2, 'D', 'M', 'U'), IN($3, '4 yr Degree ', 'Advanced Degree ', 'Primary '))])
HiveTableScan(table=[[default, customer_demographics]], table:alias=[customer_demographics])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query14.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query14.q.out
index 440e945b5701..491f70f9c6de 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query14.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query14.q.out
@@ -97,7 +97,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], dir0=[ASC], dir1=[
HiveAggregate(group=[{0, 1, 2, 3}], agg#0=[sum($4)], agg#1=[sum($5)])
HiveProject(channel=[$0], i_brand_id=[$1], i_class_id=[$2], i_category_id=[$3], sales=[$4], number_sales=[$5])
HiveUnion(all=[true])
- HiveProject(channel=[_UTF-16LE'store':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], i_brand_id=[$0], i_class_id=[$1], i_category_id=[$2], sales=[$3], number_sales=[$4])
+ HiveProject(channel=['store':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], i_brand_id=[$0], i_class_id=[$1], i_category_id=[$2], sales=[$3], number_sales=[$4])
HiveJoin(condition=[>($3, $5)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject($f0=[$0], $f1=[$1], $f2=[$2], $f3=[$3], $f4=[$4])
HiveFilter(condition=[IS NOT NULL($3)])
@@ -194,7 +194,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], dir0=[ASC], dir1=[
HiveProject(d_date_sk=[$0])
HiveFilter(condition=[AND(<=(1998, $6), <=($6, 2000))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
- HiveProject(channel=[_UTF-16LE'catalog':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], i_brand_id=[$0], i_class_id=[$1], i_category_id=[$2], sales=[$3], number_sales=[$4])
+ HiveProject(channel=['catalog':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], i_brand_id=[$0], i_class_id=[$1], i_category_id=[$2], sales=[$3], number_sales=[$4])
HiveJoin(condition=[>($3, $5)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject($f0=[$0], $f1=[$1], $f2=[$2], $f3=[$3], $f4=[$4])
HiveFilter(condition=[IS NOT NULL($3)])
@@ -288,7 +288,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], dir0=[ASC], dir1=[
HiveProject(d_date_sk=[$0])
HiveFilter(condition=[AND(<=(1998, $6), <=($6, 2000))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
- HiveProject(channel=[_UTF-16LE'web':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], i_brand_id=[$0], i_class_id=[$1], i_category_id=[$2], sales=[$3], number_sales=[$4])
+ HiveProject(channel=['web':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], i_brand_id=[$0], i_class_id=[$1], i_category_id=[$2], sales=[$3], number_sales=[$4])
HiveJoin(condition=[>($3, $5)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject($f0=[$0], $f1=[$1], $f2=[$2], $f3=[$3], $f4=[$4])
HiveFilter(condition=[IS NOT NULL($3)])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query15.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query15.q.out
index 63bd5b7fd814..63ecbe7b9be5 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query15.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query15.q.out
@@ -2,12 +2,12 @@ CBO PLAN:
HiveSortLimit(sort0=[$0], dir0=[ASC], fetch=[100])
HiveProject(ca_zip=[$0], _c1=[$1])
HiveAggregate(group=[{3}], agg#0=[sum($7)])
- HiveJoin(condition=[AND(=($6, $0), OR($4, $9, $5))], joinType=[inner], algorithm=[none], cost=[not available])
+ HiveJoin(condition=[AND(=($6, $0), OR($4, $5, $9))], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($1, $2)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(c_customer_sk=[$0], c_current_addr_sk=[$4])
HiveFilter(condition=[IS NOT NULL($4)])
HiveTableScan(table=[[default, customer]], table:alias=[customer])
- HiveProject(ca_address_sk=[$0], ca_zip=[$9], EXPR$0=[IN($8, _UTF-16LE'CA', _UTF-16LE'GA', _UTF-16LE'WA')], EXPR$1=[IN(substr($9, 1, 5), _UTF-16LE'85669':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'86197':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'88274':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'83405':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'86475':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'85392':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'85460':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'80348':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'81792':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")])
+ HiveProject(ca_address_sk=[$0], ca_zip=[$9], EXPR$0=[IN(substr($9, 1, 5), '80348':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '81792':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '83405':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '85392':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '85460':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '85669':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '86197':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '86475':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '88274':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")], EXPR$1=[IN($8, 'CA', 'GA', 'WA')])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveProject(cs_bill_customer_sk=[$0], cs_sales_price=[$1], cs_sold_date_sk=[$2], EXPR$0=[$3], d_date_sk=[$4])
HiveJoin(condition=[=($2, $4)], joinType=[inner], algorithm=[none], cost=[not available])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query16.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query16.q.out
index 4e9966445da8..457d9093e2f4 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query16.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query16.q.out
@@ -6,8 +6,8 @@ HiveProject(order count=[$0], total shipping cost=[$1], total net profit=[$2])
HiveProject(cs_ship_date_sk=[$2], cs_ship_addr_sk=[$3], cs_call_center_sk=[$4], cs_warehouse_sk=[$5], cs_order_number=[$6], cs_ext_ship_cost=[$7], cs_net_profit=[$8], d_date_sk=[$9], d_date=[$10], ca_address_sk=[$0], ca_state=[$1], cc_call_center_sk=[$11], cc_county=[$12])
HiveJoin(condition=[=($4, $11)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($3, $0)], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(ca_address_sk=[$0], ca_state=[CAST(_UTF-16LE'NY'):CHAR(2) CHARACTER SET "UTF-16LE"])
- HiveFilter(condition=[=($8, _UTF-16LE'NY')])
+ HiveProject(ca_address_sk=[$0], ca_state=[CAST('NY'):CHAR(2) CHARACTER SET "UTF-16LE"])
+ HiveFilter(condition=[=($8, 'NY')])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveJoin(condition=[=($0, $7)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(cs_ship_date_sk=[$1], cs_ship_addr_sk=[$9], cs_call_center_sk=[$10], cs_warehouse_sk=[$13], cs_order_number=[$16], cs_ext_ship_cost=[$27], cs_net_profit=[$32])
@@ -17,7 +17,7 @@ HiveProject(order count=[$0], total shipping cost=[$1], total net profit=[$2])
HiveFilter(condition=[BETWEEN(false, CAST($2):TIMESTAMP(9), 2001-04-01 00:00:00:TIMESTAMP(9), 2001-05-31 00:00:00:TIMESTAMP(9))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(cc_call_center_sk=[$0], cc_county=[$25])
- HiveFilter(condition=[IN($25, _UTF-16LE'Daviess County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Franklin Parish':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Huron County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Levy County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Ziebach County':VARCHAR(30) CHARACTER SET "UTF-16LE")])
+ HiveFilter(condition=[IN($25, 'Daviess County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Franklin Parish':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Huron County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Levy County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Ziebach County':VARCHAR(30) CHARACTER SET "UTF-16LE")])
HiveTableScan(table=[[default, call_center]], table:alias=[call_center])
HiveProject(cs_warehouse_sk=[$13], cs_order_number=[$16])
HiveFilter(condition=[IS NOT NULL($13)])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query17.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query17.q.out
index cbdc327d995a..deb86a5642f0 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query17.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query17.q.out
@@ -11,7 +11,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[ASC], dir1=[ASC], dir2=[
HiveFilter(condition=[AND(IS NOT NULL($2), IS NOT NULL($33))])
HiveTableScan(table=[[default, catalog_sales]], table:alias=[catalog_sales])
HiveProject(d_date_sk=[$0])
- HiveFilter(condition=[IN($15, _UTF-16LE'2000Q1', _UTF-16LE'2000Q2', _UTF-16LE'2000Q3')])
+ HiveFilter(condition=[IN($15, '2000Q1', '2000Q2', '2000Q3')])
HiveTableScan(table=[[default, date_dim]], table:alias=[d3])
HiveProject(ss_item_sk=[$0], ss_customer_sk=[$1], ss_store_sk=[$2], ss_ticket_number=[$3], ss_quantity=[$4], ss_sold_date_sk=[$5], d_date_sk=[$6], sr_item_sk=[$7], sr_customer_sk=[$8], sr_ticket_number=[$9], sr_return_quantity=[$10], sr_returned_date_sk=[$11], d_date_sk0=[$12])
HiveJoin(condition=[AND(=($1, $8), =($0, $7), =($3, $9))], joinType=[inner], algorithm=[none], cost=[not available])
@@ -20,7 +20,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[ASC], dir1=[ASC], dir2=[
HiveFilter(condition=[AND(IS NOT NULL($2), IS NOT NULL($6), IS NOT NULL($22))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
HiveProject(d_date_sk=[$0])
- HiveFilter(condition=[=($15, _UTF-16LE'2000Q1')])
+ HiveFilter(condition=[=($15, '2000Q1')])
HiveTableScan(table=[[default, date_dim]], table:alias=[d1])
HiveProject(sr_item_sk=[$0], sr_customer_sk=[$1], sr_ticket_number=[$2], sr_return_quantity=[$3], sr_returned_date_sk=[$4], d_date_sk=[$5])
HiveJoin(condition=[=($4, $5)], joinType=[inner], algorithm=[none], cost=[not available])
@@ -28,7 +28,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[ASC], dir1=[ASC], dir2=[
HiveFilter(condition=[AND(IS NOT NULL($2), IS NOT NULL($19))])
HiveTableScan(table=[[default, store_returns]], table:alias=[store_returns])
HiveProject(d_date_sk=[$0])
- HiveFilter(condition=[IN($15, _UTF-16LE'2000Q1', _UTF-16LE'2000Q2', _UTF-16LE'2000Q3')])
+ HiveFilter(condition=[IN($15, '2000Q1', '2000Q2', '2000Q3')])
HiveTableScan(table=[[default, date_dim]], table:alias=[d2])
HiveProject(s_store_sk=[$0], s_state=[$24])
HiveTableScan(table=[[default, store]], table:alias=[store])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query18.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query18.q.out
index 2acdb87cc00a..2af559040959 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query18.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query18.q.out
@@ -14,7 +14,7 @@ HiveSortLimit(sort0=[$1], sort1=[$2], sort2=[$3], sort3=[$0], dir0=[ASC], dir1=[
HiveFilter(condition=[=($6, 2001)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(cd_demo_sk=[$0], $f10=[CAST($6):DECIMAL(12, 2)])
- HiveFilter(condition=[AND(=($1, _UTF-16LE'M'), =($3, _UTF-16LE'College '))])
+ HiveFilter(condition=[AND(=($1, 'M'), =($3, 'College '))])
HiveTableScan(table=[[default, customer_demographics]], table:alias=[cd1])
HiveProject(c_customer_sk=[$0], c_current_cdemo_sk=[$1], c_current_addr_sk=[$2], $f9=[$3], ca_address_sk=[$4], ca_county=[$5], ca_state=[$6], ca_country=[$7])
HiveJoin(condition=[=($2, $4)], joinType=[inner], algorithm=[none], cost=[not available])
@@ -22,7 +22,7 @@ HiveSortLimit(sort0=[$1], sort1=[$2], sort2=[$3], sort3=[$0], dir0=[ASC], dir1=[
HiveFilter(condition=[AND(IN($12, 1, 4, 5, 9, 10, 12), IS NOT NULL($2), IS NOT NULL($4))])
HiveTableScan(table=[[default, customer]], table:alias=[customer])
HiveProject(ca_address_sk=[$0], ca_county=[$7], ca_state=[$8], ca_country=[$10])
- HiveFilter(condition=[IN($8, _UTF-16LE'AL', _UTF-16LE'MS', _UTF-16LE'NC', _UTF-16LE'ND', _UTF-16LE'OK', _UTF-16LE'TN', _UTF-16LE'WI')])
+ HiveFilter(condition=[IN($8, 'AL', 'MS', 'NC', 'ND', 'OK', 'TN', 'WI')])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveProject(i_item_sk=[$0], i_item_id=[$1])
HiveTableScan(table=[[default, item]], table:alias=[item])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query2.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query2.q.out
index 2be4a3993fd9..b1abc5469daf 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query2.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query2.q.out
@@ -9,7 +9,7 @@ HiveAggregate(group=[{0}], agg#0=[sum($1)], agg#1=[sum($2)], agg#2=[sum($3)], ag
HiveProject(sold_date_sk=[$33], sales_price=[$22])
HiveFilter(condition=[IS NOT NULL($33)])
HiveTableScan(table=[[default, catalog_sales]], table:alias=[catalog_sales])
- HiveProject(d_date_sk=[$0], d_week_seq=[$4], EXPR$0=[=($14, _UTF-16LE'Sunday ')], EXPR$1=[=($14, _UTF-16LE'Monday ')], EXPR$2=[=($14, _UTF-16LE'Tuesday ')], EXPR$3=[=($14, _UTF-16LE'Wednesday')], EXPR$4=[=($14, _UTF-16LE'Thursday ')], EXPR$5=[=($14, _UTF-16LE'Friday ')], EXPR$6=[=($14, _UTF-16LE'Saturday ')])
+ HiveProject(d_date_sk=[$0], d_week_seq=[$4], EXPR$0=[=($14, 'Sunday ')], EXPR$1=[=($14, 'Monday ')], EXPR$2=[=($14, 'Tuesday ')], EXPR$3=[=($14, 'Wednesday')], EXPR$4=[=($14, 'Thursday ')], EXPR$5=[=($14, 'Friday ')], EXPR$6=[=($14, 'Saturday ')])
HiveFilter(condition=[IS NOT NULL($4)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
@@ -30,7 +30,7 @@ HiveSortLimit(sort0=[$0], dir0=[ASC])
HiveProject(sold_date_sk=[$33], sales_price=[$22])
HiveFilter(condition=[IS NOT NULL($33)])
HiveTableScan(table=[[default, catalog_sales]], table:alias=[catalog_sales])
- HiveProject(d_date_sk=[$0], d_week_seq=[$4], EXPR$0=[=($14, _UTF-16LE'Sunday ')], EXPR$1=[=($14, _UTF-16LE'Monday ')], EXPR$2=[=($14, _UTF-16LE'Tuesday ')], EXPR$3=[=($14, _UTF-16LE'Wednesday')], EXPR$4=[=($14, _UTF-16LE'Thursday ')], EXPR$5=[=($14, _UTF-16LE'Friday ')], EXPR$6=[=($14, _UTF-16LE'Saturday ')])
+ HiveProject(d_date_sk=[$0], d_week_seq=[$4], EXPR$0=[=($14, 'Sunday ')], EXPR$1=[=($14, 'Monday ')], EXPR$2=[=($14, 'Tuesday ')], EXPR$3=[=($14, 'Wednesday')], EXPR$4=[=($14, 'Thursday ')], EXPR$5=[=($14, 'Friday ')], EXPR$6=[=($14, 'Saturday ')])
HiveFilter(condition=[IS NOT NULL($4)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(d_week_seq=[$4])
@@ -50,7 +50,7 @@ HiveSortLimit(sort0=[$0], dir0=[ASC])
HiveProject(sold_date_sk=[$33], sales_price=[$22])
HiveFilter(condition=[IS NOT NULL($33)])
HiveTableScan(table=[[default, catalog_sales]], table:alias=[catalog_sales])
- HiveProject(d_date_sk=[$0], d_week_seq=[$4], EXPR$0=[=($14, _UTF-16LE'Sunday ')], EXPR$1=[=($14, _UTF-16LE'Monday ')], EXPR$2=[=($14, _UTF-16LE'Tuesday ')], EXPR$3=[=($14, _UTF-16LE'Wednesday')], EXPR$4=[=($14, _UTF-16LE'Thursday ')], EXPR$5=[=($14, _UTF-16LE'Friday ')], EXPR$6=[=($14, _UTF-16LE'Saturday ')])
+ HiveProject(d_date_sk=[$0], d_week_seq=[$4], EXPR$0=[=($14, 'Sunday ')], EXPR$1=[=($14, 'Monday ')], EXPR$2=[=($14, 'Tuesday ')], EXPR$3=[=($14, 'Wednesday')], EXPR$4=[=($14, 'Thursday ')], EXPR$5=[=($14, 'Friday ')], EXPR$6=[=($14, 'Saturday ')])
HiveFilter(condition=[IS NOT NULL($4)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(d_week_seq=[$4])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query20.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query20.q.out
index c96f9bdb6b8e..bb9c51b7e23e 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query20.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query20.q.out
@@ -12,6 +12,6 @@ HiveProject(i_item_desc=[$0], i_category=[$1], i_class=[$2], i_current_price=[$3
HiveFilter(condition=[BETWEEN(false, CAST($2):TIMESTAMP(9), 2001-01-12 00:00:00:TIMESTAMP(9), 2001-02-11 00:00:00:TIMESTAMP(9))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(i_item_sk=[$0], i_item_id=[$1], i_item_desc=[$4], i_current_price=[$5], i_class=[$10], i_category=[$12])
- HiveFilter(condition=[IN($12, _UTF-16LE'Books', _UTF-16LE'Jewelry', _UTF-16LE'Sports')])
+ HiveFilter(condition=[IN($12, 'Books ', 'Jewelry ', 'Sports ')])
HiveTableScan(table=[[default, item]], table:alias=[item])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query21.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query21.q.out
index a6d2b3e4911c..50d33992dc6d 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query21.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query21.q.out
@@ -1,7 +1,7 @@
CBO PLAN:
HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveProject(x.w_warehouse_name=[$0], x.i_item_id=[$1], x.inv_before=[$2], x.inv_after=[$3])
- HiveFilter(condition=[AND(CASE(>($2, 0), <=(6.66667E-1, /(CAST($3):DOUBLE, CAST($2):DOUBLE)), false), CASE(>($2, 0), <=(/(CAST($3):DOUBLE, CAST($2):DOUBLE), 1.5E0), false))])
+ HiveFilter(condition=[AND(CASE(>($2, 0), <=(0.666667E0, /(CAST($3):DOUBLE, CAST($2):DOUBLE)), false), CASE(>($2, 0), <=(/(CAST($3):DOUBLE, CAST($2):DOUBLE), 1.5E0), false))])
HiveAggregate(group=[{0, 1}], agg#0=[sum($2)], agg#1=[sum($3)])
HiveProject($f0=[$1], $f1=[$10], $f2=[CASE($7, $5, 0)], $f3=[CASE($8, $5, 0)])
HiveJoin(condition=[=($4, $0)], joinType=[inner], algorithm=[none], cost=[not available])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query23.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query23.q.out
index f4618767652b..9b1db0f22248 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query23.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query23.q.out
@@ -22,7 +22,7 @@ HiveProject(c_customer_sk=[$0])
HiveProject(ss_customer_sk=[CAST($2):BIGINT NOT NULL], $f1=[*(CAST($9):DECIMAL(10, 0), $12)])
HiveFilter(condition=[IS NOT NULL($2)])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
- HiveProject(EXPR$0=[*(0.95:DECIMAL(16, 6), $0)])
+ HiveProject(EXPR$0=[*(0.950000:DECIMAL(16, 6), $0)])
HiveFilter(condition=[IS NOT NULL($0)])
HiveAggregate(group=[{}], agg#0=[max($1)])
HiveAggregate(group=[{1}], agg#0=[sum($2)])
@@ -80,7 +80,7 @@ HiveProject(_c0=[$0])
HiveProject(ss_customer_sk=[CAST($2):BIGINT NOT NULL], $f1=[*(CAST($9):DECIMAL(10, 0), $12)])
HiveFilter(condition=[IS NOT NULL($2)])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
- HiveProject(EXPR$0=[*(0.95:DECIMAL(16, 6), $0)])
+ HiveProject(EXPR$0=[*(0.950000:DECIMAL(16, 6), $0)])
HiveFilter(condition=[IS NOT NULL($0)])
HiveProject($f0=[$0])
HiveAggregate(group=[{}], agg#0=[max($1)])
@@ -124,7 +124,7 @@ HiveProject(_c0=[$0])
HiveProject(ss_customer_sk=[CAST($2):BIGINT NOT NULL], $f1=[*(CAST($9):DECIMAL(10, 0), $12)])
HiveFilter(condition=[IS NOT NULL($2)])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
- HiveProject(EXPR$0=[*(0.95:DECIMAL(16, 6), $0)])
+ HiveProject(EXPR$0=[*(0.950000:DECIMAL(16, 6), $0)])
HiveFilter(condition=[IS NOT NULL($0)])
HiveProject($f0=[$0])
HiveAggregate(group=[{}], agg#0=[max($1)])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query24.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query24.q.out
index efebab39cda5..c55930fdbfa4 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query24.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query24.q.out
@@ -52,7 +52,7 @@ HiveProject(c_last_name=[$0], c_first_name=[$1], s_store_name=[$2], paid=[$3])
HiveFilter(condition=[AND(=($10, 7), IS NOT NULL($25))])
HiveTableScan(table=[[default, store]], table:alias=[store])
HiveProject(i_item_sk=[$0], i_current_price=[$5], i_size=[$15], i_units=[$18], i_manager_id=[$20])
- HiveFilter(condition=[=($17, _UTF-16LE'orchid ')])
+ HiveFilter(condition=[=($17, 'orchid ')])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(_o__c0=[*(0.05:DECIMAL(2, 2), CAST(/($0, $1)):DECIMAL(21, 6))])
HiveFilter(condition=[IS NOT NULL(CAST(/($0, $1)):DECIMAL(21, 6))])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query26.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query26.q.out
index dda45cc67163..0ac6eb5e41ed 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query26.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query26.q.out
@@ -13,10 +13,10 @@ HiveSortLimit(sort0=[$0], dir0=[ASC], fetch=[100])
HiveFilter(condition=[=($6, 1998)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(cd_demo_sk=[$0])
- HiveFilter(condition=[AND(=($2, _UTF-16LE'W'), =($1, _UTF-16LE'F'), =($3, _UTF-16LE'Primary '))])
+ HiveFilter(condition=[AND(=($2, 'W'), =($1, 'F'), =($3, 'Primary '))])
HiveTableScan(table=[[default, customer_demographics]], table:alias=[customer_demographics])
HiveProject(p_promo_sk=[$0])
- HiveFilter(condition=[OR(=($9, _UTF-16LE'N'), =($14, _UTF-16LE'N'))])
+ HiveFilter(condition=[OR(=($9, 'N'), =($14, 'N'))])
HiveTableScan(table=[[default, promotion]], table:alias=[promotion])
HiveProject(i_item_sk=[$0], i_item_id=[$1])
HiveTableScan(table=[[default, item]], table:alias=[item])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query27.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query27.q.out
index b3a723cd05cb..51cdedd15423 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query27.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query27.q.out
@@ -14,10 +14,10 @@ HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveFilter(condition=[=($6, 2001)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(cd_demo_sk=[$0])
- HiveFilter(condition=[AND(=($2, _UTF-16LE'U'), =($1, _UTF-16LE'M'), =($3, _UTF-16LE'2 yr Degree '))])
+ HiveFilter(condition=[AND(=($2, 'U'), =($1, 'M'), =($3, '2 yr Degree '))])
HiveTableScan(table=[[default, customer_demographics]], table:alias=[customer_demographics])
HiveProject(s_store_sk=[$0], s_state=[$24])
- HiveFilter(condition=[IN($24, _UTF-16LE'FL', _UTF-16LE'LA', _UTF-16LE'MI', _UTF-16LE'MO', _UTF-16LE'SC', _UTF-16LE'SD')])
+ HiveFilter(condition=[IN($24, 'FL', 'LA', 'MI', 'MO', 'SC', 'SD')])
HiveTableScan(table=[[default, store]], table:alias=[store])
HiveProject(i_item_sk=[$0], i_item_id=[$1])
HiveTableScan(table=[[default, item]], table:alias=[item])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query28.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query28.q.out
index ede33acc5e69..9d4087142c5f 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query28.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query28.q.out
@@ -12,26 +12,26 @@ HiveProject(b1.b1_lp=[$0], b1.b1_cnt=[$1], b1.b1_cntd=[$2], b2.b2_lp=[$15], b2.b
HiveJoin(condition=[true], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(b1_lp=[CAST(/($0, $1)):DECIMAL(11, 6)], b1_cnt=[$1], b1_cntd=[$2])
HiveAggregate(group=[{}], agg#0=[sum($11)], agg#1=[count($11)], agg#2=[count(DISTINCT $11)])
- HiveFilter(condition=[AND(BETWEEN(false, $9, 0, 5), OR(BETWEEN(false, $11, 11:DECIMAL(12, 2), 21:DECIMAL(12, 2)), BETWEEN(false, $18, 460:DECIMAL(12, 2), 1460:DECIMAL(12, 2)), BETWEEN(false, $10, 14:DECIMAL(12, 2), 34:DECIMAL(12, 2))))])
+ HiveFilter(condition=[AND(BETWEEN(false, $9, 0, 5), OR(BETWEEN(false, $11, 11.00:DECIMAL(12, 2), 21.00:DECIMAL(12, 2)), BETWEEN(false, $18, 460.00:DECIMAL(12, 2), 1460.00:DECIMAL(12, 2)), BETWEEN(false, $10, 14.00:DECIMAL(12, 2), 34.00:DECIMAL(12, 2))))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
HiveProject(b6_lp=[CAST(/($0, $1)):DECIMAL(11, 6)], b6_cnt=[$1], b6_cntd=[$2])
HiveAggregate(group=[{}], agg#0=[sum($11)], agg#1=[count($11)], agg#2=[count(DISTINCT $11)])
- HiveFilter(condition=[AND(BETWEEN(false, $9, 26, 30), OR(BETWEEN(false, $11, 28:DECIMAL(12, 2), 38:DECIMAL(12, 2)), BETWEEN(false, $18, 2513:DECIMAL(12, 2), 3513:DECIMAL(12, 2)), BETWEEN(false, $10, 42:DECIMAL(12, 2), 62:DECIMAL(12, 2))))])
+ HiveFilter(condition=[AND(BETWEEN(false, $9, 26, 30), OR(BETWEEN(false, $11, 28.00:DECIMAL(12, 2), 38.00:DECIMAL(12, 2)), BETWEEN(false, $18, 2513.00:DECIMAL(12, 2), 3513.00:DECIMAL(12, 2)), BETWEEN(false, $10, 42.00:DECIMAL(12, 2), 62.00:DECIMAL(12, 2))))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
HiveProject(b5_lp=[CAST(/($0, $1)):DECIMAL(11, 6)], b5_cnt=[$1], b5_cntd=[$2])
HiveAggregate(group=[{}], agg#0=[sum($11)], agg#1=[count($11)], agg#2=[count(DISTINCT $11)])
- HiveFilter(condition=[AND(BETWEEN(false, $9, 21, 25), OR(BETWEEN(false, $11, 135:DECIMAL(12, 2), 145:DECIMAL(12, 2)), BETWEEN(false, $18, 14180:DECIMAL(12, 2), 15180:DECIMAL(12, 2)), BETWEEN(false, $10, 38:DECIMAL(12, 2), 58:DECIMAL(12, 2))))])
+ HiveFilter(condition=[AND(BETWEEN(false, $9, 21, 25), OR(BETWEEN(false, $11, 135.00:DECIMAL(12, 2), 145.00:DECIMAL(12, 2)), BETWEEN(false, $18, 14180.00:DECIMAL(12, 2), 15180.00:DECIMAL(12, 2)), BETWEEN(false, $10, 38.00:DECIMAL(12, 2), 58.00:DECIMAL(12, 2))))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
HiveProject(b4_lp=[CAST(/($0, $1)):DECIMAL(11, 6)], b4_cnt=[$1], b4_cntd=[$2])
HiveAggregate(group=[{}], agg#0=[sum($11)], agg#1=[count($11)], agg#2=[count(DISTINCT $11)])
- HiveFilter(condition=[AND(BETWEEN(false, $9, 16, 20), OR(BETWEEN(false, $11, 142:DECIMAL(12, 2), 152:DECIMAL(12, 2)), BETWEEN(false, $18, 3054:DECIMAL(12, 2), 4054:DECIMAL(12, 2)), BETWEEN(false, $10, 80:DECIMAL(12, 2), 100:DECIMAL(12, 2))))])
+ HiveFilter(condition=[AND(BETWEEN(false, $9, 16, 20), OR(BETWEEN(false, $11, 142.00:DECIMAL(12, 2), 152.00:DECIMAL(12, 2)), BETWEEN(false, $18, 3054.00:DECIMAL(12, 2), 4054.00:DECIMAL(12, 2)), BETWEEN(false, $10, 80.00:DECIMAL(12, 2), 100.00:DECIMAL(12, 2))))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
HiveProject(b3_lp=[CAST(/($0, $1)):DECIMAL(11, 6)], b3_cnt=[$1], b3_cntd=[$2])
HiveAggregate(group=[{}], agg#0=[sum($11)], agg#1=[count($11)], agg#2=[count(DISTINCT $11)])
- HiveFilter(condition=[AND(BETWEEN(false, $9, 11, 15), OR(BETWEEN(false, $11, 66:DECIMAL(12, 2), 76:DECIMAL(12, 2)), BETWEEN(false, $18, 920:DECIMAL(12, 2), 1920:DECIMAL(12, 2)), BETWEEN(false, $10, 4:DECIMAL(12, 2), 24:DECIMAL(12, 2))))])
+ HiveFilter(condition=[AND(BETWEEN(false, $9, 11, 15), OR(BETWEEN(false, $11, 66.00:DECIMAL(12, 2), 76.00:DECIMAL(12, 2)), BETWEEN(false, $18, 920.00:DECIMAL(12, 2), 1920.00:DECIMAL(12, 2)), BETWEEN(false, $10, 4.00:DECIMAL(12, 2), 24.00:DECIMAL(12, 2))))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
HiveProject(b2_lp=[CAST(/($0, $1)):DECIMAL(11, 6)], b2_cnt=[$1], b2_cntd=[$2])
HiveAggregate(group=[{}], agg#0=[sum($11)], agg#1=[count($11)], agg#2=[count(DISTINCT $11)])
- HiveFilter(condition=[AND(BETWEEN(false, $9, 6, 10), OR(BETWEEN(false, $11, 91:DECIMAL(12, 2), 101:DECIMAL(12, 2)), BETWEEN(false, $18, 1430:DECIMAL(12, 2), 2430:DECIMAL(12, 2)), BETWEEN(false, $10, 32:DECIMAL(12, 2), 52:DECIMAL(12, 2))))])
+ HiveFilter(condition=[AND(BETWEEN(false, $9, 6, 10), OR(BETWEEN(false, $11, 91.00:DECIMAL(12, 2), 101.00:DECIMAL(12, 2)), BETWEEN(false, $18, 1430.00:DECIMAL(12, 2), 2430.00:DECIMAL(12, 2)), BETWEEN(false, $10, 32.00:DECIMAL(12, 2), 52.00:DECIMAL(12, 2))))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query30.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query30.q.out
index 5efe49ea7df1..dff10565081f 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query30.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query30.q.out
@@ -18,7 +18,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], sort4=[$4], sort5=
HiveFilter(condition=[IS NOT NULL($4)])
HiveTableScan(table=[[default, customer]], table:alias=[customer])
HiveProject(ca_address_sk=[$0])
- HiveFilter(condition=[=($8, _UTF-16LE'IL')])
+ HiveFilter(condition=[=($8, 'IL')])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveProject(wr_returning_customer_sk=[$0], ca_state=[$1], $f2=[$2])
HiveFilter(condition=[IS NOT NULL($2)])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query33.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query33.q.out
index 28eca731c89f..9b0ed9f460e6 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query33.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query33.q.out
@@ -1,5 +1,5 @@
CTE Suggestion:
-HiveProject(ca_address_sk=[$0], ca_gmt_offset=[CAST(-6:DECIMAL(5, 2)):DECIMAL(5, 2)])
+HiveProject(ca_address_sk=[$0], ca_gmt_offset=[CAST(-6.00:DECIMAL(5, 2)):DECIMAL(5, 2)])
HiveFilter(condition=[=($11, -6:DECIMAL(1, 0))])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
@@ -15,7 +15,7 @@ HiveProject(i_item_sk=[$0], i_manufact_id=[$13])
CTE Suggestion:
HiveProject(i_manufact_id=[$13])
- HiveFilter(condition=[AND(=($12, _UTF-16LE'Books '), IS NOT NULL($13))])
+ HiveFilter(condition=[AND(=($12, 'Books '), IS NOT NULL($13))])
HiveTableScan(table=[[default, item]], table:alias=[item])
CBO PLAN:
@@ -38,7 +38,7 @@ HiveSortLimit(sort0=[$1], dir0=[ASC], fetch=[100])
HiveFilter(condition=[AND(=($6, 1999), =($8, 3))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveTableSpool(table=[[cte, cte_suggestion_0]])
- HiveProject(ca_address_sk=[$0], ca_gmt_offset=[CAST(-6:DECIMAL(5, 2)):DECIMAL(5, 2)])
+ HiveProject(ca_address_sk=[$0], ca_gmt_offset=[CAST(-6.00:DECIMAL(5, 2)):DECIMAL(5, 2)])
HiveFilter(condition=[=($11, -6:DECIMAL(1, 0))])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveTableSpool(table=[[cte, cte_suggestion_2]])
@@ -47,7 +47,7 @@ HiveSortLimit(sort0=[$1], dir0=[ASC], fetch=[100])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveTableSpool(table=[[cte, cte_suggestion_3]])
HiveProject(i_manufact_id=[$13])
- HiveFilter(condition=[AND(=($12, _UTF-16LE'Books '), IS NOT NULL($13))])
+ HiveFilter(condition=[AND(=($12, 'Books '), IS NOT NULL($13))])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(i_manufact_id=[$0], $f1=[$1])
HiveAggregate(group=[{10}], agg#0=[sum($2)])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query34.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query34.q.out
index 3df017c39ccb..aa62b77134c5 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query34.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query34.q.out
@@ -18,9 +18,9 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], dir0=[ASC], dir1=[
HiveFilter(condition=[AND(IN($6, 2000, 2001, 2002), OR(BETWEEN(false, $9, 1, 3), BETWEEN(false, $9, 25, 28)))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(hd_demo_sk=[$0])
- HiveFilter(condition=[AND(>($4, 0), IN($2, _UTF-16LE'>10000', _UTF-16LE'unknown'), CASE(>($4, 0), >(/(CAST($3):DOUBLE, CAST($4):DOUBLE), 1.2), false))])
+ HiveFilter(condition=[AND(>($4, 0), IN($2, '>10000 ', 'unknown '), CASE(>($4, 0), >(/(CAST($3):DOUBLE, CAST($4):DOUBLE), 1.2E0), false))])
HiveTableScan(table=[[default, household_demographics]], table:alias=[household_demographics])
HiveProject(s_store_sk=[$0])
- HiveFilter(condition=[IN($23, _UTF-16LE'Barrow County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Fairfield County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Huron County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Jackson County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Kittitas County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Maverick County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Mobile County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Pennington County':VARCHAR(30) CHARACTER SET "UTF-16LE")])
+ HiveFilter(condition=[IN($23, 'Barrow County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Fairfield County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Huron County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Jackson County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Kittitas County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Maverick County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Mobile County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Pennington County':VARCHAR(30) CHARACTER SET "UTF-16LE")])
HiveTableScan(table=[[default, store]], table:alias=[store])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query36.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query36.q.out
index ec7dc0021f08..374ed9a0d64c 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query36.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query36.q.out
@@ -15,7 +15,7 @@ HiveProject(gross_margin=[$0], i_category=[$1], i_class=[$2], lochierarchy=[$3],
HiveFilter(condition=[=($6, 1999)])
HiveTableScan(table=[[default, date_dim]], table:alias=[d1])
HiveProject(s_store_sk=[$0])
- HiveFilter(condition=[IN($24, _UTF-16LE'AL', _UTF-16LE'FL', _UTF-16LE'GA', _UTF-16LE'LA', _UTF-16LE'MI', _UTF-16LE'MO', _UTF-16LE'SC', _UTF-16LE'SD')])
+ HiveFilter(condition=[IN($24, 'AL', 'FL', 'GA', 'LA', 'MI', 'MO', 'SC', 'SD')])
HiveTableScan(table=[[default, store]], table:alias=[store])
HiveProject(i_item_sk=[$0], i_class=[$10], i_category=[$12])
HiveTableScan(table=[[default, item]], table:alias=[item])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query37.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query37.q.out
index e2ad185eef6f..622a9bea267a 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query37.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query37.q.out
@@ -11,7 +11,7 @@ HiveSortLimit(sort0=[$0], dir0=[ASC], fetch=[100])
HiveFilter(condition=[BETWEEN(false, $3, 100, 500)])
HiveTableScan(table=[[default, inventory]], table:alias=[inventory])
HiveProject(i_item_sk=[$0], i_item_id=[$1], i_item_desc=[$4], i_current_price=[$5])
- HiveFilter(condition=[AND(IN($13, 678, 849, 918, 964), BETWEEN(false, $5, 22:DECIMAL(12, 2), 52:DECIMAL(12, 2)))])
+ HiveFilter(condition=[AND(IN($13, 678, 849, 918, 964), BETWEEN(false, $5, 22.00:DECIMAL(12, 2), 52.00:DECIMAL(12, 2)))])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(d_date_sk=[$0])
HiveFilter(condition=[BETWEEN(false, CAST($2):TIMESTAMP(9), 2001-06-02 00:00:00:TIMESTAMP(9), 2001-08-01 00:00:00:TIMESTAMP(9))])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query39.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query39.q.out
index 39c458003a1c..585c2eec16c0 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query39.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query39.q.out
@@ -3,8 +3,8 @@ HiveProject(inv1.w_warehouse_sk=[$0], inv1.i_item_sk=[$1], inv1.d_moy=[CAST(4):I
HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], sort4=[$6], sort5=[$7], dir0=[ASC], dir1=[ASC], dir2=[ASC], dir3=[ASC], dir4=[ASC], dir5=[ASC])
HiveProject(w_warehouse_sk=[$0], i_item_sk=[$1], mean=[$6], cov=[$7], w_warehouse_sk0=[$0], i_item_sk0=[$1], mean0=[$2], cov0=[$3])
HiveJoin(condition=[AND(=($4, $0), =($5, $1))], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(w_warehouse_sk=[$0], i_item_sk=[$1], mean=[/(CAST($5):DOUBLE, $6)], cov=[CASE(=(/(CAST($5):DOUBLE, $6), 0E0), null:DOUBLE, /(POWER(/(-($2, /(*($3, $3), $4)), CASE(=($4, 1), null:BIGINT, -($4, 1))), 0.5:DECIMAL(2, 1)), /(CAST($5):DOUBLE, $6)))])
- HiveFilter(condition=[CASE(=(/(CAST($5):DOUBLE, $6), 0E0), false, >(/(POWER(/(-($2, /(*($3, $3), $4)), CASE(=($4, 1), null:BIGINT, -($4, 1))), 0.5:DECIMAL(2, 1)), /(CAST($5):DOUBLE, $6)), 1))])
+ HiveProject(w_warehouse_sk=[$0], i_item_sk=[$1], mean=[/(CAST($5):DOUBLE, $6)], cov=[CASE(=(/(CAST($5):DOUBLE, $6), 0.0E0), null:DOUBLE, /(POWER(/(-($2, /(*($3, $3), $4)), CASE(=($4, 1), null:BIGINT, -($4, 1))), 0.5:DECIMAL(2, 1)), /(CAST($5):DOUBLE, $6)))])
+ HiveFilter(condition=[CASE(=(/(CAST($5):DOUBLE, $6), 0.0E0), false, >(/(POWER(/(-($2, /(*($3, $3), $4)), CASE(=($4, 1), null:BIGINT, -($4, 1))), 0.5:DECIMAL(2, 1)), /(CAST($5):DOUBLE, $6)), 1.0E0))])
HiveAggregate(group=[{1, 2}], agg#0=[sum($5)], agg#1=[sum($4)], agg#2=[count($4)], agg#3=[sum($3)], agg#4=[count($3)])
HiveProject($f0=[$6], $f1=[$5], $f2=[$3], $f4=[$2], $f40=[CAST($2):DOUBLE], $f6=[*(CAST($2):DOUBLE, CAST($2):DOUBLE)])
HiveJoin(condition=[=($1, $5)], joinType=[inner], algorithm=[none], cost=[not available])
@@ -16,8 +16,8 @@ HiveProject(inv1.w_warehouse_sk=[$0], inv1.i_item_sk=[$1], inv1.d_moy=[CAST(4):I
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(w_warehouse_sk=[$0], w_warehouse_name=[$2])
HiveTableScan(table=[[default, warehouse]], table:alias=[warehouse])
- HiveProject(w_warehouse_sk=[$0], i_item_sk=[$1], mean=[/(CAST($5):DOUBLE, $6)], cov=[CASE(=(/(CAST($5):DOUBLE, $6), 0E0), null:DOUBLE, /(POWER(/(-($2, /(*($3, $3), $4)), CASE(=($4, 1), null:BIGINT, -($4, 1))), 0.5:DECIMAL(2, 1)), /(CAST($5):DOUBLE, $6)))])
- HiveFilter(condition=[CASE(=(/(CAST($5):DOUBLE, $6), 0E0), false, >(/(POWER(/(-($2, /(*($3, $3), $4)), CASE(=($4, 1), null:BIGINT, -($4, 1))), 0.5:DECIMAL(2, 1)), /(CAST($5):DOUBLE, $6)), 1))])
+ HiveProject(w_warehouse_sk=[$0], i_item_sk=[$1], mean=[/(CAST($5):DOUBLE, $6)], cov=[CASE(=(/(CAST($5):DOUBLE, $6), 0.0E0), null:DOUBLE, /(POWER(/(-($2, /(*($3, $3), $4)), CASE(=($4, 1), null:BIGINT, -($4, 1))), 0.5:DECIMAL(2, 1)), /(CAST($5):DOUBLE, $6)))])
+ HiveFilter(condition=[CASE(=(/(CAST($5):DOUBLE, $6), 0.0E0), false, >(/(POWER(/(-($2, /(*($3, $3), $4)), CASE(=($4, 1), null:BIGINT, -($4, 1))), 0.5:DECIMAL(2, 1)), /(CAST($5):DOUBLE, $6)), 1.0E0))])
HiveAggregate(group=[{1, 2}], agg#0=[sum($5)], agg#1=[sum($4)], agg#2=[count($4)], agg#3=[sum($3)], agg#4=[count($3)])
HiveProject($f0=[$6], $f1=[$5], $f2=[$3], $f4=[$2], $f40=[CAST($2):DOUBLE], $f6=[*(CAST($2):DOUBLE, CAST($2):DOUBLE)])
HiveJoin(condition=[=($1, $5)], joinType=[inner], algorithm=[none], cost=[not available])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query40.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query40.q.out
index 582967b597c1..313eb534ba72 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query40.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query40.q.out
@@ -2,7 +2,7 @@ CBO PLAN:
HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveProject(w_state=[$0], i_item_id=[$1], sales_before=[$2], sales_after=[$3])
HiveAggregate(group=[{0, 1}], agg#0=[sum($2)], agg#1=[sum($3)])
- HiveProject($f0=[$14], $f1=[$12], $f2=[CASE($9, -($3, CASE(IS NOT NULL($7), $7, 0:DECIMAL(12, 2))), 0:DECIMAL(13, 2))], $f3=[CASE($10, -($3, CASE(IS NOT NULL($7), $7, 0:DECIMAL(12, 2))), 0:DECIMAL(13, 2))])
+ HiveProject($f0=[$14], $f1=[$12], $f2=[CASE($9, -($3, CASE(IS NOT NULL($7), $7, 0.00:DECIMAL(12, 2))), 0.00:DECIMAL(13, 2))], $f3=[CASE($10, -($3, CASE(IS NOT NULL($7), $7, 0.00:DECIMAL(12, 2))), 0.00:DECIMAL(13, 2))])
HiveJoin(condition=[=($0, $13)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($11, $1)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($4, $8)], joinType=[inner], algorithm=[none], cost=[not available])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query41.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query41.q.out
index b91ec1153e8a..e045f95dbfa5 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query41.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query41.q.out
@@ -9,6 +9,6 @@ HiveSortLimit(sort0=[$0], dir0=[ASC], fetch=[100])
HiveProject(i_manufact=[$0])
HiveFilter(condition=[>($1, 0)])
HiveAggregate(group=[{14}], agg#0=[count()])
- HiveFilter(condition=[AND(OR(AND(=($12, _UTF-16LE'Women'), IN($17, _UTF-16LE'frosted', _UTF-16LE'rose'), IN($18, _UTF-16LE'Gross', _UTF-16LE'Lb'), IN($15, _UTF-16LE'large', _UTF-16LE'medium')), AND(=($12, _UTF-16LE'Women'), IN($17, _UTF-16LE'black', _UTF-16LE'chocolate'), IN($18, _UTF-16LE'Box', _UTF-16LE'Dram'), IN($15, _UTF-16LE'economy', _UTF-16LE'petite')), AND(=($12, _UTF-16LE'Men'), IN($17, _UTF-16LE'magenta', _UTF-16LE'slate'), IN($18, _UTF-16LE'Bundle', _UTF-16LE'Carton'), IN($15, _UTF-16LE'N/A', _UTF-16LE'small')), AND(=($12, _UTF-16LE'Men'), IN($17, _UTF-16LE'cornflower', _UTF-16LE'firebrick'), IN($18, _UTF-16LE'Oz', _UTF-16LE'Pound'), IN($15, _UTF-16LE'large', _UTF-16LE'medium')), AND(=($12, _UTF-16LE'Women'), IN($17, _UTF-16LE'almond', _UTF-16LE'steel'), IN($18, _UTF-16LE'Case', _UTF-16LE'Tsp'), IN($15, _UTF-16LE'large', _UTF-16LE'medium')), AND(=($12, _UTF-16LE'Women'), IN($17, _UTF-16LE'aquamarine', _UTF-16LE'purple'), IN($18, _UTF-16LE'Bunch', _UTF-16LE'Gram'), IN($15, _UTF-16LE'economy', _UTF-16LE'petite')), AND(=($12, _UTF-16LE'Men'), IN($17, _UTF-16LE'lavender', _UTF-16LE'papaya'), IN($18, _UTF-16LE'Cup', _UTF-16LE'Pallet'), IN($15, _UTF-16LE'N/A', _UTF-16LE'small')), AND(=($12, _UTF-16LE'Men'), IN($17, _UTF-16LE'cyan', _UTF-16LE'maroon'), IN($18, _UTF-16LE'Each', _UTF-16LE'N/A'), IN($15, _UTF-16LE'large', _UTF-16LE'medium'))), IS NOT NULL($14))])
+ HiveFilter(condition=[AND(OR(AND(=($12, 'Women '), IN($17, 'frosted ', 'rose '), IN($18, 'Gross ', 'Lb '), IN($15, 'large ', 'medium ')), AND(=($12, 'Women '), IN($17, 'black ', 'chocolate '), IN($18, 'Box ', 'Dram '), IN($15, 'economy ', 'petite ')), AND(=($12, 'Men '), IN($17, 'magenta ', 'slate '), IN($18, 'Bundle ', 'Carton '), IN($15, 'N/A ', 'small ')), AND(=($12, 'Men '), IN($17, 'cornflower ', 'firebrick '), IN($18, 'Oz ', 'Pound '), IN($15, 'large ', 'medium ')), AND(=($12, 'Women '), IN($17, 'almond ', 'steel '), IN($18, 'Case ', 'Tsp '), IN($15, 'large ', 'medium ')), AND(=($12, 'Women '), IN($17, 'aquamarine ', 'purple '), IN($18, 'Bunch ', 'Gram '), IN($15, 'economy ', 'petite ')), AND(=($12, 'Men '), IN($17, 'lavender ', 'papaya '), IN($18, 'Cup ', 'Pallet '), IN($15, 'N/A ', 'small ')), AND(=($12, 'Men '), IN($17, 'cyan ', 'maroon '), IN($18, 'Each ', 'N/A '), IN($15, 'large ', 'medium '))), IS NOT NULL($14))])
HiveTableScan(table=[[default, item]], table:alias=[item])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query43.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query43.q.out
index a20883c6a5d7..76f1f7f3d272 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query43.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query43.q.out
@@ -8,7 +8,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], sort4=[$4], sort5=
HiveProject(ss_store_sk=[$6], ss_sales_price=[$12], ss_sold_date_sk=[$22])
HiveFilter(condition=[AND(IS NOT NULL($6), IS NOT NULL($22))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
- HiveProject(d_date_sk=[$0], EXPR$0=[=($14, _UTF-16LE'Sunday ')], EXPR$1=[=($14, _UTF-16LE'Monday ')], EXPR$2=[=($14, _UTF-16LE'Tuesday ')], EXPR$3=[=($14, _UTF-16LE'Wednesday')], EXPR$4=[=($14, _UTF-16LE'Thursday ')], EXPR$5=[=($14, _UTF-16LE'Friday ')], EXPR$6=[=($14, _UTF-16LE'Saturday ')])
+ HiveProject(d_date_sk=[$0], EXPR$0=[=($14, 'Sunday ')], EXPR$1=[=($14, 'Monday ')], EXPR$2=[=($14, 'Tuesday ')], EXPR$3=[=($14, 'Wednesday')], EXPR$4=[=($14, 'Thursday ')], EXPR$5=[=($14, 'Friday ')], EXPR$6=[=($14, 'Saturday ')])
HiveFilter(condition=[=($6, 1998)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(s_store_sk=[$0], s_store_id=[$1], s_store_name=[$5])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query45.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query45.q.out
index ce42781178eb..851b3f59bb73 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query45.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query45.q.out
@@ -2,7 +2,7 @@ CBO PLAN:
HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveProject(ca_zip=[$1], ca_county=[$0], _c2=[$2])
HiveAggregate(group=[{7, 8}], agg#0=[sum($2)])
- HiveFilter(condition=[OR(IS NOT NULL($15), IN(substr($8, 1, 5), _UTF-16LE'85669':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'86197':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'88274':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'83405':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'86475':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'85392':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'85460':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'80348':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'81792':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"))])
+ HiveFilter(condition=[OR(IS NOT NULL($15), IN(substr($8, 1, 5), '80348':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '81792':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '83405':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '85392':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '85460':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '85669':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '86197':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '86475':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '88274':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"))])
HiveProject(ws_item_sk=[$5], ws_bill_customer_sk=[$6], ws_sales_price=[$7], ws_sold_date_sk=[$8], c_customer_sk=[$0], c_current_addr_sk=[$1], ca_address_sk=[$2], ca_county=[$3], ca_zip=[$4], d_date_sk=[$9], d_year=[$10], d_qoy=[$11], i_item_sk=[$12], i_item_id=[$13], i_item_id0=[$14], literalTrue=[$15])
HiveJoin(condition=[=($5, $12)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($6, $0)], joinType=[inner], algorithm=[none], cost=[not available])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query46.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query46.q.out
index abdbebce09c7..da767daf8383 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query46.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query46.q.out
@@ -23,7 +23,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], sort4=[$4], dir0=[
HiveFilter(condition=[AND(IN($6, 1998, 1999, 2000), IN($7, 0, 6))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(s_store_sk=[$0])
- HiveFilter(condition=[IN($22, _UTF-16LE'Cedar Grove':VARCHAR(60) CHARACTER SET "UTF-16LE", _UTF-16LE'Highland Park':VARCHAR(60) CHARACTER SET "UTF-16LE", _UTF-16LE'Salem':VARCHAR(60) CHARACTER SET "UTF-16LE", _UTF-16LE'Union':VARCHAR(60) CHARACTER SET "UTF-16LE", _UTF-16LE'Wildwood':VARCHAR(60) CHARACTER SET "UTF-16LE")])
+ HiveFilter(condition=[IN($22, 'Cedar Grove':VARCHAR(60) CHARACTER SET "UTF-16LE", 'Highland Park':VARCHAR(60) CHARACTER SET "UTF-16LE", 'Salem':VARCHAR(60) CHARACTER SET "UTF-16LE", 'Union':VARCHAR(60) CHARACTER SET "UTF-16LE", 'Wildwood':VARCHAR(60) CHARACTER SET "UTF-16LE")])
HiveTableScan(table=[[default, store]], table:alias=[store])
HiveProject(hd_demo_sk=[$0])
HiveFilter(condition=[OR(=($4, 1), =($3, 2))])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query48.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query48.q.out
index 9d2e9add949f..32ffaa471159 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query48.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query48.q.out
@@ -2,15 +2,15 @@ CBO PLAN:
HiveProject(_c0=[$0])
HiveAggregate(group=[{}], agg#0=[sum($7)])
HiveJoin(condition=[AND(=($6, $0), OR(AND($1, $9), AND($2, $10), AND($3, $11)))], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(ca_address_sk=[$0], EXPR$0=[IN($8, _UTF-16LE'GA', _UTF-16LE'KY', _UTF-16LE'NM')], EXPR$1=[IN($8, _UTF-16LE'IN', _UTF-16LE'MT', _UTF-16LE'OR')], EXPR$2=[IN($8, _UTF-16LE'MO', _UTF-16LE'WI', _UTF-16LE'WV')])
- HiveFilter(condition=[AND(IN($8, _UTF-16LE'GA', _UTF-16LE'IN', _UTF-16LE'KY', _UTF-16LE'MO', _UTF-16LE'MT', _UTF-16LE'NM', _UTF-16LE'OR', _UTF-16LE'WI', _UTF-16LE'WV'), =($10, _UTF-16LE'United States'))])
+ HiveProject(ca_address_sk=[$0], EXPR$0=[IN($8, 'GA', 'KY', 'NM')], EXPR$1=[IN($8, 'IN', 'MT', 'OR')], EXPR$2=[IN($8, 'MO', 'WI', 'WV')])
+ HiveFilter(condition=[AND(IN($8, 'GA', 'IN', 'KY', 'MO', 'MT', 'NM', 'OR', 'WI', 'WV'), =($10, 'United States'))])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveJoin(condition=[=($0, $1)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(cd_demo_sk=[$0])
- HiveFilter(condition=[AND(=($2, _UTF-16LE'M'), =($3, _UTF-16LE'4 yr Degree '))])
+ HiveFilter(condition=[AND(=($2, 'M'), =($3, '4 yr Degree '))])
HiveTableScan(table=[[default, customer_demographics]], table:alias=[customer_demographics])
HiveJoin(condition=[=($3, $7)], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(ss_cdemo_sk=[$3], ss_addr_sk=[$5], ss_quantity=[$9], ss_sold_date_sk=[$22], EXPR$0=[BETWEEN(false, $21, 0:DECIMAL(12, 2), 2000:DECIMAL(12, 2))], EXPR$1=[BETWEEN(false, $21, 150:DECIMAL(12, 2), 3000:DECIMAL(12, 2))], EXPR$2=[BETWEEN(false, $21, 50:DECIMAL(12, 2), 25000:DECIMAL(12, 2))])
+ HiveProject(ss_cdemo_sk=[$3], ss_addr_sk=[$5], ss_quantity=[$9], ss_sold_date_sk=[$22], EXPR$0=[BETWEEN(false, $21, 0.00:DECIMAL(12, 2), 2000.00:DECIMAL(12, 2))], EXPR$1=[BETWEEN(false, $21, 150.00:DECIMAL(12, 2), 3000.00:DECIMAL(12, 2))], EXPR$2=[BETWEEN(false, $21, 50.00:DECIMAL(12, 2), 25000.00:DECIMAL(12, 2))])
HiveFilter(condition=[AND(BETWEEN(false, $12, 50:DECIMAL(3, 0), 200:DECIMAL(3, 0)), IS NOT NULL($21), IS NOT NULL($3), IS NOT NULL($5), IS NOT NULL($6), IS NOT NULL($22))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
HiveProject(d_date_sk=[$0])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query49.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query49.q.out
index 41c4971341e0..d497eed77c95 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query49.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query49.q.out
@@ -13,12 +13,12 @@ HiveSortLimit(sort0=[$0], sort1=[$3], sort2=[$4], dir0=[ASC], dir1=[ASC], dir2=[
HiveAggregate(group=[{0, 1, 2, 3, 4}])
HiveProject(channel=[$0], item=[$1], return_ratio=[$2], return_rank=[$3], currency_rank=[$4])
HiveUnion(all=[true])
- HiveProject(channel=[_UTF-16LE'web':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], item=[$0], return_ratio=[$1], return_rank=[$2], currency_rank=[$3])
+ HiveProject(channel=['web':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], item=[$0], return_ratio=[$1], return_rank=[$2], currency_rank=[$3])
HiveFilter(condition=[OR(<=($2, 10), <=($3, 10))])
HiveProject(item=[$0], return_ratio=[/(CAST($1):DECIMAL(15, 4), CAST($2):DECIMAL(15, 4))], rank_window_0=[rank() OVER (PARTITION BY 0 ORDER BY /(CAST($1):DECIMAL(15, 4), CAST($2):DECIMAL(15, 4)) NULLS LAST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], rank_window_1=[rank() OVER (PARTITION BY 0 ORDER BY /(CAST($3):DECIMAL(15, 4), CAST($4):DECIMAL(15, 4)) NULLS LAST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)])
HiveProject($f0=[$0], $f1=[$1], $f2=[$2], $f3=[$3], $f4=[$4])
HiveAggregate(group=[{0}], agg#0=[sum($1)], agg#1=[sum($2)], agg#2=[sum($3)], agg#3=[sum($4)])
- HiveProject($f0=[$4], $f1=[CASE(IS NOT NULL($2), $2, 0)], $f2=[CASE(IS NOT NULL($6), $6, 0)], $f3=[CASE(IS NOT NULL($3), $3, 0:DECIMAL(12, 2))], $f4=[CASE(IS NOT NULL($7), $7, 0:DECIMAL(12, 2))])
+ HiveProject($f0=[$4], $f1=[CASE(IS NOT NULL($2), $2, 0)], $f2=[CASE(IS NOT NULL($6), $6, 0)], $f3=[CASE(IS NOT NULL($3), $3, 0.00:DECIMAL(12, 2))], $f4=[CASE(IS NOT NULL($7), $7, 0.00:DECIMAL(12, 2))])
HiveJoin(condition=[AND(=($4, $0), =($5, $1))], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(wr_item_sk=[$1], wr_order_number=[$12], wr_return_quantity=[$13], wr_return_amt=[$14])
HiveFilter(condition=[>($14, 10000:DECIMAL(5, 0))])
@@ -31,12 +31,12 @@ HiveSortLimit(sort0=[$0], sort1=[$3], sort2=[$4], dir0=[ASC], dir1=[ASC], dir2=[
HiveProject(d_date_sk=[$0])
HiveFilter(condition=[AND(=($6, 2000), =($8, 12))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
- HiveProject(channel=[_UTF-16LE'catalog':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], item=[$0], return_ratio=[$1], return_rank=[$2], currency_rank=[$3])
+ HiveProject(channel=['catalog':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], item=[$0], return_ratio=[$1], return_rank=[$2], currency_rank=[$3])
HiveFilter(condition=[OR(<=($2, 10), <=($3, 10))])
HiveProject(item=[$0], return_ratio=[/(CAST($1):DECIMAL(15, 4), CAST($2):DECIMAL(15, 4))], rank_window_0=[rank() OVER (PARTITION BY 0 ORDER BY /(CAST($1):DECIMAL(15, 4), CAST($2):DECIMAL(15, 4)) NULLS LAST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], rank_window_1=[rank() OVER (PARTITION BY 0 ORDER BY /(CAST($3):DECIMAL(15, 4), CAST($4):DECIMAL(15, 4)) NULLS LAST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)])
HiveProject($f0=[$0], $f1=[$1], $f2=[$2], $f3=[$3], $f4=[$4])
HiveAggregate(group=[{0}], agg#0=[sum($1)], agg#1=[sum($2)], agg#2=[sum($3)], agg#3=[sum($4)])
- HiveProject($f0=[$4], $f1=[CASE(IS NOT NULL($2), $2, 0)], $f2=[CASE(IS NOT NULL($6), $6, 0)], $f3=[CASE(IS NOT NULL($3), $3, 0:DECIMAL(12, 2))], $f4=[CASE(IS NOT NULL($7), $7, 0:DECIMAL(12, 2))])
+ HiveProject($f0=[$4], $f1=[CASE(IS NOT NULL($2), $2, 0)], $f2=[CASE(IS NOT NULL($6), $6, 0)], $f3=[CASE(IS NOT NULL($3), $3, 0.00:DECIMAL(12, 2))], $f4=[CASE(IS NOT NULL($7), $7, 0.00:DECIMAL(12, 2))])
HiveJoin(condition=[AND(=($4, $0), =($5, $1))], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(cr_item_sk=[$1], cr_order_number=[$15], cr_return_quantity=[$16], cr_return_amount=[$17])
HiveFilter(condition=[>($17, 10000:DECIMAL(5, 0))])
@@ -46,12 +46,12 @@ HiveSortLimit(sort0=[$0], sort1=[$3], sort2=[$4], dir0=[ASC], dir1=[ASC], dir2=[
HiveFilter(condition=[AND(>($17, 0), >($32, 1:DECIMAL(1, 0)), >($28, 0:DECIMAL(1, 0)), IS NOT NULL($33))])
HiveTableScan(table=[[default, catalog_sales]], table:alias=[cs])
HiveTableScan(table=[[cte, cte_suggestion_0]], table:alias=[cte_suggestion_0])
- HiveProject(channel=[_UTF-16LE'store':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], item=[$0], return_ratio=[$1], return_rank=[$2], currency_rank=[$3])
+ HiveProject(channel=['store':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], item=[$0], return_ratio=[$1], return_rank=[$2], currency_rank=[$3])
HiveFilter(condition=[OR(<=($2, 10), <=($3, 10))])
HiveProject(item=[$0], return_ratio=[/(CAST($1):DECIMAL(15, 4), CAST($2):DECIMAL(15, 4))], rank_window_0=[rank() OVER (PARTITION BY 0 ORDER BY /(CAST($1):DECIMAL(15, 4), CAST($2):DECIMAL(15, 4)) NULLS LAST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], rank_window_1=[rank() OVER (PARTITION BY 0 ORDER BY /(CAST($3):DECIMAL(15, 4), CAST($4):DECIMAL(15, 4)) NULLS LAST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)])
HiveProject($f0=[$0], $f1=[$1], $f2=[$2], $f3=[$3], $f4=[$4])
HiveAggregate(group=[{0}], agg#0=[sum($1)], agg#1=[sum($2)], agg#2=[sum($3)], agg#3=[sum($4)])
- HiveProject($f0=[$4], $f1=[CASE(IS NOT NULL($2), $2, 0)], $f2=[CASE(IS NOT NULL($6), $6, 0)], $f3=[CASE(IS NOT NULL($3), $3, 0:DECIMAL(12, 2))], $f4=[CASE(IS NOT NULL($7), $7, 0:DECIMAL(12, 2))])
+ HiveProject($f0=[$4], $f1=[CASE(IS NOT NULL($2), $2, 0)], $f2=[CASE(IS NOT NULL($6), $6, 0)], $f3=[CASE(IS NOT NULL($3), $3, 0.00:DECIMAL(12, 2))], $f4=[CASE(IS NOT NULL($7), $7, 0.00:DECIMAL(12, 2))])
HiveJoin(condition=[AND(=($4, $0), =($5, $1))], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(sr_item_sk=[$1], sr_ticket_number=[$8], sr_return_quantity=[$9], sr_return_amt=[$10])
HiveFilter(condition=[>($10, 10000:DECIMAL(5, 0))])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query5.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query5.q.out
index c57a4bf13c24..8fe695d2baf7 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query5.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query5.q.out
@@ -9,16 +9,16 @@ HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveAggregate(group=[{0, 1}], groups=[[{0, 1}, {0}, {}]], agg#0=[sum($2)], agg#1=[sum($3)], agg#2=[sum($4)])
HiveProject(channel=[$0], id=[$1], sales=[$2], returns=[$3], profit=[$4])
HiveUnion(all=[true])
- HiveProject(channel=[_UTF-16LE'store channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[||(_UTF-16LE'store':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0)], sales=[$1], returns=[$3], profit=[-($2, $4)])
+ HiveProject(channel=['store channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[||('store':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0)], sales=[$1], returns=[$3], profit=[-($2, $4)])
HiveAggregate(group=[{8}], agg#0=[sum($2)], agg#1=[sum($3)], agg#2=[sum($4)], agg#3=[sum($5)])
HiveJoin(condition=[=($0, $7)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($1, $6)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(store_sk=[$0], date_sk=[$1], sales_price=[$2], profit=[$3], return_amt=[$4], net_loss=[$5])
HiveUnion(all=[true])
- HiveProject(store_sk=[$6], date_sk=[$22], sales_price=[$14], profit=[$21], return_amt=[CAST(0:DECIMAL(7, 2)):DECIMAL(7, 2)], net_loss=[CAST(0:DECIMAL(7, 2)):DECIMAL(7, 2)])
+ HiveProject(store_sk=[$6], date_sk=[$22], sales_price=[$14], profit=[$21], return_amt=[CAST(0.00:DECIMAL(7, 2)):DECIMAL(7, 2)], net_loss=[CAST(0.00:DECIMAL(7, 2)):DECIMAL(7, 2)])
HiveFilter(condition=[AND(IS NOT NULL($6), IS NOT NULL($22))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
- HiveProject(store_sk=[$6], date_sk=[$19], sales_price=[CAST(0:DECIMAL(7, 2)):DECIMAL(7, 2)], profit=[CAST(0:DECIMAL(7, 2)):DECIMAL(7, 2)], return_amt=[$10], net_loss=[$18])
+ HiveProject(store_sk=[$6], date_sk=[$19], sales_price=[CAST(0.00:DECIMAL(7, 2)):DECIMAL(7, 2)], profit=[CAST(0.00:DECIMAL(7, 2)):DECIMAL(7, 2)], return_amt=[$10], net_loss=[$18])
HiveFilter(condition=[AND(IS NOT NULL($6), IS NOT NULL($19))])
HiveTableScan(table=[[default, store_returns]], table:alias=[store_returns])
HiveProject(d_date_sk=[$0])
@@ -26,16 +26,16 @@ HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(s_store_sk=[$0], s_store_id=[$1])
HiveTableScan(table=[[default, store]], table:alias=[store])
- HiveProject(channel=[_UTF-16LE'catalog channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[||(_UTF-16LE'catalog_page':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0)], sales=[$1], returns=[$3], profit=[-($2, $4)])
+ HiveProject(channel=['catalog channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[||('catalog_page':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0)], sales=[$1], returns=[$3], profit=[-($2, $4)])
HiveAggregate(group=[{8}], agg#0=[sum($2)], agg#1=[sum($3)], agg#2=[sum($4)], agg#3=[sum($5)])
HiveJoin(condition=[=($0, $7)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($1, $6)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(page_sk=[$0], date_sk=[$1], sales_price=[$2], profit=[$3], return_amt=[$4], net_loss=[$5])
HiveUnion(all=[true])
- HiveProject(page_sk=[$11], date_sk=[$33], sales_price=[$22], profit=[$32], return_amt=[CAST(0:DECIMAL(7, 2)):DECIMAL(7, 2)], net_loss=[CAST(0:DECIMAL(7, 2)):DECIMAL(7, 2)])
+ HiveProject(page_sk=[$11], date_sk=[$33], sales_price=[$22], profit=[$32], return_amt=[CAST(0.00:DECIMAL(7, 2)):DECIMAL(7, 2)], net_loss=[CAST(0.00:DECIMAL(7, 2)):DECIMAL(7, 2)])
HiveFilter(condition=[AND(IS NOT NULL($11), IS NOT NULL($33))])
HiveTableScan(table=[[default, catalog_sales]], table:alias=[catalog_sales])
- HiveProject(page_sk=[$11], date_sk=[$26], sales_price=[CAST(0:DECIMAL(7, 2)):DECIMAL(7, 2)], profit=[CAST(0:DECIMAL(7, 2)):DECIMAL(7, 2)], return_amt=[$17], net_loss=[$25])
+ HiveProject(page_sk=[$11], date_sk=[$26], sales_price=[CAST(0.00:DECIMAL(7, 2)):DECIMAL(7, 2)], profit=[CAST(0.00:DECIMAL(7, 2)):DECIMAL(7, 2)], return_amt=[$17], net_loss=[$25])
HiveFilter(condition=[AND(IS NOT NULL($11), IS NOT NULL($26))])
HiveTableScan(table=[[default, catalog_returns]], table:alias=[catalog_returns])
HiveProject(d_date_sk=[$0])
@@ -43,16 +43,16 @@ HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(cp_catalog_page_sk=[$0], cp_catalog_page_id=[$1])
HiveTableScan(table=[[default, catalog_page]], table:alias=[catalog_page])
- HiveProject(channel=[_UTF-16LE'web channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[||(_UTF-16LE'web_site':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0)], sales=[$1], returns=[$3], profit=[-($2, $4)])
+ HiveProject(channel=['web channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[||('web_site':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0)], sales=[$1], returns=[$3], profit=[-($2, $4)])
HiveAggregate(group=[{8}], agg#0=[sum($2)], agg#1=[sum($3)], agg#2=[sum($4)], agg#3=[sum($5)])
HiveJoin(condition=[=($0, $7)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($1, $6)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(wsr_web_site_sk=[$0], date_sk=[$1], sales_price=[$2], profit=[$3], return_amt=[$4], net_loss=[$5])
HiveUnion(all=[true])
- HiveProject(wsr_web_site_sk=[$12], date_sk=[$33], sales_price=[$22], profit=[$32], return_amt=[CAST(0:DECIMAL(7, 2)):DECIMAL(7, 2)], net_loss=[CAST(0:DECIMAL(7, 2)):DECIMAL(7, 2)])
+ HiveProject(wsr_web_site_sk=[$12], date_sk=[$33], sales_price=[$22], profit=[$32], return_amt=[CAST(0.00:DECIMAL(7, 2)):DECIMAL(7, 2)], net_loss=[CAST(0.00:DECIMAL(7, 2)):DECIMAL(7, 2)])
HiveFilter(condition=[AND(IS NOT NULL($12), IS NOT NULL($33))])
HiveTableScan(table=[[default, web_sales]], table:alias=[web_sales])
- HiveProject(ws_web_site_sk=[$1], wr_returned_date_sk=[$7], $f2=[CAST(0:DECIMAL(7, 2)):DECIMAL(7, 2)], $f3=[CAST(0:DECIMAL(7, 2)):DECIMAL(7, 2)], wr_return_amt=[$5], wr_net_loss=[$6])
+ HiveProject(ws_web_site_sk=[$1], wr_returned_date_sk=[$7], $f2=[CAST(0.00:DECIMAL(7, 2)):DECIMAL(7, 2)], $f3=[CAST(0.00:DECIMAL(7, 2)):DECIMAL(7, 2)], wr_return_amt=[$5], wr_net_loss=[$6])
HiveJoin(condition=[AND(=($3, $0), =($4, $2))], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(ws_item_sk=[$2], ws_web_site_sk=[$12], ws_order_number=[$16])
HiveFilter(condition=[IS NOT NULL($12)])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query53.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query53.q.out
index d05b53e81ec5..8304296338ad 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query53.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query53.q.out
@@ -11,7 +11,7 @@ HiveSortLimit(sort0=[$2], sort1=[$1], sort2=[$0], dir0=[ASC], dir1=[ASC], dir2=[
HiveFilter(condition=[AND(IS NOT NULL($6), IS NOT NULL($22))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
HiveProject(i_item_sk=[$0], i_manufact_id=[$13])
- HiveFilter(condition=[AND(IN($10, _UTF-16LE'accessories', _UTF-16LE'classical', _UTF-16LE'fragrances', _UTF-16LE'pants', _UTF-16LE'personal', _UTF-16LE'portable', _UTF-16LE'reference', _UTF-16LE'self-help'), IN($12, _UTF-16LE'Books', _UTF-16LE'Children', _UTF-16LE'Electronics', _UTF-16LE'Men', _UTF-16LE'Music', _UTF-16LE'Women'), IN($8, _UTF-16LE'amalgimporto #1', _UTF-16LE'edu packscholar #1', _UTF-16LE'exportiimporto #1', _UTF-16LE'exportiunivamalg #9', _UTF-16LE'importoamalg #1', _UTF-16LE'scholaramalgamalg #14', _UTF-16LE'scholaramalgamalg #7', _UTF-16LE'scholaramalgamalg #9'), OR(AND(IN($12, _UTF-16LE'Books', _UTF-16LE'Children', _UTF-16LE'Electronics'), IN($10, _UTF-16LE'personal', _UTF-16LE'portable', _UTF-16LE'reference', _UTF-16LE'self-help'), IN($8, _UTF-16LE'exportiunivamalg #9', _UTF-16LE'scholaramalgamalg #14', _UTF-16LE'scholaramalgamalg #7', _UTF-16LE'scholaramalgamalg #9')), AND(IN($12, _UTF-16LE'Men', _UTF-16LE'Music', _UTF-16LE'Women'), IN($10, _UTF-16LE'accessories', _UTF-16LE'classical', _UTF-16LE'fragrances', _UTF-16LE'pants'), IN($8, _UTF-16LE'amalgimporto #1', _UTF-16LE'edu packscholar #1', _UTF-16LE'exportiimporto #1', _UTF-16LE'importoamalg #1'))))])
+ HiveFilter(condition=[AND(IN($8, 'amalgimporto #1 ', 'edu packscholar #1 ', 'exportiimporto #1 ', 'exportiunivamalg #9 ', 'importoamalg #1 ', 'scholaramalgamalg #14 ', 'scholaramalgamalg #7 ', 'scholaramalgamalg #9 '), IN($10, 'accessories ', 'classical ', 'fragrances ', 'pants ', 'personal ', 'portable ', 'reference ', 'self-help '), IN($12, 'Books ', 'Children ', 'Electronics ', 'Men ', 'Music ', 'Women '), OR(AND(IN($12, 'Books ', 'Children ', 'Electronics '), IN($10, 'personal ', 'portable ', 'reference ', 'self-help '), IN($8, 'exportiunivamalg #9 ', 'scholaramalgamalg #14 ', 'scholaramalgamalg #7 ', 'scholaramalgamalg #9 ')), AND(IN($12, 'Men ', 'Music ', 'Women '), IN($10, 'accessories ', 'classical ', 'fragrances ', 'pants '), IN($8, 'amalgimporto #1 ', 'edu packscholar #1 ', 'exportiimporto #1 ', 'importoamalg #1 '))))])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(d_date_sk=[$0], d_qoy=[$10])
HiveFilter(condition=[IN($3, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223)])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query54.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query54.q.out
index c08e3bf696ab..f5a2ecae98ca 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query54.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query54.q.out
@@ -72,7 +72,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveProject(d_date_sk=[$0])
HiveTableScan(table=[[cte, cte_suggestion_0]], table:alias=[cte_suggestion_0])
HiveProject(i_item_sk=[$0])
- HiveFilter(condition=[AND(=($10, _UTF-16LE'consignment '), =($12, _UTF-16LE'Jewelry '))])
+ HiveFilter(condition=[AND(=($10, 'consignment '), =($12, 'Jewelry '))])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(d_date_sk=[$0], d_month_seq=[$1], $f0=[$2], $f00=[$3])
HiveJoin(condition=[<=($1, $3)], joinType=[inner], algorithm=[none], cost=[not available])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query56.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query56.q.out
index 84133326b4f2..95eb1912f9d0 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query56.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query56.q.out
@@ -1,5 +1,5 @@
CTE Suggestion:
-HiveProject(ca_address_sk=[$0], ca_gmt_offset=[CAST(-8:DECIMAL(5, 2)):DECIMAL(5, 2)])
+HiveProject(ca_address_sk=[$0], ca_gmt_offset=[CAST(-8.00:DECIMAL(5, 2)):DECIMAL(5, 2)])
HiveFilter(condition=[=($11, -8:DECIMAL(1, 0))])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
@@ -10,7 +10,7 @@ HiveProject(d_date_sk=[$0], d_year=[CAST(2000):INTEGER], d_moy=[CAST(1):INTEGER]
CTE Suggestion:
HiveProject(i_item_id=[$1])
- HiveFilter(condition=[IN($17, _UTF-16LE'chiffon', _UTF-16LE'lace', _UTF-16LE'orchid')])
+ HiveFilter(condition=[IN($17, 'chiffon ', 'lace ', 'orchid ')])
HiveTableScan(table=[[default, item]], table:alias=[item])
CBO PLAN:
@@ -33,13 +33,13 @@ HiveSortLimit(sort0=[$1], dir0=[ASC], fetch=[100])
HiveFilter(condition=[AND(=($6, 2000), =($8, 1))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveTableSpool(table=[[cte, cte_suggestion_0]])
- HiveProject(ca_address_sk=[$0], ca_gmt_offset=[CAST(-8:DECIMAL(5, 2)):DECIMAL(5, 2)])
+ HiveProject(ca_address_sk=[$0], ca_gmt_offset=[CAST(-8.00:DECIMAL(5, 2)):DECIMAL(5, 2)])
HiveFilter(condition=[=($11, -8:DECIMAL(1, 0))])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveProject(i_item_sk=[$0], i_item_id=[$1])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(i_item_id=[$1])
- HiveFilter(condition=[OR(=($17, _UTF-16LE'lace'), =($17, _UTF-16LE'orchid'), =($17, _UTF-16LE'chiffon'))])
+ HiveFilter(condition=[OR(=($17, 'chiffon '), =($17, 'lace '), =($17, 'orchid '))])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(i_item_id=[$0], $f1=[$1])
HiveAggregate(group=[{10}], agg#0=[sum($2)])
@@ -55,7 +55,7 @@ HiveSortLimit(sort0=[$1], dir0=[ASC], fetch=[100])
HiveProject(i_item_sk=[$0], i_item_id=[$1])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(i_item_id=[$1])
- HiveFilter(condition=[OR(=($17, _UTF-16LE'lace'), =($17, _UTF-16LE'orchid'), =($17, _UTF-16LE'chiffon'))])
+ HiveFilter(condition=[OR(=($17, 'chiffon '), =($17, 'lace '), =($17, 'orchid '))])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(i_item_id=[$0], $f1=[$1])
HiveAggregate(group=[{10}], agg#0=[sum($2)])
@@ -71,6 +71,6 @@ HiveSortLimit(sort0=[$1], dir0=[ASC], fetch=[100])
HiveProject(i_item_sk=[$0], i_item_id=[$1])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(i_item_id=[$1])
- HiveFilter(condition=[OR(=($17, _UTF-16LE'lace'), =($17, _UTF-16LE'orchid'), =($17, _UTF-16LE'chiffon'))])
+ HiveFilter(condition=[OR(=($17, 'chiffon '), =($17, 'lace '), =($17, 'orchid '))])
HiveTableScan(table=[[default, item]], table:alias=[item])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query59.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query59.q.out
index 2db041c4715c..dbdaa7c3768f 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query59.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query59.q.out
@@ -4,7 +4,7 @@ HiveProject($f0=[$4], $f1=[$0], $f2=[CASE($5, $1, null:DECIMAL(7, 2))], $f3=[CAS
HiveProject(ss_store_sk=[$6], ss_sales_price=[$12], ss_sold_date_sk=[$22])
HiveFilter(condition=[AND(IS NOT NULL($22), IS NOT NULL($6))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
- HiveProject(d_date_sk=[$0], d_week_seq=[$4], EXPR$0=[=($14, _UTF-16LE'Sunday ')], EXPR$1=[=($14, _UTF-16LE'Monday ')], EXPR$2=[=($14, _UTF-16LE'Tuesday ')], EXPR$3=[=($14, _UTF-16LE'Wednesday')], EXPR$4=[=($14, _UTF-16LE'Thursday ')], EXPR$5=[=($14, _UTF-16LE'Friday ')], EXPR$6=[=($14, _UTF-16LE'Saturday ')])
+ HiveProject(d_date_sk=[$0], d_week_seq=[$4], EXPR$0=[=($14, 'Sunday ')], EXPR$1=[=($14, 'Monday ')], EXPR$2=[=($14, 'Tuesday ')], EXPR$3=[=($14, 'Wednesday')], EXPR$4=[=($14, 'Thursday ')], EXPR$5=[=($14, 'Friday ')], EXPR$6=[=($14, 'Saturday ')])
HiveFilter(condition=[IS NOT NULL($4)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
@@ -28,7 +28,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[ASC], dir1=[ASC], dir2=[
HiveProject(ss_store_sk=[$6], ss_sales_price=[$12], ss_sold_date_sk=[$22])
HiveFilter(condition=[AND(IS NOT NULL($6), IS NOT NULL($22))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
- HiveProject(d_date_sk=[$0], d_week_seq=[$4], EXPR$0=[=($14, _UTF-16LE'Sunday ')], EXPR$1=[=($14, _UTF-16LE'Monday ')], EXPR$2=[=($14, _UTF-16LE'Tuesday ')], EXPR$3=[=($14, _UTF-16LE'Wednesday')], EXPR$4=[=($14, _UTF-16LE'Thursday ')], EXPR$5=[=($14, _UTF-16LE'Friday ')], EXPR$6=[=($14, _UTF-16LE'Saturday ')])
+ HiveProject(d_date_sk=[$0], d_week_seq=[$4], EXPR$0=[=($14, 'Sunday ')], EXPR$1=[=($14, 'Monday ')], EXPR$2=[=($14, 'Tuesday ')], EXPR$3=[=($14, 'Wednesday')], EXPR$4=[=($14, 'Thursday ')], EXPR$5=[=($14, 'Friday ')], EXPR$6=[=($14, 'Saturday ')])
HiveFilter(condition=[IS NOT NULL($4)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(d_week_seq=[$4])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query6.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query6.q.out
index af759b9b3d0b..59481495f602 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query6.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query6.q.out
@@ -31,7 +31,7 @@ HiveSortLimit(sort0=[$1], dir0=[ASC], fetch=[100])
HiveFilter(condition=[AND(IS NOT NULL($5), IS NOT NULL($12))])
HiveTableScan(table=[[default, item]], table:alias=[i])
HiveProject(i_category=[$0], EXPR$0=[*(1.2:DECIMAL(2, 1), CAST(CAST(/($1, $2)):DECIMAL(11, 6)):DECIMAL(16, 6))])
- HiveFilter(condition=[IS NOT NULL(CAST(CAST(/($1, $2)):DECIMAL(11, 6)):DECIMAL(16, 6))])
+ HiveFilter(condition=[IS NOT NULL(CAST(/($1, $2)):DECIMAL(11, 6))])
HiveAggregate(group=[{12}], agg#0=[sum($5)], agg#1=[count($5)])
HiveFilter(condition=[IS NOT NULL($12)])
HiveTableScan(table=[[default, item]], table:alias=[j])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query60.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query60.q.out
index 9c4a85ce80e4..c3c58e32bbbd 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query60.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query60.q.out
@@ -1,5 +1,5 @@
CTE Suggestion:
-HiveProject(ca_address_sk=[$0], ca_gmt_offset=[CAST(-6:DECIMAL(5, 2)):DECIMAL(5, 2)])
+HiveProject(ca_address_sk=[$0], ca_gmt_offset=[CAST(-6.00:DECIMAL(5, 2)):DECIMAL(5, 2)])
HiveFilter(condition=[=($11, -6:DECIMAL(1, 0))])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
@@ -10,7 +10,7 @@ HiveProject(d_date_sk=[$0], d_year=[CAST(1999):INTEGER], d_moy=[CAST(9):INTEGER]
CTE Suggestion:
HiveProject(i_item_id=[$1])
- HiveFilter(condition=[=($12, _UTF-16LE'Children ')])
+ HiveFilter(condition=[=($12, 'Children ')])
HiveTableScan(table=[[default, item]], table:alias=[item])
CBO PLAN:
@@ -33,14 +33,14 @@ HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveFilter(condition=[AND(=($6, 1999), =($8, 9))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveTableSpool(table=[[cte, cte_suggestion_0]])
- HiveProject(ca_address_sk=[$0], ca_gmt_offset=[CAST(-6:DECIMAL(5, 2)):DECIMAL(5, 2)])
+ HiveProject(ca_address_sk=[$0], ca_gmt_offset=[CAST(-6.00:DECIMAL(5, 2)):DECIMAL(5, 2)])
HiveFilter(condition=[=($11, -6:DECIMAL(1, 0))])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveProject(i_item_sk=[$0], i_item_id=[$1])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveTableSpool(table=[[cte, cte_suggestion_2]])
HiveProject(i_item_id=[$1])
- HiveFilter(condition=[=($12, _UTF-16LE'Children ')])
+ HiveFilter(condition=[=($12, 'Children ')])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(i_item_id=[$0], $f1=[$1])
HiveAggregate(group=[{10}], agg#0=[sum($2)])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query61.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query61.q.out
index 7b40cec81724..1b3246a7d556 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query61.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query61.q.out
@@ -14,7 +14,7 @@ HiveProject(d_date_sk=[$0])
CTE Suggestion:
HiveProject(i_item_sk=[$0])
- HiveFilter(condition=[=($12, _UTF-16LE'Electronics ')])
+ HiveFilter(condition=[=($12, 'Electronics ')])
HiveTableScan(table=[[default, item]], table:alias=[item])
CTE Suggestion:
@@ -52,14 +52,14 @@ HiveProject(promotions=[$0], total=[$1], _c2=[*(/(CAST($0):DECIMAL(15, 4), CAST(
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveTableSpool(table=[[cte, cte_suggestion_2]])
HiveProject(i_item_sk=[$0])
- HiveFilter(condition=[=($12, _UTF-16LE'Electronics ')])
+ HiveFilter(condition=[=($12, 'Electronics ')])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveTableSpool(table=[[cte, cte_suggestion_3]])
HiveProject(s_store_sk=[$0])
HiveFilter(condition=[=($27, -7:DECIMAL(1, 0))])
HiveTableScan(table=[[default, store]], table:alias=[store])
HiveProject(p_promo_sk=[$0])
- HiveFilter(condition=[OR(=($9, _UTF-16LE'Y'), =($11, _UTF-16LE'Y'), =($8, _UTF-16LE'Y'))])
+ HiveFilter(condition=[OR(=($9, 'Y'), =($11, 'Y'), =($8, 'Y'))])
HiveTableScan(table=[[default, promotion]], table:alias=[promotion])
HiveProject($f0=[$0])
HiveAggregate(group=[{}], agg#0=[sum($6)])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query63.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query63.q.out
index 01da209407ba..ac973817b26b 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query63.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query63.q.out
@@ -11,7 +11,7 @@ HiveSortLimit(sort0=[$0], sort1=[$2], sort2=[$1], dir0=[ASC], dir1=[ASC], dir2=[
HiveFilter(condition=[AND(IS NOT NULL($6), IS NOT NULL($22))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
HiveProject(i_item_sk=[$0], i_manager_id=[$20])
- HiveFilter(condition=[AND(IN($10, _UTF-16LE'accessories', _UTF-16LE'classical', _UTF-16LE'fragrances', _UTF-16LE'pants', _UTF-16LE'personal', _UTF-16LE'portable', _UTF-16LE'refernece', _UTF-16LE'self-help'), IN($12, _UTF-16LE'Books', _UTF-16LE'Children', _UTF-16LE'Electronics', _UTF-16LE'Men', _UTF-16LE'Music', _UTF-16LE'Women'), IN($8, _UTF-16LE'amalgimporto #1', _UTF-16LE'edu packscholar #1', _UTF-16LE'exportiimporto #1', _UTF-16LE'exportiunivamalg #9', _UTF-16LE'importoamalg #1', _UTF-16LE'scholaramalgamalg #14', _UTF-16LE'scholaramalgamalg #7', _UTF-16LE'scholaramalgamalg #9'), OR(AND(IN($12, _UTF-16LE'Books', _UTF-16LE'Children', _UTF-16LE'Electronics'), IN($10, _UTF-16LE'personal', _UTF-16LE'portable', _UTF-16LE'refernece', _UTF-16LE'self-help'), IN($8, _UTF-16LE'exportiunivamalg #9', _UTF-16LE'scholaramalgamalg #14', _UTF-16LE'scholaramalgamalg #7', _UTF-16LE'scholaramalgamalg #9')), AND(IN($12, _UTF-16LE'Men', _UTF-16LE'Music', _UTF-16LE'Women'), IN($10, _UTF-16LE'accessories', _UTF-16LE'classical', _UTF-16LE'fragrances', _UTF-16LE'pants'), IN($8, _UTF-16LE'amalgimporto #1', _UTF-16LE'edu packscholar #1', _UTF-16LE'exportiimporto #1', _UTF-16LE'importoamalg #1'))))])
+ HiveFilter(condition=[AND(IN($8, 'amalgimporto #1 ', 'edu packscholar #1 ', 'exportiimporto #1 ', 'exportiunivamalg #9 ', 'importoamalg #1 ', 'scholaramalgamalg #14 ', 'scholaramalgamalg #7 ', 'scholaramalgamalg #9 '), IN($10, 'accessories ', 'classical ', 'fragrances ', 'pants ', 'personal ', 'portable ', 'refernece ', 'self-help '), IN($12, 'Books ', 'Children ', 'Electronics ', 'Men ', 'Music ', 'Women '), OR(AND(IN($12, 'Books ', 'Children ', 'Electronics '), IN($10, 'personal ', 'portable ', 'refernece ', 'self-help '), IN($8, 'exportiunivamalg #9 ', 'scholaramalgamalg #14 ', 'scholaramalgamalg #7 ', 'scholaramalgamalg #9 ')), AND(IN($12, 'Men ', 'Music ', 'Women '), IN($10, 'accessories ', 'classical ', 'fragrances ', 'pants '), IN($8, 'amalgimporto #1 ', 'edu packscholar #1 ', 'exportiimporto #1 ', 'importoamalg #1 '))))])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(d_date_sk=[$0], d_moy=[$8])
HiveFilter(condition=[IN($3, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223)])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query64.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query64.q.out
index e5ae62458519..3e284272e21c 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query64.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query64.q.out
@@ -4,7 +4,7 @@ HiveJoin(condition=[=($0, $11)], joinType=[inner], algorithm=[none], cost=[not a
HiveFilter(condition=[AND(IS NOT NULL($22), IS NOT NULL($6), IS NOT NULL($2), IS NOT NULL($3), IS NOT NULL($7), IS NOT NULL($4), IS NOT NULL($5))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
HiveProject(i_item_sk=[$0], i_product_name=[$21])
- HiveFilter(condition=[AND(IN($17, _UTF-16LE'burnished', _UTF-16LE'chocolate', _UTF-16LE'dim', _UTF-16LE'maroon', _UTF-16LE'navajo', _UTF-16LE'steel'), BETWEEN(false, $5, 36:DECIMAL(12, 2), 45:DECIMAL(12, 2)))])
+ HiveFilter(condition=[AND(IN($17, 'burnished ', 'chocolate ', 'dim ', 'maroon ', 'navajo ', 'steel '), BETWEEN(false, $5, 36.00:DECIMAL(12, 2), 45.00:DECIMAL(12, 2)))])
HiveTableScan(table=[[default, item]], table:alias=[item])
CTE Suggestion:
@@ -73,7 +73,7 @@ HiveProject(cs1.product_name=[$0], cs1.store_name=[$1], cs1.store_zip=[$2], cs1.
HiveFilter(condition=[AND(IS NOT NULL($3), IS NOT NULL($5), IS NOT NULL($4), IS NOT NULL($2), IS NOT NULL($6), IS NOT NULL($7), IS NOT NULL($22))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
HiveProject(i_item_sk=[$0], i_product_name=[$21])
- HiveFilter(condition=[AND(<=(36:DECIMAL(12, 2), $5), <=($5, 45:DECIMAL(12, 2)), OR(=($17, _UTF-16LE'burnished'), =($17, _UTF-16LE'chocolate'), =($17, _UTF-16LE'dim'), =($17, _UTF-16LE'maroon'), =($17, _UTF-16LE'navajo'), =($17, _UTF-16LE'steel')))])
+ HiveFilter(condition=[AND(<=(36.00:DECIMAL(12, 2), $5), <=($5, 45.00:DECIMAL(12, 2)), OR(=($17, 'burnished '), =($17, 'chocolate '), =($17, 'dim '), =($17, 'maroon '), =($17, 'navajo '), =($17, 'steel ')))])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(d_date_sk=[$0])
HiveFilter(condition=[=($6, 2001)])
@@ -133,7 +133,7 @@ HiveProject(cs1.product_name=[$0], cs1.store_name=[$1], cs1.store_zip=[$2], cs1.
HiveFilter(condition=[AND(IS NOT NULL($3), IS NOT NULL($5), IS NOT NULL($4), IS NOT NULL($2), IS NOT NULL($6), IS NOT NULL($7), IS NOT NULL($22))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
HiveProject(i_item_sk=[$0], i_product_name=[$21])
- HiveFilter(condition=[AND(<=(36:DECIMAL(12, 2), $5), <=($5, 45:DECIMAL(12, 2)), OR(=($17, _UTF-16LE'burnished'), =($17, _UTF-16LE'chocolate'), =($17, _UTF-16LE'dim'), =($17, _UTF-16LE'maroon'), =($17, _UTF-16LE'navajo'), =($17, _UTF-16LE'steel')))])
+ HiveFilter(condition=[AND(<=(36.00:DECIMAL(12, 2), $5), <=($5, 45.00:DECIMAL(12, 2)), OR(=($17, 'burnished '), =($17, 'chocolate '), =($17, 'dim '), =($17, 'maroon '), =($17, 'navajo '), =($17, 'steel ')))])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(d_date_sk=[$0])
HiveFilter(condition=[=($6, 2000)])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query66.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query66.q.out
index 9eb0c5cdc6a1..658f982bf8b0 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query66.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query66.q.out
@@ -5,7 +5,7 @@ HiveProject(d_date_sk=[$0], EXPR$0=[=($8, 1)], EXPR$1=[=($8, 2)], EXPR$2=[=($8,
CTE Suggestion:
HiveProject(sm_ship_mode_sk=[$0])
- HiveFilter(condition=[IN($4, _UTF-16LE'AIRBORNE', _UTF-16LE'DIAMOND')])
+ HiveFilter(condition=[IN($4, 'AIRBORNE ', 'DIAMOND ')])
HiveTableScan(table=[[default, ship_mode]], table:alias=[ship_mode])
CTE Suggestion:
@@ -14,7 +14,7 @@ HiveProject(t_time_sk=[$0])
HiveTableScan(table=[[default, time_dim]], table:alias=[time_dim])
CBO PLAN:
-HiveProject(w_warehouse_name=[$0], w_warehouse_sq_ft=[$1], w_city=[$2], w_county=[$3], w_state=[$4], w_country=[$5], ship_carriers=[CAST(_UTF-16LE'DIAMOND,AIRBORNE':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], year=[CAST(2002):INTEGER], jan_sales=[$6], feb_sales=[$7], mar_sales=[$8], apr_sales=[$9], may_sales=[$10], jun_sales=[$11], jul_sales=[$12], aug_sales=[$13], sep_sales=[$14], oct_sales=[$15], nov_sales=[$16], dec_sales=[$17], jan_sales_per_sq_foot=[$18], feb_sales_per_sq_foot=[$19], mar_sales_per_sq_foot=[$20], apr_sales_per_sq_foot=[$21], may_sales_per_sq_foot=[$22], jun_sales_per_sq_foot=[$23], jul_sales_per_sq_foot=[$24], aug_sales_per_sq_foot=[$25], sep_sales_per_sq_foot=[$26], oct_sales_per_sq_foot=[$27], nov_sales_per_sq_foot=[$28], dec_sales_per_sq_foot=[$29], jan_net=[$30], feb_net=[$31], mar_net=[$32], apr_net=[$33], may_net=[$34], jun_net=[$35], jul_net=[$36], aug_net=[$37], sep_net=[$38], oct_net=[$39], nov_net=[$40], dec_net=[$41])
+HiveProject(w_warehouse_name=[$0], w_warehouse_sq_ft=[$1], w_city=[$2], w_county=[$3], w_state=[$4], w_country=[$5], ship_carriers=[CAST('DIAMOND,AIRBORNE':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], year=[CAST(2002):INTEGER], jan_sales=[$6], feb_sales=[$7], mar_sales=[$8], apr_sales=[$9], may_sales=[$10], jun_sales=[$11], jul_sales=[$12], aug_sales=[$13], sep_sales=[$14], oct_sales=[$15], nov_sales=[$16], dec_sales=[$17], jan_sales_per_sq_foot=[$18], feb_sales_per_sq_foot=[$19], mar_sales_per_sq_foot=[$20], apr_sales_per_sq_foot=[$21], may_sales_per_sq_foot=[$22], jun_sales_per_sq_foot=[$23], jul_sales_per_sq_foot=[$24], aug_sales_per_sq_foot=[$25], sep_sales_per_sq_foot=[$26], oct_sales_per_sq_foot=[$27], nov_sales_per_sq_foot=[$28], dec_sales_per_sq_foot=[$29], jan_net=[$30], feb_net=[$31], mar_net=[$32], apr_net=[$33], may_net=[$34], jun_net=[$35], jul_net=[$36], aug_net=[$37], sep_net=[$38], oct_net=[$39], nov_net=[$40], dec_net=[$41])
HiveSortLimit(sort0=[$0], dir0=[ASC], fetch=[100])
HiveProject($f0=[$0], $f1=[$1], $f2=[$2], $f3=[$3], $f4=[$4], $f5=[$5], $f6=[$6], $f7=[$7], $f8=[$8], $f9=[$9], $f10=[$10], $f11=[$11], $f12=[$12], $f13=[$13], $f14=[$14], $f15=[$15], $f16=[$16], $f17=[$17], $f18=[$18], $f19=[$19], $f20=[$20], $f21=[$21], $f22=[$22], $f23=[$23], $f24=[$24], $f25=[$25], $f26=[$26], $f27=[$27], $f28=[$28], $f29=[$29], $f30=[$30], $f31=[$31], $f32=[$32], $f33=[$33], $f34=[$34], $f35=[$35], $f36=[$36], $f37=[$37], $f38=[$38], $f39=[$39], $f40=[$40], $f41=[$41])
HiveAggregate(group=[{0, 1, 2, 3, 4, 5}], agg#0=[sum($6)], agg#1=[sum($7)], agg#2=[sum($8)], agg#3=[sum($9)], agg#4=[sum($10)], agg#5=[sum($11)], agg#6=[sum($12)], agg#7=[sum($13)], agg#8=[sum($14)], agg#9=[sum($15)], agg#10=[sum($16)], agg#11=[sum($17)], agg#12=[sum($18)], agg#13=[sum($19)], agg#14=[sum($20)], agg#15=[sum($21)], agg#16=[sum($22)], agg#17=[sum($23)], agg#18=[sum($24)], agg#19=[sum($25)], agg#20=[sum($26)], agg#21=[sum($27)], agg#22=[sum($28)], agg#23=[sum($29)], agg#24=[sum($30)], agg#25=[sum($31)], agg#26=[sum($32)], agg#27=[sum($33)], agg#28=[sum($34)], agg#29=[sum($35)], agg#30=[sum($36)], agg#31=[sum($37)], agg#32=[sum($38)], agg#33=[sum($39)], agg#34=[sum($40)], agg#35=[sum($41)])
@@ -22,7 +22,7 @@ HiveProject(w_warehouse_name=[$0], w_warehouse_sq_ft=[$1], w_city=[$2], w_county
HiveUnion(all=[true])
HiveProject($f0=[$0], $f1=[$1], $f2=[$2], $f3=[$3], $f4=[$4], $f5=[$5], $f6=[$6], $f7=[$7], $f8=[$8], $f9=[$9], $f10=[$10], $f11=[$11], $f12=[$12], $f13=[$13], $f14=[$14], $f15=[$15], $f16=[$16], $f17=[$17], $f18=[$18], $f19=[$19], $f20=[$20], $f21=[$21], $f22=[$22], $f23=[$23], $f24=[$24], $f25=[$25], $f26=[$26], $f27=[$27], $f28=[$28], $f29=[$29])
HiveAggregate(group=[{0, 1, 2, 3, 4, 5}], agg#0=[sum($6)], agg#1=[sum($7)], agg#2=[sum($8)], agg#3=[sum($9)], agg#4=[sum($10)], agg#5=[sum($11)], agg#6=[sum($12)], agg#7=[sum($13)], agg#8=[sum($14)], agg#9=[sum($15)], agg#10=[sum($16)], agg#11=[sum($17)], agg#12=[sum($18)], agg#13=[sum($19)], agg#14=[sum($20)], agg#15=[sum($21)], agg#16=[sum($22)], agg#17=[sum($23)], agg#18=[sum($24)], agg#19=[sum($25)], agg#20=[sum($26)], agg#21=[sum($27)], agg#22=[sum($28)], agg#23=[sum($29)])
- HiveProject($f0=[$22], $f1=[$23], $f2=[$24], $f3=[$25], $f4=[$26], $f5=[$27], $f7=[CASE($8, $4, 0:DECIMAL(18, 2))], $f8=[CASE($9, $4, 0:DECIMAL(18, 2))], $f9=[CASE($10, $4, 0:DECIMAL(18, 2))], $f10=[CASE($11, $4, 0:DECIMAL(18, 2))], $f11=[CASE($12, $4, 0:DECIMAL(18, 2))], $f12=[CASE($13, $4, 0:DECIMAL(18, 2))], $f13=[CASE($14, $4, 0:DECIMAL(18, 2))], $f14=[CASE($15, $4, 0:DECIMAL(18, 2))], $f15=[CASE($16, $4, 0:DECIMAL(18, 2))], $f16=[CASE($17, $4, 0:DECIMAL(18, 2))], $f17=[CASE($18, $4, 0:DECIMAL(18, 2))], $f18=[CASE($19, $4, 0:DECIMAL(18, 2))], $f19=[CASE($8, $5, 0:DECIMAL(18, 2))], $f20=[CASE($9, $5, 0:DECIMAL(18, 2))], $f21=[CASE($10, $5, 0:DECIMAL(18, 2))], $f22=[CASE($11, $5, 0:DECIMAL(18, 2))], $f23=[CASE($12, $5, 0:DECIMAL(18, 2))], $f24=[CASE($13, $5, 0:DECIMAL(18, 2))], $f25=[CASE($14, $5, 0:DECIMAL(18, 2))], $f26=[CASE($15, $5, 0:DECIMAL(18, 2))], $f27=[CASE($16, $5, 0:DECIMAL(18, 2))], $f28=[CASE($17, $5, 0:DECIMAL(18, 2))], $f29=[CASE($18, $5, 0:DECIMAL(18, 2))], $f30=[CASE($19, $5, 0:DECIMAL(18, 2))])
+ HiveProject($f0=[$22], $f1=[$23], $f2=[$24], $f3=[$25], $f4=[$26], $f5=[$27], $f7=[CASE($8, $4, 0.00:DECIMAL(18, 2))], $f8=[CASE($9, $4, 0.00:DECIMAL(18, 2))], $f9=[CASE($10, $4, 0.00:DECIMAL(18, 2))], $f10=[CASE($11, $4, 0.00:DECIMAL(18, 2))], $f11=[CASE($12, $4, 0.00:DECIMAL(18, 2))], $f12=[CASE($13, $4, 0.00:DECIMAL(18, 2))], $f13=[CASE($14, $4, 0.00:DECIMAL(18, 2))], $f14=[CASE($15, $4, 0.00:DECIMAL(18, 2))], $f15=[CASE($16, $4, 0.00:DECIMAL(18, 2))], $f16=[CASE($17, $4, 0.00:DECIMAL(18, 2))], $f17=[CASE($18, $4, 0.00:DECIMAL(18, 2))], $f18=[CASE($19, $4, 0.00:DECIMAL(18, 2))], $f19=[CASE($8, $5, 0.00:DECIMAL(18, 2))], $f20=[CASE($9, $5, 0.00:DECIMAL(18, 2))], $f21=[CASE($10, $5, 0.00:DECIMAL(18, 2))], $f22=[CASE($11, $5, 0.00:DECIMAL(18, 2))], $f23=[CASE($12, $5, 0.00:DECIMAL(18, 2))], $f24=[CASE($13, $5, 0.00:DECIMAL(18, 2))], $f25=[CASE($14, $5, 0.00:DECIMAL(18, 2))], $f26=[CASE($15, $5, 0.00:DECIMAL(18, 2))], $f27=[CASE($16, $5, 0.00:DECIMAL(18, 2))], $f28=[CASE($17, $5, 0.00:DECIMAL(18, 2))], $f29=[CASE($18, $5, 0.00:DECIMAL(18, 2))], $f30=[CASE($19, $5, 0.00:DECIMAL(18, 2))])
HiveJoin(condition=[=($2, $21)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($1, $20)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($3, $7)], joinType=[inner], algorithm=[none], cost=[not available])
@@ -38,13 +38,13 @@ HiveProject(w_warehouse_name=[$0], w_warehouse_sq_ft=[$1], w_city=[$2], w_county
HiveFilter(condition=[=($6, 2002)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(sm_ship_mode_sk=[$0])
- HiveFilter(condition=[OR(=($4, _UTF-16LE'DIAMOND'), =($4, _UTF-16LE'AIRBORNE'))])
+ HiveFilter(condition=[OR(=($4, 'AIRBORNE '), =($4, 'DIAMOND '))])
HiveTableScan(table=[[default, ship_mode]], table:alias=[ship_mode])
HiveProject(w_warehouse_sk=[$0], w_warehouse_name=[$2], w_warehouse_sq_ft=[$3], w_city=[$8], w_county=[$9], w_state=[$10], w_country=[$12])
HiveTableScan(table=[[default, warehouse]], table:alias=[warehouse])
HiveProject($f0=[$0], $f1=[$1], $f2=[$2], $f3=[$3], $f4=[$4], $f5=[$5], $f6=[$6], $f7=[$7], $f8=[$8], $f9=[$9], $f10=[$10], $f11=[$11], $f12=[$12], $f13=[$13], $f14=[$14], $f15=[$15], $f16=[$16], $f17=[$17], $f18=[$18], $f19=[$19], $f20=[$20], $f21=[$21], $f22=[$22], $f23=[$23], $f24=[$24], $f25=[$25], $f26=[$26], $f27=[$27], $f28=[$28], $f29=[$29])
HiveAggregate(group=[{0, 1, 2, 3, 4, 5}], agg#0=[sum($6)], agg#1=[sum($7)], agg#2=[sum($8)], agg#3=[sum($9)], agg#4=[sum($10)], agg#5=[sum($11)], agg#6=[sum($12)], agg#7=[sum($13)], agg#8=[sum($14)], agg#9=[sum($15)], agg#10=[sum($16)], agg#11=[sum($17)], agg#12=[sum($18)], agg#13=[sum($19)], agg#14=[sum($20)], agg#15=[sum($21)], agg#16=[sum($22)], agg#17=[sum($23)], agg#18=[sum($24)], agg#19=[sum($25)], agg#20=[sum($26)], agg#21=[sum($27)], agg#22=[sum($28)], agg#23=[sum($29)])
- HiveProject($f0=[$22], $f1=[$23], $f2=[$24], $f3=[$25], $f4=[$26], $f5=[$27], $f7=[CASE($8, $4, 0:DECIMAL(18, 2))], $f8=[CASE($9, $4, 0:DECIMAL(18, 2))], $f9=[CASE($10, $4, 0:DECIMAL(18, 2))], $f10=[CASE($11, $4, 0:DECIMAL(18, 2))], $f11=[CASE($12, $4, 0:DECIMAL(18, 2))], $f12=[CASE($13, $4, 0:DECIMAL(18, 2))], $f13=[CASE($14, $4, 0:DECIMAL(18, 2))], $f14=[CASE($15, $4, 0:DECIMAL(18, 2))], $f15=[CASE($16, $4, 0:DECIMAL(18, 2))], $f16=[CASE($17, $4, 0:DECIMAL(18, 2))], $f17=[CASE($18, $4, 0:DECIMAL(18, 2))], $f18=[CASE($19, $4, 0:DECIMAL(18, 2))], $f19=[CASE($8, $5, 0:DECIMAL(18, 2))], $f20=[CASE($9, $5, 0:DECIMAL(18, 2))], $f21=[CASE($10, $5, 0:DECIMAL(18, 2))], $f22=[CASE($11, $5, 0:DECIMAL(18, 2))], $f23=[CASE($12, $5, 0:DECIMAL(18, 2))], $f24=[CASE($13, $5, 0:DECIMAL(18, 2))], $f25=[CASE($14, $5, 0:DECIMAL(18, 2))], $f26=[CASE($15, $5, 0:DECIMAL(18, 2))], $f27=[CASE($16, $5, 0:DECIMAL(18, 2))], $f28=[CASE($17, $5, 0:DECIMAL(18, 2))], $f29=[CASE($18, $5, 0:DECIMAL(18, 2))], $f30=[CASE($19, $5, 0:DECIMAL(18, 2))])
+ HiveProject($f0=[$22], $f1=[$23], $f2=[$24], $f3=[$25], $f4=[$26], $f5=[$27], $f7=[CASE($8, $4, 0.00:DECIMAL(18, 2))], $f8=[CASE($9, $4, 0.00:DECIMAL(18, 2))], $f9=[CASE($10, $4, 0.00:DECIMAL(18, 2))], $f10=[CASE($11, $4, 0.00:DECIMAL(18, 2))], $f11=[CASE($12, $4, 0.00:DECIMAL(18, 2))], $f12=[CASE($13, $4, 0.00:DECIMAL(18, 2))], $f13=[CASE($14, $4, 0.00:DECIMAL(18, 2))], $f14=[CASE($15, $4, 0.00:DECIMAL(18, 2))], $f15=[CASE($16, $4, 0.00:DECIMAL(18, 2))], $f16=[CASE($17, $4, 0.00:DECIMAL(18, 2))], $f17=[CASE($18, $4, 0.00:DECIMAL(18, 2))], $f18=[CASE($19, $4, 0.00:DECIMAL(18, 2))], $f19=[CASE($8, $5, 0.00:DECIMAL(18, 2))], $f20=[CASE($9, $5, 0.00:DECIMAL(18, 2))], $f21=[CASE($10, $5, 0.00:DECIMAL(18, 2))], $f22=[CASE($11, $5, 0.00:DECIMAL(18, 2))], $f23=[CASE($12, $5, 0.00:DECIMAL(18, 2))], $f24=[CASE($13, $5, 0.00:DECIMAL(18, 2))], $f25=[CASE($14, $5, 0.00:DECIMAL(18, 2))], $f26=[CASE($15, $5, 0.00:DECIMAL(18, 2))], $f27=[CASE($16, $5, 0.00:DECIMAL(18, 2))], $f28=[CASE($17, $5, 0.00:DECIMAL(18, 2))], $f29=[CASE($18, $5, 0.00:DECIMAL(18, 2))], $f30=[CASE($19, $5, 0.00:DECIMAL(18, 2))])
HiveJoin(condition=[=($2, $21)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($1, $20)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($3, $7)], joinType=[inner], algorithm=[none], cost=[not available])
@@ -57,7 +57,7 @@ HiveProject(w_warehouse_name=[$0], w_warehouse_sq_ft=[$1], w_city=[$2], w_county
HiveTableScan(table=[[default, time_dim]], table:alias=[time_dim])
HiveTableScan(table=[[cte, cte_suggestion_0]], table:alias=[cte_suggestion_0])
HiveProject(sm_ship_mode_sk=[$0])
- HiveFilter(condition=[OR(=($4, _UTF-16LE'DIAMOND'), =($4, _UTF-16LE'AIRBORNE'))])
+ HiveFilter(condition=[OR(=($4, 'AIRBORNE '), =($4, 'DIAMOND '))])
HiveTableScan(table=[[default, ship_mode]], table:alias=[ship_mode])
HiveProject(w_warehouse_sk=[$0], w_warehouse_name=[$2], w_warehouse_sq_ft=[$3], w_city=[$8], w_county=[$9], w_state=[$10], w_country=[$12])
HiveTableScan(table=[[default, warehouse]], table:alias=[warehouse])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query67.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query67.q.out
index e4150989e8da..37e1010d2904 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query67.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query67.q.out
@@ -8,7 +8,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], sort4=[$4], sort5=
HiveJoin(condition=[=($0, $10)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($1, $8)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($2, $4)], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(ss_item_sk=[$1], ss_store_sk=[$6], ss_sold_date_sk=[$22], $f8=[CASE(AND(IS NOT NULL($12), IS NOT NULL(CAST($9):DECIMAL(10, 0))), *($12, CAST($9):DECIMAL(10, 0)), 0:DECIMAL(18, 2))])
+ HiveProject(ss_item_sk=[$1], ss_store_sk=[$6], ss_sold_date_sk=[$22], $f8=[CASE(AND(IS NOT NULL($12), IS NOT NULL($9)), *($12, CAST($9):DECIMAL(10, 0)), 0.00:DECIMAL(18, 2))])
HiveFilter(condition=[AND(IS NOT NULL($6), IS NOT NULL($22))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
HiveProject(d_date_sk=[$0], d_year=[$6], d_moy=[$8], d_qoy=[$10])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query68.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query68.q.out
index 7ffdf2cff7f6..2a467d3a3003 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query68.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query68.q.out
@@ -23,7 +23,7 @@ HiveSortLimit(sort0=[$0], sort1=[$4], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveFilter(condition=[AND(BETWEEN(false, $9, 1, 2), IN($6, 1998, 1999, 2000))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(s_store_sk=[$0])
- HiveFilter(condition=[IN($22, _UTF-16LE'Cedar Grove':VARCHAR(60) CHARACTER SET "UTF-16LE", _UTF-16LE'Wildwood':VARCHAR(60) CHARACTER SET "UTF-16LE")])
+ HiveFilter(condition=[IN($22, 'Cedar Grove':VARCHAR(60) CHARACTER SET "UTF-16LE", 'Wildwood':VARCHAR(60) CHARACTER SET "UTF-16LE")])
HiveTableScan(table=[[default, store]], table:alias=[store])
HiveProject(hd_demo_sk=[$0])
HiveFilter(condition=[OR(=($4, 1), =($3, 2))])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query69.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query69.q.out
index 9ffac55dfe01..8012b13dbaa2 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query69.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query69.q.out
@@ -19,7 +19,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$4], sort4=[$6], dir0=[
HiveFilter(condition=[AND(IS NOT NULL($2), IS NOT NULL($4))])
HiveTableScan(table=[[default, customer]], table:alias=[c])
HiveProject(ca_address_sk=[$0], ca_state=[$8])
- HiveFilter(condition=[IN($8, _UTF-16LE'CO', _UTF-16LE'IL', _UTF-16LE'MN')])
+ HiveFilter(condition=[IN($8, 'CO', 'IL', 'MN')])
HiveTableScan(table=[[default, customer_address]], table:alias=[ca])
HiveProject(ss_customer_sk=[$0])
HiveJoin(condition=[=($1, $2)], joinType=[inner], algorithm=[none], cost=[not available])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query7.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query7.q.out
index 5c5d16b51077..a29cee5d15c1 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query7.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query7.q.out
@@ -13,10 +13,10 @@ HiveSortLimit(sort0=[$0], dir0=[ASC], fetch=[100])
HiveFilter(condition=[=($6, 1998)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(cd_demo_sk=[$0])
- HiveFilter(condition=[AND(=($2, _UTF-16LE'W'), =($1, _UTF-16LE'F'), =($3, _UTF-16LE'Primary '))])
+ HiveFilter(condition=[AND(=($2, 'W'), =($1, 'F'), =($3, 'Primary '))])
HiveTableScan(table=[[default, customer_demographics]], table:alias=[customer_demographics])
HiveProject(p_promo_sk=[$0])
- HiveFilter(condition=[OR(=($9, _UTF-16LE'N'), =($14, _UTF-16LE'N'))])
+ HiveFilter(condition=[OR(=($9, 'N'), =($14, 'N'))])
HiveTableScan(table=[[default, promotion]], table:alias=[promotion])
HiveProject(i_item_sk=[$0], i_item_id=[$1])
HiveTableScan(table=[[default, item]], table:alias=[item])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query71.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query71.q.out
index 52f65c94dcf1..4a343c0e2f19 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query71.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query71.q.out
@@ -37,6 +37,6 @@ HiveProject(brand_id=[$0], brand=[$1], t_hour=[$2], t_minute=[$3], ext_price=[$4
HiveFilter(condition=[=($20, 1)])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(t_time_sk=[$0], t_hour=[$3], t_minute=[$4])
- HiveFilter(condition=[OR(=($9, _UTF-16LE'dinner'), =($9, _UTF-16LE'breakfast'))])
+ HiveFilter(condition=[OR(=($9, 'breakfast '), =($9, 'dinner '))])
HiveTableScan(table=[[default, time_dim]], table:alias=[time_dim])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query72.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query72.q.out
index 227b9d707cd2..9a35bac9ed77 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query72.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query72.q.out
@@ -20,10 +20,10 @@ HiveSortLimit(sort0=[$5], sort1=[$0], sort2=[$1], sort3=[$2], dir0=[DESC], dir1=
HiveFilter(condition=[AND(IS NOT NULL($17), IS NOT NULL($4), IS NOT NULL($3), IS NOT NULL($1), IS NOT NULL($33))])
HiveTableScan(table=[[default, catalog_sales]], table:alias=[catalog_sales])
HiveProject(hd_demo_sk=[$0])
- HiveFilter(condition=[=($2, _UTF-16LE'1001-5000 ')])
+ HiveFilter(condition=[=($2, '1001-5000 ')])
HiveTableScan(table=[[default, household_demographics]], table:alias=[household_demographics])
HiveProject(cd_demo_sk=[$0])
- HiveFilter(condition=[=($2, _UTF-16LE'M')])
+ HiveFilter(condition=[=($2, 'M')])
HiveTableScan(table=[[default, customer_demographics]], table:alias=[customer_demographics])
HiveProject(d_date_sk=[$0], d_week_seq=[$1], d_date_sk0=[$2], d_week_seq0=[$3], EXPR$0=[$4])
HiveJoin(condition=[=($3, $1)], joinType=[inner], algorithm=[none], cost=[not available])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query73.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query73.q.out
index 13dbe2ffe643..7c0f8da25cf8 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query73.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query73.q.out
@@ -18,9 +18,9 @@ HiveSortLimit(sort0=[$5], dir0=[DESC])
HiveFilter(condition=[AND(BETWEEN(false, $9, 1, 2), IN($6, 2000, 2001, 2002))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(hd_demo_sk=[$0])
- HiveFilter(condition=[AND(>($4, 0), IN($2, _UTF-16LE'>10000', _UTF-16LE'unknown'), CASE(>($4, 0), >(/(CAST($3):DOUBLE, CAST($4):DOUBLE), 1), false))])
+ HiveFilter(condition=[AND(>($4, 0), IN($2, '>10000 ', 'unknown '), CASE(>($4, 0), >(/(CAST($3):DOUBLE, CAST($4):DOUBLE), 1.0E0), false))])
HiveTableScan(table=[[default, household_demographics]], table:alias=[household_demographics])
HiveProject(s_store_sk=[$0])
- HiveFilter(condition=[IN($23, _UTF-16LE'Huron County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Kittitas County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Maverick County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Mobile County':VARCHAR(30) CHARACTER SET "UTF-16LE")])
+ HiveFilter(condition=[IN($23, 'Huron County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Kittitas County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Maverick County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Mobile County':VARCHAR(30) CHARACTER SET "UTF-16LE")])
HiveTableScan(table=[[default, store]], table:alias=[store])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query75.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query75.q.out
index 77b71a146683..b7c7b0acbb62 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query75.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query75.q.out
@@ -15,7 +15,7 @@ HiveProject(d_date_sk=[$0])
CTE Suggestion:
HiveProject(i_item_sk=[$0], i_brand_id=[$7], i_class_id=[$9], i_category_id=[$11], i_manufact_id=[$13])
- HiveFilter(condition=[AND(=($12, _UTF-16LE'Sports '), IS NOT NULL($7), IS NOT NULL($9), IS NOT NULL($11), IS NOT NULL($13))])
+ HiveFilter(condition=[AND(=($12, 'Sports '), IS NOT NULL($7), IS NOT NULL($9), IS NOT NULL($11), IS NOT NULL($13))])
HiveTableScan(table=[[default, item]], table:alias=[item])
CTE Suggestion:
@@ -59,7 +59,7 @@ HiveProject(prev_year=[CAST(2001):INTEGER], year=[CAST(2002):INTEGER], curr_yr.i
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveTableSpool(table=[[cte, cte_suggestion_3]])
HiveProject(i_item_sk=[$0], i_brand_id=[$7], i_class_id=[$9], i_category_id=[$11], i_manufact_id=[$13])
- HiveFilter(condition=[AND(=($12, _UTF-16LE'Sports '), IS NOT NULL($13), IS NOT NULL($11), IS NOT NULL($7), IS NOT NULL($9))])
+ HiveFilter(condition=[AND(=($12, 'Sports '), IS NOT NULL($13), IS NOT NULL($11), IS NOT NULL($7), IS NOT NULL($9))])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(i_brand_id=[$11], i_class_id=[$12], i_category_id=[$13], i_manufact_id=[$14], sales_cnt=[-($6, CASE(IS NOT NULL($2), $2, 0))], sales_amt=[-($7, CASE(IS NOT NULL($3), $3, 0:DECIMAL(1, 0)))])
HiveJoin(condition=[AND(=($4, $0), =($5, $1))], joinType=[right], algorithm=[none], cost=[not available])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query76.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query76.q.out
index 86e531d376d4..534080f01639 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query76.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query76.q.out
@@ -4,7 +4,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], sort4=[$4], dir0=[
HiveAggregate(group=[{0, 1, 2, 3, 4}], agg#0=[count()], agg#1=[sum($5)])
HiveProject(channel=[$0], col_name=[$1], d_year=[$2], d_qoy=[$3], i_category=[$4], ext_sales_price=[$5])
HiveUnion(all=[true])
- HiveProject(channel=[_UTF-16LE'store':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], col_name=[_UTF-16LE'ss_addr_sk':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], d_year=[$1], d_qoy=[$2], i_category=[$7], ext_sales_price=[$4])
+ HiveProject(channel=['store':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], col_name=['ss_addr_sk':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], d_year=[$1], d_qoy=[$2], i_category=[$7], ext_sales_price=[$4])
HiveJoin(condition=[=($3, $6)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($5, $0)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(d_date_sk=[$0], d_year=[$6], d_qoy=[$10])
@@ -14,7 +14,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], sort4=[$4], dir0=[
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
HiveProject(i_item_sk=[$0], i_category=[$12])
HiveTableScan(table=[[default, item]], table:alias=[item])
- HiveProject(channel=[_UTF-16LE'web':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], col_name=[_UTF-16LE'ws_web_page_sk':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], d_year=[$4], d_qoy=[$5], i_category=[$7], ext_sales_price=[$1])
+ HiveProject(channel=['web':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], col_name=['ws_web_page_sk':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], d_year=[$4], d_qoy=[$5], i_category=[$7], ext_sales_price=[$1])
HiveJoin(condition=[=($0, $6)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($2, $3)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(ws_item_sk=[$2], ws_ext_sales_price=[$22], ws_sold_date_sk=[$33])
@@ -24,7 +24,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], sort4=[$4], dir0=[
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(i_item_sk=[$0], i_category=[$12])
HiveTableScan(table=[[default, item]], table:alias=[item])
- HiveProject(channel=[_UTF-16LE'catalog':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], col_name=[_UTF-16LE'cs_warehouse_sk':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], d_year=[$4], d_qoy=[$5], i_category=[$7], ext_sales_price=[$1])
+ HiveProject(channel=['catalog':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], col_name=['cs_warehouse_sk':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], d_year=[$4], d_qoy=[$5], i_category=[$7], ext_sales_price=[$1])
HiveJoin(condition=[=($0, $6)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($2, $3)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(cs_item_sk=[$14], cs_ext_sales_price=[$22], cs_sold_date_sk=[$33])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query77.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query77.q.out
index 3f692d3766bd..33297437e349 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query77.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query77.q.out
@@ -10,7 +10,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveAggregate(group=[{0, 1}], groups=[[{0, 1}, {0}, {}]], agg#0=[sum($2)], agg#1=[sum($3)], agg#2=[sum($4)])
HiveProject(channel=[$0], id=[$1], sales=[$2], returns=[$3], profit=[$4])
HiveUnion(all=[true])
- HiveProject(channel=[_UTF-16LE'store channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[$0], sales=[$1], returns=[CASE(IS NOT NULL($4), $4, 0:DECIMAL(17, 2))], profit=[-($2, CASE(IS NOT NULL($5), $5, 0:DECIMAL(17, 2)))])
+ HiveProject(channel=['store channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[$0], sales=[$1], returns=[CASE(IS NOT NULL($4), $4, 0.00:DECIMAL(17, 2))], profit=[-($2, CASE(IS NOT NULL($5), $5, 0.00:DECIMAL(17, 2)))])
HiveJoin(condition=[=($0, $3)], joinType=[left], algorithm=[none], cost=[not available])
HiveProject(ss_store_sk=[$0], $f1=[$1], $f2=[$2])
HiveAggregate(group=[{0}], agg#0=[sum($1)], agg#1=[sum($2)])
@@ -32,7 +32,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveProject(d_date_sk=[$0])
HiveFilter(condition=[BETWEEN(false, CAST($2):TIMESTAMP(9), 1998-08-04 00:00:00:TIMESTAMP(9), 1998-09-03 00:00:00:TIMESTAMP(9))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
- HiveProject(channel=[_UTF-16LE'catalog channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[$0], sales=[$1], returns=[$3], profit=[-($2, $4)])
+ HiveProject(channel=['catalog channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[$0], sales=[$1], returns=[$3], profit=[-($2, $4)])
HiveJoin(condition=[true], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(cs_call_center_sk=[$0], $f1=[$1], $f2=[$2])
HiveAggregate(group=[{0}], agg#0=[sum($1)], agg#1=[sum($2)])
@@ -52,7 +52,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveProject(d_date_sk=[$0])
HiveFilter(condition=[BETWEEN(false, CAST($2):TIMESTAMP(9), 1998-08-04 00:00:00:TIMESTAMP(9), 1998-09-03 00:00:00:TIMESTAMP(9))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
- HiveProject(channel=[_UTF-16LE'web channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[$0], sales=[$1], returns=[CASE(IS NOT NULL($4), $4, 0:DECIMAL(17, 2))], profit=[-($2, CASE(IS NOT NULL($5), $5, 0:DECIMAL(17, 2)))])
+ HiveProject(channel=['web channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[$0], sales=[$1], returns=[CASE(IS NOT NULL($4), $4, 0.00:DECIMAL(17, 2))], profit=[-($2, CASE(IS NOT NULL($5), $5, 0.00:DECIMAL(17, 2)))])
HiveJoin(condition=[=($0, $3)], joinType=[left], algorithm=[none], cost=[not available])
HiveProject(ws_web_page_sk=[$0], $f1=[$1], $f2=[$2])
HiveAggregate(group=[{0}], agg#0=[sum($1)], agg#1=[sum($2)])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query78.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query78.q.out
index 68fb16cf9787..3e80cc6a1298 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query78.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query78.q.out
@@ -6,7 +6,7 @@ HiveProject(d_date_sk=[$0])
CBO PLAN:
HiveProject(ss_sold_year=[CAST(2000):INTEGER], ss_item_sk=[$0], ss_customer_sk=[$1], ratio=[$2], store_qty=[$3], store_wholesale_cost=[$4], store_sales_price=[$5], other_chan_qty=[$6], other_chan_wholesale_cost=[$7], other_chan_sales_price=[$8])
HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$9], sort3=[$10], sort4=[$11], sort5=[$6], sort6=[$7], sort7=[$8], sort8=[$12], dir0=[ASC], dir1=[ASC], dir2=[DESC], dir3=[DESC], dir4=[DESC], dir5=[ASC], dir6=[ASC], dir7=[ASC], dir8=[ASC], fetch=[100])
- HiveProject(ss_item_sk=[$0], ss_customer_sk=[$1], ratio=[round(/(CAST($2):DOUBLE, CAST(CASE(AND(IS NOT NULL($7), IS NOT NULL($11)), +($7, $11), 1:BIGINT)):DOUBLE), 2)], store_qty=[$2], store_wholesale_cost=[$3], store_sales_price=[$4], other_chan_qty=[+(CASE(IS NOT NULL($7), $7, 0:BIGINT), CASE(IS NOT NULL($11), $11, 0:BIGINT))], other_chan_wholesale_cost=[+(CASE(IS NOT NULL($8), $8, 0:DECIMAL(17, 2)), CASE(IS NOT NULL($12), $12, 0:DECIMAL(17, 2)))], other_chan_sales_price=[+(CASE(IS NOT NULL($9), $9, 0:DECIMAL(17, 2)), CASE(IS NOT NULL($13), $13, 0:DECIMAL(17, 2)))], ss_qty=[$2], ss_wc=[$3], ss_sp=[$4], (tok_function round (/ (tok_table_or_col ss_qty) (tok_function coalesce (+ (tok_table_or_col ws_qty) (tok_table_or_col cs_qty)) 1)) 2)=[round(/(CAST($2):DOUBLE, CAST(CASE(AND(IS NOT NULL($7), IS NOT NULL($11)), +($7, $11), 1:BIGINT)):DOUBLE), 2)])
+ HiveProject(ss_item_sk=[$0], ss_customer_sk=[$1], ratio=[round(/(CAST($2):DOUBLE, CAST(CASE(AND(IS NOT NULL($7), IS NOT NULL($11)), +($7, $11), 1:BIGINT)):DOUBLE), 2)], store_qty=[$2], store_wholesale_cost=[$3], store_sales_price=[$4], other_chan_qty=[+(CASE(IS NOT NULL($7), $7, 0:BIGINT), CASE(IS NOT NULL($11), $11, 0:BIGINT))], other_chan_wholesale_cost=[+(CASE(IS NOT NULL($8), $8, 0.00:DECIMAL(17, 2)), CASE(IS NOT NULL($12), $12, 0.00:DECIMAL(17, 2)))], other_chan_sales_price=[+(CASE(IS NOT NULL($9), $9, 0.00:DECIMAL(17, 2)), CASE(IS NOT NULL($13), $13, 0.00:DECIMAL(17, 2)))], ss_qty=[$2], ss_wc=[$3], ss_sp=[$4], (tok_function round (/ (tok_table_or_col ss_qty) (tok_function coalesce (+ (tok_table_or_col ws_qty) (tok_table_or_col cs_qty)) 1)) 2)=[round(/(CAST($2):DOUBLE, CAST(CASE(AND(IS NOT NULL($7), IS NOT NULL($11)), +($7, $11), 1:BIGINT)):DOUBLE), 2)])
HiveJoin(condition=[=($10, $1)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[AND(=($6, $1), =($5, $0))], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(ss_item_sk=[$0], ss_customer_sk=[$1], $f2=[$2], $f3=[$3], $f4=[$4])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query8.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query8.q.out
index 365ec254866a..1f3d8cc5792a 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query8.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query8.q.out
@@ -20,7 +20,7 @@ HiveSortLimit(sort0=[$0], dir0=[ASC], fetch=[100])
HiveProject($f0=[$0], $f1=[$1])
HiveAggregate(group=[{0}], agg#0=[count()])
HiveProject($f0=[substr($9, 1, 5)])
- HiveFilter(condition=[AND(IN(substr($9, 1, 5), _UTF-16LE'89436':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'30868':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'65085':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'22977':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'83927':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'77557':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'58429':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'40697':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'80614':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'10502':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'32779':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'91137':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'61265':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'98294':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'17921':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'18427':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'21203':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'59362':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'87291':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'84093':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'21505':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'17184':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'10866':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'67898':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'25797':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'28055':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'18377':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'80332':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'74535':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'21757':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'29742':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'90885':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'29898':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'17819':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'40811':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'25990':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'47513':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'89531':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'91068':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'10391':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'18846':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'99223':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'82637':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'41368':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'83658':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'86199':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'81625':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'26696':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'89338':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'88425':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'32200':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'81427':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'19053':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'77471':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'36610':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'99823':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'43276':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'41249':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'48584':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'83550':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'82276':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'18842':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 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CHARACTER SET "UTF-16LE", _UTF-16LE'77209':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'15482':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'10688':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'14868':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'45907':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'73520':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'72666':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'25734':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'17959':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'24677':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'66446':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'94627':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'53535':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'15560':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'41967':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 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CHARACTER SET "UTF-16LE", _UTF-16LE'21286':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'58471':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'59080':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'13395':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'79144':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'70373':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'67031':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'38360':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'26705':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'50906':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'52406':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'26066':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'73146':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'15884':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'31897':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 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"UTF-16LE", _UTF-16LE'13261':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'14172':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'81410':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'93578':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'83583':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'46047':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'94167':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'82564':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'21156':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'15799':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'86709':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'37931':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'74703':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'83103':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'23054':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'70470':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'72008':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'49247':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'91911':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'69998':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'20961':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'70070':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'63197':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'54853':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'88191':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'91830':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'49521':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'19454':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'81450':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'89091':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'62378':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'25683':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'61869':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'51744':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'36580':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'85778':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'36871':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'48121':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'28810':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'83712':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'45486':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'67393':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'26935':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'42393':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'20132':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'55349':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'86057':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'21309':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'80218':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'10094':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'11357':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'48819':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'39734':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'40758':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'30432':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'21204':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'29467':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'30214':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'61024':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'55307':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'74621':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'11622':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'68908':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'33032':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'52868':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'99194':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'99900':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'84936':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'69036':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'99149':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'45013':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'32895':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'59004':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'32322':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'14933':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'32936':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'33562':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'72550':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'27385':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'58049':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'58200':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'16808':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'21360':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'32961':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'18586':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'79307':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'15492':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), IS NOT NULL(substr(substr($9, 1, 5), 1, 2)))])
+ HiveFilter(condition=[AND(IN(substr($9, 1, 5), '89436':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '30868':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '65085':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '22977':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '83927':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '77557':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '58429':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '40697':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '80614':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '10502':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '32779':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '91137':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '61265':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '98294':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '17921':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '18427':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '21203':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '59362':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '87291':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '84093':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '21505':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '17184':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '10866':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '67898':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '25797':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '28055':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '18377':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '80332':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '74535':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '21757':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '29742':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '90885':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '29898':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '17819':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '40811':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '25990':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '47513':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '89531':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '91068':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '10391':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '18846':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '99223':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '82637':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '41368':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '83658':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '86199':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '81625':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '26696':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '89338':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '88425':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '32200':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '81427':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '19053':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '77471':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '36610':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '99823':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '43276':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '41249':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '48584':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '83550':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '82276':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '18842':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '78890':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '14090':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '38123':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '40936':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '34425':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '19850':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '43286':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '80072':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '79188':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '54191':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '11395':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '50497':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '84861':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '90733':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '21068':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '57666':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '37119':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '25004':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '57835':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '70067':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '62878':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '95806':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '19303':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '18840':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '19124':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '29785':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '16737':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '16022':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '49613':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '89977':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '68310':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '60069':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '98360':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '48649':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '39050':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '41793':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '25002':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '27413':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '39736':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '47208':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '16515':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '94808':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '57648':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '15009':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '80015':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '42961':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '63982':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '21744':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '71853':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '81087':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '67468':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '34175':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '64008':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '20261':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '11201':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '51799':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '48043':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '45645':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '61163':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '48375':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '36447':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '57042':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '21218':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '41100':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '89951':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '22745':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '35851':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '83326':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '61125':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '78298':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '80752':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '49858':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '52940':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '96976':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '63792':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '11376':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '53582':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '18717':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '90226':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '50530':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '94203':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '99447':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '27670':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '96577':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '57856':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '56372':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '16165':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '23427':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '54561':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '28806':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '44439':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '22926':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '30123':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '61451':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '92397':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '56979':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '92309':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '70873':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '13355':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '21801':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '46346':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '37562':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '56458':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '28286':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '47306':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '99555':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '69399':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '26234':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '47546':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '49661':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '88601':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '35943':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '39936':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '25632':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '24611':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '44166':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '56648':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '30379':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '59785':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '11110':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '14329':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '93815':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '52226':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '71381':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '13842':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '25612':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '63294':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '14664':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '21077':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '82626':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '18799':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '60915':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '81020':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '56447':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '76619':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '11433':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '13414':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '42548':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '92713':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '70467':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '30884':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '47484':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '16072':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '38936':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '13036':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '88376':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '45539':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '35901':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '19506':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '65690':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '73957':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '71850':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '49231':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '14276':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '20005':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '18384':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '76615':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '11635':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '38177':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '55607':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '41369':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '95447':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '58581':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '58149':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '91946':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '33790':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '76232':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '75692':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '95464':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '22246':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '51061':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '56692':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '53121':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '77209':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '15482':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '10688':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '14868':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '45907':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '73520':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '72666':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '25734':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '17959':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '24677':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '66446':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '94627':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '53535':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '15560':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '41967':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '69297':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '11929':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '59403':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '33283':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '52232':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '57350':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '43933':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '40921':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '36635':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '10827':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '71286':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '19736':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '80619':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '25251':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '95042':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '15526':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '36496':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '55854':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '49124':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '81980':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '35375':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '49157':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '63512':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '28944':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '14946':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '36503':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '54010':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '18767':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '23969':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '43905':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '66979':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '33113':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '21286':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '58471':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '59080':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '13395':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '79144':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '70373':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '67031':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '38360':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '26705':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '50906':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '52406':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '26066':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '73146':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '15884':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '31897':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '30045':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '61068':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '45550':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '92454':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '13376':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '14354':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '19770':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '22928':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '97790':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '50723':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '46081':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '30202':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '14410':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '20223':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '88500':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '67298':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '13261':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '14172':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '81410':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '93578':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '83583':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '46047':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '94167':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '82564':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '21156':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '15799':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '86709':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '37931':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '74703':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '83103':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '23054':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '70470':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '72008':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '49247':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '91911':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '69998':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '20961':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '70070':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '63197':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '54853':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '88191':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '91830':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '49521':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '19454':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '81450':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '89091':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '62378':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '25683':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '61869':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '51744':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '36580':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '85778':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '36871':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '48121':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '28810':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '83712':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '45486':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '67393':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '26935':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '42393':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '20132':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '55349':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '86057':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '21309':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '80218':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '10094':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '11357':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '48819':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '39734':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '40758':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '30432':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '21204':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '29467':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '30214':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '61024':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '55307':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '74621':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '11622':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '68908':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '33032':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '52868':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '99194':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '99900':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '84936':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '69036':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '99149':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '45013':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '32895':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '59004':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '32322':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '14933':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '32936':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '33562':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '72550':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '27385':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '58049':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '58200':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '16808':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '21360':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '32961':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '18586':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '79307':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '15492':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), IS NOT NULL(substr(substr($9, 1, 5), 1, 2)))])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveProject($f0=[$0], $f1=[$1])
HiveAggregate(group=[{0}], agg#0=[count()])
@@ -32,7 +32,7 @@ HiveSortLimit(sort0=[$0], dir0=[ASC], fetch=[100])
HiveFilter(condition=[IS NOT NULL(substr(substr($9, 1, 5), 1, 2))])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveProject(c_current_addr_sk=[$4])
- HiveFilter(condition=[AND(=($10, _UTF-16LE'Y'), IS NOT NULL($4))])
+ HiveFilter(condition=[AND(=($10, 'Y'), IS NOT NULL($4))])
HiveTableScan(table=[[default, customer]], table:alias=[customer])
HiveProject(s_store_sk=[$0], s_store_name=[$5], EXPR$0=[substr($25, 1, 2)])
HiveFilter(condition=[IS NOT NULL(substr($25, 1, 2))])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query80.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query80.q.out
index 701c91b3a694..003887337c67 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query80.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query80.q.out
@@ -10,7 +10,7 @@ HiveProject(i_item_sk=[$0])
CTE Suggestion:
HiveProject(p_promo_sk=[$0])
- HiveFilter(condition=[=($11, _UTF-16LE'N')])
+ HiveFilter(condition=[=($11, 'N')])
HiveTableScan(table=[[default, promotion]], table:alias=[promotion])
CBO PLAN:
@@ -19,9 +19,9 @@ HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveAggregate(group=[{0, 1}], groups=[[{0, 1}, {0}, {}]], agg#0=[sum($2)], agg#1=[sum($3)], agg#2=[sum($4)])
HiveProject(channel=[$0], id=[$1], sales=[$2], returns=[$3], profit=[$4])
HiveUnion(all=[true])
- HiveProject(channel=[_UTF-16LE'store channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[||(_UTF-16LE'store':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0)], sales=[$1], returns=[$2], profit=[$3])
+ HiveProject(channel=['store channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[||('store':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0)], sales=[$1], returns=[$2], profit=[$3])
HiveAggregate(group=[{0}], agg#0=[sum($1)], agg#1=[sum($2)], agg#2=[sum($3)])
- HiveProject($f0=[$15], $f1=[$4], $f2=[CASE(IS NOT NULL($9), $9, 0:DECIMAL(12, 2))], $f3=[-($5, CASE(IS NOT NULL($10), $10, 0:DECIMAL(12, 2)))])
+ HiveProject($f0=[$15], $f1=[$4], $f2=[CASE(IS NOT NULL($9), $9, 0.00:DECIMAL(12, 2))], $f3=[-($5, CASE(IS NOT NULL($10), $10, 0.00:DECIMAL(12, 2)))])
HiveJoin(condition=[=($1, $14)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($2, $13)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($0, $12)], joinType=[inner], algorithm=[none], cost=[not available])
@@ -41,13 +41,13 @@ HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveTableSpool(table=[[cte, cte_suggestion_2]])
HiveProject(p_promo_sk=[$0])
- HiveFilter(condition=[=($11, _UTF-16LE'N')])
+ HiveFilter(condition=[=($11, 'N')])
HiveTableScan(table=[[default, promotion]], table:alias=[promotion])
HiveProject(s_store_sk=[$0], s_store_id=[$1])
HiveTableScan(table=[[default, store]], table:alias=[store])
- HiveProject(channel=[_UTF-16LE'catalog channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[||(_UTF-16LE'catalog_page':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0)], sales=[$1], returns=[$2], profit=[$3])
+ HiveProject(channel=['catalog channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[||('catalog_page':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0)], sales=[$1], returns=[$2], profit=[$3])
HiveAggregate(group=[{0}], agg#0=[sum($1)], agg#1=[sum($2)], agg#2=[sum($3)])
- HiveProject($f0=[$15], $f1=[$4], $f2=[CASE(IS NOT NULL($9), $9, 0:DECIMAL(12, 2))], $f3=[-($5, CASE(IS NOT NULL($10), $10, 0:DECIMAL(12, 2)))])
+ HiveProject($f0=[$15], $f1=[$4], $f2=[CASE(IS NOT NULL($9), $9, 0.00:DECIMAL(12, 2))], $f3=[-($5, CASE(IS NOT NULL($10), $10, 0.00:DECIMAL(12, 2)))])
HiveJoin(condition=[=($0, $14)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($2, $13)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($1, $12)], joinType=[inner], algorithm=[none], cost=[not available])
@@ -65,9 +65,9 @@ HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveTableScan(table=[[cte, cte_suggestion_2]], table:alias=[cte_suggestion_2])
HiveProject(cp_catalog_page_sk=[$0], cp_catalog_page_id=[$1])
HiveTableScan(table=[[default, catalog_page]], table:alias=[catalog_page])
- HiveProject(channel=[_UTF-16LE'web channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[||(_UTF-16LE'web_site':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0)], sales=[$1], returns=[$2], profit=[$3])
+ HiveProject(channel=['web channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[||('web_site':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0)], sales=[$1], returns=[$2], profit=[$3])
HiveAggregate(group=[{0}], agg#0=[sum($1)], agg#1=[sum($2)], agg#2=[sum($3)])
- HiveProject($f0=[$15], $f1=[$4], $f2=[CASE(IS NOT NULL($9), $9, 0:DECIMAL(12, 2))], $f3=[-($5, CASE(IS NOT NULL($10), $10, 0:DECIMAL(12, 2)))])
+ HiveProject($f0=[$15], $f1=[$4], $f2=[CASE(IS NOT NULL($9), $9, 0.00:DECIMAL(12, 2))], $f3=[-($5, CASE(IS NOT NULL($10), $10, 0.00:DECIMAL(12, 2)))])
HiveJoin(condition=[=($1, $14)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($2, $13)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($0, $12)], joinType=[inner], algorithm=[none], cost=[not available])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query81.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query81.q.out
index 250ee1b75f8b..abef3ae984ba 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query81.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query81.q.out
@@ -9,7 +9,7 @@ HiveProject(d_date_sk=[$0])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
CBO PLAN:
-HiveProject(c_customer_id=[$0], c_salutation=[$1], c_first_name=[$2], c_last_name=[$3], ca_street_number=[$4], ca_street_name=[$5], ca_street_type=[$6], ca_suite_number=[$7], ca_city=[$8], ca_county=[$9], ca_state=[CAST(_UTF-16LE'IL'):CHAR(2) CHARACTER SET "UTF-16LE"], ca_zip=[$10], ca_country=[$11], ca_gmt_offset=[$12], ca_location_type=[$13], ctr_total_return=[$14])
+HiveProject(c_customer_id=[$0], c_salutation=[$1], c_first_name=[$2], c_last_name=[$3], ca_street_number=[$4], ca_street_name=[$5], ca_street_type=[$6], ca_suite_number=[$7], ca_city=[$8], ca_county=[$9], ca_state=[CAST('IL'):CHAR(2) CHARACTER SET "UTF-16LE"], ca_zip=[$10], ca_country=[$11], ca_gmt_offset=[$12], ca_location_type=[$13], ctr_total_return=[$14])
HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], sort4=[$4], sort5=[$5], sort6=[$6], sort7=[$7], sort8=[$8], sort9=[$9], sort10=[$10], sort11=[$11], sort12=[$12], sort13=[$13], sort14=[$14], dir0=[ASC], dir1=[ASC], dir2=[ASC], dir3=[ASC], dir4=[ASC], dir5=[ASC], dir6=[ASC], dir7=[ASC], dir8=[ASC], dir9=[ASC], dir10=[ASC], dir11=[ASC], dir12=[ASC], dir13=[ASC], dir14=[ASC], fetch=[100])
HiveProject(c_customer_id=[$1], c_salutation=[$3], c_first_name=[$4], c_last_name=[$5], ca_street_number=[$7], ca_street_name=[$8], ca_street_type=[$9], ca_suite_number=[$10], ca_city=[$11], ca_county=[$12], ca_zip=[$13], ca_country=[$14], ca_gmt_offset=[$15], ca_location_type=[$16], ctr_total_return=[$19])
HiveJoin(condition=[AND(=($18, $21), >($19, $20))], joinType=[inner], algorithm=[none], cost=[not available])
@@ -19,7 +19,7 @@ HiveProject(c_customer_id=[$0], c_salutation=[$1], c_first_name=[$2], c_last_nam
HiveFilter(condition=[IS NOT NULL($4)])
HiveTableScan(table=[[default, customer]], table:alias=[customer])
HiveProject(ca_address_sk=[$0], ca_street_number=[$2], ca_street_name=[$3], ca_street_type=[$4], ca_suite_number=[$5], ca_city=[$6], ca_county=[$7], ca_zip=[$9], ca_country=[$10], ca_gmt_offset=[$11], ca_location_type=[$12])
- HiveFilter(condition=[=($8, _UTF-16LE'IL')])
+ HiveFilter(condition=[=($8, 'IL')])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveProject(cr_returning_customer_sk=[$0], ca_state=[$1], $f2=[$2])
HiveFilter(condition=[IS NOT NULL($2)])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query82.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query82.q.out
index 44172d451daa..a09396c80713 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query82.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query82.q.out
@@ -11,7 +11,7 @@ HiveSortLimit(sort0=[$0], dir0=[ASC], fetch=[100])
HiveFilter(condition=[BETWEEN(false, $3, 100, 500)])
HiveTableScan(table=[[default, inventory]], table:alias=[inventory])
HiveProject(i_item_sk=[$0], i_item_id=[$1], i_item_desc=[$4], i_current_price=[$5])
- HiveFilter(condition=[AND(IN($13, 129, 437, 663, 727), BETWEEN(false, $5, 30:DECIMAL(12, 2), 60:DECIMAL(12, 2)))])
+ HiveFilter(condition=[AND(IN($13, 129, 437, 663, 727), BETWEEN(false, $5, 30.00:DECIMAL(12, 2), 60.00:DECIMAL(12, 2)))])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(d_date_sk=[$0])
HiveFilter(condition=[BETWEEN(false, CAST($2):TIMESTAMP(9), 2002-05-30 00:00:00:TIMESTAMP(9), 2002-07-29 00:00:00:TIMESTAMP(9))])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query83.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query83.q.out
index 1dc1f64fc658..786292cc0d75 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query83.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query83.q.out
@@ -15,7 +15,7 @@ HiveProject(d_date_sk=[$0], d_date=[$2])
CBO PLAN:
HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
- HiveProject(sr_items.item_id=[$0], sr_item_qty=[$3], sr_dev=[*(/(/(CAST($3):DOUBLE, CAST(+(+($3, $1), $5)):DOUBLE), 3), 100)], cr_item_qty=[$1], cr_dev=[*(/(/(CAST($1):DOUBLE, CAST(+(+($3, $1), $5)):DOUBLE), 3), 100)], wr_item_qty=[$5], wr_dev=[*(/(/($6, CAST(+(+($3, $1), $5)):DOUBLE), 3), 100)], average=[/(CAST(+(+($3, $1), $5)):DECIMAL(19, 0), 3:DECIMAL(1, 0))])
+ HiveProject(sr_items.item_id=[$0], sr_item_qty=[$3], sr_dev=[*(/(/(CAST($3):DOUBLE, CAST(+(+($3, $1), $5)):DOUBLE), 3.0E0), 100.0E0)], cr_item_qty=[$1], cr_dev=[*(/(/(CAST($1):DOUBLE, CAST(+(+($3, $1), $5)):DOUBLE), 3.0E0), 100.0E0)], wr_item_qty=[$5], wr_dev=[*(/(/($6, CAST(+(+($3, $1), $5)):DOUBLE), 3.0E0), 100.0E0)], average=[/(CAST(+(+($3, $1), $5)):DECIMAL(19, 0), 3:DECIMAL(1, 0))])
HiveJoin(condition=[=($0, $4)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($2, $0)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(i_item_id=[$0], $f1=[$1])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query84.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query84.q.out
index 23cc2cb99181..a02b370668e8 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query84.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query84.q.out
@@ -12,11 +12,11 @@ HiveProject(customer_id=[$0], customername=[$1])
HiveProject(c_customer_id=[$0], c_current_cdemo_sk=[$1], c_current_hdemo_sk=[$2], c_current_addr_sk=[$3], customername=[$4], ca_address_sk=[$5], hd_demo_sk=[$6], hd_income_band_sk=[$7], ib_income_band_sk=[$8])
HiveJoin(condition=[=($6, $2)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($3, $5)], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(c_customer_id=[$1], c_current_cdemo_sk=[$2], c_current_hdemo_sk=[$3], c_current_addr_sk=[$4], customername=[||(||($9, _UTF-16LE', ':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), $8)])
+ HiveProject(c_customer_id=[$1], c_current_cdemo_sk=[$2], c_current_hdemo_sk=[$3], c_current_addr_sk=[$4], customername=[||(||($9, ', ':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), $8)])
HiveFilter(condition=[AND(IS NOT NULL($3), IS NOT NULL($2), IS NOT NULL($4))])
HiveTableScan(table=[[default, customer]], table:alias=[customer])
HiveProject(ca_address_sk=[$0])
- HiveFilter(condition=[=($6, _UTF-16LE'Hopewell')])
+ HiveFilter(condition=[=($6, 'Hopewell')])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveProject(hd_demo_sk=[$0], hd_income_band_sk=[$1], ib_income_band_sk=[$2])
HiveJoin(condition=[=($2, $1)], joinType=[inner], algorithm=[none], cost=[not available])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query85.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query85.q.out
index c1814f85a24a..a3c45856a9d8 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query85.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query85.q.out
@@ -6,7 +6,7 @@ HiveProject(_c0=[$0], _c1=[$1], _c2=[$2], _c3=[$3])
HiveJoin(condition=[=($35, $15)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[AND(=($0, $11), =($1, $16), OR(AND($26, $27, $7), AND($28, $29, $8), AND($30, $31, $9)), OR(AND($20, $4), AND($21, $5), AND($22, $6)))], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($3, $10)], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(ws_item_sk=[$2], ws_order_number=[$16], ws_quantity=[$17], ws_sold_date_sk=[$33], EXPR$0=[BETWEEN(false, $32, 100:DECIMAL(12, 2), 200:DECIMAL(12, 2))], EXPR$1=[BETWEEN(false, $32, 150:DECIMAL(12, 2), 300:DECIMAL(12, 2))], EXPR$2=[BETWEEN(false, $32, 50:DECIMAL(12, 2), 250:DECIMAL(12, 2))], EXPR$3=[BETWEEN(false, $20, 100:DECIMAL(3, 0), 150:DECIMAL(3, 0))], EXPR$4=[BETWEEN(false, $20, 50:DECIMAL(3, 0), 100:DECIMAL(3, 0))], EXPR$5=[BETWEEN(false, $20, 150:DECIMAL(3, 0), 200:DECIMAL(3, 0))])
+ HiveProject(ws_item_sk=[$2], ws_order_number=[$16], ws_quantity=[$17], ws_sold_date_sk=[$33], EXPR$0=[BETWEEN(false, $32, 100.00:DECIMAL(12, 2), 200.00:DECIMAL(12, 2))], EXPR$1=[BETWEEN(false, $32, 150.00:DECIMAL(12, 2), 300.00:DECIMAL(12, 2))], EXPR$2=[BETWEEN(false, $32, 50.00:DECIMAL(12, 2), 250.00:DECIMAL(12, 2))], EXPR$3=[BETWEEN(false, $20, 100:DECIMAL(3, 0), 150:DECIMAL(3, 0))], EXPR$4=[BETWEEN(false, $20, 50:DECIMAL(3, 0), 100:DECIMAL(3, 0))], EXPR$5=[BETWEEN(false, $20, 150:DECIMAL(3, 0), 200:DECIMAL(3, 0))])
HiveFilter(condition=[AND(IS NOT NULL($20), IS NOT NULL($11), IS NOT NULL($32), IS NOT NULL($33))])
HiveTableScan(table=[[default, web_sales]], table:alias=[web_sales])
HiveProject(d_date_sk=[$0])
@@ -19,14 +19,14 @@ HiveProject(_c0=[$0], _c1=[$1], _c2=[$2], _c3=[$3])
HiveProject(wr_item_sk=[$1], wr_refunded_cdemo_sk=[$3], wr_refunded_addr_sk=[$5], wr_returning_cdemo_sk=[$7], wr_reason_sk=[$11], wr_order_number=[$12], wr_fee=[$17], wr_refunded_cash=[$19])
HiveFilter(condition=[AND(IS NOT NULL($7), IS NOT NULL($3), IS NOT NULL($11), IS NOT NULL($5))])
HiveTableScan(table=[[default, web_returns]], table:alias=[web_returns])
- HiveProject(ca_address_sk=[$0], EXPR$0=[IN($8, _UTF-16LE'GA', _UTF-16LE'KY', _UTF-16LE'NM')], EXPR$1=[IN($8, _UTF-16LE'IN', _UTF-16LE'MT', _UTF-16LE'OR')], EXPR$2=[IN($8, _UTF-16LE'MO', _UTF-16LE'WI', _UTF-16LE'WV')])
- HiveFilter(condition=[AND(IN($8, _UTF-16LE'GA', _UTF-16LE'IN', _UTF-16LE'KY', _UTF-16LE'MO', _UTF-16LE'MT', _UTF-16LE'NM', _UTF-16LE'OR', _UTF-16LE'WI', _UTF-16LE'WV'), =($10, _UTF-16LE'United States'))])
+ HiveProject(ca_address_sk=[$0], EXPR$0=[IN($8, 'GA', 'KY', 'NM')], EXPR$1=[IN($8, 'IN', 'MT', 'OR')], EXPR$2=[IN($8, 'MO', 'WI', 'WV')])
+ HiveFilter(condition=[AND(IN($8, 'GA', 'IN', 'KY', 'MO', 'MT', 'NM', 'OR', 'WI', 'WV'), =($10, 'United States'))])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
- HiveProject(cd_demo_sk=[$0], cd_marital_status=[$2], cd_education_status=[$3], EXPR$0=[=($2, _UTF-16LE'M')], EXPR$1=[=($3, _UTF-16LE'4 yr Degree')], EXPR$2=[=($2, _UTF-16LE'D')], EXPR$3=[=($3, _UTF-16LE'Primary')], EXPR$4=[=($2, _UTF-16LE'U')], EXPR$5=[=($3, _UTF-16LE'Advanced Degree')])
- HiveFilter(condition=[AND(IN($2, _UTF-16LE'D', _UTF-16LE'M', _UTF-16LE'U'), IN($3, _UTF-16LE'4 yr Degree', _UTF-16LE'Advanced Degree', _UTF-16LE'Primary'))])
+ HiveProject(cd_demo_sk=[$0], cd_marital_status=[$2], cd_education_status=[$3], EXPR$0=[=($2, 'M')], EXPR$1=[=($3, '4 yr Degree ')], EXPR$2=[=($2, 'D')], EXPR$3=[=($3, 'Primary ')], EXPR$4=[=($2, 'U')], EXPR$5=[=($3, 'Advanced Degree ')])
+ HiveFilter(condition=[AND(IN($2, 'D', 'M', 'U'), IN($3, '4 yr Degree ', 'Advanced Degree ', 'Primary '))])
HiveTableScan(table=[[default, customer_demographics]], table:alias=[cd1])
HiveProject(cd_demo_sk=[$0], cd_marital_status=[$2], cd_education_status=[$3])
- HiveFilter(condition=[AND(IN($2, _UTF-16LE'D', _UTF-16LE'M', _UTF-16LE'U'), IN($3, _UTF-16LE'4 yr Degree', _UTF-16LE'Advanced Degree', _UTF-16LE'Primary'))])
+ HiveFilter(condition=[AND(IN($2, 'D', 'M', 'U'), IN($3, '4 yr Degree ', 'Advanced Degree ', 'Primary '))])
HiveTableScan(table=[[default, customer_demographics]], table:alias=[cd2])
HiveProject(r_reason_sk=[$0], r_reason_desc=[$2])
HiveTableScan(table=[[default, reason]], table:alias=[reason])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query88.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query88.q.out
index 26b097303392..bd8506122233 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query88.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query88.q.out
@@ -5,7 +5,7 @@ HiveProject(hd_demo_sk=[$0])
CTE Suggestion:
HiveProject(s_store_sk=[$0])
- HiveFilter(condition=[=($5, _UTF-16LE'ese')])
+ HiveFilter(condition=[=($5, 'ese')])
HiveTableScan(table=[[default, store]], table:alias=[store])
CTE Suggestion:
@@ -46,7 +46,7 @@ HiveProject(s1.h8_30_to_9=[$0], s2.h9_to_9_30=[$7], s3.h9_30_to_10=[$6], s4.h10_
HiveTableScan(table=[[default, household_demographics]], table:alias=[household_demographics])
HiveTableSpool(table=[[cte, cte_suggestion_1]])
HiveProject(s_store_sk=[$0])
- HiveFilter(condition=[=($5, _UTF-16LE'ese')])
+ HiveFilter(condition=[=($5, 'ese')])
HiveTableScan(table=[[default, store]], table:alias=[store])
HiveProject($f0=[$0])
HiveAggregate(group=[{}], agg#0=[count()])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query89.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query89.q.out
index 4fd3daa1f1ed..b03cc014389b 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query89.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query89.q.out
@@ -13,7 +13,7 @@ HiveProject(tmp1.i_category=[$0], tmp1.i_class=[$1], tmp1.i_brand=[$2], tmp1.s_s
HiveFilter(condition=[AND(IS NOT NULL($6), IS NOT NULL($22))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
HiveProject(i_item_sk=[$0], i_brand=[$8], i_class=[$10], i_category=[$12])
- HiveFilter(condition=[AND(IN($10, _UTF-16LE'birdal', _UTF-16LE'musical', _UTF-16LE'pants', _UTF-16LE'parenting', _UTF-16LE'wallpaper', _UTF-16LE'womens'), IN($12, _UTF-16LE'Books', _UTF-16LE'Electronics', _UTF-16LE'Home', _UTF-16LE'Jewelry', _UTF-16LE'Men', _UTF-16LE'Shoes'), OR(AND(IN($12, _UTF-16LE'Books', _UTF-16LE'Electronics', _UTF-16LE'Home'), IN($10, _UTF-16LE'musical', _UTF-16LE'parenting', _UTF-16LE'wallpaper')), AND(IN($12, _UTF-16LE'Jewelry', _UTF-16LE'Men', _UTF-16LE'Shoes'), IN($10, _UTF-16LE'birdal', _UTF-16LE'pants', _UTF-16LE'womens'))))])
+ HiveFilter(condition=[AND(IN($10, 'birdal ', 'musical ', 'pants ', 'parenting ', 'wallpaper ', 'womens '), IN($12, 'Books ', 'Electronics ', 'Home ', 'Jewelry ', 'Men ', 'Shoes '), OR(AND(IN($12, 'Books ', 'Electronics ', 'Home '), IN($10, 'musical ', 'parenting ', 'wallpaper ')), AND(IN($12, 'Jewelry ', 'Men ', 'Shoes '), IN($10, 'birdal ', 'pants ', 'womens '))))])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(d_date_sk=[$0], d_moy=[$8])
HiveFilter(condition=[=($6, 2000)])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query91.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query91.q.out
index 8a70a2068f52..542cc0595cfd 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query91.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query91.q.out
@@ -23,10 +23,10 @@ HiveProject(call_center=[$0], call_center_name=[$1], manager=[$2], returns_loss=
HiveFilter(condition=[AND(IS NOT NULL($3), IS NOT NULL($2), IS NOT NULL($4))])
HiveTableScan(table=[[default, customer]], table:alias=[customer])
HiveProject(cd_demo_sk=[$0], cd_marital_status=[$2], cd_education_status=[$3])
- HiveFilter(condition=[AND(IN($2, _UTF-16LE'M', _UTF-16LE'W'), IN($3, _UTF-16LE'Advanced Degree', _UTF-16LE'Unknown'), IN(ROW($2, $3), ROW(_UTF-16LE'M', _UTF-16LE'Unknown '), ROW(_UTF-16LE'W', _UTF-16LE'Advanced Degree ')))])
+ HiveFilter(condition=[AND(IN($2, 'M', 'W'), IN($3, 'Advanced Degree ', 'Unknown '), IN(ROW($2, $3), ROW('M', 'Unknown '), ROW('W', 'Advanced Degree ')))])
HiveTableScan(table=[[default, customer_demographics]], table:alias=[customer_demographics])
HiveProject(hd_demo_sk=[$0])
- HiveFilter(condition=[LIKE($2, _UTF-16LE'0-500%':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")])
+ HiveFilter(condition=[LIKE($2, '0-500%':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")])
HiveTableScan(table=[[default, household_demographics]], table:alias=[household_demographics])
HiveProject(cc_call_center_sk=[$0], cc_call_center_id=[$1], cc_name=[$6], cc_manager=[$11])
HiveTableScan(table=[[default, call_center]], table:alias=[call_center])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query93.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query93.q.out
index b84f16e73260..2cce6b0cb9e0 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query93.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query93.q.out
@@ -11,6 +11,6 @@ HiveSortLimit(sort0=[$1], sort1=[$0], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveFilter(condition=[IS NOT NULL($7)])
HiveTableScan(table=[[default, store_returns]], table:alias=[store_returns])
HiveProject(r_reason_sk=[$0])
- HiveFilter(condition=[=($2, _UTF-16LE'Did not like the warranty ')])
+ HiveFilter(condition=[=($2, 'Did not like the warranty ')])
HiveTableScan(table=[[default, reason]], table:alias=[reason])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query94.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query94.q.out
index 5f14c7b74791..db2b77e06306 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query94.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query94.q.out
@@ -6,8 +6,8 @@ HiveProject(order count=[$0], total shipping cost=[$1], total net profit=[$2])
HiveProject(ws_ship_date_sk=[$2], ws_ship_addr_sk=[$3], ws_web_site_sk=[$4], ws_warehouse_sk=[$5], ws_order_number=[$6], ws_ext_ship_cost=[$7], ws_net_profit=[$8], d_date_sk=[$9], d_date=[$10], ca_address_sk=[$0], ca_state=[$1], web_site_sk=[$11], web_company_name=[$12])
HiveJoin(condition=[=($4, $11)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($3, $0)], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(ca_address_sk=[$0], ca_state=[CAST(_UTF-16LE'TX'):CHAR(2) CHARACTER SET "UTF-16LE"])
- HiveFilter(condition=[=($8, _UTF-16LE'TX')])
+ HiveProject(ca_address_sk=[$0], ca_state=[CAST('TX'):CHAR(2) CHARACTER SET "UTF-16LE"])
+ HiveFilter(condition=[=($8, 'TX')])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveJoin(condition=[=($0, $7)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(ws_ship_date_sk=[$1], ws_ship_addr_sk=[$10], ws_web_site_sk=[$12], ws_warehouse_sk=[$14], ws_order_number=[$16], ws_ext_ship_cost=[$27], ws_net_profit=[$32])
@@ -16,8 +16,8 @@ HiveProject(order count=[$0], total shipping cost=[$1], total net profit=[$2])
HiveProject(d_date_sk=[$0], d_date=[$2])
HiveFilter(condition=[BETWEEN(false, CAST($2):TIMESTAMP(9), 1999-05-01 00:00:00:TIMESTAMP(9), 1999-06-30 00:00:00:TIMESTAMP(9))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
- HiveProject(web_site_sk=[$0], web_company_name=[CAST(_UTF-16LE'pri '):CHAR(50) CHARACTER SET "UTF-16LE"])
- HiveFilter(condition=[=($14, _UTF-16LE'pri ')])
+ HiveProject(web_site_sk=[$0], web_company_name=[CAST('pri '):CHAR(50) CHARACTER SET "UTF-16LE"])
+ HiveFilter(condition=[=($14, 'pri ')])
HiveTableScan(table=[[default, web_site]], table:alias=[web_site])
HiveProject(ws_warehouse_sk=[$14], ws_order_number=[$16])
HiveFilter(condition=[IS NOT NULL($14)])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query95.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query95.q.out
index 57eaa4112026..ade0c5d94067 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query95.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query95.q.out
@@ -6,8 +6,8 @@ HiveProject(order count=[$0], total shipping cost=[$1], total net profit=[$2])
HiveProject(ws_ship_date_sk=[$2], ws_ship_addr_sk=[$3], ws_web_site_sk=[$4], ws_order_number=[$5], ws_ext_ship_cost=[$6], ws_net_profit=[$7], d_date_sk=[$8], d_date=[$9], ca_address_sk=[$0], ca_state=[$1], web_site_sk=[$10], web_company_name=[$11])
HiveJoin(condition=[=($4, $10)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($3, $0)], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(ca_address_sk=[$0], ca_state=[CAST(_UTF-16LE'TX'):CHAR(2) CHARACTER SET "UTF-16LE"])
- HiveFilter(condition=[=($8, _UTF-16LE'TX')])
+ HiveProject(ca_address_sk=[$0], ca_state=[CAST('TX'):CHAR(2) CHARACTER SET "UTF-16LE"])
+ HiveFilter(condition=[=($8, 'TX')])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveJoin(condition=[=($0, $6)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(ws_ship_date_sk=[$1], ws_ship_addr_sk=[$10], ws_web_site_sk=[$12], ws_order_number=[$16], ws_ext_ship_cost=[$27], ws_net_profit=[$32])
@@ -16,8 +16,8 @@ HiveProject(order count=[$0], total shipping cost=[$1], total net profit=[$2])
HiveProject(d_date_sk=[$0], d_date=[$2])
HiveFilter(condition=[BETWEEN(false, CAST($2):TIMESTAMP(9), 1999-05-01 00:00:00:TIMESTAMP(9), 1999-06-30 00:00:00:TIMESTAMP(9))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
- HiveProject(web_site_sk=[$0], web_company_name=[CAST(_UTF-16LE'pri '):CHAR(50) CHARACTER SET "UTF-16LE"])
- HiveFilter(condition=[=($14, _UTF-16LE'pri ')])
+ HiveProject(web_site_sk=[$0], web_company_name=[CAST('pri '):CHAR(50) CHARACTER SET "UTF-16LE"])
+ HiveFilter(condition=[=($14, 'pri ')])
HiveTableScan(table=[[default, web_site]], table:alias=[web_site])
HiveProject(ws_order_number=[$1])
HiveJoin(condition=[AND(=($1, $3), <>($0, $2))], joinType=[inner], algorithm=[none], cost=[not available])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query96.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query96.q.out
index a244bc3bc7bf..0a84ef02bf84 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query96.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query96.q.out
@@ -11,7 +11,7 @@ HiveProject(_c0=[$0])
HiveFilter(condition=[AND(=($3, 8), >=($4, 30))])
HiveTableScan(table=[[default, time_dim]], table:alias=[time_dim])
HiveProject(s_store_sk=[$0])
- HiveFilter(condition=[=($5, _UTF-16LE'ese')])
+ HiveFilter(condition=[=($5, 'ese')])
HiveTableScan(table=[[default, store]], table:alias=[store])
HiveProject(hd_demo_sk=[$0])
HiveFilter(condition=[=($3, 5)])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query98.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query98.q.out
index e6db70d26a68..bd654be79656 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query98.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query98.q.out
@@ -12,6 +12,6 @@ HiveProject(i_item_desc=[$0], i_category=[$1], i_class=[$2], i_current_price=[$3
HiveFilter(condition=[BETWEEN(false, CAST($2):TIMESTAMP(9), 2001-01-12 00:00:00:TIMESTAMP(9), 2001-02-11 00:00:00:TIMESTAMP(9))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(i_item_sk=[$0], i_item_id=[$1], i_item_desc=[$4], i_current_price=[$5], i_class=[$10], i_category=[$12])
- HiveFilter(condition=[IN($12, _UTF-16LE'Books', _UTF-16LE'Jewelry', _UTF-16LE'Sports')])
+ HiveFilter(condition=[IN($12, 'Books ', 'Jewelry ', 'Sports ')])
HiveTableScan(table=[[default, item]], table:alias=[item])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query11.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query11.q.out
index bd93eade32d8..03b358109c5f 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query11.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query11.q.out
@@ -438,7 +438,13 @@
"input": 1,
"name": "$1"
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 8,
+ "scale": 2
+ }
}
],
"rowCount": 6.6833812750590004E10
@@ -1349,7 +1355,13 @@
"input": 1,
"name": "$1"
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 8,
+ "scale": 2
+ }
}
],
"rowCount": 6.6833812750590004E10
@@ -2428,7 +2440,13 @@
"input": 1,
"name": "$1"
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 8,
+ "scale": 2
+ }
}
],
"rowCount": 1.7491657141260002E10
@@ -2754,7 +2772,13 @@
"input": 1,
"name": "$1"
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 8,
+ "scale": 2
+ }
}
],
"rowCount": 1.7491657141260002E10
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query12.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query12.q.out
index 0c0651b9de01..fa019787fd82 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query12.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query12.q.out
@@ -1262,27 +1262,27 @@
"name": "$12"
},
{
- "literal": "Books",
+ "literal": "Books ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 50
}
},
{
- "literal": "Jewelry",
+ "literal": "Jewelry ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 7
+ "precision": 50
}
},
{
- "literal": "Sports",
+ "literal": "Sports ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 6
+ "precision": 50
}
}
]
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query13.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query13.q.out
index 6d1952d92d18..96fdc04b5395 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query13.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query13.q.out
@@ -2114,27 +2114,27 @@
"name": "$3"
},
{
- "literal": "4 yr Degree",
+ "literal": "4 yr Degree ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 11
+ "precision": 20
}
},
{
- "literal": "Advanced Degree",
+ "literal": "Advanced Degree ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 15
+ "precision": 20
}
},
{
- "literal": "Primary",
+ "literal": "Primary ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 7
+ "precision": 20
}
}
]
@@ -2193,11 +2193,11 @@
"name": "$3"
},
{
- "literal": "4 yr Degree",
+ "literal": "4 yr Degree ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 11
+ "precision": 20
}
}
]
@@ -2235,11 +2235,11 @@
"name": "$3"
},
{
- "literal": "Primary",
+ "literal": "Primary ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 7
+ "precision": 20
}
}
]
@@ -2277,11 +2277,11 @@
"name": "$3"
},
{
- "literal": "Advanced Degree",
+ "literal": "Advanced Degree ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 15
+ "precision": 20
}
}
]
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query15.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query15.q.out
index dc20a8819e17..a098ab16c126 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query15.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query15.q.out
@@ -492,43 +492,6 @@
"input": 9,
"name": "$9"
},
- {
- "op": {
- "name": "IN",
- "kind": "OTHER_FUNCTION",
- "syntax": "SPECIAL"
- },
- "operands": [
- {
- "input": 8,
- "name": "$8"
- },
- {
- "literal": "CA",
- "type": {
- "type": "CHAR",
- "nullable": false,
- "precision": 2
- }
- },
- {
- "literal": "GA",
- "type": {
- "type": "CHAR",
- "nullable": false,
- "precision": 2
- }
- },
- {
- "literal": "WA",
- "type": {
- "type": "CHAR",
- "nullable": false,
- "precision": 2
- }
- }
- ]
- },
{
"op": {
"name": "IN",
@@ -572,7 +535,7 @@
"dynamic": false
},
{
- "literal": "85669",
+ "literal": "80348",
"type": {
"type": "VARCHAR",
"nullable": false,
@@ -580,7 +543,7 @@
}
},
{
- "literal": "86197",
+ "literal": "81792",
"type": {
"type": "VARCHAR",
"nullable": false,
@@ -588,7 +551,7 @@
}
},
{
- "literal": "88274",
+ "literal": "83405",
"type": {
"type": "VARCHAR",
"nullable": false,
@@ -596,7 +559,7 @@
}
},
{
- "literal": "83405",
+ "literal": "85392",
"type": {
"type": "VARCHAR",
"nullable": false,
@@ -604,7 +567,7 @@
}
},
{
- "literal": "86475",
+ "literal": "85460",
"type": {
"type": "VARCHAR",
"nullable": false,
@@ -612,7 +575,7 @@
}
},
{
- "literal": "85392",
+ "literal": "85669",
"type": {
"type": "VARCHAR",
"nullable": false,
@@ -620,7 +583,7 @@
}
},
{
- "literal": "85460",
+ "literal": "86197",
"type": {
"type": "VARCHAR",
"nullable": false,
@@ -628,7 +591,7 @@
}
},
{
- "literal": "80348",
+ "literal": "86475",
"type": {
"type": "VARCHAR",
"nullable": false,
@@ -636,7 +599,7 @@
}
},
{
- "literal": "81792",
+ "literal": "88274",
"type": {
"type": "VARCHAR",
"nullable": false,
@@ -644,6 +607,43 @@
}
}
]
+ },
+ {
+ "op": {
+ "name": "IN",
+ "kind": "OTHER_FUNCTION",
+ "syntax": "SPECIAL"
+ },
+ "operands": [
+ {
+ "input": 8,
+ "name": "$8"
+ },
+ {
+ "literal": "CA",
+ "type": {
+ "type": "CHAR",
+ "nullable": false,
+ "precision": 2
+ }
+ },
+ {
+ "literal": "GA",
+ "type": {
+ "type": "CHAR",
+ "nullable": false,
+ "precision": 2
+ }
+ },
+ {
+ "literal": "WA",
+ "type": {
+ "type": "CHAR",
+ "nullable": false,
+ "precision": 2
+ }
+ }
+ ]
}
],
"rowCount": 40000000
@@ -1749,13 +1749,13 @@
"input": 4,
"name": "$4"
},
- {
- "input": 9,
- "name": "$9"
- },
{
"input": 5,
"name": "$5"
+ },
+ {
+ "input": 9,
+ "name": "$9"
}
]
}
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query17.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query17.q.out
index a9e25b6517a4..ae4e2b3e47d3 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query17.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query17.q.out
@@ -4221,7 +4221,11 @@
}
]
}
- ]
+ ],
+ "type": {
+ "type": "DOUBLE",
+ "nullable": true
+ }
},
{
"op": {
@@ -4275,7 +4279,11 @@
"nullable": false
}
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
}
]
}
@@ -4354,7 +4362,11 @@
}
]
}
- ]
+ ],
+ "type": {
+ "type": "DOUBLE",
+ "nullable": true
+ }
},
{
"op": {
@@ -4408,7 +4420,11 @@
"nullable": false
}
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
}
]
}
@@ -4546,7 +4562,11 @@
}
]
}
- ]
+ ],
+ "type": {
+ "type": "DOUBLE",
+ "nullable": true
+ }
},
{
"op": {
@@ -4600,7 +4620,11 @@
"nullable": false
}
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
}
]
}
@@ -4679,7 +4703,11 @@
}
]
}
- ]
+ ],
+ "type": {
+ "type": "DOUBLE",
+ "nullable": true
+ }
},
{
"op": {
@@ -4733,7 +4761,11 @@
"nullable": false
}
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
}
]
}
@@ -4878,7 +4910,11 @@
}
]
}
- ]
+ ],
+ "type": {
+ "type": "DOUBLE",
+ "nullable": true
+ }
},
{
"op": {
@@ -4932,7 +4968,11 @@
"nullable": false
}
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
}
]
}
@@ -5043,7 +5083,11 @@
}
]
}
- ]
+ ],
+ "type": {
+ "type": "DOUBLE",
+ "nullable": true
+ }
},
{
"op": {
@@ -5097,7 +5141,11 @@
"nullable": false
}
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
}
]
}
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query2.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query2.q.out
index d40e2be2746a..37d5098c5908 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query2.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query2.q.out
@@ -3333,7 +3333,11 @@
"nullable": false
}
}
- ]
+ ],
+ "type": {
+ "type": "INTEGER",
+ "nullable": true
+ }
}
]
},
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query20.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query20.q.out
index 13ce90905910..8242781d5440 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query20.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query20.q.out
@@ -1262,27 +1262,27 @@
"name": "$12"
},
{
- "literal": "Books",
+ "literal": "Books ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 50
}
},
{
- "literal": "Jewelry",
+ "literal": "Jewelry ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 7
+ "precision": 50
}
},
{
- "literal": "Sports",
+ "literal": "Sports ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 6
+ "precision": 50
}
}
]
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query24.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query24.q.out
index 884aa7a0d68a..9b5a2229d7e6 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query24.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query24.q.out
@@ -2479,7 +2479,7 @@ Warning: Map Join MAPJOIN[331][bigTable=?] in task 'Reducer 7' is a cross produc
"name": null
}
],
- "rowCount": 6.998796201537001E10
+ "rowCount": 2.1331637755562098E35
},
{
"id": "26",
@@ -2508,7 +2508,7 @@ Warning: Map Join MAPJOIN[331][bigTable=?] in task 'Reducer 7' is a cross produc
"name": "$3"
}
],
- "rowCount": 6.998796201537001E10
+ "rowCount": 2.1331637755562098E35
},
{
"id": "27",
@@ -2526,7 +2526,7 @@ Warning: Map Join MAPJOIN[331][bigTable=?] in task 'Reducer 7' is a cross produc
}
]
},
- "rowCount": 6.298916581383301E10
+ "rowCount": 1.9198473980005887E35
},
{
"id": "28",
@@ -2555,7 +2555,7 @@ Warning: Map Join MAPJOIN[331][bigTable=?] in task 'Reducer 7' is a cross produc
"name": "$3"
}
],
- "rowCount": 6.298916581383301E10
+ "rowCount": 1.9198473980005887E35
},
{
"id": "29",
@@ -3483,7 +3483,7 @@ Warning: Map Join MAPJOIN[331][bigTable=?] in task 'Reducer 7' is a cross produc
"28",
"50"
],
- "rowCount": 3.1494582906916504E10
+ "rowCount": 9.599236990002944E34
},
{
"id": "52",
@@ -3512,7 +3512,7 @@ Warning: Map Join MAPJOIN[331][bigTable=?] in task 'Reducer 7' is a cross produc
"name": "$3"
}
],
- "rowCount": 3.1494582906916504E10
+ "rowCount": 9.599236990002944E34
}
]
}
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query30.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query30.q.out
index 0adf8bfb0cd6..a793a4ef3301 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query30.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query30.q.out
@@ -1947,7 +1947,7 @@
"name": null
}
],
- "rowCount": 36000000
+ "rowCount": 148297282768460832
},
{
"id": "33",
@@ -1993,7 +1993,7 @@
}
]
},
- "rowCount": 32400000
+ "rowCount": 133467554491614752
},
{
"id": "34",
@@ -2058,7 +2058,7 @@
"name": "$0"
}
],
- "rowCount": 32400000
+ "rowCount": 133467554491614752
},
{
"id": "35",
@@ -2113,7 +2113,7 @@
"21",
"34"
],
- "rowCount": 2.837205225063129E37
+ "rowCount": 1.168749515370393E47
},
{
"id": "36",
@@ -2187,7 +2187,7 @@
"name": "$17"
}
],
- "rowCount": 2.837205225063129E37
+ "rowCount": 1.168749515370393E47
},
{
"id": "37",
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query34.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query34.q.out
index c5099314aaa3..50206741b9e6 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query34.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query34.q.out
@@ -1390,19 +1390,19 @@
"name": "$2"
},
{
- "literal": ">10000",
+ "literal": ">10000 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 6
+ "precision": 15
}
},
{
- "literal": "unknown",
+ "literal": "unknown ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 7
+ "precision": 15
}
}
]
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query38.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query38.q.out
index 2ceb58dd502a..8ccb2afc1734 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query38.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query38.q.out
@@ -1194,7 +1194,7 @@
"name": null
}
],
- "rowCount": 80000000
+ "rowCount": 2.196964434428032E19
},
{
"id": "13",
@@ -1223,7 +1223,7 @@
"name": "$3"
}
],
- "rowCount": 80000000
+ "rowCount": 2.196964434428032E19
},
{
"id": "14",
@@ -1952,7 +1952,7 @@
"name": null
}
],
- "rowCount": 80000000
+ "rowCount": 1.1450695362414533E19
},
{
"id": "25",
@@ -1981,7 +1981,7 @@
"name": "$3"
}
],
- "rowCount": 80000000
+ "rowCount": 1.1450695362414533E19
},
{
"id": "26",
@@ -2710,7 +2710,7 @@
"name": null
}
],
- "rowCount": 80000000
+ "rowCount": 5749866281303558144
},
{
"id": "37",
@@ -2739,7 +2739,7 @@
"name": "$3"
}
],
- "rowCount": 80000000
+ "rowCount": 5749866281303558144
},
{
"id": "38",
@@ -2750,7 +2750,7 @@
"25",
"37"
],
- "rowCount": 240000000
+ "rowCount": 3.917020598799841E19
},
{
"id": "39",
@@ -2779,7 +2779,7 @@
"name": "$3"
}
],
- "rowCount": 240000000
+ "rowCount": 3.917020598799841E19
},
{
"id": "40",
@@ -2807,7 +2807,7 @@
"name": null
}
],
- "rowCount": 240000000
+ "rowCount": 3917020598799840768
},
{
"id": "41",
@@ -2832,7 +2832,7 @@
}
]
},
- "rowCount": 36000000
+ "rowCount": 587553089819976064
},
{
"id": "42",
@@ -2861,7 +2861,7 @@
"name": "$3"
}
],
- "rowCount": 36000000
+ "rowCount": 587553089819976064
},
{
"id": "43",
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query39.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query39.q.out
index 4933f902e512..c2e01b82861f 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query39.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query39.q.out
@@ -1143,7 +1143,11 @@
}
]
}
- ]
+ ],
+ "type": {
+ "type": "DOUBLE",
+ "nullable": true
+ }
},
{
"op": {
@@ -1197,7 +1201,11 @@
"nullable": false
}
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
}
]
}
@@ -1429,7 +1437,11 @@
}
]
}
- ]
+ ],
+ "type": {
+ "type": "DOUBLE",
+ "nullable": true
+ }
},
{
"op": {
@@ -1483,7 +1495,11 @@
"nullable": false
}
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
}
]
}
@@ -2034,7 +2050,11 @@
}
]
}
- ]
+ ],
+ "type": {
+ "type": "DOUBLE",
+ "nullable": true
+ }
},
{
"op": {
@@ -2088,7 +2108,11 @@
"nullable": false
}
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
}
]
}
@@ -2320,7 +2344,11 @@
}
]
}
- ]
+ ],
+ "type": {
+ "type": "DOUBLE",
+ "nullable": true
+ }
},
{
"op": {
@@ -2374,7 +2402,11 @@
"nullable": false
}
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
}
]
}
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query4.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query4.q.out
index 453170c2c18b..dc86cc188db1 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query4.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query4.q.out
@@ -596,13 +596,25 @@
"input": 3,
"name": "$3"
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 8,
+ "scale": 2
+ }
},
{
"input": 1,
"name": "$1"
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 9,
+ "scale": 2
+ }
},
{
"input": 2,
@@ -1873,13 +1885,25 @@
"input": 3,
"name": "$3"
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 8,
+ "scale": 2
+ }
},
{
"input": 1,
"name": "$1"
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 9,
+ "scale": 2
+ }
},
{
"input": 2,
@@ -2488,13 +2512,25 @@
"input": 3,
"name": "$3"
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 8,
+ "scale": 2
+ }
},
{
"input": 1,
"name": "$1"
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 9,
+ "scale": 2
+ }
},
{
"input": 2,
@@ -3378,13 +3414,25 @@
"input": 3,
"name": "$3"
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 8,
+ "scale": 2
+ }
},
{
"input": 1,
"name": "$1"
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 9,
+ "scale": 2
+ }
},
{
"input": 2,
@@ -3758,13 +3806,25 @@
"input": 3,
"name": "$3"
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 8,
+ "scale": 2
+ }
},
{
"input": 1,
"name": "$1"
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 9,
+ "scale": 2
+ }
},
{
"input": 2,
@@ -4309,13 +4369,25 @@
"input": 3,
"name": "$3"
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 8,
+ "scale": 2
+ }
},
{
"input": 1,
"name": "$1"
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 9,
+ "scale": 2
+ }
},
{
"input": 2,
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query40.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query40.q.out
index 4dd0c6c7eaf6..ecd7fbba3bcb 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query40.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query40.q.out
@@ -2189,7 +2189,13 @@
}
]
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 13,
+ "scale": 2
+ }
},
{
"literal": 0,
@@ -2259,7 +2265,13 @@
}
]
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 13,
+ "scale": 2
+ }
},
{
"literal": 0,
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query41.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query41.q.out
index ee37027b55f2..5af299cdbb5f 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query41.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query41.q.out
@@ -697,11 +697,11 @@
"name": "$12"
},
{
- "literal": "Women",
+ "literal": "Women ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 50
}
}
]
@@ -718,19 +718,19 @@
"name": "$17"
},
{
- "literal": "frosted",
+ "literal": "frosted ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 7
+ "precision": 20
}
},
{
- "literal": "rose",
+ "literal": "rose ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 4
+ "precision": 20
}
}
]
@@ -747,19 +747,19 @@
"name": "$18"
},
{
- "literal": "Gross",
+ "literal": "Gross ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 10
}
},
{
- "literal": "Lb",
+ "literal": "Lb ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 2
+ "precision": 10
}
}
]
@@ -776,19 +776,19 @@
"name": "$15"
},
{
- "literal": "large",
+ "literal": "large ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 20
}
},
{
- "literal": "medium",
+ "literal": "medium ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 6
+ "precision": 20
}
}
]
@@ -814,11 +814,11 @@
"name": "$12"
},
{
- "literal": "Women",
+ "literal": "Women ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 50
}
}
]
@@ -835,19 +835,19 @@
"name": "$17"
},
{
- "literal": "black",
+ "literal": "black ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 20
}
},
{
- "literal": "chocolate",
+ "literal": "chocolate ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 9
+ "precision": 20
}
}
]
@@ -864,19 +864,19 @@
"name": "$18"
},
{
- "literal": "Box",
+ "literal": "Box ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 3
+ "precision": 10
}
},
{
- "literal": "Dram",
+ "literal": "Dram ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 4
+ "precision": 10
}
}
]
@@ -893,19 +893,19 @@
"name": "$15"
},
{
- "literal": "economy",
+ "literal": "economy ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 7
+ "precision": 20
}
},
{
- "literal": "petite",
+ "literal": "petite ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 6
+ "precision": 20
}
}
]
@@ -931,11 +931,11 @@
"name": "$12"
},
{
- "literal": "Men",
+ "literal": "Men ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 3
+ "precision": 50
}
}
]
@@ -952,19 +952,19 @@
"name": "$17"
},
{
- "literal": "magenta",
+ "literal": "magenta ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 7
+ "precision": 20
}
},
{
- "literal": "slate",
+ "literal": "slate ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 20
}
}
]
@@ -981,19 +981,19 @@
"name": "$18"
},
{
- "literal": "Bundle",
+ "literal": "Bundle ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 6
+ "precision": 10
}
},
{
- "literal": "Carton",
+ "literal": "Carton ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 6
+ "precision": 10
}
}
]
@@ -1010,19 +1010,19 @@
"name": "$15"
},
{
- "literal": "N/A",
+ "literal": "N/A ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 3
+ "precision": 20
}
},
{
- "literal": "small",
+ "literal": "small ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 20
}
}
]
@@ -1048,11 +1048,11 @@
"name": "$12"
},
{
- "literal": "Men",
+ "literal": "Men ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 3
+ "precision": 50
}
}
]
@@ -1069,19 +1069,19 @@
"name": "$17"
},
{
- "literal": "cornflower",
+ "literal": "cornflower ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 10
+ "precision": 20
}
},
{
- "literal": "firebrick",
+ "literal": "firebrick ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 9
+ "precision": 20
}
}
]
@@ -1098,19 +1098,19 @@
"name": "$18"
},
{
- "literal": "Oz",
+ "literal": "Oz ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 2
+ "precision": 10
}
},
{
- "literal": "Pound",
+ "literal": "Pound ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 10
}
}
]
@@ -1127,19 +1127,19 @@
"name": "$15"
},
{
- "literal": "large",
+ "literal": "large ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 20
}
},
{
- "literal": "medium",
+ "literal": "medium ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 6
+ "precision": 20
}
}
]
@@ -1165,11 +1165,11 @@
"name": "$12"
},
{
- "literal": "Women",
+ "literal": "Women ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 50
}
}
]
@@ -1186,19 +1186,19 @@
"name": "$17"
},
{
- "literal": "almond",
+ "literal": "almond ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 6
+ "precision": 20
}
},
{
- "literal": "steel",
+ "literal": "steel ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 20
}
}
]
@@ -1215,19 +1215,19 @@
"name": "$18"
},
{
- "literal": "Case",
+ "literal": "Case ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 4
+ "precision": 10
}
},
{
- "literal": "Tsp",
+ "literal": "Tsp ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 3
+ "precision": 10
}
}
]
@@ -1244,19 +1244,19 @@
"name": "$15"
},
{
- "literal": "large",
+ "literal": "large ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 20
}
},
{
- "literal": "medium",
+ "literal": "medium ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 6
+ "precision": 20
}
}
]
@@ -1282,11 +1282,11 @@
"name": "$12"
},
{
- "literal": "Women",
+ "literal": "Women ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 50
}
}
]
@@ -1303,19 +1303,19 @@
"name": "$17"
},
{
- "literal": "aquamarine",
+ "literal": "aquamarine ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 10
+ "precision": 20
}
},
{
- "literal": "purple",
+ "literal": "purple ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 6
+ "precision": 20
}
}
]
@@ -1332,19 +1332,19 @@
"name": "$18"
},
{
- "literal": "Bunch",
+ "literal": "Bunch ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 10
}
},
{
- "literal": "Gram",
+ "literal": "Gram ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 4
+ "precision": 10
}
}
]
@@ -1361,19 +1361,19 @@
"name": "$15"
},
{
- "literal": "economy",
+ "literal": "economy ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 7
+ "precision": 20
}
},
{
- "literal": "petite",
+ "literal": "petite ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 6
+ "precision": 20
}
}
]
@@ -1399,11 +1399,11 @@
"name": "$12"
},
{
- "literal": "Men",
+ "literal": "Men ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 3
+ "precision": 50
}
}
]
@@ -1420,19 +1420,19 @@
"name": "$17"
},
{
- "literal": "lavender",
+ "literal": "lavender ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 8
+ "precision": 20
}
},
{
- "literal": "papaya",
+ "literal": "papaya ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 6
+ "precision": 20
}
}
]
@@ -1449,19 +1449,19 @@
"name": "$18"
},
{
- "literal": "Cup",
+ "literal": "Cup ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 3
+ "precision": 10
}
},
{
- "literal": "Pallet",
+ "literal": "Pallet ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 6
+ "precision": 10
}
}
]
@@ -1478,19 +1478,19 @@
"name": "$15"
},
{
- "literal": "N/A",
+ "literal": "N/A ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 3
+ "precision": 20
}
},
{
- "literal": "small",
+ "literal": "small ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 20
}
}
]
@@ -1516,11 +1516,11 @@
"name": "$12"
},
{
- "literal": "Men",
+ "literal": "Men ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 3
+ "precision": 50
}
}
]
@@ -1537,19 +1537,19 @@
"name": "$17"
},
{
- "literal": "cyan",
+ "literal": "cyan ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 4
+ "precision": 20
}
},
{
- "literal": "maroon",
+ "literal": "maroon ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 6
+ "precision": 20
}
}
]
@@ -1566,19 +1566,19 @@
"name": "$18"
},
{
- "literal": "Each",
+ "literal": "Each ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 4
+ "precision": 10
}
},
{
- "literal": "N/A",
+ "literal": "N/A ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 3
+ "precision": 10
}
}
]
@@ -1595,19 +1595,19 @@
"name": "$15"
},
{
- "literal": "large",
+ "literal": "large ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 20
}
},
{
- "literal": "medium",
+ "literal": "medium ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 6
+ "precision": 20
}
}
]
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query45.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query45.q.out
index 69f67c983ba2..5e644f40234f 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query45.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query45.q.out
@@ -2297,7 +2297,7 @@
"dynamic": false
},
{
- "literal": "85669",
+ "literal": "80348",
"type": {
"type": "VARCHAR",
"nullable": false,
@@ -2305,7 +2305,7 @@
}
},
{
- "literal": "86197",
+ "literal": "81792",
"type": {
"type": "VARCHAR",
"nullable": false,
@@ -2313,7 +2313,7 @@
}
},
{
- "literal": "88274",
+ "literal": "83405",
"type": {
"type": "VARCHAR",
"nullable": false,
@@ -2321,7 +2321,7 @@
}
},
{
- "literal": "83405",
+ "literal": "85392",
"type": {
"type": "VARCHAR",
"nullable": false,
@@ -2329,7 +2329,7 @@
}
},
{
- "literal": "86475",
+ "literal": "85460",
"type": {
"type": "VARCHAR",
"nullable": false,
@@ -2337,7 +2337,7 @@
}
},
{
- "literal": "85392",
+ "literal": "85669",
"type": {
"type": "VARCHAR",
"nullable": false,
@@ -2345,7 +2345,7 @@
}
},
{
- "literal": "85460",
+ "literal": "86197",
"type": {
"type": "VARCHAR",
"nullable": false,
@@ -2353,7 +2353,7 @@
}
},
{
- "literal": "80348",
+ "literal": "86475",
"type": {
"type": "VARCHAR",
"nullable": false,
@@ -2361,7 +2361,7 @@
}
},
{
- "literal": "81792",
+ "literal": "88274",
"type": {
"type": "VARCHAR",
"nullable": false,
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query47.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query47.q.out
index a1d5d7542c1a..64c50f718a7f 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query47.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query47.q.out
@@ -2035,7 +2035,11 @@
"nullable": false
}
}
- ]
+ ],
+ "type": {
+ "type": "INTEGER",
+ "nullable": true
+ }
}
],
"rowCount": 4.787275490831158E19
@@ -3609,7 +3613,13 @@
"input": 7,
"name": "$7"
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 22,
+ "scale": 6
+ }
}
]
},
@@ -3979,7 +3989,13 @@
"input": 19,
"name": "$19"
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 22,
+ "scale": 6
+ }
}
],
"rowCount": 1.1862579161225682E49
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query5.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query5.q.out
index 58f01d7257b5..38f6f8fde55c 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query5.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query5.q.out
@@ -1926,7 +1926,13 @@
"input": 4,
"name": "$4"
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 18,
+ "scale": 2
+ }
}
],
"rowCount": 5152110310471199
@@ -3500,7 +3506,13 @@
"input": 4,
"name": "$4"
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 18,
+ "scale": 2
+ }
}
],
"rowCount": 72456986829068304
@@ -5791,7 +5803,13 @@
"input": 4,
"name": "$4"
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 18,
+ "scale": 2
+ }
}
],
"rowCount": 2.8028234423693355E21
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query50.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query50.q.out
index 65724838bad1..a622bcefbdcc 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query50.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query50.q.out
@@ -1863,7 +1863,11 @@
"input": 4,
"name": "$4"
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
},
{
"literal": 30,
@@ -1939,7 +1943,11 @@
"input": 4,
"name": "$4"
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
},
{
"literal": 30,
@@ -1972,7 +1980,11 @@
"input": 4,
"name": "$4"
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
},
{
"literal": 60,
@@ -2050,7 +2062,11 @@
"input": 4,
"name": "$4"
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
},
{
"literal": 60,
@@ -2083,7 +2099,11 @@
"input": 4,
"name": "$4"
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
},
{
"literal": 90,
@@ -2161,7 +2181,11 @@
"input": 4,
"name": "$4"
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
},
{
"literal": 90,
@@ -2194,7 +2218,11 @@
"input": 4,
"name": "$4"
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
},
{
"literal": 120,
@@ -2265,7 +2293,11 @@
"input": 4,
"name": "$4"
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
},
{
"literal": 120,
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query53.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query53.q.out
index deeb7d2d0a79..9ee9ac51d231 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query53.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query53.q.out
@@ -709,71 +709,71 @@
},
"operands": [
{
- "input": 10,
- "name": "$10"
+ "input": 8,
+ "name": "$8"
},
{
- "literal": "accessories",
+ "literal": "amalgimporto #1 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 11
+ "precision": 50
}
},
{
- "literal": "classical",
+ "literal": "edu packscholar #1 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 9
+ "precision": 50
}
},
{
- "literal": "fragrances",
+ "literal": "exportiimporto #1 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 10
+ "precision": 50
}
},
{
- "literal": "pants",
+ "literal": "exportiunivamalg #9 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 50
}
},
{
- "literal": "personal",
+ "literal": "importoamalg #1 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 8
+ "precision": 50
}
},
{
- "literal": "portable",
+ "literal": "scholaramalgamalg #14 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 8
+ "precision": 50
}
},
{
- "literal": "reference",
+ "literal": "scholaramalgamalg #7 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 9
+ "precision": 50
}
},
{
- "literal": "self-help",
+ "literal": "scholaramalgamalg #9 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 9
+ "precision": 50
}
}
]
@@ -786,132 +786,132 @@
},
"operands": [
{
- "input": 12,
- "name": "$12"
+ "input": 10,
+ "name": "$10"
},
{
- "literal": "Books",
+ "literal": "accessories ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 50
}
},
{
- "literal": "Children",
+ "literal": "classical ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 8
+ "precision": 50
}
},
{
- "literal": "Electronics",
+ "literal": "fragrances ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 11
+ "precision": 50
}
},
{
- "literal": "Men",
+ "literal": "pants ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 3
+ "precision": 50
}
},
{
- "literal": "Music",
+ "literal": "personal ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 50
}
},
{
- "literal": "Women",
+ "literal": "portable ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 50
}
- }
- ]
- },
- {
- "op": {
- "name": "IN",
- "kind": "OTHER_FUNCTION",
- "syntax": "SPECIAL"
- },
- "operands": [
- {
- "input": 8,
- "name": "$8"
},
{
- "literal": "amalgimporto #1",
+ "literal": "reference ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 15
+ "precision": 50
}
},
{
- "literal": "edu packscholar #1",
+ "literal": "self-help ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 18
+ "precision": 50
}
+ }
+ ]
+ },
+ {
+ "op": {
+ "name": "IN",
+ "kind": "OTHER_FUNCTION",
+ "syntax": "SPECIAL"
+ },
+ "operands": [
+ {
+ "input": 12,
+ "name": "$12"
},
{
- "literal": "exportiimporto #1",
+ "literal": "Books ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 17
+ "precision": 50
}
},
{
- "literal": "exportiunivamalg #9",
+ "literal": "Children ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 19
+ "precision": 50
}
},
{
- "literal": "importoamalg #1",
+ "literal": "Electronics ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 15
+ "precision": 50
}
},
{
- "literal": "scholaramalgamalg #14",
+ "literal": "Men ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 21
+ "precision": 50
}
},
{
- "literal": "scholaramalgamalg #7",
+ "literal": "Music ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 20
+ "precision": 50
}
},
{
- "literal": "scholaramalgamalg #9",
+ "literal": "Women ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 20
+ "precision": 50
}
}
]
@@ -942,27 +942,27 @@
"name": "$12"
},
{
- "literal": "Books",
+ "literal": "Books ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 50
}
},
{
- "literal": "Children",
+ "literal": "Children ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 8
+ "precision": 50
}
},
{
- "literal": "Electronics",
+ "literal": "Electronics ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 11
+ "precision": 50
}
}
]
@@ -979,35 +979,35 @@
"name": "$10"
},
{
- "literal": "personal",
+ "literal": "personal ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 8
+ "precision": 50
}
},
{
- "literal": "portable",
+ "literal": "portable ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 8
+ "precision": 50
}
},
{
- "literal": "reference",
+ "literal": "reference ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 9
+ "precision": 50
}
},
{
- "literal": "self-help",
+ "literal": "self-help ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 9
+ "precision": 50
}
}
]
@@ -1024,35 +1024,35 @@
"name": "$8"
},
{
- "literal": "exportiunivamalg #9",
+ "literal": "exportiunivamalg #9 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 19
+ "precision": 50
}
},
{
- "literal": "scholaramalgamalg #14",
+ "literal": "scholaramalgamalg #14 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 21
+ "precision": 50
}
},
{
- "literal": "scholaramalgamalg #7",
+ "literal": "scholaramalgamalg #7 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 20
+ "precision": 50
}
},
{
- "literal": "scholaramalgamalg #9",
+ "literal": "scholaramalgamalg #9 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 20
+ "precision": 50
}
}
]
@@ -1078,27 +1078,27 @@
"name": "$12"
},
{
- "literal": "Men",
+ "literal": "Men ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 3
+ "precision": 50
}
},
{
- "literal": "Music",
+ "literal": "Music ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 50
}
},
{
- "literal": "Women",
+ "literal": "Women ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 50
}
}
]
@@ -1115,35 +1115,35 @@
"name": "$10"
},
{
- "literal": "accessories",
+ "literal": "accessories ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 11
+ "precision": 50
}
},
{
- "literal": "classical",
+ "literal": "classical ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 9
+ "precision": 50
}
},
{
- "literal": "fragrances",
+ "literal": "fragrances ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 10
+ "precision": 50
}
},
{
- "literal": "pants",
+ "literal": "pants ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 50
}
}
]
@@ -1160,35 +1160,35 @@
"name": "$8"
},
{
- "literal": "amalgimporto #1",
+ "literal": "amalgimporto #1 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 15
+ "precision": 50
}
},
{
- "literal": "edu packscholar #1",
+ "literal": "edu packscholar #1 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 18
+ "precision": 50
}
},
{
- "literal": "exportiimporto #1",
+ "literal": "exportiimporto #1 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 17
+ "precision": 50
}
},
{
- "literal": "importoamalg #1",
+ "literal": "importoamalg #1 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 15
+ "precision": 50
}
}
]
@@ -1937,7 +1937,13 @@
"input": 2,
"name": "$2"
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 22,
+ "scale": 6
+ }
}
]
},
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query54.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query54.q.out
index 78b5ea15ceb4..3a22fa16c886 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query54.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query54.q.out
@@ -5111,7 +5111,7 @@ Warning: Map Join MAPJOIN[286][bigTable=?] in task 'Map 1' is a cross product
"name": null
}
],
- "rowCount": 2952.45
+ "rowCount": 11527.107150205546
},
{
"id": "72",
@@ -5151,7 +5151,7 @@ Warning: Map Join MAPJOIN[286][bigTable=?] in task 'Map 1' is a cross product
]
}
],
- "rowCount": 2952.45
+ "rowCount": 11527.107150205546
},
{
"id": "73",
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query56.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query56.q.out
index a256e47e96fc..c731d8073fc0 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query56.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query56.q.out
@@ -1826,27 +1826,27 @@
"name": "$17"
},
{
- "literal": "chiffon",
+ "literal": "chiffon ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 7
+ "precision": 20
}
},
{
- "literal": "lace",
+ "literal": "lace ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 4
+ "precision": 20
}
},
{
- "literal": "orchid",
+ "literal": "orchid ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 6
+ "precision": 20
}
}
]
@@ -2779,27 +2779,27 @@
"name": "$17"
},
{
- "literal": "chiffon",
+ "literal": "chiffon ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 7
+ "precision": 20
}
},
{
- "literal": "lace",
+ "literal": "lace ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 4
+ "precision": 20
}
},
{
- "literal": "orchid",
+ "literal": "orchid ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 6
+ "precision": 20
}
}
]
@@ -3735,27 +3735,27 @@
"name": "$17"
},
{
- "literal": "chiffon",
+ "literal": "chiffon ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 7
+ "precision": 20
}
},
{
- "literal": "lace",
+ "literal": "lace ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 4
+ "precision": 20
}
},
{
- "literal": "orchid",
+ "literal": "orchid ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 6
+ "precision": 20
}
}
]
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query57.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query57.q.out
index d145fb626734..b6703f0bae9a 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query57.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query57.q.out
@@ -2136,7 +2136,11 @@
"nullable": false
}
}
- ]
+ ],
+ "type": {
+ "type": "INTEGER",
+ "nullable": true
+ }
}
],
"rowCount": 976194609469717760
@@ -3609,7 +3613,13 @@
"input": 6,
"name": "$6"
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 22,
+ "scale": 6
+ }
}
]
},
@@ -3945,7 +3955,13 @@
"input": 16,
"name": "$16"
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 22,
+ "scale": 6
+ }
}
],
"rowCount": 4.4703400466242126E45
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query59.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query59.q.out
index 0edbc184ccba..566895b03996 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query59.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query59.q.out
@@ -3595,7 +3595,11 @@
"nullable": false
}
}
- ]
+ ],
+ "type": {
+ "type": "INTEGER",
+ "nullable": true
+ }
}
]
}
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query6.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query6.q.out
index eda0be9752a0..9f77985bf9ec 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query6.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query6.q.out
@@ -490,12 +490,6 @@ Warning: Map Join MAPJOIN[168][bigTable=?] in task 'Map 1' is a cross product
"nullable": false
},
"colStats": [
- {
- "name": "d_date_sk",
- "ndv": 67850,
- "minValue": 2415022,
- "maxValue": 2488070
- },
{
"name": "d_month_seq",
"ndv": 2439,
@@ -514,6 +508,12 @@ Warning: Map Join MAPJOIN[168][bigTable=?] in task 'Map 1' is a cross product
"minValue": 1,
"maxValue": 12
},
+ {
+ "name": "d_date_sk",
+ "ndv": 67850,
+ "minValue": 2415022,
+ "maxValue": 2488070
+ },
{
"name": "d_date_id",
"ndv": 71022
@@ -1981,12 +1981,6 @@ Warning: Map Join MAPJOIN[168][bigTable=?] in task 'Map 1' is a cross product
"nullable": false
},
"colStats": [
- {
- "name": "i_item_sk",
- "ndv": 464811,
- "minValue": 1,
- "maxValue": 462000
- },
{
"name": "i_current_price",
"ndv": 9391,
@@ -1997,6 +1991,12 @@ Warning: Map Join MAPJOIN[168][bigTable=?] in task 'Map 1' is a cross product
"name": "i_category",
"ndv": 11
},
+ {
+ "name": "i_item_sk",
+ "ndv": 464811,
+ "minValue": 1,
+ "maxValue": 462000
+ },
{
"name": "i_item_id",
"ndv": 247524
@@ -2172,41 +2172,26 @@ Warning: Map Join MAPJOIN[168][bigTable=?] in task 'Map 1' is a cross product
"operands": [
{
"op": {
- "name": "CAST",
- "kind": "CAST",
- "syntax": "SPECIAL"
+ "name": "/",
+ "kind": "DIVIDE",
+ "syntax": "BINARY"
},
"operands": [
{
- "op": {
- "name": "/",
- "kind": "DIVIDE",
- "syntax": "BINARY"
- },
- "operands": [
- {
- "input": 1,
- "name": "$1"
- },
- {
- "input": 2,
- "name": "$2"
- }
- ]
+ "input": 1,
+ "name": "$1"
+ },
+ {
+ "input": 2,
+ "name": "$2"
}
- ],
- "type": {
- "type": "DECIMAL",
- "nullable": true,
- "precision": 11,
- "scale": 6
- }
+ ]
}
],
"type": {
"type": "DECIMAL",
"nullable": true,
- "precision": 16,
+ "precision": 11,
"scale": 6
}
}
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query62.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query62.q.out
index 45c5ad5fb860..da40bb283945 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query62.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query62.q.out
@@ -597,7 +597,11 @@
"input": 33,
"name": "$33"
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
},
{
"literal": 30,
@@ -673,7 +677,11 @@
"input": 33,
"name": "$33"
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
},
{
"literal": 30,
@@ -706,7 +714,11 @@
"input": 33,
"name": "$33"
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
},
{
"literal": 60,
@@ -784,7 +796,11 @@
"input": 33,
"name": "$33"
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
},
{
"literal": 60,
@@ -817,7 +833,11 @@
"input": 33,
"name": "$33"
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
},
{
"literal": 90,
@@ -895,7 +915,11 @@
"input": 33,
"name": "$33"
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
},
{
"literal": 90,
@@ -928,7 +952,11 @@
"input": 33,
"name": "$33"
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
},
{
"literal": 120,
@@ -999,7 +1027,11 @@
"input": 33,
"name": "$33"
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
},
{
"literal": 120,
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query63.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query63.q.out
index 969b6c059ac7..2fb961054aff 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query63.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query63.q.out
@@ -709,71 +709,71 @@
},
"operands": [
{
- "input": 10,
- "name": "$10"
+ "input": 8,
+ "name": "$8"
},
{
- "literal": "accessories",
+ "literal": "amalgimporto #1 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 11
+ "precision": 50
}
},
{
- "literal": "classical",
+ "literal": "edu packscholar #1 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 9
+ "precision": 50
}
},
{
- "literal": "fragrances",
+ "literal": "exportiimporto #1 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 10
+ "precision": 50
}
},
{
- "literal": "pants",
+ "literal": "exportiunivamalg #9 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 50
}
},
{
- "literal": "personal",
+ "literal": "importoamalg #1 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 8
+ "precision": 50
}
},
{
- "literal": "portable",
+ "literal": "scholaramalgamalg #14 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 8
+ "precision": 50
}
},
{
- "literal": "refernece",
+ "literal": "scholaramalgamalg #7 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 9
+ "precision": 50
}
},
{
- "literal": "self-help",
+ "literal": "scholaramalgamalg #9 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 9
+ "precision": 50
}
}
]
@@ -786,132 +786,132 @@
},
"operands": [
{
- "input": 12,
- "name": "$12"
+ "input": 10,
+ "name": "$10"
},
{
- "literal": "Books",
+ "literal": "accessories ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 50
}
},
{
- "literal": "Children",
+ "literal": "classical ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 8
+ "precision": 50
}
},
{
- "literal": "Electronics",
+ "literal": "fragrances ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 11
+ "precision": 50
}
},
{
- "literal": "Men",
+ "literal": "pants ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 3
+ "precision": 50
}
},
{
- "literal": "Music",
+ "literal": "personal ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 50
}
},
{
- "literal": "Women",
+ "literal": "portable ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 50
}
- }
- ]
- },
- {
- "op": {
- "name": "IN",
- "kind": "OTHER_FUNCTION",
- "syntax": "SPECIAL"
- },
- "operands": [
- {
- "input": 8,
- "name": "$8"
},
{
- "literal": "amalgimporto #1",
+ "literal": "refernece ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 15
+ "precision": 50
}
},
{
- "literal": "edu packscholar #1",
+ "literal": "self-help ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 18
+ "precision": 50
}
+ }
+ ]
+ },
+ {
+ "op": {
+ "name": "IN",
+ "kind": "OTHER_FUNCTION",
+ "syntax": "SPECIAL"
+ },
+ "operands": [
+ {
+ "input": 12,
+ "name": "$12"
},
{
- "literal": "exportiimporto #1",
+ "literal": "Books ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 17
+ "precision": 50
}
},
{
- "literal": "exportiunivamalg #9",
+ "literal": "Children ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 19
+ "precision": 50
}
},
{
- "literal": "importoamalg #1",
+ "literal": "Electronics ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 15
+ "precision": 50
}
},
{
- "literal": "scholaramalgamalg #14",
+ "literal": "Men ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 21
+ "precision": 50
}
},
{
- "literal": "scholaramalgamalg #7",
+ "literal": "Music ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 20
+ "precision": 50
}
},
{
- "literal": "scholaramalgamalg #9",
+ "literal": "Women ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 20
+ "precision": 50
}
}
]
@@ -942,27 +942,27 @@
"name": "$12"
},
{
- "literal": "Books",
+ "literal": "Books ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 50
}
},
{
- "literal": "Children",
+ "literal": "Children ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 8
+ "precision": 50
}
},
{
- "literal": "Electronics",
+ "literal": "Electronics ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 11
+ "precision": 50
}
}
]
@@ -979,35 +979,35 @@
"name": "$10"
},
{
- "literal": "personal",
+ "literal": "personal ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 8
+ "precision": 50
}
},
{
- "literal": "portable",
+ "literal": "portable ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 8
+ "precision": 50
}
},
{
- "literal": "refernece",
+ "literal": "refernece ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 9
+ "precision": 50
}
},
{
- "literal": "self-help",
+ "literal": "self-help ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 9
+ "precision": 50
}
}
]
@@ -1024,35 +1024,35 @@
"name": "$8"
},
{
- "literal": "exportiunivamalg #9",
+ "literal": "exportiunivamalg #9 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 19
+ "precision": 50
}
},
{
- "literal": "scholaramalgamalg #14",
+ "literal": "scholaramalgamalg #14 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 21
+ "precision": 50
}
},
{
- "literal": "scholaramalgamalg #7",
+ "literal": "scholaramalgamalg #7 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 20
+ "precision": 50
}
},
{
- "literal": "scholaramalgamalg #9",
+ "literal": "scholaramalgamalg #9 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 20
+ "precision": 50
}
}
]
@@ -1078,27 +1078,27 @@
"name": "$12"
},
{
- "literal": "Men",
+ "literal": "Men ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 3
+ "precision": 50
}
},
{
- "literal": "Music",
+ "literal": "Music ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 50
}
},
{
- "literal": "Women",
+ "literal": "Women ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 50
}
}
]
@@ -1115,35 +1115,35 @@
"name": "$10"
},
{
- "literal": "accessories",
+ "literal": "accessories ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 11
+ "precision": 50
}
},
{
- "literal": "classical",
+ "literal": "classical ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 9
+ "precision": 50
}
},
{
- "literal": "fragrances",
+ "literal": "fragrances ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 10
+ "precision": 50
}
},
{
- "literal": "pants",
+ "literal": "pants ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 50
}
}
]
@@ -1160,35 +1160,35 @@
"name": "$8"
},
{
- "literal": "amalgimporto #1",
+ "literal": "amalgimporto #1 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 15
+ "precision": 50
}
},
{
- "literal": "edu packscholar #1",
+ "literal": "edu packscholar #1 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 18
+ "precision": 50
}
},
{
- "literal": "exportiimporto #1",
+ "literal": "exportiimporto #1 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 17
+ "precision": 50
}
},
{
- "literal": "importoamalg #1",
+ "literal": "importoamalg #1 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 15
+ "precision": 50
}
}
]
@@ -1937,7 +1937,13 @@
"input": 2,
"name": "$2"
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 22,
+ "scale": 6
+ }
}
]
},
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query64.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query64.q.out
index 370dcc8fd0e5..8bda4c5d0557 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query64.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query64.q.out
@@ -1760,51 +1760,51 @@
"name": "$17"
},
{
- "literal": "burnished",
+ "literal": "burnished ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 9
+ "precision": 20
}
},
{
- "literal": "chocolate",
+ "literal": "chocolate ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 9
+ "precision": 20
}
},
{
- "literal": "dim",
+ "literal": "dim ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 3
+ "precision": 20
}
},
{
- "literal": "maroon",
+ "literal": "maroon ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 6
+ "precision": 20
}
},
{
- "literal": "navajo",
+ "literal": "navajo ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 6
+ "precision": 20
}
},
{
- "literal": "steel",
+ "literal": "steel ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 20
}
}
]
@@ -6423,51 +6423,51 @@
"name": "$17"
},
{
- "literal": "burnished",
+ "literal": "burnished ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 9
+ "precision": 20
}
},
{
- "literal": "chocolate",
+ "literal": "chocolate ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 9
+ "precision": 20
}
},
{
- "literal": "dim",
+ "literal": "dim ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 3
+ "precision": 20
}
},
{
- "literal": "maroon",
+ "literal": "maroon ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 6
+ "precision": 20
}
},
{
- "literal": "navajo",
+ "literal": "navajo ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 6
+ "precision": 20
}
},
{
- "literal": "steel",
+ "literal": "steel ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 20
}
}
]
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query66.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query66.q.out
index f0ff6d58f024..6476d2cd3866 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query66.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query66.q.out
@@ -1673,19 +1673,19 @@
"name": "$4"
},
{
- "literal": "AIRBORNE",
+ "literal": "AIRBORNE ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 8
+ "precision": 20
}
},
{
- "literal": "DIAMOND",
+ "literal": "DIAMOND ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 7
+ "precision": 20
}
}
]
@@ -4349,19 +4349,19 @@
"name": "$4"
},
{
- "literal": "AIRBORNE",
+ "literal": "AIRBORNE ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 8
+ "precision": 20
}
},
{
- "literal": "DIAMOND",
+ "literal": "DIAMOND ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 7
+ "precision": 20
}
}
]
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query67.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query67.q.out
index f0cbd12e2bbc..97f2bbae92f8 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query67.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query67.q.out
@@ -434,23 +434,8 @@
},
"operands": [
{
- "op": {
- "name": "CAST",
- "kind": "CAST",
- "syntax": "SPECIAL"
- },
- "operands": [
- {
- "input": 9,
- "name": "$9"
- }
- ],
- "type": {
- "type": "DECIMAL",
- "nullable": true,
- "precision": 10,
- "scale": 0
- }
+ "input": 9,
+ "name": "$9"
}
]
}
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query71.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query71.q.out
index 63bc9cf602cd..a044e850b2cd 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query71.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query71.q.out
@@ -2771,19 +2771,19 @@
"name": "$9"
},
{
- "literal": "breakfast",
+ "literal": "breakfast ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 9
+ "precision": 20
}
},
{
- "literal": "dinner",
+ "literal": "dinner ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 6
+ "precision": 20
}
}
]
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query73.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query73.q.out
index 5175001d564f..6f8b9bd84ff8 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query73.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query73.q.out
@@ -1347,19 +1347,19 @@
"name": "$2"
},
{
- "literal": ">10000",
+ "literal": ">10000 ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 6
+ "precision": 15
}
},
{
- "literal": "unknown",
+ "literal": "unknown ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 7
+ "precision": 15
}
}
]
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query75.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query75.q.out
index 33cf9fafff8b..7a65397e1ce9 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query75.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query75.q.out
@@ -1907,7 +1907,11 @@
}
]
}
- ]
+ ],
+ "type": {
+ "type": "INTEGER",
+ "nullable": true
+ }
},
{
"op": {
@@ -1955,7 +1959,13 @@
}
]
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 8,
+ "scale": 2
+ }
}
],
"rowCount": 4.218117522679961E25
@@ -3025,7 +3035,11 @@
}
]
}
- ]
+ ],
+ "type": {
+ "type": "INTEGER",
+ "nullable": true
+ }
},
{
"op": {
@@ -3073,7 +3087,13 @@
}
]
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 8,
+ "scale": 2
+ }
}
],
"rowCount": 1.6171414807076423E26
@@ -4416,7 +4436,11 @@
}
]
}
- ]
+ ],
+ "type": {
+ "type": "INTEGER",
+ "nullable": true
+ }
},
{
"op": {
@@ -4464,7 +4488,13 @@
}
]
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 8,
+ "scale": 2
+ }
}
],
"rowCount": 1.058808760561964E25
@@ -5095,7 +5125,11 @@
}
]
}
- ]
+ ],
+ "type": {
+ "type": "INTEGER",
+ "nullable": true
+ }
},
{
"op": {
@@ -5143,7 +5177,13 @@
}
]
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 8,
+ "scale": 2
+ }
}
],
"rowCount": 4.218117522679961E25
@@ -5586,7 +5626,11 @@
}
]
}
- ]
+ ],
+ "type": {
+ "type": "INTEGER",
+ "nullable": true
+ }
},
{
"op": {
@@ -5634,7 +5678,13 @@
}
]
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 8,
+ "scale": 2
+ }
}
],
"rowCount": 1.6171414807076423E26
@@ -6179,7 +6229,11 @@
}
]
}
- ]
+ ],
+ "type": {
+ "type": "INTEGER",
+ "nullable": true
+ }
},
{
"op": {
@@ -6227,7 +6281,13 @@
}
]
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 8,
+ "scale": 2
+ }
}
],
"rowCount": 1.058808760561964E25
@@ -6627,7 +6687,11 @@
"input": 4,
"name": "$4"
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
},
{
"op": {
@@ -6644,7 +6708,13 @@
"input": 5,
"name": "$5"
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 19,
+ "scale": 2
+ }
}
],
"rowCount": 2.4290202464284087E43
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query77.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query77.q.out
index b12c95eb69df..527ebb8adcdf 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query77.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query77.q.out
@@ -1676,7 +1676,13 @@ Warning: Map Join MAPJOIN[213][bigTable=?] in task 'Reducer 9' is a cross produc
}
]
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 18,
+ "scale": 2
+ }
}
],
"rowCount": 5.077429615006786E24
@@ -3007,7 +3013,13 @@ Warning: Map Join MAPJOIN[213][bigTable=?] in task 'Reducer 9' is a cross produc
"input": 4,
"name": "$4"
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 18,
+ "scale": 2
+ }
}
],
"rowCount": 1.0602495705939385E13
@@ -4507,7 +4519,13 @@ Warning: Map Join MAPJOIN[213][bigTable=?] in task 'Reducer 9' is a cross produc
}
]
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 18,
+ "scale": 2
+ }
}
],
"rowCount": 3.2896973217973334E23
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query80.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query80.q.out
index 93bf3a645ee0..ed342dbf4d78 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query80.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query80.q.out
@@ -2457,7 +2457,13 @@
}
]
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 13,
+ "scale": 2
+ }
}
],
"rowCount": 1.4671066877753214E31
@@ -4143,7 +4149,13 @@
}
]
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 13,
+ "scale": 2
+ }
}
],
"rowCount": 1.033048226619305E32
@@ -5974,7 +5986,13 @@
}
]
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 13,
+ "scale": 2
+ }
}
],
"rowCount": 4.735228068068781E28
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query81.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query81.q.out
index 42396159880e..f0a12270d202 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query81.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query81.q.out
@@ -2177,7 +2177,7 @@
"name": null
}
],
- "rowCount": 36000000
+ "rowCount": 310640329339109184
},
{
"id": "34",
@@ -2223,7 +2223,7 @@
}
]
},
- "rowCount": 32400000
+ "rowCount": 279576296405198272
},
{
"id": "35",
@@ -2288,7 +2288,7 @@
"name": "$0"
}
],
- "rowCount": 32400000
+ "rowCount": 279576296405198272
},
{
"id": "36",
@@ -2343,7 +2343,7 @@
"22",
"35"
],
- "rowCount": 5.943132261514999E37
+ "rowCount": 5.128268230619178E47
},
{
"id": "37",
@@ -2427,7 +2427,7 @@
"name": "$19"
}
],
- "rowCount": 5.943132261514999E37
+ "rowCount": 5.128268230619178E47
},
{
"id": "38",
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query85.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query85.q.out
index 134436ff9762..d812967fefde 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query85.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query85.q.out
@@ -2347,27 +2347,27 @@
"name": "$3"
},
{
- "literal": "4 yr Degree",
+ "literal": "4 yr Degree ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 11
+ "precision": 20
}
},
{
- "literal": "Advanced Degree",
+ "literal": "Advanced Degree ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 15
+ "precision": 20
}
},
{
- "literal": "Primary",
+ "literal": "Primary ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 7
+ "precision": 20
}
}
]
@@ -2436,11 +2436,11 @@
"name": "$3"
},
{
- "literal": "4 yr Degree",
+ "literal": "4 yr Degree ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 11
+ "precision": 20
}
}
]
@@ -2478,11 +2478,11 @@
"name": "$3"
},
{
- "literal": "Primary",
+ "literal": "Primary ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 7
+ "precision": 20
}
}
]
@@ -2520,11 +2520,11 @@
"name": "$3"
},
{
- "literal": "Advanced Degree",
+ "literal": "Advanced Degree ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 15
+ "precision": 20
}
}
]
@@ -2771,27 +2771,27 @@
"name": "$3"
},
{
- "literal": "4 yr Degree",
+ "literal": "4 yr Degree ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 11
+ "precision": 20
}
},
{
- "literal": "Advanced Degree",
+ "literal": "Advanced Degree ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 15
+ "precision": 20
}
},
{
- "literal": "Primary",
+ "literal": "Primary ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 7
+ "precision": 20
}
}
]
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query87.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query87.q.out
index 8723d2fdfa15..4bef73d0a5e6 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query87.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query87.q.out
@@ -1194,7 +1194,7 @@
"name": null
}
],
- "rowCount": 80000000
+ "rowCount": 2.196964434428032E19
},
{
"id": "13",
@@ -1231,7 +1231,7 @@
"name": "$3"
}
],
- "rowCount": 80000000
+ "rowCount": 2.196964434428032E19
},
{
"id": "14",
@@ -1960,7 +1960,7 @@
"name": null
}
],
- "rowCount": 80000000
+ "rowCount": 1.1450695362414533E19
},
{
"id": "25",
@@ -1997,7 +1997,7 @@
"name": "$3"
}
],
- "rowCount": 80000000
+ "rowCount": 1.1450695362414533E19
},
{
"id": "26",
@@ -2007,7 +2007,7 @@
"13",
"25"
],
- "rowCount": 160000000
+ "rowCount": 3.3420339706694853E19
},
{
"id": "27",
@@ -2054,7 +2054,7 @@
]
}
],
- "rowCount": 160000000
+ "rowCount": 3.3420339706694853E19
},
{
"id": "28",
@@ -2098,7 +2098,7 @@
"name": null
}
],
- "rowCount": 160000000
+ "rowCount": 3342033970669485056
},
{
"id": "29",
@@ -2165,7 +2165,7 @@
}
]
},
- "rowCount": 12000000
+ "rowCount": 250652547800211360
},
{
"id": "30",
@@ -2199,7 +2199,7 @@
"name": "$4"
}
],
- "rowCount": 12000000
+ "rowCount": 250652547800211360
},
{
"id": "31",
@@ -2225,7 +2225,7 @@
"name": null
}
],
- "rowCount": 12000000
+ "rowCount": 25065254780021136
},
{
"id": "32",
@@ -2262,7 +2262,7 @@
"name": "$3"
}
],
- "rowCount": 12000000
+ "rowCount": 25065254780021136
},
{
"id": "33",
@@ -2991,7 +2991,7 @@
"name": null
}
],
- "rowCount": 80000000
+ "rowCount": 5749866281303558144
},
{
"id": "44",
@@ -3028,7 +3028,7 @@
"name": "$3"
}
],
- "rowCount": 80000000
+ "rowCount": 5749866281303558144
},
{
"id": "45",
@@ -3038,7 +3038,7 @@
"32",
"44"
],
- "rowCount": 92000000
+ "rowCount": 5774931536083578880
},
{
"id": "46",
@@ -3085,7 +3085,7 @@
]
}
],
- "rowCount": 92000000
+ "rowCount": 5774931536083578880
},
{
"id": "47",
@@ -3129,7 +3129,7 @@
"name": null
}
],
- "rowCount": 92000000
+ "rowCount": 577493153608357888
},
{
"id": "48",
@@ -3196,7 +3196,7 @@
}
]
},
- "rowCount": 6900000
+ "rowCount": 43311986520626840
},
{
"id": "49",
@@ -3230,7 +3230,7 @@
"name": "$4"
}
],
- "rowCount": 6900000
+ "rowCount": 43311986520626840
},
{
"id": "50",
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query89.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query89.q.out
index 0518783f7ee8..323629041c86 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query89.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query89.q.out
@@ -718,51 +718,51 @@
"name": "$10"
},
{
- "literal": "birdal",
+ "literal": "birdal ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 6
+ "precision": 50
}
},
{
- "literal": "musical",
+ "literal": "musical ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 7
+ "precision": 50
}
},
{
- "literal": "pants",
+ "literal": "pants ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 50
}
},
{
- "literal": "parenting",
+ "literal": "parenting ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 9
+ "precision": 50
}
},
{
- "literal": "wallpaper",
+ "literal": "wallpaper ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 9
+ "precision": 50
}
},
{
- "literal": "womens",
+ "literal": "womens ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 6
+ "precision": 50
}
}
]
@@ -779,51 +779,51 @@
"name": "$12"
},
{
- "literal": "Books",
+ "literal": "Books ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 50
}
},
{
- "literal": "Electronics",
+ "literal": "Electronics ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 11
+ "precision": 50
}
},
{
- "literal": "Home",
+ "literal": "Home ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 4
+ "precision": 50
}
},
{
- "literal": "Jewelry",
+ "literal": "Jewelry ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 7
+ "precision": 50
}
},
{
- "literal": "Men",
+ "literal": "Men ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 3
+ "precision": 50
}
},
{
- "literal": "Shoes",
+ "literal": "Shoes ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 50
}
}
]
@@ -854,27 +854,27 @@
"name": "$12"
},
{
- "literal": "Books",
+ "literal": "Books ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 50
}
},
{
- "literal": "Electronics",
+ "literal": "Electronics ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 11
+ "precision": 50
}
},
{
- "literal": "Home",
+ "literal": "Home ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 4
+ "precision": 50
}
}
]
@@ -891,27 +891,27 @@
"name": "$10"
},
{
- "literal": "musical",
+ "literal": "musical ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 7
+ "precision": 50
}
},
{
- "literal": "parenting",
+ "literal": "parenting ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 9
+ "precision": 50
}
},
{
- "literal": "wallpaper",
+ "literal": "wallpaper ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 9
+ "precision": 50
}
}
]
@@ -937,27 +937,27 @@
"name": "$12"
},
{
- "literal": "Jewelry",
+ "literal": "Jewelry ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 7
+ "precision": 50
}
},
{
- "literal": "Men",
+ "literal": "Men ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 3
+ "precision": 50
}
},
{
- "literal": "Shoes",
+ "literal": "Shoes ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 50
}
}
]
@@ -974,27 +974,27 @@
"name": "$10"
},
{
- "literal": "birdal",
+ "literal": "birdal ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 6
+ "precision": 50
}
},
{
- "literal": "pants",
+ "literal": "pants ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 50
}
},
{
- "literal": "womens",
+ "literal": "womens ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 6
+ "precision": 50
}
}
]
@@ -2175,7 +2175,13 @@
"input": 7,
"name": "$7"
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 22,
+ "scale": 6
+ }
}
]
},
@@ -2269,7 +2275,13 @@
"input": 7,
"name": "$7"
}
- ]
+ ],
+ "type": {
+ "type": "DECIMAL",
+ "nullable": true,
+ "precision": 22,
+ "scale": 6
+ }
}
],
"rowCount": 760058726253485952
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query91.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query91.q.out
index beebfacedd73..11ca81dfcfa0 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query91.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query91.q.out
@@ -1668,19 +1668,19 @@
"name": "$3"
},
{
- "literal": "Advanced Degree",
+ "literal": "Advanced Degree ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 15
+ "precision": 20
}
},
{
- "literal": "Unknown",
+ "literal": "Unknown ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 7
+ "precision": 20
}
}
]
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query93.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query93.q.out
index 58f48602e832..91de5fcfbfd8 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query93.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query93.q.out
@@ -987,7 +987,11 @@
"input": 8,
"name": "$8"
}
- ]
+ ],
+ "type": {
+ "type": "INTEGER",
+ "nullable": true
+ }
}
],
"type": {
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query98.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query98.q.out
index 60ab4eda30ab..0ce77d1627a2 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query98.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query98.q.out
@@ -1135,27 +1135,27 @@
"name": "$12"
},
{
- "literal": "Books",
+ "literal": "Books ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 5
+ "precision": 50
}
},
{
- "literal": "Jewelry",
+ "literal": "Jewelry ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 7
+ "precision": 50
}
},
{
- "literal": "Sports",
+ "literal": "Sports ",
"type": {
"type": "CHAR",
"nullable": false,
- "precision": 6
+ "precision": 50
}
}
]
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query99.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query99.q.out
index d589e67ac45c..36e83c6ff05b 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query99.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/json/query99.q.out
@@ -597,7 +597,11 @@
"input": 33,
"name": "$33"
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
},
{
"literal": 30,
@@ -673,7 +677,11 @@
"input": 33,
"name": "$33"
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
},
{
"literal": 30,
@@ -706,7 +714,11 @@
"input": 33,
"name": "$33"
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
},
{
"literal": 60,
@@ -784,7 +796,11 @@
"input": 33,
"name": "$33"
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
},
{
"literal": 60,
@@ -817,7 +833,11 @@
"input": 33,
"name": "$33"
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
},
{
"literal": 90,
@@ -895,7 +915,11 @@
"input": 33,
"name": "$33"
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
},
{
"literal": 90,
@@ -928,7 +952,11 @@
"input": 33,
"name": "$33"
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
},
{
"literal": 120,
@@ -999,7 +1027,11 @@
"input": 33,
"name": "$33"
}
- ]
+ ],
+ "type": {
+ "type": "BIGINT",
+ "nullable": true
+ }
},
{
"literal": 120,
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_ext_query1.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_ext_query1.q.out
index 5b4b7d14c27a..7e3abfd8983b 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_ext_query1.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_ext_query1.q.out
@@ -17,7 +17,7 @@ HiveSortLimit(sort0=[$0], dir0=[ASC], fetch=[100]): rowcount = ###Masked###, cum
HiveFilter(condition=[=($6, 2000)]): rowcount = ###Masked###, cumulative cost = ###Masked###, id = ###Masked###
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim]): rowcount = ###Masked###, cumulative cost = ###Masked###, id = ###Masked###
HiveProject(s_store_sk=[$0]): rowcount = ###Masked###, cumulative cost = ###Masked###, id = ###Masked###
- HiveFilter(condition=[=($24, _UTF-16LE'NM')]): rowcount = ###Masked###, cumulative cost = ###Masked###, id = ###Masked###
+ HiveFilter(condition=[=($24, 'NM')]): rowcount = ###Masked###, cumulative cost = ###Masked###, id = ###Masked###
HiveTableScan(table=[[default, store]], table:alias=[store]): rowcount = ###Masked###, cumulative cost = ###Masked###, id = ###Masked###
HiveProject(_o__c0=[*(CAST(/($1, $2)):DECIMAL(21, 6), 1.2:DECIMAL(2, 1))], ctr_store_sk=[$0]): rowcount = ###Masked###, cumulative cost = ###Masked###, id = ###Masked###
HiveFilter(condition=[IS NOT NULL(CAST(/($1, $2)):DECIMAL(21, 6))]): rowcount = ###Masked###, cumulative cost = ###Masked###, id = ###Masked###
@@ -51,7 +51,7 @@ HiveSortLimit(sort0=[$0], dir0=[ASC], fetch=[100]): rowcount = ###Masked###, cum
HiveFilter(condition=[=($6, 2000)]): rowcount = ###Masked###, cumulative cost = ###Masked###, id = ###Masked###
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim]): rowcount = ###Masked###, cumulative cost = ###Masked###, id = ###Masked###
HiveProject(s_store_sk=[$0]): rowcount = ###Masked###, cumulative cost = ###Masked###, id = ###Masked###
- HiveFilter(condition=[=($24, _UTF-16LE'NM')]): rowcount = ###Masked###, cumulative cost = ###Masked###, id = ###Masked###
+ HiveFilter(condition=[=($24, 'NM')]): rowcount = ###Masked###, cumulative cost = ###Masked###, id = ###Masked###
HiveTableScan(table=[[default, store]], table:alias=[store]): rowcount = ###Masked###, cumulative cost = ###Masked###, id = ###Masked###
HiveProject(_o__c0=[*(CAST(/($1, $2)):DECIMAL(21, 6), 1.2:DECIMAL(2, 1))], ctr_store_sk=[$0]): rowcount = ###Masked###, cumulative cost = ###Masked###, id = ###Masked###
HiveFilter(condition=[IS NOT NULL(CAST(/($1, $2)):DECIMAL(21, 6))]): rowcount = ###Masked###, cumulative cost = ###Masked###, id = ###Masked###
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query1.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query1.q.out
index 1216481c7623..7a96bdd1d3ee 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query1.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query1.q.out
@@ -17,7 +17,7 @@ HiveSortLimit(sort0=[$0], dir0=[ASC], fetch=[100])
HiveFilter(condition=[=($6, 2000)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(s_store_sk=[$0])
- HiveFilter(condition=[=($24, _UTF-16LE'NM')])
+ HiveFilter(condition=[=($24, 'NM')])
HiveTableScan(table=[[default, store]], table:alias=[store])
HiveProject(_o__c0=[*(CAST(/($1, $2)):DECIMAL(21, 6), 1.2:DECIMAL(2, 1))], ctr_store_sk=[$0])
HiveFilter(condition=[IS NOT NULL(CAST(/($1, $2)):DECIMAL(21, 6))])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query10.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query10.q.out
index 47df9c179067..24d8f8cd0590 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query10.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query10.q.out
@@ -15,7 +15,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$4], sort4=[$6], sort5=
HiveFilter(condition=[AND(IS NOT NULL($2), IS NOT NULL($4))])
HiveTableScan(table=[[default, customer]], table:alias=[c])
HiveProject(ca_address_sk=[$0], ca_county=[$7])
- HiveFilter(condition=[IN($7, _UTF-16LE'Dona Ana County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Douglas County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Gaines County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Richland County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Walker County':VARCHAR(30) CHARACTER SET "UTF-16LE")])
+ HiveFilter(condition=[IN($7, 'Dona Ana County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Douglas County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Gaines County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Richland County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Walker County':VARCHAR(30) CHARACTER SET "UTF-16LE")])
HiveTableScan(table=[[default, customer_address]], table:alias=[ca])
HiveProject(ss_customer_sk=[$0])
HiveJoin(condition=[=($1, $2)], joinType=[inner], algorithm=[none], cost=[not available])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query12.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query12.q.out
index 813daa134207..ee7e4fae2c2f 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query12.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query12.q.out
@@ -12,6 +12,6 @@ HiveProject(i_item_desc=[$0], i_category=[$1], i_class=[$2], i_current_price=[$3
HiveFilter(condition=[BETWEEN(false, CAST($2):TIMESTAMP(9), 2001-01-12 00:00:00:TIMESTAMP(9), 2001-02-11 00:00:00:TIMESTAMP(9))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(i_item_sk=[$0], i_item_id=[$1], i_item_desc=[$4], i_current_price=[$5], i_class=[$10], i_category=[$12])
- HiveFilter(condition=[IN($12, _UTF-16LE'Books', _UTF-16LE'Jewelry', _UTF-16LE'Sports')])
+ HiveFilter(condition=[IN($12, 'Books ', 'Jewelry ', 'Sports ')])
HiveTableScan(table=[[default, item]], table:alias=[item])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query13.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query13.q.out
index 0a32c8957651..dd697ffc9f4e 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query13.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query13.q.out
@@ -5,19 +5,19 @@ HiveProject(_c0=[/(CAST($0):DOUBLE, $1)], _c1=[CAST(/($2, $3)):DECIMAL(11, 6)],
HiveJoin(condition=[=($1, $18)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[AND(=($2, $14), OR(AND($15, $7), AND($16, $8), AND($17, $9)))], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($6, $13)], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(ss_cdemo_sk=[$3], ss_hdemo_sk=[$4], ss_addr_sk=[$5], ss_quantity=[$9], ss_ext_sales_price=[$14], ss_ext_wholesale_cost=[$15], ss_sold_date_sk=[$22], EXPR$0=[BETWEEN(false, $21, 100:DECIMAL(12, 2), 200:DECIMAL(12, 2))], EXPR$1=[BETWEEN(false, $21, 150:DECIMAL(12, 2), 300:DECIMAL(12, 2))], EXPR$2=[BETWEEN(false, $21, 50:DECIMAL(12, 2), 250:DECIMAL(12, 2))], EXPR$5=[BETWEEN(false, $12, 100:DECIMAL(3, 0), 150:DECIMAL(3, 0))], EXPR$8=[BETWEEN(false, $12, 50:DECIMAL(3, 0), 100:DECIMAL(3, 0))], EXPR$11=[BETWEEN(false, $12, 150:DECIMAL(3, 0), 200:DECIMAL(3, 0))])
+ HiveProject(ss_cdemo_sk=[$3], ss_hdemo_sk=[$4], ss_addr_sk=[$5], ss_quantity=[$9], ss_ext_sales_price=[$14], ss_ext_wholesale_cost=[$15], ss_sold_date_sk=[$22], EXPR$0=[BETWEEN(false, $21, 100.00:DECIMAL(12, 2), 200.00:DECIMAL(12, 2))], EXPR$1=[BETWEEN(false, $21, 150.00:DECIMAL(12, 2), 300.00:DECIMAL(12, 2))], EXPR$2=[BETWEEN(false, $21, 50.00:DECIMAL(12, 2), 250.00:DECIMAL(12, 2))], EXPR$5=[BETWEEN(false, $12, 100:DECIMAL(3, 0), 150:DECIMAL(3, 0))], EXPR$8=[BETWEEN(false, $12, 50:DECIMAL(3, 0), 100:DECIMAL(3, 0))], EXPR$11=[BETWEEN(false, $12, 150:DECIMAL(3, 0), 200:DECIMAL(3, 0))])
HiveFilter(condition=[AND(IS NOT NULL($21), IS NOT NULL($12), IS NOT NULL($3), IS NOT NULL($5), IS NOT NULL($4), IS NOT NULL($6), IS NOT NULL($22))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
HiveProject(d_date_sk=[$0])
HiveFilter(condition=[=($6, 2001)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
- HiveProject(ca_address_sk=[$0], EXPR$0=[IN($8, _UTF-16LE'GA', _UTF-16LE'KY', _UTF-16LE'NM')], EXPR$1=[IN($8, _UTF-16LE'IN', _UTF-16LE'MT', _UTF-16LE'OR')], EXPR$2=[IN($8, _UTF-16LE'MO', _UTF-16LE'WI', _UTF-16LE'WV')])
- HiveFilter(condition=[AND(IN($8, _UTF-16LE'GA', _UTF-16LE'IN', _UTF-16LE'KY', _UTF-16LE'MO', _UTF-16LE'MT', _UTF-16LE'NM', _UTF-16LE'OR', _UTF-16LE'WI', _UTF-16LE'WV'), =($10, _UTF-16LE'United States'))])
+ HiveProject(ca_address_sk=[$0], EXPR$0=[IN($8, 'GA', 'KY', 'NM')], EXPR$1=[IN($8, 'IN', 'MT', 'OR')], EXPR$2=[IN($8, 'MO', 'WI', 'WV')])
+ HiveFilter(condition=[AND(IN($8, 'GA', 'IN', 'KY', 'MO', 'MT', 'NM', 'OR', 'WI', 'WV'), =($10, 'United States'))])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveProject(hd_demo_sk=[$0], EXPR$0=[=($3, 3)], EXPR$1=[=($3, 1)])
HiveFilter(condition=[IN($3, 1, 3)])
HiveTableScan(table=[[default, household_demographics]], table:alias=[household_demographics])
- HiveProject(cd_demo_sk=[$0], EXPR$3=[=($2, _UTF-16LE'M')], EXPR$4=[=($3, _UTF-16LE'4 yr Degree')], EXPR$6=[=($2, _UTF-16LE'D')], EXPR$7=[=($3, _UTF-16LE'Primary')], EXPR$9=[=($2, _UTF-16LE'U')], EXPR$10=[=($3, _UTF-16LE'Advanced Degree')])
- HiveFilter(condition=[AND(IN($2, _UTF-16LE'D', _UTF-16LE'M', _UTF-16LE'U'), IN($3, _UTF-16LE'4 yr Degree', _UTF-16LE'Advanced Degree', _UTF-16LE'Primary'))])
+ HiveProject(cd_demo_sk=[$0], EXPR$3=[=($2, 'M')], EXPR$4=[=($3, '4 yr Degree ')], EXPR$6=[=($2, 'D')], EXPR$7=[=($3, 'Primary ')], EXPR$9=[=($2, 'U')], EXPR$10=[=($3, 'Advanced Degree ')])
+ HiveFilter(condition=[AND(IN($2, 'D', 'M', 'U'), IN($3, '4 yr Degree ', 'Advanced Degree ', 'Primary '))])
HiveTableScan(table=[[default, customer_demographics]], table:alias=[customer_demographics])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query14.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query14.q.out
index 1666a5956211..4cfe4453b85c 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query14.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query14.q.out
@@ -8,7 +8,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], dir0=[ASC], dir1=[
HiveAggregate(group=[{0, 1, 2, 3}], groups=[[{0, 1, 2, 3}, {0, 1, 2}, {0, 1}, {0}, {}]], agg#0=[sum($4)], agg#1=[sum($5)])
HiveProject(channel=[$0], i_brand_id=[$1], i_class_id=[$2], i_category_id=[$3], sales=[$4], number_sales=[$5])
HiveUnion(all=[true])
- HiveProject(channel=[_UTF-16LE'store':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], i_brand_id=[$0], i_class_id=[$1], i_category_id=[$2], sales=[$3], number_sales=[$4])
+ HiveProject(channel=['store':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], i_brand_id=[$0], i_class_id=[$1], i_category_id=[$2], sales=[$3], number_sales=[$4])
HiveJoin(condition=[>($3, $6)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject($f0=[$0], $f1=[$1], $f2=[$2], $f3=[$3], $f4=[$4])
HiveFilter(condition=[IS NOT NULL($3)])
@@ -83,7 +83,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], dir0=[ASC], dir1=[
HiveProject(average_sales=[$0])
HiveFilter(condition=[IS NOT NULL($0)])
HiveTableScan(table=[[default, avg_sales]], table:alias=[avg_sales])
- HiveProject(channel=[_UTF-16LE'catalog':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], i_brand_id=[$0], i_class_id=[$1], i_category_id=[$2], sales=[$3], number_sales=[$4])
+ HiveProject(channel=['catalog':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], i_brand_id=[$0], i_class_id=[$1], i_category_id=[$2], sales=[$3], number_sales=[$4])
HiveJoin(condition=[>($3, $6)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject($f0=[$0], $f1=[$1], $f2=[$2], $f3=[$3], $f4=[$4])
HiveFilter(condition=[IS NOT NULL($3)])
@@ -158,7 +158,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], dir0=[ASC], dir1=[
HiveProject(average_sales=[$0])
HiveFilter(condition=[IS NOT NULL($0)])
HiveTableScan(table=[[default, avg_sales]], table:alias=[avg_sales])
- HiveProject(channel=[_UTF-16LE'web':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], i_brand_id=[$0], i_class_id=[$1], i_category_id=[$2], sales=[$3], number_sales=[$4])
+ HiveProject(channel=['web':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], i_brand_id=[$0], i_class_id=[$1], i_category_id=[$2], sales=[$3], number_sales=[$4])
HiveJoin(condition=[>($3, $6)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject($f0=[$0], $f1=[$1], $f2=[$2], $f3=[$3], $f4=[$4])
HiveFilter(condition=[IS NOT NULL($3)])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query15.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query15.q.out
index 63bd5b7fd814..63ecbe7b9be5 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query15.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query15.q.out
@@ -2,12 +2,12 @@ CBO PLAN:
HiveSortLimit(sort0=[$0], dir0=[ASC], fetch=[100])
HiveProject(ca_zip=[$0], _c1=[$1])
HiveAggregate(group=[{3}], agg#0=[sum($7)])
- HiveJoin(condition=[AND(=($6, $0), OR($4, $9, $5))], joinType=[inner], algorithm=[none], cost=[not available])
+ HiveJoin(condition=[AND(=($6, $0), OR($4, $5, $9))], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($1, $2)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(c_customer_sk=[$0], c_current_addr_sk=[$4])
HiveFilter(condition=[IS NOT NULL($4)])
HiveTableScan(table=[[default, customer]], table:alias=[customer])
- HiveProject(ca_address_sk=[$0], ca_zip=[$9], EXPR$0=[IN($8, _UTF-16LE'CA', _UTF-16LE'GA', _UTF-16LE'WA')], EXPR$1=[IN(substr($9, 1, 5), _UTF-16LE'85669':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'86197':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'88274':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'83405':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'86475':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'85392':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'85460':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'80348':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'81792':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")])
+ HiveProject(ca_address_sk=[$0], ca_zip=[$9], EXPR$0=[IN(substr($9, 1, 5), '80348':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '81792':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '83405':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '85392':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '85460':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '85669':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '86197':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '86475':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '88274':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")], EXPR$1=[IN($8, 'CA', 'GA', 'WA')])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveProject(cs_bill_customer_sk=[$0], cs_sales_price=[$1], cs_sold_date_sk=[$2], EXPR$0=[$3], d_date_sk=[$4])
HiveJoin(condition=[=($2, $4)], joinType=[inner], algorithm=[none], cost=[not available])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query16.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query16.q.out
index 4e9966445da8..457d9093e2f4 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query16.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query16.q.out
@@ -6,8 +6,8 @@ HiveProject(order count=[$0], total shipping cost=[$1], total net profit=[$2])
HiveProject(cs_ship_date_sk=[$2], cs_ship_addr_sk=[$3], cs_call_center_sk=[$4], cs_warehouse_sk=[$5], cs_order_number=[$6], cs_ext_ship_cost=[$7], cs_net_profit=[$8], d_date_sk=[$9], d_date=[$10], ca_address_sk=[$0], ca_state=[$1], cc_call_center_sk=[$11], cc_county=[$12])
HiveJoin(condition=[=($4, $11)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($3, $0)], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(ca_address_sk=[$0], ca_state=[CAST(_UTF-16LE'NY'):CHAR(2) CHARACTER SET "UTF-16LE"])
- HiveFilter(condition=[=($8, _UTF-16LE'NY')])
+ HiveProject(ca_address_sk=[$0], ca_state=[CAST('NY'):CHAR(2) CHARACTER SET "UTF-16LE"])
+ HiveFilter(condition=[=($8, 'NY')])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveJoin(condition=[=($0, $7)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(cs_ship_date_sk=[$1], cs_ship_addr_sk=[$9], cs_call_center_sk=[$10], cs_warehouse_sk=[$13], cs_order_number=[$16], cs_ext_ship_cost=[$27], cs_net_profit=[$32])
@@ -17,7 +17,7 @@ HiveProject(order count=[$0], total shipping cost=[$1], total net profit=[$2])
HiveFilter(condition=[BETWEEN(false, CAST($2):TIMESTAMP(9), 2001-04-01 00:00:00:TIMESTAMP(9), 2001-05-31 00:00:00:TIMESTAMP(9))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(cc_call_center_sk=[$0], cc_county=[$25])
- HiveFilter(condition=[IN($25, _UTF-16LE'Daviess County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Franklin Parish':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Huron County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Levy County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Ziebach County':VARCHAR(30) CHARACTER SET "UTF-16LE")])
+ HiveFilter(condition=[IN($25, 'Daviess County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Franklin Parish':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Huron County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Levy County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Ziebach County':VARCHAR(30) CHARACTER SET "UTF-16LE")])
HiveTableScan(table=[[default, call_center]], table:alias=[call_center])
HiveProject(cs_warehouse_sk=[$13], cs_order_number=[$16])
HiveFilter(condition=[IS NOT NULL($13)])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query17.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query17.q.out
index cbdc327d995a..deb86a5642f0 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query17.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query17.q.out
@@ -11,7 +11,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[ASC], dir1=[ASC], dir2=[
HiveFilter(condition=[AND(IS NOT NULL($2), IS NOT NULL($33))])
HiveTableScan(table=[[default, catalog_sales]], table:alias=[catalog_sales])
HiveProject(d_date_sk=[$0])
- HiveFilter(condition=[IN($15, _UTF-16LE'2000Q1', _UTF-16LE'2000Q2', _UTF-16LE'2000Q3')])
+ HiveFilter(condition=[IN($15, '2000Q1', '2000Q2', '2000Q3')])
HiveTableScan(table=[[default, date_dim]], table:alias=[d3])
HiveProject(ss_item_sk=[$0], ss_customer_sk=[$1], ss_store_sk=[$2], ss_ticket_number=[$3], ss_quantity=[$4], ss_sold_date_sk=[$5], d_date_sk=[$6], sr_item_sk=[$7], sr_customer_sk=[$8], sr_ticket_number=[$9], sr_return_quantity=[$10], sr_returned_date_sk=[$11], d_date_sk0=[$12])
HiveJoin(condition=[AND(=($1, $8), =($0, $7), =($3, $9))], joinType=[inner], algorithm=[none], cost=[not available])
@@ -20,7 +20,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[ASC], dir1=[ASC], dir2=[
HiveFilter(condition=[AND(IS NOT NULL($2), IS NOT NULL($6), IS NOT NULL($22))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
HiveProject(d_date_sk=[$0])
- HiveFilter(condition=[=($15, _UTF-16LE'2000Q1')])
+ HiveFilter(condition=[=($15, '2000Q1')])
HiveTableScan(table=[[default, date_dim]], table:alias=[d1])
HiveProject(sr_item_sk=[$0], sr_customer_sk=[$1], sr_ticket_number=[$2], sr_return_quantity=[$3], sr_returned_date_sk=[$4], d_date_sk=[$5])
HiveJoin(condition=[=($4, $5)], joinType=[inner], algorithm=[none], cost=[not available])
@@ -28,7 +28,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[ASC], dir1=[ASC], dir2=[
HiveFilter(condition=[AND(IS NOT NULL($2), IS NOT NULL($19))])
HiveTableScan(table=[[default, store_returns]], table:alias=[store_returns])
HiveProject(d_date_sk=[$0])
- HiveFilter(condition=[IN($15, _UTF-16LE'2000Q1', _UTF-16LE'2000Q2', _UTF-16LE'2000Q3')])
+ HiveFilter(condition=[IN($15, '2000Q1', '2000Q2', '2000Q3')])
HiveTableScan(table=[[default, date_dim]], table:alias=[d2])
HiveProject(s_store_sk=[$0], s_state=[$24])
HiveTableScan(table=[[default, store]], table:alias=[store])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query18.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query18.q.out
index 2acdb87cc00a..2af559040959 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query18.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query18.q.out
@@ -14,7 +14,7 @@ HiveSortLimit(sort0=[$1], sort1=[$2], sort2=[$3], sort3=[$0], dir0=[ASC], dir1=[
HiveFilter(condition=[=($6, 2001)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(cd_demo_sk=[$0], $f10=[CAST($6):DECIMAL(12, 2)])
- HiveFilter(condition=[AND(=($1, _UTF-16LE'M'), =($3, _UTF-16LE'College '))])
+ HiveFilter(condition=[AND(=($1, 'M'), =($3, 'College '))])
HiveTableScan(table=[[default, customer_demographics]], table:alias=[cd1])
HiveProject(c_customer_sk=[$0], c_current_cdemo_sk=[$1], c_current_addr_sk=[$2], $f9=[$3], ca_address_sk=[$4], ca_county=[$5], ca_state=[$6], ca_country=[$7])
HiveJoin(condition=[=($2, $4)], joinType=[inner], algorithm=[none], cost=[not available])
@@ -22,7 +22,7 @@ HiveSortLimit(sort0=[$1], sort1=[$2], sort2=[$3], sort3=[$0], dir0=[ASC], dir1=[
HiveFilter(condition=[AND(IN($12, 1, 4, 5, 9, 10, 12), IS NOT NULL($2), IS NOT NULL($4))])
HiveTableScan(table=[[default, customer]], table:alias=[customer])
HiveProject(ca_address_sk=[$0], ca_county=[$7], ca_state=[$8], ca_country=[$10])
- HiveFilter(condition=[IN($8, _UTF-16LE'AL', _UTF-16LE'MS', _UTF-16LE'NC', _UTF-16LE'ND', _UTF-16LE'OK', _UTF-16LE'TN', _UTF-16LE'WI')])
+ HiveFilter(condition=[IN($8, 'AL', 'MS', 'NC', 'ND', 'OK', 'TN', 'WI')])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveProject(i_item_sk=[$0], i_item_id=[$1])
HiveTableScan(table=[[default, item]], table:alias=[item])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query2.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query2.q.out
index c6c150a4651d..a42724f2b95c 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query2.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query2.q.out
@@ -15,7 +15,7 @@ HiveSortLimit(sort0=[$0], dir0=[ASC])
HiveProject(sold_date_sk=[$33], sales_price=[$22])
HiveFilter(condition=[IS NOT NULL($33)])
HiveTableScan(table=[[default, catalog_sales]], table:alias=[catalog_sales])
- HiveProject(d_date_sk=[$0], d_week_seq=[$4], EXPR$0=[=($14, _UTF-16LE'Sunday ')], EXPR$1=[=($14, _UTF-16LE'Monday ')], EXPR$2=[=($14, _UTF-16LE'Tuesday ')], EXPR$3=[=($14, _UTF-16LE'Wednesday')], EXPR$4=[=($14, _UTF-16LE'Thursday ')], EXPR$5=[=($14, _UTF-16LE'Friday ')], EXPR$6=[=($14, _UTF-16LE'Saturday ')])
+ HiveProject(d_date_sk=[$0], d_week_seq=[$4], EXPR$0=[=($14, 'Sunday ')], EXPR$1=[=($14, 'Monday ')], EXPR$2=[=($14, 'Tuesday ')], EXPR$3=[=($14, 'Wednesday')], EXPR$4=[=($14, 'Thursday ')], EXPR$5=[=($14, 'Friday ')], EXPR$6=[=($14, 'Saturday ')])
HiveFilter(condition=[IS NOT NULL($4)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(d_week_seq=[$4])
@@ -35,7 +35,7 @@ HiveSortLimit(sort0=[$0], dir0=[ASC])
HiveProject(sold_date_sk=[$33], sales_price=[$22])
HiveFilter(condition=[IS NOT NULL($33)])
HiveTableScan(table=[[default, catalog_sales]], table:alias=[catalog_sales])
- HiveProject(d_date_sk=[$0], d_week_seq=[$4], EXPR$0=[=($14, _UTF-16LE'Sunday ')], EXPR$1=[=($14, _UTF-16LE'Monday ')], EXPR$2=[=($14, _UTF-16LE'Tuesday ')], EXPR$3=[=($14, _UTF-16LE'Wednesday')], EXPR$4=[=($14, _UTF-16LE'Thursday ')], EXPR$5=[=($14, _UTF-16LE'Friday ')], EXPR$6=[=($14, _UTF-16LE'Saturday ')])
+ HiveProject(d_date_sk=[$0], d_week_seq=[$4], EXPR$0=[=($14, 'Sunday ')], EXPR$1=[=($14, 'Monday ')], EXPR$2=[=($14, 'Tuesday ')], EXPR$3=[=($14, 'Wednesday')], EXPR$4=[=($14, 'Thursday ')], EXPR$5=[=($14, 'Friday ')], EXPR$6=[=($14, 'Saturday ')])
HiveFilter(condition=[IS NOT NULL($4)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(d_week_seq=[$4])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query20.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query20.q.out
index c96f9bdb6b8e..bb9c51b7e23e 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query20.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query20.q.out
@@ -12,6 +12,6 @@ HiveProject(i_item_desc=[$0], i_category=[$1], i_class=[$2], i_current_price=[$3
HiveFilter(condition=[BETWEEN(false, CAST($2):TIMESTAMP(9), 2001-01-12 00:00:00:TIMESTAMP(9), 2001-02-11 00:00:00:TIMESTAMP(9))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(i_item_sk=[$0], i_item_id=[$1], i_item_desc=[$4], i_current_price=[$5], i_class=[$10], i_category=[$12])
- HiveFilter(condition=[IN($12, _UTF-16LE'Books', _UTF-16LE'Jewelry', _UTF-16LE'Sports')])
+ HiveFilter(condition=[IN($12, 'Books ', 'Jewelry ', 'Sports ')])
HiveTableScan(table=[[default, item]], table:alias=[item])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query21.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query21.q.out
index a6d2b3e4911c..50d33992dc6d 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query21.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query21.q.out
@@ -1,7 +1,7 @@
CBO PLAN:
HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveProject(x.w_warehouse_name=[$0], x.i_item_id=[$1], x.inv_before=[$2], x.inv_after=[$3])
- HiveFilter(condition=[AND(CASE(>($2, 0), <=(6.66667E-1, /(CAST($3):DOUBLE, CAST($2):DOUBLE)), false), CASE(>($2, 0), <=(/(CAST($3):DOUBLE, CAST($2):DOUBLE), 1.5E0), false))])
+ HiveFilter(condition=[AND(CASE(>($2, 0), <=(0.666667E0, /(CAST($3):DOUBLE, CAST($2):DOUBLE)), false), CASE(>($2, 0), <=(/(CAST($3):DOUBLE, CAST($2):DOUBLE), 1.5E0), false))])
HiveAggregate(group=[{0, 1}], agg#0=[sum($2)], agg#1=[sum($3)])
HiveProject($f0=[$1], $f1=[$10], $f2=[CASE($7, $5, 0)], $f3=[CASE($8, $5, 0)])
HiveJoin(condition=[=($4, $0)], joinType=[inner], algorithm=[none], cost=[not available])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query23.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query23.q.out
index 290ffed72123..dc4baba65a53 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query23.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query23.q.out
@@ -37,7 +37,7 @@ HiveProject(_c0=[$0])
HiveProject(ss_customer_sk=[CAST($2):BIGINT NOT NULL], $f1=[*(CAST($9):DECIMAL(10, 0), $12)])
HiveFilter(condition=[IS NOT NULL($2)])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
- HiveProject(EXPR$0=[*(0.95:DECIMAL(16, 6), $0)])
+ HiveProject(EXPR$0=[*(0.950000:DECIMAL(16, 6), $0)])
HiveFilter(condition=[IS NOT NULL($0)])
HiveProject($f0=[$0])
HiveAggregate(group=[{}], agg#0=[max($1)])
@@ -83,7 +83,7 @@ HiveProject(_c0=[$0])
HiveProject(ss_customer_sk=[CAST($2):BIGINT NOT NULL], $f1=[*(CAST($9):DECIMAL(10, 0), $12)])
HiveFilter(condition=[IS NOT NULL($2)])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
- HiveProject(EXPR$0=[*(0.95:DECIMAL(16, 6), $0)])
+ HiveProject(EXPR$0=[*(0.950000:DECIMAL(16, 6), $0)])
HiveFilter(condition=[IS NOT NULL($0)])
HiveProject($f0=[$0])
HiveAggregate(group=[{}], agg#0=[max($1)])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query24.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query24.q.out
index f59f8a569afc..a4f3f03c1b64 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query24.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query24.q.out
@@ -29,7 +29,7 @@ HiveProject(c_last_name=[$0], c_first_name=[$1], s_store_name=[$2], paid=[$3])
HiveFilter(condition=[AND(=($10, 7), IS NOT NULL($25))])
HiveTableScan(table=[[default, store]], table:alias=[store])
HiveProject(i_item_sk=[$0], i_current_price=[$5], i_size=[$15], i_units=[$18], i_manager_id=[$20])
- HiveFilter(condition=[=($17, _UTF-16LE'orchid ')])
+ HiveFilter(condition=[=($17, 'orchid ')])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(_o__c0=[*(0.05:DECIMAL(2, 2), CAST(/($0, $1)):DECIMAL(21, 6))])
HiveFilter(condition=[IS NOT NULL(CAST(/($0, $1)):DECIMAL(21, 6))])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query26.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query26.q.out
index dda45cc67163..0ac6eb5e41ed 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query26.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query26.q.out
@@ -13,10 +13,10 @@ HiveSortLimit(sort0=[$0], dir0=[ASC], fetch=[100])
HiveFilter(condition=[=($6, 1998)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(cd_demo_sk=[$0])
- HiveFilter(condition=[AND(=($2, _UTF-16LE'W'), =($1, _UTF-16LE'F'), =($3, _UTF-16LE'Primary '))])
+ HiveFilter(condition=[AND(=($2, 'W'), =($1, 'F'), =($3, 'Primary '))])
HiveTableScan(table=[[default, customer_demographics]], table:alias=[customer_demographics])
HiveProject(p_promo_sk=[$0])
- HiveFilter(condition=[OR(=($9, _UTF-16LE'N'), =($14, _UTF-16LE'N'))])
+ HiveFilter(condition=[OR(=($9, 'N'), =($14, 'N'))])
HiveTableScan(table=[[default, promotion]], table:alias=[promotion])
HiveProject(i_item_sk=[$0], i_item_id=[$1])
HiveTableScan(table=[[default, item]], table:alias=[item])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query27.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query27.q.out
index b3a723cd05cb..51cdedd15423 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query27.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query27.q.out
@@ -14,10 +14,10 @@ HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveFilter(condition=[=($6, 2001)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(cd_demo_sk=[$0])
- HiveFilter(condition=[AND(=($2, _UTF-16LE'U'), =($1, _UTF-16LE'M'), =($3, _UTF-16LE'2 yr Degree '))])
+ HiveFilter(condition=[AND(=($2, 'U'), =($1, 'M'), =($3, '2 yr Degree '))])
HiveTableScan(table=[[default, customer_demographics]], table:alias=[customer_demographics])
HiveProject(s_store_sk=[$0], s_state=[$24])
- HiveFilter(condition=[IN($24, _UTF-16LE'FL', _UTF-16LE'LA', _UTF-16LE'MI', _UTF-16LE'MO', _UTF-16LE'SC', _UTF-16LE'SD')])
+ HiveFilter(condition=[IN($24, 'FL', 'LA', 'MI', 'MO', 'SC', 'SD')])
HiveTableScan(table=[[default, store]], table:alias=[store])
HiveProject(i_item_sk=[$0], i_item_id=[$1])
HiveTableScan(table=[[default, item]], table:alias=[item])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query28.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query28.q.out
index ede33acc5e69..9d4087142c5f 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query28.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query28.q.out
@@ -12,26 +12,26 @@ HiveProject(b1.b1_lp=[$0], b1.b1_cnt=[$1], b1.b1_cntd=[$2], b2.b2_lp=[$15], b2.b
HiveJoin(condition=[true], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(b1_lp=[CAST(/($0, $1)):DECIMAL(11, 6)], b1_cnt=[$1], b1_cntd=[$2])
HiveAggregate(group=[{}], agg#0=[sum($11)], agg#1=[count($11)], agg#2=[count(DISTINCT $11)])
- HiveFilter(condition=[AND(BETWEEN(false, $9, 0, 5), OR(BETWEEN(false, $11, 11:DECIMAL(12, 2), 21:DECIMAL(12, 2)), BETWEEN(false, $18, 460:DECIMAL(12, 2), 1460:DECIMAL(12, 2)), BETWEEN(false, $10, 14:DECIMAL(12, 2), 34:DECIMAL(12, 2))))])
+ HiveFilter(condition=[AND(BETWEEN(false, $9, 0, 5), OR(BETWEEN(false, $11, 11.00:DECIMAL(12, 2), 21.00:DECIMAL(12, 2)), BETWEEN(false, $18, 460.00:DECIMAL(12, 2), 1460.00:DECIMAL(12, 2)), BETWEEN(false, $10, 14.00:DECIMAL(12, 2), 34.00:DECIMAL(12, 2))))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
HiveProject(b6_lp=[CAST(/($0, $1)):DECIMAL(11, 6)], b6_cnt=[$1], b6_cntd=[$2])
HiveAggregate(group=[{}], agg#0=[sum($11)], agg#1=[count($11)], agg#2=[count(DISTINCT $11)])
- HiveFilter(condition=[AND(BETWEEN(false, $9, 26, 30), OR(BETWEEN(false, $11, 28:DECIMAL(12, 2), 38:DECIMAL(12, 2)), BETWEEN(false, $18, 2513:DECIMAL(12, 2), 3513:DECIMAL(12, 2)), BETWEEN(false, $10, 42:DECIMAL(12, 2), 62:DECIMAL(12, 2))))])
+ HiveFilter(condition=[AND(BETWEEN(false, $9, 26, 30), OR(BETWEEN(false, $11, 28.00:DECIMAL(12, 2), 38.00:DECIMAL(12, 2)), BETWEEN(false, $18, 2513.00:DECIMAL(12, 2), 3513.00:DECIMAL(12, 2)), BETWEEN(false, $10, 42.00:DECIMAL(12, 2), 62.00:DECIMAL(12, 2))))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
HiveProject(b5_lp=[CAST(/($0, $1)):DECIMAL(11, 6)], b5_cnt=[$1], b5_cntd=[$2])
HiveAggregate(group=[{}], agg#0=[sum($11)], agg#1=[count($11)], agg#2=[count(DISTINCT $11)])
- HiveFilter(condition=[AND(BETWEEN(false, $9, 21, 25), OR(BETWEEN(false, $11, 135:DECIMAL(12, 2), 145:DECIMAL(12, 2)), BETWEEN(false, $18, 14180:DECIMAL(12, 2), 15180:DECIMAL(12, 2)), BETWEEN(false, $10, 38:DECIMAL(12, 2), 58:DECIMAL(12, 2))))])
+ HiveFilter(condition=[AND(BETWEEN(false, $9, 21, 25), OR(BETWEEN(false, $11, 135.00:DECIMAL(12, 2), 145.00:DECIMAL(12, 2)), BETWEEN(false, $18, 14180.00:DECIMAL(12, 2), 15180.00:DECIMAL(12, 2)), BETWEEN(false, $10, 38.00:DECIMAL(12, 2), 58.00:DECIMAL(12, 2))))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
HiveProject(b4_lp=[CAST(/($0, $1)):DECIMAL(11, 6)], b4_cnt=[$1], b4_cntd=[$2])
HiveAggregate(group=[{}], agg#0=[sum($11)], agg#1=[count($11)], agg#2=[count(DISTINCT $11)])
- HiveFilter(condition=[AND(BETWEEN(false, $9, 16, 20), OR(BETWEEN(false, $11, 142:DECIMAL(12, 2), 152:DECIMAL(12, 2)), BETWEEN(false, $18, 3054:DECIMAL(12, 2), 4054:DECIMAL(12, 2)), BETWEEN(false, $10, 80:DECIMAL(12, 2), 100:DECIMAL(12, 2))))])
+ HiveFilter(condition=[AND(BETWEEN(false, $9, 16, 20), OR(BETWEEN(false, $11, 142.00:DECIMAL(12, 2), 152.00:DECIMAL(12, 2)), BETWEEN(false, $18, 3054.00:DECIMAL(12, 2), 4054.00:DECIMAL(12, 2)), BETWEEN(false, $10, 80.00:DECIMAL(12, 2), 100.00:DECIMAL(12, 2))))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
HiveProject(b3_lp=[CAST(/($0, $1)):DECIMAL(11, 6)], b3_cnt=[$1], b3_cntd=[$2])
HiveAggregate(group=[{}], agg#0=[sum($11)], agg#1=[count($11)], agg#2=[count(DISTINCT $11)])
- HiveFilter(condition=[AND(BETWEEN(false, $9, 11, 15), OR(BETWEEN(false, $11, 66:DECIMAL(12, 2), 76:DECIMAL(12, 2)), BETWEEN(false, $18, 920:DECIMAL(12, 2), 1920:DECIMAL(12, 2)), BETWEEN(false, $10, 4:DECIMAL(12, 2), 24:DECIMAL(12, 2))))])
+ HiveFilter(condition=[AND(BETWEEN(false, $9, 11, 15), OR(BETWEEN(false, $11, 66.00:DECIMAL(12, 2), 76.00:DECIMAL(12, 2)), BETWEEN(false, $18, 920.00:DECIMAL(12, 2), 1920.00:DECIMAL(12, 2)), BETWEEN(false, $10, 4.00:DECIMAL(12, 2), 24.00:DECIMAL(12, 2))))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
HiveProject(b2_lp=[CAST(/($0, $1)):DECIMAL(11, 6)], b2_cnt=[$1], b2_cntd=[$2])
HiveAggregate(group=[{}], agg#0=[sum($11)], agg#1=[count($11)], agg#2=[count(DISTINCT $11)])
- HiveFilter(condition=[AND(BETWEEN(false, $9, 6, 10), OR(BETWEEN(false, $11, 91:DECIMAL(12, 2), 101:DECIMAL(12, 2)), BETWEEN(false, $18, 1430:DECIMAL(12, 2), 2430:DECIMAL(12, 2)), BETWEEN(false, $10, 32:DECIMAL(12, 2), 52:DECIMAL(12, 2))))])
+ HiveFilter(condition=[AND(BETWEEN(false, $9, 6, 10), OR(BETWEEN(false, $11, 91.00:DECIMAL(12, 2), 101.00:DECIMAL(12, 2)), BETWEEN(false, $18, 1430.00:DECIMAL(12, 2), 2430.00:DECIMAL(12, 2)), BETWEEN(false, $10, 32.00:DECIMAL(12, 2), 52.00:DECIMAL(12, 2))))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query30.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query30.q.out
index 5e5de8b19ec6..ad7fbfd889af 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query30.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query30.q.out
@@ -8,7 +8,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], sort4=[$4], sort5=
HiveFilter(condition=[IS NOT NULL($4)])
HiveTableScan(table=[[default, customer]], table:alias=[customer])
HiveProject(ca_address_sk=[$0])
- HiveFilter(condition=[=($8, _UTF-16LE'IL')])
+ HiveFilter(condition=[=($8, 'IL')])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveProject(wr_returning_customer_sk=[$0], ca_state=[$1], $f2=[$2])
HiveFilter(condition=[IS NOT NULL($2)])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query33.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query33.q.out
index b9956ea50903..744a642da453 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query33.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query33.q.out
@@ -16,14 +16,14 @@ HiveSortLimit(sort0=[$1], dir0=[ASC], fetch=[100])
HiveProject(d_date_sk=[$0], d_year=[CAST(1999):INTEGER], d_moy=[CAST(3):INTEGER])
HiveFilter(condition=[AND(=($6, 1999), =($8, 3))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
- HiveProject(ca_address_sk=[$0], ca_gmt_offset=[CAST(-6:DECIMAL(5, 2)):DECIMAL(5, 2)])
+ HiveProject(ca_address_sk=[$0], ca_gmt_offset=[CAST(-6.00:DECIMAL(5, 2)):DECIMAL(5, 2)])
HiveFilter(condition=[=($11, -6:DECIMAL(1, 0))])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveProject(i_item_sk=[$0], i_manufact_id=[$13])
HiveFilter(condition=[IS NOT NULL($13)])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(i_manufact_id=[$13])
- HiveFilter(condition=[AND(=($12, _UTF-16LE'Books '), IS NOT NULL($13))])
+ HiveFilter(condition=[AND(=($12, 'Books '), IS NOT NULL($13))])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(i_manufact_id=[$0], $f1=[$1])
HiveAggregate(group=[{10}], agg#0=[sum($2)])
@@ -37,14 +37,14 @@ HiveSortLimit(sort0=[$1], dir0=[ASC], fetch=[100])
HiveProject(d_date_sk=[$0], d_year=[CAST(1999):INTEGER], d_moy=[CAST(3):INTEGER])
HiveFilter(condition=[AND(=($6, 1999), =($8, 3))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
- HiveProject(ca_address_sk=[$0], ca_gmt_offset=[CAST(-6:DECIMAL(5, 2)):DECIMAL(5, 2)])
+ HiveProject(ca_address_sk=[$0], ca_gmt_offset=[CAST(-6.00:DECIMAL(5, 2)):DECIMAL(5, 2)])
HiveFilter(condition=[=($11, -6:DECIMAL(1, 0))])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveProject(i_item_sk=[$0], i_manufact_id=[$13])
HiveFilter(condition=[IS NOT NULL($13)])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(i_manufact_id=[$13])
- HiveFilter(condition=[AND(=($12, _UTF-16LE'Books '), IS NOT NULL($13))])
+ HiveFilter(condition=[AND(=($12, 'Books '), IS NOT NULL($13))])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(i_manufact_id=[$0], $f1=[$1])
HiveAggregate(group=[{10}], agg#0=[sum($2)])
@@ -58,13 +58,13 @@ HiveSortLimit(sort0=[$1], dir0=[ASC], fetch=[100])
HiveProject(d_date_sk=[$0], d_year=[CAST(1999):INTEGER], d_moy=[CAST(3):INTEGER])
HiveFilter(condition=[AND(=($6, 1999), =($8, 3))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
- HiveProject(ca_address_sk=[$0], ca_gmt_offset=[CAST(-6:DECIMAL(5, 2)):DECIMAL(5, 2)])
+ HiveProject(ca_address_sk=[$0], ca_gmt_offset=[CAST(-6.00:DECIMAL(5, 2)):DECIMAL(5, 2)])
HiveFilter(condition=[=($11, -6:DECIMAL(1, 0))])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveProject(i_item_sk=[$0], i_manufact_id=[$13])
HiveFilter(condition=[IS NOT NULL($13)])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(i_manufact_id=[$13])
- HiveFilter(condition=[AND(=($12, _UTF-16LE'Books '), IS NOT NULL($13))])
+ HiveFilter(condition=[AND(=($12, 'Books '), IS NOT NULL($13))])
HiveTableScan(table=[[default, item]], table:alias=[item])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query34.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query34.q.out
index 3df017c39ccb..aa62b77134c5 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query34.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query34.q.out
@@ -18,9 +18,9 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], dir0=[ASC], dir1=[
HiveFilter(condition=[AND(IN($6, 2000, 2001, 2002), OR(BETWEEN(false, $9, 1, 3), BETWEEN(false, $9, 25, 28)))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(hd_demo_sk=[$0])
- HiveFilter(condition=[AND(>($4, 0), IN($2, _UTF-16LE'>10000', _UTF-16LE'unknown'), CASE(>($4, 0), >(/(CAST($3):DOUBLE, CAST($4):DOUBLE), 1.2), false))])
+ HiveFilter(condition=[AND(>($4, 0), IN($2, '>10000 ', 'unknown '), CASE(>($4, 0), >(/(CAST($3):DOUBLE, CAST($4):DOUBLE), 1.2E0), false))])
HiveTableScan(table=[[default, household_demographics]], table:alias=[household_demographics])
HiveProject(s_store_sk=[$0])
- HiveFilter(condition=[IN($23, _UTF-16LE'Barrow County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Fairfield County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Huron County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Jackson County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Kittitas County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Maverick County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Mobile County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Pennington County':VARCHAR(30) CHARACTER SET "UTF-16LE")])
+ HiveFilter(condition=[IN($23, 'Barrow County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Fairfield County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Huron County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Jackson County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Kittitas County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Maverick County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Mobile County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Pennington County':VARCHAR(30) CHARACTER SET "UTF-16LE")])
HiveTableScan(table=[[default, store]], table:alias=[store])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query36.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query36.q.out
index ec7dc0021f08..374ed9a0d64c 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query36.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query36.q.out
@@ -15,7 +15,7 @@ HiveProject(gross_margin=[$0], i_category=[$1], i_class=[$2], lochierarchy=[$3],
HiveFilter(condition=[=($6, 1999)])
HiveTableScan(table=[[default, date_dim]], table:alias=[d1])
HiveProject(s_store_sk=[$0])
- HiveFilter(condition=[IN($24, _UTF-16LE'AL', _UTF-16LE'FL', _UTF-16LE'GA', _UTF-16LE'LA', _UTF-16LE'MI', _UTF-16LE'MO', _UTF-16LE'SC', _UTF-16LE'SD')])
+ HiveFilter(condition=[IN($24, 'AL', 'FL', 'GA', 'LA', 'MI', 'MO', 'SC', 'SD')])
HiveTableScan(table=[[default, store]], table:alias=[store])
HiveProject(i_item_sk=[$0], i_class=[$10], i_category=[$12])
HiveTableScan(table=[[default, item]], table:alias=[item])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query37.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query37.q.out
index e2ad185eef6f..622a9bea267a 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query37.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query37.q.out
@@ -11,7 +11,7 @@ HiveSortLimit(sort0=[$0], dir0=[ASC], fetch=[100])
HiveFilter(condition=[BETWEEN(false, $3, 100, 500)])
HiveTableScan(table=[[default, inventory]], table:alias=[inventory])
HiveProject(i_item_sk=[$0], i_item_id=[$1], i_item_desc=[$4], i_current_price=[$5])
- HiveFilter(condition=[AND(IN($13, 678, 849, 918, 964), BETWEEN(false, $5, 22:DECIMAL(12, 2), 52:DECIMAL(12, 2)))])
+ HiveFilter(condition=[AND(IN($13, 678, 849, 918, 964), BETWEEN(false, $5, 22.00:DECIMAL(12, 2), 52.00:DECIMAL(12, 2)))])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(d_date_sk=[$0])
HiveFilter(condition=[BETWEEN(false, CAST($2):TIMESTAMP(9), 2001-06-02 00:00:00:TIMESTAMP(9), 2001-08-01 00:00:00:TIMESTAMP(9))])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query39.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query39.q.out
index 39c458003a1c..585c2eec16c0 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query39.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query39.q.out
@@ -3,8 +3,8 @@ HiveProject(inv1.w_warehouse_sk=[$0], inv1.i_item_sk=[$1], inv1.d_moy=[CAST(4):I
HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], sort4=[$6], sort5=[$7], dir0=[ASC], dir1=[ASC], dir2=[ASC], dir3=[ASC], dir4=[ASC], dir5=[ASC])
HiveProject(w_warehouse_sk=[$0], i_item_sk=[$1], mean=[$6], cov=[$7], w_warehouse_sk0=[$0], i_item_sk0=[$1], mean0=[$2], cov0=[$3])
HiveJoin(condition=[AND(=($4, $0), =($5, $1))], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(w_warehouse_sk=[$0], i_item_sk=[$1], mean=[/(CAST($5):DOUBLE, $6)], cov=[CASE(=(/(CAST($5):DOUBLE, $6), 0E0), null:DOUBLE, /(POWER(/(-($2, /(*($3, $3), $4)), CASE(=($4, 1), null:BIGINT, -($4, 1))), 0.5:DECIMAL(2, 1)), /(CAST($5):DOUBLE, $6)))])
- HiveFilter(condition=[CASE(=(/(CAST($5):DOUBLE, $6), 0E0), false, >(/(POWER(/(-($2, /(*($3, $3), $4)), CASE(=($4, 1), null:BIGINT, -($4, 1))), 0.5:DECIMAL(2, 1)), /(CAST($5):DOUBLE, $6)), 1))])
+ HiveProject(w_warehouse_sk=[$0], i_item_sk=[$1], mean=[/(CAST($5):DOUBLE, $6)], cov=[CASE(=(/(CAST($5):DOUBLE, $6), 0.0E0), null:DOUBLE, /(POWER(/(-($2, /(*($3, $3), $4)), CASE(=($4, 1), null:BIGINT, -($4, 1))), 0.5:DECIMAL(2, 1)), /(CAST($5):DOUBLE, $6)))])
+ HiveFilter(condition=[CASE(=(/(CAST($5):DOUBLE, $6), 0.0E0), false, >(/(POWER(/(-($2, /(*($3, $3), $4)), CASE(=($4, 1), null:BIGINT, -($4, 1))), 0.5:DECIMAL(2, 1)), /(CAST($5):DOUBLE, $6)), 1.0E0))])
HiveAggregate(group=[{1, 2}], agg#0=[sum($5)], agg#1=[sum($4)], agg#2=[count($4)], agg#3=[sum($3)], agg#4=[count($3)])
HiveProject($f0=[$6], $f1=[$5], $f2=[$3], $f4=[$2], $f40=[CAST($2):DOUBLE], $f6=[*(CAST($2):DOUBLE, CAST($2):DOUBLE)])
HiveJoin(condition=[=($1, $5)], joinType=[inner], algorithm=[none], cost=[not available])
@@ -16,8 +16,8 @@ HiveProject(inv1.w_warehouse_sk=[$0], inv1.i_item_sk=[$1], inv1.d_moy=[CAST(4):I
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(w_warehouse_sk=[$0], w_warehouse_name=[$2])
HiveTableScan(table=[[default, warehouse]], table:alias=[warehouse])
- HiveProject(w_warehouse_sk=[$0], i_item_sk=[$1], mean=[/(CAST($5):DOUBLE, $6)], cov=[CASE(=(/(CAST($5):DOUBLE, $6), 0E0), null:DOUBLE, /(POWER(/(-($2, /(*($3, $3), $4)), CASE(=($4, 1), null:BIGINT, -($4, 1))), 0.5:DECIMAL(2, 1)), /(CAST($5):DOUBLE, $6)))])
- HiveFilter(condition=[CASE(=(/(CAST($5):DOUBLE, $6), 0E0), false, >(/(POWER(/(-($2, /(*($3, $3), $4)), CASE(=($4, 1), null:BIGINT, -($4, 1))), 0.5:DECIMAL(2, 1)), /(CAST($5):DOUBLE, $6)), 1))])
+ HiveProject(w_warehouse_sk=[$0], i_item_sk=[$1], mean=[/(CAST($5):DOUBLE, $6)], cov=[CASE(=(/(CAST($5):DOUBLE, $6), 0.0E0), null:DOUBLE, /(POWER(/(-($2, /(*($3, $3), $4)), CASE(=($4, 1), null:BIGINT, -($4, 1))), 0.5:DECIMAL(2, 1)), /(CAST($5):DOUBLE, $6)))])
+ HiveFilter(condition=[CASE(=(/(CAST($5):DOUBLE, $6), 0.0E0), false, >(/(POWER(/(-($2, /(*($3, $3), $4)), CASE(=($4, 1), null:BIGINT, -($4, 1))), 0.5:DECIMAL(2, 1)), /(CAST($5):DOUBLE, $6)), 1.0E0))])
HiveAggregate(group=[{1, 2}], agg#0=[sum($5)], agg#1=[sum($4)], agg#2=[count($4)], agg#3=[sum($3)], agg#4=[count($3)])
HiveProject($f0=[$6], $f1=[$5], $f2=[$3], $f4=[$2], $f40=[CAST($2):DOUBLE], $f6=[*(CAST($2):DOUBLE, CAST($2):DOUBLE)])
HiveJoin(condition=[=($1, $5)], joinType=[inner], algorithm=[none], cost=[not available])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query40.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query40.q.out
index 582967b597c1..313eb534ba72 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query40.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query40.q.out
@@ -2,7 +2,7 @@ CBO PLAN:
HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveProject(w_state=[$0], i_item_id=[$1], sales_before=[$2], sales_after=[$3])
HiveAggregate(group=[{0, 1}], agg#0=[sum($2)], agg#1=[sum($3)])
- HiveProject($f0=[$14], $f1=[$12], $f2=[CASE($9, -($3, CASE(IS NOT NULL($7), $7, 0:DECIMAL(12, 2))), 0:DECIMAL(13, 2))], $f3=[CASE($10, -($3, CASE(IS NOT NULL($7), $7, 0:DECIMAL(12, 2))), 0:DECIMAL(13, 2))])
+ HiveProject($f0=[$14], $f1=[$12], $f2=[CASE($9, -($3, CASE(IS NOT NULL($7), $7, 0.00:DECIMAL(12, 2))), 0.00:DECIMAL(13, 2))], $f3=[CASE($10, -($3, CASE(IS NOT NULL($7), $7, 0.00:DECIMAL(12, 2))), 0.00:DECIMAL(13, 2))])
HiveJoin(condition=[=($0, $13)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($11, $1)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($4, $8)], joinType=[inner], algorithm=[none], cost=[not available])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query41.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query41.q.out
index b91ec1153e8a..e045f95dbfa5 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query41.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query41.q.out
@@ -9,6 +9,6 @@ HiveSortLimit(sort0=[$0], dir0=[ASC], fetch=[100])
HiveProject(i_manufact=[$0])
HiveFilter(condition=[>($1, 0)])
HiveAggregate(group=[{14}], agg#0=[count()])
- HiveFilter(condition=[AND(OR(AND(=($12, _UTF-16LE'Women'), IN($17, _UTF-16LE'frosted', _UTF-16LE'rose'), IN($18, _UTF-16LE'Gross', _UTF-16LE'Lb'), IN($15, _UTF-16LE'large', _UTF-16LE'medium')), AND(=($12, _UTF-16LE'Women'), IN($17, _UTF-16LE'black', _UTF-16LE'chocolate'), IN($18, _UTF-16LE'Box', _UTF-16LE'Dram'), IN($15, _UTF-16LE'economy', _UTF-16LE'petite')), AND(=($12, _UTF-16LE'Men'), IN($17, _UTF-16LE'magenta', _UTF-16LE'slate'), IN($18, _UTF-16LE'Bundle', _UTF-16LE'Carton'), IN($15, _UTF-16LE'N/A', _UTF-16LE'small')), AND(=($12, _UTF-16LE'Men'), IN($17, _UTF-16LE'cornflower', _UTF-16LE'firebrick'), IN($18, _UTF-16LE'Oz', _UTF-16LE'Pound'), IN($15, _UTF-16LE'large', _UTF-16LE'medium')), AND(=($12, _UTF-16LE'Women'), IN($17, _UTF-16LE'almond', _UTF-16LE'steel'), IN($18, _UTF-16LE'Case', _UTF-16LE'Tsp'), IN($15, _UTF-16LE'large', _UTF-16LE'medium')), AND(=($12, _UTF-16LE'Women'), IN($17, _UTF-16LE'aquamarine', _UTF-16LE'purple'), IN($18, _UTF-16LE'Bunch', _UTF-16LE'Gram'), IN($15, _UTF-16LE'economy', _UTF-16LE'petite')), AND(=($12, _UTF-16LE'Men'), IN($17, _UTF-16LE'lavender', _UTF-16LE'papaya'), IN($18, _UTF-16LE'Cup', _UTF-16LE'Pallet'), IN($15, _UTF-16LE'N/A', _UTF-16LE'small')), AND(=($12, _UTF-16LE'Men'), IN($17, _UTF-16LE'cyan', _UTF-16LE'maroon'), IN($18, _UTF-16LE'Each', _UTF-16LE'N/A'), IN($15, _UTF-16LE'large', _UTF-16LE'medium'))), IS NOT NULL($14))])
+ HiveFilter(condition=[AND(OR(AND(=($12, 'Women '), IN($17, 'frosted ', 'rose '), IN($18, 'Gross ', 'Lb '), IN($15, 'large ', 'medium ')), AND(=($12, 'Women '), IN($17, 'black ', 'chocolate '), IN($18, 'Box ', 'Dram '), IN($15, 'economy ', 'petite ')), AND(=($12, 'Men '), IN($17, 'magenta ', 'slate '), IN($18, 'Bundle ', 'Carton '), IN($15, 'N/A ', 'small ')), AND(=($12, 'Men '), IN($17, 'cornflower ', 'firebrick '), IN($18, 'Oz ', 'Pound '), IN($15, 'large ', 'medium ')), AND(=($12, 'Women '), IN($17, 'almond ', 'steel '), IN($18, 'Case ', 'Tsp '), IN($15, 'large ', 'medium ')), AND(=($12, 'Women '), IN($17, 'aquamarine ', 'purple '), IN($18, 'Bunch ', 'Gram '), IN($15, 'economy ', 'petite ')), AND(=($12, 'Men '), IN($17, 'lavender ', 'papaya '), IN($18, 'Cup ', 'Pallet '), IN($15, 'N/A ', 'small ')), AND(=($12, 'Men '), IN($17, 'cyan ', 'maroon '), IN($18, 'Each ', 'N/A '), IN($15, 'large ', 'medium '))), IS NOT NULL($14))])
HiveTableScan(table=[[default, item]], table:alias=[item])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query43.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query43.q.out
index a20883c6a5d7..76f1f7f3d272 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query43.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query43.q.out
@@ -8,7 +8,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], sort4=[$4], sort5=
HiveProject(ss_store_sk=[$6], ss_sales_price=[$12], ss_sold_date_sk=[$22])
HiveFilter(condition=[AND(IS NOT NULL($6), IS NOT NULL($22))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
- HiveProject(d_date_sk=[$0], EXPR$0=[=($14, _UTF-16LE'Sunday ')], EXPR$1=[=($14, _UTF-16LE'Monday ')], EXPR$2=[=($14, _UTF-16LE'Tuesday ')], EXPR$3=[=($14, _UTF-16LE'Wednesday')], EXPR$4=[=($14, _UTF-16LE'Thursday ')], EXPR$5=[=($14, _UTF-16LE'Friday ')], EXPR$6=[=($14, _UTF-16LE'Saturday ')])
+ HiveProject(d_date_sk=[$0], EXPR$0=[=($14, 'Sunday ')], EXPR$1=[=($14, 'Monday ')], EXPR$2=[=($14, 'Tuesday ')], EXPR$3=[=($14, 'Wednesday')], EXPR$4=[=($14, 'Thursday ')], EXPR$5=[=($14, 'Friday ')], EXPR$6=[=($14, 'Saturday ')])
HiveFilter(condition=[=($6, 1998)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(s_store_sk=[$0], s_store_id=[$1], s_store_name=[$5])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query45.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query45.q.out
index ce42781178eb..851b3f59bb73 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query45.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query45.q.out
@@ -2,7 +2,7 @@ CBO PLAN:
HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveProject(ca_zip=[$1], ca_county=[$0], _c2=[$2])
HiveAggregate(group=[{7, 8}], agg#0=[sum($2)])
- HiveFilter(condition=[OR(IS NOT NULL($15), IN(substr($8, 1, 5), _UTF-16LE'85669':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'86197':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'88274':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'83405':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'86475':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'85392':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'85460':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'80348':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'81792':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"))])
+ HiveFilter(condition=[OR(IS NOT NULL($15), IN(substr($8, 1, 5), '80348':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '81792':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '83405':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '85392':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '85460':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '85669':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '86197':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '86475':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '88274':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"))])
HiveProject(ws_item_sk=[$5], ws_bill_customer_sk=[$6], ws_sales_price=[$7], ws_sold_date_sk=[$8], c_customer_sk=[$0], c_current_addr_sk=[$1], ca_address_sk=[$2], ca_county=[$3], ca_zip=[$4], d_date_sk=[$9], d_year=[$10], d_qoy=[$11], i_item_sk=[$12], i_item_id=[$13], i_item_id0=[$14], literalTrue=[$15])
HiveJoin(condition=[=($5, $12)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($6, $0)], joinType=[inner], algorithm=[none], cost=[not available])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query46.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query46.q.out
index abdbebce09c7..da767daf8383 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query46.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query46.q.out
@@ -23,7 +23,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], sort4=[$4], dir0=[
HiveFilter(condition=[AND(IN($6, 1998, 1999, 2000), IN($7, 0, 6))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(s_store_sk=[$0])
- HiveFilter(condition=[IN($22, _UTF-16LE'Cedar Grove':VARCHAR(60) CHARACTER SET "UTF-16LE", _UTF-16LE'Highland Park':VARCHAR(60) CHARACTER SET "UTF-16LE", _UTF-16LE'Salem':VARCHAR(60) CHARACTER SET "UTF-16LE", _UTF-16LE'Union':VARCHAR(60) CHARACTER SET "UTF-16LE", _UTF-16LE'Wildwood':VARCHAR(60) CHARACTER SET "UTF-16LE")])
+ HiveFilter(condition=[IN($22, 'Cedar Grove':VARCHAR(60) CHARACTER SET "UTF-16LE", 'Highland Park':VARCHAR(60) CHARACTER SET "UTF-16LE", 'Salem':VARCHAR(60) CHARACTER SET "UTF-16LE", 'Union':VARCHAR(60) CHARACTER SET "UTF-16LE", 'Wildwood':VARCHAR(60) CHARACTER SET "UTF-16LE")])
HiveTableScan(table=[[default, store]], table:alias=[store])
HiveProject(hd_demo_sk=[$0])
HiveFilter(condition=[OR(=($4, 1), =($3, 2))])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query48.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query48.q.out
index 9d2e9add949f..32ffaa471159 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query48.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query48.q.out
@@ -2,15 +2,15 @@ CBO PLAN:
HiveProject(_c0=[$0])
HiveAggregate(group=[{}], agg#0=[sum($7)])
HiveJoin(condition=[AND(=($6, $0), OR(AND($1, $9), AND($2, $10), AND($3, $11)))], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(ca_address_sk=[$0], EXPR$0=[IN($8, _UTF-16LE'GA', _UTF-16LE'KY', _UTF-16LE'NM')], EXPR$1=[IN($8, _UTF-16LE'IN', _UTF-16LE'MT', _UTF-16LE'OR')], EXPR$2=[IN($8, _UTF-16LE'MO', _UTF-16LE'WI', _UTF-16LE'WV')])
- HiveFilter(condition=[AND(IN($8, _UTF-16LE'GA', _UTF-16LE'IN', _UTF-16LE'KY', _UTF-16LE'MO', _UTF-16LE'MT', _UTF-16LE'NM', _UTF-16LE'OR', _UTF-16LE'WI', _UTF-16LE'WV'), =($10, _UTF-16LE'United States'))])
+ HiveProject(ca_address_sk=[$0], EXPR$0=[IN($8, 'GA', 'KY', 'NM')], EXPR$1=[IN($8, 'IN', 'MT', 'OR')], EXPR$2=[IN($8, 'MO', 'WI', 'WV')])
+ HiveFilter(condition=[AND(IN($8, 'GA', 'IN', 'KY', 'MO', 'MT', 'NM', 'OR', 'WI', 'WV'), =($10, 'United States'))])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveJoin(condition=[=($0, $1)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(cd_demo_sk=[$0])
- HiveFilter(condition=[AND(=($2, _UTF-16LE'M'), =($3, _UTF-16LE'4 yr Degree '))])
+ HiveFilter(condition=[AND(=($2, 'M'), =($3, '4 yr Degree '))])
HiveTableScan(table=[[default, customer_demographics]], table:alias=[customer_demographics])
HiveJoin(condition=[=($3, $7)], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(ss_cdemo_sk=[$3], ss_addr_sk=[$5], ss_quantity=[$9], ss_sold_date_sk=[$22], EXPR$0=[BETWEEN(false, $21, 0:DECIMAL(12, 2), 2000:DECIMAL(12, 2))], EXPR$1=[BETWEEN(false, $21, 150:DECIMAL(12, 2), 3000:DECIMAL(12, 2))], EXPR$2=[BETWEEN(false, $21, 50:DECIMAL(12, 2), 25000:DECIMAL(12, 2))])
+ HiveProject(ss_cdemo_sk=[$3], ss_addr_sk=[$5], ss_quantity=[$9], ss_sold_date_sk=[$22], EXPR$0=[BETWEEN(false, $21, 0.00:DECIMAL(12, 2), 2000.00:DECIMAL(12, 2))], EXPR$1=[BETWEEN(false, $21, 150.00:DECIMAL(12, 2), 3000.00:DECIMAL(12, 2))], EXPR$2=[BETWEEN(false, $21, 50.00:DECIMAL(12, 2), 25000.00:DECIMAL(12, 2))])
HiveFilter(condition=[AND(BETWEEN(false, $12, 50:DECIMAL(3, 0), 200:DECIMAL(3, 0)), IS NOT NULL($21), IS NOT NULL($3), IS NOT NULL($5), IS NOT NULL($6), IS NOT NULL($22))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
HiveProject(d_date_sk=[$0])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query49.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query49.q.out
index ea3554b05100..11db280ed8a0 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query49.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query49.q.out
@@ -8,12 +8,12 @@ HiveSortLimit(sort0=[$0], sort1=[$3], sort2=[$4], dir0=[ASC], dir1=[ASC], dir2=[
HiveAggregate(group=[{0, 1, 2, 3, 4}])
HiveProject(channel=[$0], item=[$1], return_ratio=[$2], return_rank=[$3], currency_rank=[$4])
HiveUnion(all=[true])
- HiveProject(channel=[_UTF-16LE'web':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], item=[$0], return_ratio=[$1], return_rank=[$2], currency_rank=[$3])
+ HiveProject(channel=['web':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], item=[$0], return_ratio=[$1], return_rank=[$2], currency_rank=[$3])
HiveFilter(condition=[OR(<=($2, 10), <=($3, 10))])
HiveProject(item=[$0], return_ratio=[/(CAST($1):DECIMAL(15, 4), CAST($2):DECIMAL(15, 4))], rank_window_0=[rank() OVER (PARTITION BY 0 ORDER BY /(CAST($1):DECIMAL(15, 4), CAST($2):DECIMAL(15, 4)) NULLS LAST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], rank_window_1=[rank() OVER (PARTITION BY 0 ORDER BY /(CAST($3):DECIMAL(15, 4), CAST($4):DECIMAL(15, 4)) NULLS LAST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)])
HiveProject($f0=[$0], $f1=[$1], $f2=[$2], $f3=[$3], $f4=[$4])
HiveAggregate(group=[{0}], agg#0=[sum($1)], agg#1=[sum($2)], agg#2=[sum($3)], agg#3=[sum($4)])
- HiveProject($f0=[$4], $f1=[CASE(IS NOT NULL($2), $2, 0)], $f2=[CASE(IS NOT NULL($6), $6, 0)], $f3=[CASE(IS NOT NULL($3), $3, 0:DECIMAL(12, 2))], $f4=[CASE(IS NOT NULL($7), $7, 0:DECIMAL(12, 2))])
+ HiveProject($f0=[$4], $f1=[CASE(IS NOT NULL($2), $2, 0)], $f2=[CASE(IS NOT NULL($6), $6, 0)], $f3=[CASE(IS NOT NULL($3), $3, 0.00:DECIMAL(12, 2))], $f4=[CASE(IS NOT NULL($7), $7, 0.00:DECIMAL(12, 2))])
HiveJoin(condition=[AND(=($4, $0), =($5, $1))], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(wr_item_sk=[$1], wr_order_number=[$12], wr_return_quantity=[$13], wr_return_amt=[$14])
HiveFilter(condition=[>($14, 10000:DECIMAL(5, 0))])
@@ -25,12 +25,12 @@ HiveSortLimit(sort0=[$0], sort1=[$3], sort2=[$4], dir0=[ASC], dir1=[ASC], dir2=[
HiveProject(d_date_sk=[$0])
HiveFilter(condition=[AND(=($6, 2000), =($8, 12))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
- HiveProject(channel=[_UTF-16LE'catalog':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], item=[$0], return_ratio=[$1], return_rank=[$2], currency_rank=[$3])
+ HiveProject(channel=['catalog':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], item=[$0], return_ratio=[$1], return_rank=[$2], currency_rank=[$3])
HiveFilter(condition=[OR(<=($2, 10), <=($3, 10))])
HiveProject(item=[$0], return_ratio=[/(CAST($1):DECIMAL(15, 4), CAST($2):DECIMAL(15, 4))], rank_window_0=[rank() OVER (PARTITION BY 0 ORDER BY /(CAST($1):DECIMAL(15, 4), CAST($2):DECIMAL(15, 4)) NULLS LAST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], rank_window_1=[rank() OVER (PARTITION BY 0 ORDER BY /(CAST($3):DECIMAL(15, 4), CAST($4):DECIMAL(15, 4)) NULLS LAST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)])
HiveProject($f0=[$0], $f1=[$1], $f2=[$2], $f3=[$3], $f4=[$4])
HiveAggregate(group=[{0}], agg#0=[sum($1)], agg#1=[sum($2)], agg#2=[sum($3)], agg#3=[sum($4)])
- HiveProject($f0=[$4], $f1=[CASE(IS NOT NULL($2), $2, 0)], $f2=[CASE(IS NOT NULL($6), $6, 0)], $f3=[CASE(IS NOT NULL($3), $3, 0:DECIMAL(12, 2))], $f4=[CASE(IS NOT NULL($7), $7, 0:DECIMAL(12, 2))])
+ HiveProject($f0=[$4], $f1=[CASE(IS NOT NULL($2), $2, 0)], $f2=[CASE(IS NOT NULL($6), $6, 0)], $f3=[CASE(IS NOT NULL($3), $3, 0.00:DECIMAL(12, 2))], $f4=[CASE(IS NOT NULL($7), $7, 0.00:DECIMAL(12, 2))])
HiveJoin(condition=[AND(=($4, $0), =($5, $1))], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(cr_item_sk=[$1], cr_order_number=[$15], cr_return_quantity=[$16], cr_return_amount=[$17])
HiveFilter(condition=[>($17, 10000:DECIMAL(5, 0))])
@@ -42,12 +42,12 @@ HiveSortLimit(sort0=[$0], sort1=[$3], sort2=[$4], dir0=[ASC], dir1=[ASC], dir2=[
HiveProject(d_date_sk=[$0])
HiveFilter(condition=[AND(=($6, 2000), =($8, 12))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
- HiveProject(channel=[_UTF-16LE'store':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], item=[$0], return_ratio=[$1], return_rank=[$2], currency_rank=[$3])
+ HiveProject(channel=['store':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], item=[$0], return_ratio=[$1], return_rank=[$2], currency_rank=[$3])
HiveFilter(condition=[OR(<=($2, 10), <=($3, 10))])
HiveProject(item=[$0], return_ratio=[/(CAST($1):DECIMAL(15, 4), CAST($2):DECIMAL(15, 4))], rank_window_0=[rank() OVER (PARTITION BY 0 ORDER BY /(CAST($1):DECIMAL(15, 4), CAST($2):DECIMAL(15, 4)) NULLS LAST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)], rank_window_1=[rank() OVER (PARTITION BY 0 ORDER BY /(CAST($3):DECIMAL(15, 4), CAST($4):DECIMAL(15, 4)) NULLS LAST RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)])
HiveProject($f0=[$0], $f1=[$1], $f2=[$2], $f3=[$3], $f4=[$4])
HiveAggregate(group=[{0}], agg#0=[sum($1)], agg#1=[sum($2)], agg#2=[sum($3)], agg#3=[sum($4)])
- HiveProject($f0=[$4], $f1=[CASE(IS NOT NULL($2), $2, 0)], $f2=[CASE(IS NOT NULL($6), $6, 0)], $f3=[CASE(IS NOT NULL($3), $3, 0:DECIMAL(12, 2))], $f4=[CASE(IS NOT NULL($7), $7, 0:DECIMAL(12, 2))])
+ HiveProject($f0=[$4], $f1=[CASE(IS NOT NULL($2), $2, 0)], $f2=[CASE(IS NOT NULL($6), $6, 0)], $f3=[CASE(IS NOT NULL($3), $3, 0.00:DECIMAL(12, 2))], $f4=[CASE(IS NOT NULL($7), $7, 0.00:DECIMAL(12, 2))])
HiveJoin(condition=[AND(=($4, $0), =($5, $1))], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(sr_item_sk=[$1], sr_ticket_number=[$8], sr_return_quantity=[$9], sr_return_amt=[$10])
HiveFilter(condition=[>($10, 10000:DECIMAL(5, 0))])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query5.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query5.q.out
index 647a8170af6d..4e4df16b9d55 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query5.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query5.q.out
@@ -4,16 +4,16 @@ HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveAggregate(group=[{0, 1}], groups=[[{0, 1}, {0}, {}]], agg#0=[sum($2)], agg#1=[sum($3)], agg#2=[sum($4)])
HiveProject(channel=[$0], id=[$1], sales=[$2], returns=[$3], profit=[$4])
HiveUnion(all=[true])
- HiveProject(channel=[_UTF-16LE'store channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[||(_UTF-16LE'store':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0)], sales=[$1], returns=[$3], profit=[-($2, $4)])
+ HiveProject(channel=['store channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[||('store':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0)], sales=[$1], returns=[$3], profit=[-($2, $4)])
HiveAggregate(group=[{8}], agg#0=[sum($2)], agg#1=[sum($3)], agg#2=[sum($4)], agg#3=[sum($5)])
HiveJoin(condition=[=($0, $7)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($1, $6)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(store_sk=[$0], date_sk=[$1], sales_price=[$2], profit=[$3], return_amt=[$4], net_loss=[$5])
HiveUnion(all=[true])
- HiveProject(store_sk=[$6], date_sk=[$22], sales_price=[$14], profit=[$21], return_amt=[CAST(0:DECIMAL(7, 2)):DECIMAL(7, 2)], net_loss=[CAST(0:DECIMAL(7, 2)):DECIMAL(7, 2)])
+ HiveProject(store_sk=[$6], date_sk=[$22], sales_price=[$14], profit=[$21], return_amt=[CAST(0.00:DECIMAL(7, 2)):DECIMAL(7, 2)], net_loss=[CAST(0.00:DECIMAL(7, 2)):DECIMAL(7, 2)])
HiveFilter(condition=[AND(IS NOT NULL($6), IS NOT NULL($22))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
- HiveProject(store_sk=[$6], date_sk=[$19], sales_price=[CAST(0:DECIMAL(7, 2)):DECIMAL(7, 2)], profit=[CAST(0:DECIMAL(7, 2)):DECIMAL(7, 2)], return_amt=[$10], net_loss=[$18])
+ HiveProject(store_sk=[$6], date_sk=[$19], sales_price=[CAST(0.00:DECIMAL(7, 2)):DECIMAL(7, 2)], profit=[CAST(0.00:DECIMAL(7, 2)):DECIMAL(7, 2)], return_amt=[$10], net_loss=[$18])
HiveFilter(condition=[AND(IS NOT NULL($6), IS NOT NULL($19))])
HiveTableScan(table=[[default, store_returns]], table:alias=[store_returns])
HiveProject(d_date_sk=[$0])
@@ -21,16 +21,16 @@ HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(s_store_sk=[$0], s_store_id=[$1])
HiveTableScan(table=[[default, store]], table:alias=[store])
- HiveProject(channel=[_UTF-16LE'catalog channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[||(_UTF-16LE'catalog_page':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0)], sales=[$1], returns=[$3], profit=[-($2, $4)])
+ HiveProject(channel=['catalog channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[||('catalog_page':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0)], sales=[$1], returns=[$3], profit=[-($2, $4)])
HiveAggregate(group=[{8}], agg#0=[sum($2)], agg#1=[sum($3)], agg#2=[sum($4)], agg#3=[sum($5)])
HiveJoin(condition=[=($0, $7)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($1, $6)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(page_sk=[$0], date_sk=[$1], sales_price=[$2], profit=[$3], return_amt=[$4], net_loss=[$5])
HiveUnion(all=[true])
- HiveProject(page_sk=[$11], date_sk=[$33], sales_price=[$22], profit=[$32], return_amt=[CAST(0:DECIMAL(7, 2)):DECIMAL(7, 2)], net_loss=[CAST(0:DECIMAL(7, 2)):DECIMAL(7, 2)])
+ HiveProject(page_sk=[$11], date_sk=[$33], sales_price=[$22], profit=[$32], return_amt=[CAST(0.00:DECIMAL(7, 2)):DECIMAL(7, 2)], net_loss=[CAST(0.00:DECIMAL(7, 2)):DECIMAL(7, 2)])
HiveFilter(condition=[AND(IS NOT NULL($11), IS NOT NULL($33))])
HiveTableScan(table=[[default, catalog_sales]], table:alias=[catalog_sales])
- HiveProject(page_sk=[$11], date_sk=[$26], sales_price=[CAST(0:DECIMAL(7, 2)):DECIMAL(7, 2)], profit=[CAST(0:DECIMAL(7, 2)):DECIMAL(7, 2)], return_amt=[$17], net_loss=[$25])
+ HiveProject(page_sk=[$11], date_sk=[$26], sales_price=[CAST(0.00:DECIMAL(7, 2)):DECIMAL(7, 2)], profit=[CAST(0.00:DECIMAL(7, 2)):DECIMAL(7, 2)], return_amt=[$17], net_loss=[$25])
HiveFilter(condition=[AND(IS NOT NULL($11), IS NOT NULL($26))])
HiveTableScan(table=[[default, catalog_returns]], table:alias=[catalog_returns])
HiveProject(d_date_sk=[$0])
@@ -38,16 +38,16 @@ HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(cp_catalog_page_sk=[$0], cp_catalog_page_id=[$1])
HiveTableScan(table=[[default, catalog_page]], table:alias=[catalog_page])
- HiveProject(channel=[_UTF-16LE'web channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[||(_UTF-16LE'web_site':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0)], sales=[$1], returns=[$3], profit=[-($2, $4)])
+ HiveProject(channel=['web channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[||('web_site':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0)], sales=[$1], returns=[$3], profit=[-($2, $4)])
HiveAggregate(group=[{8}], agg#0=[sum($2)], agg#1=[sum($3)], agg#2=[sum($4)], agg#3=[sum($5)])
HiveJoin(condition=[=($0, $7)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($1, $6)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(wsr_web_site_sk=[$0], date_sk=[$1], sales_price=[$2], profit=[$3], return_amt=[$4], net_loss=[$5])
HiveUnion(all=[true])
- HiveProject(wsr_web_site_sk=[$12], date_sk=[$33], sales_price=[$22], profit=[$32], return_amt=[CAST(0:DECIMAL(7, 2)):DECIMAL(7, 2)], net_loss=[CAST(0:DECIMAL(7, 2)):DECIMAL(7, 2)])
+ HiveProject(wsr_web_site_sk=[$12], date_sk=[$33], sales_price=[$22], profit=[$32], return_amt=[CAST(0.00:DECIMAL(7, 2)):DECIMAL(7, 2)], net_loss=[CAST(0.00:DECIMAL(7, 2)):DECIMAL(7, 2)])
HiveFilter(condition=[AND(IS NOT NULL($12), IS NOT NULL($33))])
HiveTableScan(table=[[default, web_sales]], table:alias=[web_sales])
- HiveProject(ws_web_site_sk=[$1], wr_returned_date_sk=[$7], $f2=[CAST(0:DECIMAL(7, 2)):DECIMAL(7, 2)], $f3=[CAST(0:DECIMAL(7, 2)):DECIMAL(7, 2)], wr_return_amt=[$5], wr_net_loss=[$6])
+ HiveProject(ws_web_site_sk=[$1], wr_returned_date_sk=[$7], $f2=[CAST(0.00:DECIMAL(7, 2)):DECIMAL(7, 2)], $f3=[CAST(0.00:DECIMAL(7, 2)):DECIMAL(7, 2)], wr_return_amt=[$5], wr_net_loss=[$6])
HiveJoin(condition=[AND(=($3, $0), =($4, $2))], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(ws_item_sk=[$2], ws_web_site_sk=[$12], ws_order_number=[$16])
HiveFilter(condition=[IS NOT NULL($12)])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query53.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query53.q.out
index d05b53e81ec5..8304296338ad 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query53.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query53.q.out
@@ -11,7 +11,7 @@ HiveSortLimit(sort0=[$2], sort1=[$1], sort2=[$0], dir0=[ASC], dir1=[ASC], dir2=[
HiveFilter(condition=[AND(IS NOT NULL($6), IS NOT NULL($22))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
HiveProject(i_item_sk=[$0], i_manufact_id=[$13])
- HiveFilter(condition=[AND(IN($10, _UTF-16LE'accessories', _UTF-16LE'classical', _UTF-16LE'fragrances', _UTF-16LE'pants', _UTF-16LE'personal', _UTF-16LE'portable', _UTF-16LE'reference', _UTF-16LE'self-help'), IN($12, _UTF-16LE'Books', _UTF-16LE'Children', _UTF-16LE'Electronics', _UTF-16LE'Men', _UTF-16LE'Music', _UTF-16LE'Women'), IN($8, _UTF-16LE'amalgimporto #1', _UTF-16LE'edu packscholar #1', _UTF-16LE'exportiimporto #1', _UTF-16LE'exportiunivamalg #9', _UTF-16LE'importoamalg #1', _UTF-16LE'scholaramalgamalg #14', _UTF-16LE'scholaramalgamalg #7', _UTF-16LE'scholaramalgamalg #9'), OR(AND(IN($12, _UTF-16LE'Books', _UTF-16LE'Children', _UTF-16LE'Electronics'), IN($10, _UTF-16LE'personal', _UTF-16LE'portable', _UTF-16LE'reference', _UTF-16LE'self-help'), IN($8, _UTF-16LE'exportiunivamalg #9', _UTF-16LE'scholaramalgamalg #14', _UTF-16LE'scholaramalgamalg #7', _UTF-16LE'scholaramalgamalg #9')), AND(IN($12, _UTF-16LE'Men', _UTF-16LE'Music', _UTF-16LE'Women'), IN($10, _UTF-16LE'accessories', _UTF-16LE'classical', _UTF-16LE'fragrances', _UTF-16LE'pants'), IN($8, _UTF-16LE'amalgimporto #1', _UTF-16LE'edu packscholar #1', _UTF-16LE'exportiimporto #1', _UTF-16LE'importoamalg #1'))))])
+ HiveFilter(condition=[AND(IN($8, 'amalgimporto #1 ', 'edu packscholar #1 ', 'exportiimporto #1 ', 'exportiunivamalg #9 ', 'importoamalg #1 ', 'scholaramalgamalg #14 ', 'scholaramalgamalg #7 ', 'scholaramalgamalg #9 '), IN($10, 'accessories ', 'classical ', 'fragrances ', 'pants ', 'personal ', 'portable ', 'reference ', 'self-help '), IN($12, 'Books ', 'Children ', 'Electronics ', 'Men ', 'Music ', 'Women '), OR(AND(IN($12, 'Books ', 'Children ', 'Electronics '), IN($10, 'personal ', 'portable ', 'reference ', 'self-help '), IN($8, 'exportiunivamalg #9 ', 'scholaramalgamalg #14 ', 'scholaramalgamalg #7 ', 'scholaramalgamalg #9 ')), AND(IN($12, 'Men ', 'Music ', 'Women '), IN($10, 'accessories ', 'classical ', 'fragrances ', 'pants '), IN($8, 'amalgimporto #1 ', 'edu packscholar #1 ', 'exportiimporto #1 ', 'importoamalg #1 '))))])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(d_date_sk=[$0], d_qoy=[$10])
HiveFilter(condition=[IN($3, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223)])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query54.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query54.q.out
index 1feeb5e1d87c..8c51e64a2382 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query54.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query54.q.out
@@ -62,7 +62,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveFilter(condition=[AND(=($6, 1999), =($8, 3))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(i_item_sk=[$0])
- HiveFilter(condition=[AND(=($10, _UTF-16LE'consignment '), =($12, _UTF-16LE'Jewelry '))])
+ HiveFilter(condition=[AND(=($10, 'consignment '), =($12, 'Jewelry '))])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(d_date_sk=[$0], d_month_seq=[$1], $f0=[$2], $f00=[$3])
HiveJoin(condition=[<=($1, $3)], joinType=[inner], algorithm=[none], cost=[not available])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query56.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query56.q.out
index 7716e8ff912d..5229cd83a611 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query56.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query56.q.out
@@ -16,13 +16,13 @@ HiveSortLimit(sort0=[$1], dir0=[ASC], fetch=[100])
HiveProject(d_date_sk=[$0], d_year=[CAST(2000):INTEGER], d_moy=[CAST(1):INTEGER])
HiveFilter(condition=[AND(=($6, 2000), =($8, 1))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
- HiveProject(ca_address_sk=[$0], ca_gmt_offset=[CAST(-8:DECIMAL(5, 2)):DECIMAL(5, 2)])
+ HiveProject(ca_address_sk=[$0], ca_gmt_offset=[CAST(-8.00:DECIMAL(5, 2)):DECIMAL(5, 2)])
HiveFilter(condition=[=($11, -8:DECIMAL(1, 0))])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveProject(i_item_sk=[$0], i_item_id=[$1])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(i_item_id=[$1])
- HiveFilter(condition=[IN($17, _UTF-16LE'chiffon', _UTF-16LE'lace', _UTF-16LE'orchid')])
+ HiveFilter(condition=[IN($17, 'chiffon ', 'lace ', 'orchid ')])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(i_item_id=[$0], $f1=[$1])
HiveAggregate(group=[{10}], agg#0=[sum($2)])
@@ -36,13 +36,13 @@ HiveSortLimit(sort0=[$1], dir0=[ASC], fetch=[100])
HiveProject(d_date_sk=[$0], d_year=[CAST(2000):INTEGER], d_moy=[CAST(1):INTEGER])
HiveFilter(condition=[AND(=($6, 2000), =($8, 1))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
- HiveProject(ca_address_sk=[$0], ca_gmt_offset=[CAST(-8:DECIMAL(5, 2)):DECIMAL(5, 2)])
+ HiveProject(ca_address_sk=[$0], ca_gmt_offset=[CAST(-8.00:DECIMAL(5, 2)):DECIMAL(5, 2)])
HiveFilter(condition=[=($11, -8:DECIMAL(1, 0))])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveProject(i_item_sk=[$0], i_item_id=[$1])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(i_item_id=[$1])
- HiveFilter(condition=[IN($17, _UTF-16LE'chiffon', _UTF-16LE'lace', _UTF-16LE'orchid')])
+ HiveFilter(condition=[IN($17, 'chiffon ', 'lace ', 'orchid ')])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(i_item_id=[$0], $f1=[$1])
HiveAggregate(group=[{10}], agg#0=[sum($2)])
@@ -56,12 +56,12 @@ HiveSortLimit(sort0=[$1], dir0=[ASC], fetch=[100])
HiveProject(d_date_sk=[$0], d_year=[CAST(2000):INTEGER], d_moy=[CAST(1):INTEGER])
HiveFilter(condition=[AND(=($6, 2000), =($8, 1))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
- HiveProject(ca_address_sk=[$0], ca_gmt_offset=[CAST(-8:DECIMAL(5, 2)):DECIMAL(5, 2)])
+ HiveProject(ca_address_sk=[$0], ca_gmt_offset=[CAST(-8.00:DECIMAL(5, 2)):DECIMAL(5, 2)])
HiveFilter(condition=[=($11, -8:DECIMAL(1, 0))])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveProject(i_item_sk=[$0], i_item_id=[$1])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(i_item_id=[$1])
- HiveFilter(condition=[IN($17, _UTF-16LE'chiffon', _UTF-16LE'lace', _UTF-16LE'orchid')])
+ HiveFilter(condition=[IN($17, 'chiffon ', 'lace ', 'orchid ')])
HiveTableScan(table=[[default, item]], table:alias=[item])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query59.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query59.q.out
index 72e4f3621913..52d259a0554f 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query59.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query59.q.out
@@ -17,7 +17,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[ASC], dir1=[ASC], dir2=[
HiveProject(ss_store_sk=[$6], ss_sales_price=[$12], ss_sold_date_sk=[$22])
HiveFilter(condition=[AND(IS NOT NULL($6), IS NOT NULL($22))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
- HiveProject(d_date_sk=[$0], d_week_seq=[$4], EXPR$0=[=($14, _UTF-16LE'Sunday ')], EXPR$1=[=($14, _UTF-16LE'Monday ')], EXPR$2=[=($14, _UTF-16LE'Tuesday ')], EXPR$3=[=($14, _UTF-16LE'Wednesday')], EXPR$4=[=($14, _UTF-16LE'Thursday ')], EXPR$5=[=($14, _UTF-16LE'Friday ')], EXPR$6=[=($14, _UTF-16LE'Saturday ')])
+ HiveProject(d_date_sk=[$0], d_week_seq=[$4], EXPR$0=[=($14, 'Sunday ')], EXPR$1=[=($14, 'Monday ')], EXPR$2=[=($14, 'Tuesday ')], EXPR$3=[=($14, 'Wednesday')], EXPR$4=[=($14, 'Thursday ')], EXPR$5=[=($14, 'Friday ')], EXPR$6=[=($14, 'Saturday ')])
HiveFilter(condition=[IS NOT NULL($4)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(d_week_seq=[$4])
@@ -32,7 +32,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[ASC], dir1=[ASC], dir2=[
HiveProject(ss_store_sk=[$6], ss_sales_price=[$12], ss_sold_date_sk=[$22])
HiveFilter(condition=[AND(IS NOT NULL($6), IS NOT NULL($22))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
- HiveProject(d_date_sk=[$0], d_week_seq=[$4], EXPR$0=[=($14, _UTF-16LE'Sunday ')], EXPR$1=[=($14, _UTF-16LE'Monday ')], EXPR$2=[=($14, _UTF-16LE'Tuesday ')], EXPR$3=[=($14, _UTF-16LE'Wednesday')], EXPR$4=[=($14, _UTF-16LE'Thursday ')], EXPR$5=[=($14, _UTF-16LE'Friday ')], EXPR$6=[=($14, _UTF-16LE'Saturday ')])
+ HiveProject(d_date_sk=[$0], d_week_seq=[$4], EXPR$0=[=($14, 'Sunday ')], EXPR$1=[=($14, 'Monday ')], EXPR$2=[=($14, 'Tuesday ')], EXPR$3=[=($14, 'Wednesday')], EXPR$4=[=($14, 'Thursday ')], EXPR$5=[=($14, 'Friday ')], EXPR$6=[=($14, 'Saturday ')])
HiveFilter(condition=[IS NOT NULL($4)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(d_week_seq=[$4])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query6.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query6.q.out
index af759b9b3d0b..59481495f602 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query6.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query6.q.out
@@ -31,7 +31,7 @@ HiveSortLimit(sort0=[$1], dir0=[ASC], fetch=[100])
HiveFilter(condition=[AND(IS NOT NULL($5), IS NOT NULL($12))])
HiveTableScan(table=[[default, item]], table:alias=[i])
HiveProject(i_category=[$0], EXPR$0=[*(1.2:DECIMAL(2, 1), CAST(CAST(/($1, $2)):DECIMAL(11, 6)):DECIMAL(16, 6))])
- HiveFilter(condition=[IS NOT NULL(CAST(CAST(/($1, $2)):DECIMAL(11, 6)):DECIMAL(16, 6))])
+ HiveFilter(condition=[IS NOT NULL(CAST(/($1, $2)):DECIMAL(11, 6))])
HiveAggregate(group=[{12}], agg#0=[sum($5)], agg#1=[count($5)])
HiveFilter(condition=[IS NOT NULL($12)])
HiveTableScan(table=[[default, item]], table:alias=[j])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query60.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query60.q.out
index 084d28c52fae..459ada9b3747 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query60.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query60.q.out
@@ -16,13 +16,13 @@ HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveProject(d_date_sk=[$0], d_year=[CAST(1999):INTEGER], d_moy=[CAST(9):INTEGER])
HiveFilter(condition=[AND(=($6, 1999), =($8, 9))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
- HiveProject(ca_address_sk=[$0], ca_gmt_offset=[CAST(-6:DECIMAL(5, 2)):DECIMAL(5, 2)])
+ HiveProject(ca_address_sk=[$0], ca_gmt_offset=[CAST(-6.00:DECIMAL(5, 2)):DECIMAL(5, 2)])
HiveFilter(condition=[=($11, -6:DECIMAL(1, 0))])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveProject(i_item_sk=[$0], i_item_id=[$1])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(i_item_id=[$1])
- HiveFilter(condition=[=($12, _UTF-16LE'Children ')])
+ HiveFilter(condition=[=($12, 'Children ')])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(i_item_id=[$0], $f1=[$1])
HiveAggregate(group=[{10}], agg#0=[sum($2)])
@@ -36,13 +36,13 @@ HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveProject(d_date_sk=[$0], d_year=[CAST(1999):INTEGER], d_moy=[CAST(9):INTEGER])
HiveFilter(condition=[AND(=($6, 1999), =($8, 9))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
- HiveProject(ca_address_sk=[$0], ca_gmt_offset=[CAST(-6:DECIMAL(5, 2)):DECIMAL(5, 2)])
+ HiveProject(ca_address_sk=[$0], ca_gmt_offset=[CAST(-6.00:DECIMAL(5, 2)):DECIMAL(5, 2)])
HiveFilter(condition=[=($11, -6:DECIMAL(1, 0))])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveProject(i_item_sk=[$0], i_item_id=[$1])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(i_item_id=[$1])
- HiveFilter(condition=[=($12, _UTF-16LE'Children ')])
+ HiveFilter(condition=[=($12, 'Children ')])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(i_item_id=[$0], $f1=[$1])
HiveAggregate(group=[{10}], agg#0=[sum($2)])
@@ -56,12 +56,12 @@ HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveProject(d_date_sk=[$0], d_year=[CAST(1999):INTEGER], d_moy=[CAST(9):INTEGER])
HiveFilter(condition=[AND(=($6, 1999), =($8, 9))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
- HiveProject(ca_address_sk=[$0], ca_gmt_offset=[CAST(-6:DECIMAL(5, 2)):DECIMAL(5, 2)])
+ HiveProject(ca_address_sk=[$0], ca_gmt_offset=[CAST(-6.00:DECIMAL(5, 2)):DECIMAL(5, 2)])
HiveFilter(condition=[=($11, -6:DECIMAL(1, 0))])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveProject(i_item_sk=[$0], i_item_id=[$1])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(i_item_id=[$1])
- HiveFilter(condition=[=($12, _UTF-16LE'Children ')])
+ HiveFilter(condition=[=($12, 'Children ')])
HiveTableScan(table=[[default, item]], table:alias=[item])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query61.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query61.q.out
index 529274360fee..4a711c45572e 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query61.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query61.q.out
@@ -24,13 +24,13 @@ HiveProject(promotions=[$0], total=[$1], _c2=[*(/(CAST($0):DECIMAL(15, 4), CAST(
HiveFilter(condition=[AND(=($6, 1999), =($8, 11))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(i_item_sk=[$0])
- HiveFilter(condition=[=($12, _UTF-16LE'Electronics ')])
+ HiveFilter(condition=[=($12, 'Electronics ')])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(s_store_sk=[$0])
HiveFilter(condition=[=($27, -7:DECIMAL(1, 0))])
HiveTableScan(table=[[default, store]], table:alias=[store])
HiveProject(p_promo_sk=[$0])
- HiveFilter(condition=[OR(=($9, _UTF-16LE'Y'), =($11, _UTF-16LE'Y'), =($8, _UTF-16LE'Y'))])
+ HiveFilter(condition=[OR(=($9, 'Y'), =($11, 'Y'), =($8, 'Y'))])
HiveTableScan(table=[[default, promotion]], table:alias=[promotion])
HiveProject($f0=[$0])
HiveAggregate(group=[{}], agg#0=[sum($6)])
@@ -53,7 +53,7 @@ HiveProject(promotions=[$0], total=[$1], _c2=[*(/(CAST($0):DECIMAL(15, 4), CAST(
HiveFilter(condition=[AND(=($6, 1999), =($8, 11))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(i_item_sk=[$0])
- HiveFilter(condition=[=($12, _UTF-16LE'Electronics ')])
+ HiveFilter(condition=[=($12, 'Electronics ')])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(s_store_sk=[$0])
HiveFilter(condition=[=($27, -7:DECIMAL(1, 0))])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query63.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query63.q.out
index 01da209407ba..ac973817b26b 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query63.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query63.q.out
@@ -11,7 +11,7 @@ HiveSortLimit(sort0=[$0], sort1=[$2], sort2=[$1], dir0=[ASC], dir1=[ASC], dir2=[
HiveFilter(condition=[AND(IS NOT NULL($6), IS NOT NULL($22))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
HiveProject(i_item_sk=[$0], i_manager_id=[$20])
- HiveFilter(condition=[AND(IN($10, _UTF-16LE'accessories', _UTF-16LE'classical', _UTF-16LE'fragrances', _UTF-16LE'pants', _UTF-16LE'personal', _UTF-16LE'portable', _UTF-16LE'refernece', _UTF-16LE'self-help'), IN($12, _UTF-16LE'Books', _UTF-16LE'Children', _UTF-16LE'Electronics', _UTF-16LE'Men', _UTF-16LE'Music', _UTF-16LE'Women'), IN($8, _UTF-16LE'amalgimporto #1', _UTF-16LE'edu packscholar #1', _UTF-16LE'exportiimporto #1', _UTF-16LE'exportiunivamalg #9', _UTF-16LE'importoamalg #1', _UTF-16LE'scholaramalgamalg #14', _UTF-16LE'scholaramalgamalg #7', _UTF-16LE'scholaramalgamalg #9'), OR(AND(IN($12, _UTF-16LE'Books', _UTF-16LE'Children', _UTF-16LE'Electronics'), IN($10, _UTF-16LE'personal', _UTF-16LE'portable', _UTF-16LE'refernece', _UTF-16LE'self-help'), IN($8, _UTF-16LE'exportiunivamalg #9', _UTF-16LE'scholaramalgamalg #14', _UTF-16LE'scholaramalgamalg #7', _UTF-16LE'scholaramalgamalg #9')), AND(IN($12, _UTF-16LE'Men', _UTF-16LE'Music', _UTF-16LE'Women'), IN($10, _UTF-16LE'accessories', _UTF-16LE'classical', _UTF-16LE'fragrances', _UTF-16LE'pants'), IN($8, _UTF-16LE'amalgimporto #1', _UTF-16LE'edu packscholar #1', _UTF-16LE'exportiimporto #1', _UTF-16LE'importoamalg #1'))))])
+ HiveFilter(condition=[AND(IN($8, 'amalgimporto #1 ', 'edu packscholar #1 ', 'exportiimporto #1 ', 'exportiunivamalg #9 ', 'importoamalg #1 ', 'scholaramalgamalg #14 ', 'scholaramalgamalg #7 ', 'scholaramalgamalg #9 '), IN($10, 'accessories ', 'classical ', 'fragrances ', 'pants ', 'personal ', 'portable ', 'refernece ', 'self-help '), IN($12, 'Books ', 'Children ', 'Electronics ', 'Men ', 'Music ', 'Women '), OR(AND(IN($12, 'Books ', 'Children ', 'Electronics '), IN($10, 'personal ', 'portable ', 'refernece ', 'self-help '), IN($8, 'exportiunivamalg #9 ', 'scholaramalgamalg #14 ', 'scholaramalgamalg #7 ', 'scholaramalgamalg #9 ')), AND(IN($12, 'Men ', 'Music ', 'Women '), IN($10, 'accessories ', 'classical ', 'fragrances ', 'pants '), IN($8, 'amalgimporto #1 ', 'edu packscholar #1 ', 'exportiimporto #1 ', 'importoamalg #1 '))))])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(d_date_sk=[$0], d_moy=[$8])
HiveFilter(condition=[IN($3, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223)])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query64.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query64.q.out
index ec7570a533e4..ee9867c5b84f 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query64.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query64.q.out
@@ -32,7 +32,7 @@ HiveProject(cs1.product_name=[$0], cs1.store_name=[$1], cs1.store_zip=[$2], cs1.
HiveFilter(condition=[AND(IS NOT NULL($3), IS NOT NULL($5), IS NOT NULL($4), IS NOT NULL($2), IS NOT NULL($6), IS NOT NULL($7), IS NOT NULL($22))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
HiveProject(i_item_sk=[$0], i_product_name=[$21])
- HiveFilter(condition=[AND(BETWEEN(false, $5, 36:DECIMAL(12, 2), 45:DECIMAL(12, 2)), IN($17, _UTF-16LE'burnished', _UTF-16LE'chocolate', _UTF-16LE'dim', _UTF-16LE'maroon', _UTF-16LE'navajo', _UTF-16LE'steel'))])
+ HiveFilter(condition=[AND(BETWEEN(false, $5, 36.00:DECIMAL(12, 2), 45.00:DECIMAL(12, 2)), IN($17, 'burnished ', 'chocolate ', 'dim ', 'maroon ', 'navajo ', 'steel '))])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(d_date_sk=[$0])
HiveFilter(condition=[=($6, 2001)])
@@ -93,7 +93,7 @@ HiveProject(cs1.product_name=[$0], cs1.store_name=[$1], cs1.store_zip=[$2], cs1.
HiveFilter(condition=[AND(IS NOT NULL($3), IS NOT NULL($5), IS NOT NULL($4), IS NOT NULL($2), IS NOT NULL($6), IS NOT NULL($7), IS NOT NULL($22))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
HiveProject(i_item_sk=[$0], i_product_name=[$21])
- HiveFilter(condition=[AND(BETWEEN(false, $5, 36:DECIMAL(12, 2), 45:DECIMAL(12, 2)), IN($17, _UTF-16LE'burnished', _UTF-16LE'chocolate', _UTF-16LE'dim', _UTF-16LE'maroon', _UTF-16LE'navajo', _UTF-16LE'steel'))])
+ HiveFilter(condition=[AND(BETWEEN(false, $5, 36.00:DECIMAL(12, 2), 45.00:DECIMAL(12, 2)), IN($17, 'burnished ', 'chocolate ', 'dim ', 'maroon ', 'navajo ', 'steel '))])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(d_date_sk=[$0])
HiveFilter(condition=[=($6, 2000)])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query66.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query66.q.out
index 3bd067917966..afa5d74cbee6 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query66.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query66.q.out
@@ -1,5 +1,5 @@
CBO PLAN:
-HiveProject(w_warehouse_name=[$0], w_warehouse_sq_ft=[$1], w_city=[$2], w_county=[$3], w_state=[$4], w_country=[$5], ship_carriers=[CAST(_UTF-16LE'DIAMOND,AIRBORNE':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], year=[CAST(2002):INTEGER], jan_sales=[$6], feb_sales=[$7], mar_sales=[$8], apr_sales=[$9], may_sales=[$10], jun_sales=[$11], jul_sales=[$12], aug_sales=[$13], sep_sales=[$14], oct_sales=[$15], nov_sales=[$16], dec_sales=[$17], jan_sales_per_sq_foot=[$18], feb_sales_per_sq_foot=[$19], mar_sales_per_sq_foot=[$20], apr_sales_per_sq_foot=[$21], may_sales_per_sq_foot=[$22], jun_sales_per_sq_foot=[$23], jul_sales_per_sq_foot=[$24], aug_sales_per_sq_foot=[$25], sep_sales_per_sq_foot=[$26], oct_sales_per_sq_foot=[$27], nov_sales_per_sq_foot=[$28], dec_sales_per_sq_foot=[$29], jan_net=[$30], feb_net=[$31], mar_net=[$32], apr_net=[$33], may_net=[$34], jun_net=[$35], jul_net=[$36], aug_net=[$37], sep_net=[$38], oct_net=[$39], nov_net=[$40], dec_net=[$41])
+HiveProject(w_warehouse_name=[$0], w_warehouse_sq_ft=[$1], w_city=[$2], w_county=[$3], w_state=[$4], w_country=[$5], ship_carriers=[CAST('DIAMOND,AIRBORNE':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"):VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], year=[CAST(2002):INTEGER], jan_sales=[$6], feb_sales=[$7], mar_sales=[$8], apr_sales=[$9], may_sales=[$10], jun_sales=[$11], jul_sales=[$12], aug_sales=[$13], sep_sales=[$14], oct_sales=[$15], nov_sales=[$16], dec_sales=[$17], jan_sales_per_sq_foot=[$18], feb_sales_per_sq_foot=[$19], mar_sales_per_sq_foot=[$20], apr_sales_per_sq_foot=[$21], may_sales_per_sq_foot=[$22], jun_sales_per_sq_foot=[$23], jul_sales_per_sq_foot=[$24], aug_sales_per_sq_foot=[$25], sep_sales_per_sq_foot=[$26], oct_sales_per_sq_foot=[$27], nov_sales_per_sq_foot=[$28], dec_sales_per_sq_foot=[$29], jan_net=[$30], feb_net=[$31], mar_net=[$32], apr_net=[$33], may_net=[$34], jun_net=[$35], jul_net=[$36], aug_net=[$37], sep_net=[$38], oct_net=[$39], nov_net=[$40], dec_net=[$41])
HiveSortLimit(sort0=[$0], dir0=[ASC], fetch=[100])
HiveProject($f0=[$0], $f1=[$1], $f2=[$2], $f3=[$3], $f4=[$4], $f5=[$5], $f6=[$6], $f7=[$7], $f8=[$8], $f9=[$9], $f10=[$10], $f11=[$11], $f12=[$12], $f13=[$13], $f14=[$14], $f15=[$15], $f16=[$16], $f17=[$17], $f18=[$18], $f19=[$19], $f20=[$20], $f21=[$21], $f22=[$22], $f23=[$23], $f24=[$24], $f25=[$25], $f26=[$26], $f27=[$27], $f28=[$28], $f29=[$29], $f30=[$30], $f31=[$31], $f32=[$32], $f33=[$33], $f34=[$34], $f35=[$35], $f36=[$36], $f37=[$37], $f38=[$38], $f39=[$39], $f40=[$40], $f41=[$41])
HiveAggregate(group=[{0, 1, 2, 3, 4, 5}], agg#0=[sum($6)], agg#1=[sum($7)], agg#2=[sum($8)], agg#3=[sum($9)], agg#4=[sum($10)], agg#5=[sum($11)], agg#6=[sum($12)], agg#7=[sum($13)], agg#8=[sum($14)], agg#9=[sum($15)], agg#10=[sum($16)], agg#11=[sum($17)], agg#12=[sum($18)], agg#13=[sum($19)], agg#14=[sum($20)], agg#15=[sum($21)], agg#16=[sum($22)], agg#17=[sum($23)], agg#18=[sum($24)], agg#19=[sum($25)], agg#20=[sum($26)], agg#21=[sum($27)], agg#22=[sum($28)], agg#23=[sum($29)], agg#24=[sum($30)], agg#25=[sum($31)], agg#26=[sum($32)], agg#27=[sum($33)], agg#28=[sum($34)], agg#29=[sum($35)], agg#30=[sum($36)], agg#31=[sum($37)], agg#32=[sum($38)], agg#33=[sum($39)], agg#34=[sum($40)], agg#35=[sum($41)])
@@ -7,7 +7,7 @@ HiveProject(w_warehouse_name=[$0], w_warehouse_sq_ft=[$1], w_city=[$2], w_county
HiveUnion(all=[true])
HiveProject($f0=[$0], $f1=[$1], $f2=[$2], $f3=[$3], $f4=[$4], $f5=[$5], $f6=[$6], $f7=[$7], $f8=[$8], $f9=[$9], $f10=[$10], $f11=[$11], $f12=[$12], $f13=[$13], $f14=[$14], $f15=[$15], $f16=[$16], $f17=[$17], $f18=[$18], $f19=[$19], $f20=[$20], $f21=[$21], $f22=[$22], $f23=[$23], $f24=[$24], $f25=[$25], $f26=[$26], $f27=[$27], $f28=[$28], $f29=[$29])
HiveAggregate(group=[{0, 1, 2, 3, 4, 5}], agg#0=[sum($6)], agg#1=[sum($7)], agg#2=[sum($8)], agg#3=[sum($9)], agg#4=[sum($10)], agg#5=[sum($11)], agg#6=[sum($12)], agg#7=[sum($13)], agg#8=[sum($14)], agg#9=[sum($15)], agg#10=[sum($16)], agg#11=[sum($17)], agg#12=[sum($18)], agg#13=[sum($19)], agg#14=[sum($20)], agg#15=[sum($21)], agg#16=[sum($22)], agg#17=[sum($23)], agg#18=[sum($24)], agg#19=[sum($25)], agg#20=[sum($26)], agg#21=[sum($27)], agg#22=[sum($28)], agg#23=[sum($29)])
- HiveProject($f0=[$22], $f1=[$23], $f2=[$24], $f3=[$25], $f4=[$26], $f5=[$27], $f7=[CASE($8, $4, 0:DECIMAL(18, 2))], $f8=[CASE($9, $4, 0:DECIMAL(18, 2))], $f9=[CASE($10, $4, 0:DECIMAL(18, 2))], $f10=[CASE($11, $4, 0:DECIMAL(18, 2))], $f11=[CASE($12, $4, 0:DECIMAL(18, 2))], $f12=[CASE($13, $4, 0:DECIMAL(18, 2))], $f13=[CASE($14, $4, 0:DECIMAL(18, 2))], $f14=[CASE($15, $4, 0:DECIMAL(18, 2))], $f15=[CASE($16, $4, 0:DECIMAL(18, 2))], $f16=[CASE($17, $4, 0:DECIMAL(18, 2))], $f17=[CASE($18, $4, 0:DECIMAL(18, 2))], $f18=[CASE($19, $4, 0:DECIMAL(18, 2))], $f19=[CASE($8, $5, 0:DECIMAL(18, 2))], $f20=[CASE($9, $5, 0:DECIMAL(18, 2))], $f21=[CASE($10, $5, 0:DECIMAL(18, 2))], $f22=[CASE($11, $5, 0:DECIMAL(18, 2))], $f23=[CASE($12, $5, 0:DECIMAL(18, 2))], $f24=[CASE($13, $5, 0:DECIMAL(18, 2))], $f25=[CASE($14, $5, 0:DECIMAL(18, 2))], $f26=[CASE($15, $5, 0:DECIMAL(18, 2))], $f27=[CASE($16, $5, 0:DECIMAL(18, 2))], $f28=[CASE($17, $5, 0:DECIMAL(18, 2))], $f29=[CASE($18, $5, 0:DECIMAL(18, 2))], $f30=[CASE($19, $5, 0:DECIMAL(18, 2))])
+ HiveProject($f0=[$22], $f1=[$23], $f2=[$24], $f3=[$25], $f4=[$26], $f5=[$27], $f7=[CASE($8, $4, 0.00:DECIMAL(18, 2))], $f8=[CASE($9, $4, 0.00:DECIMAL(18, 2))], $f9=[CASE($10, $4, 0.00:DECIMAL(18, 2))], $f10=[CASE($11, $4, 0.00:DECIMAL(18, 2))], $f11=[CASE($12, $4, 0.00:DECIMAL(18, 2))], $f12=[CASE($13, $4, 0.00:DECIMAL(18, 2))], $f13=[CASE($14, $4, 0.00:DECIMAL(18, 2))], $f14=[CASE($15, $4, 0.00:DECIMAL(18, 2))], $f15=[CASE($16, $4, 0.00:DECIMAL(18, 2))], $f16=[CASE($17, $4, 0.00:DECIMAL(18, 2))], $f17=[CASE($18, $4, 0.00:DECIMAL(18, 2))], $f18=[CASE($19, $4, 0.00:DECIMAL(18, 2))], $f19=[CASE($8, $5, 0.00:DECIMAL(18, 2))], $f20=[CASE($9, $5, 0.00:DECIMAL(18, 2))], $f21=[CASE($10, $5, 0.00:DECIMAL(18, 2))], $f22=[CASE($11, $5, 0.00:DECIMAL(18, 2))], $f23=[CASE($12, $5, 0.00:DECIMAL(18, 2))], $f24=[CASE($13, $5, 0.00:DECIMAL(18, 2))], $f25=[CASE($14, $5, 0.00:DECIMAL(18, 2))], $f26=[CASE($15, $5, 0.00:DECIMAL(18, 2))], $f27=[CASE($16, $5, 0.00:DECIMAL(18, 2))], $f28=[CASE($17, $5, 0.00:DECIMAL(18, 2))], $f29=[CASE($18, $5, 0.00:DECIMAL(18, 2))], $f30=[CASE($19, $5, 0.00:DECIMAL(18, 2))])
HiveJoin(condition=[=($2, $21)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($1, $20)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($3, $7)], joinType=[inner], algorithm=[none], cost=[not available])
@@ -22,13 +22,13 @@ HiveProject(w_warehouse_name=[$0], w_warehouse_sq_ft=[$1], w_city=[$2], w_county
HiveFilter(condition=[=($6, 2002)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(sm_ship_mode_sk=[$0])
- HiveFilter(condition=[IN($4, _UTF-16LE'AIRBORNE', _UTF-16LE'DIAMOND')])
+ HiveFilter(condition=[IN($4, 'AIRBORNE ', 'DIAMOND ')])
HiveTableScan(table=[[default, ship_mode]], table:alias=[ship_mode])
HiveProject(w_warehouse_sk=[$0], w_warehouse_name=[$2], w_warehouse_sq_ft=[$3], w_city=[$8], w_county=[$9], w_state=[$10], w_country=[$12])
HiveTableScan(table=[[default, warehouse]], table:alias=[warehouse])
HiveProject($f0=[$0], $f1=[$1], $f2=[$2], $f3=[$3], $f4=[$4], $f5=[$5], $f6=[$6], $f7=[$7], $f8=[$8], $f9=[$9], $f10=[$10], $f11=[$11], $f12=[$12], $f13=[$13], $f14=[$14], $f15=[$15], $f16=[$16], $f17=[$17], $f18=[$18], $f19=[$19], $f20=[$20], $f21=[$21], $f22=[$22], $f23=[$23], $f24=[$24], $f25=[$25], $f26=[$26], $f27=[$27], $f28=[$28], $f29=[$29])
HiveAggregate(group=[{0, 1, 2, 3, 4, 5}], agg#0=[sum($6)], agg#1=[sum($7)], agg#2=[sum($8)], agg#3=[sum($9)], agg#4=[sum($10)], agg#5=[sum($11)], agg#6=[sum($12)], agg#7=[sum($13)], agg#8=[sum($14)], agg#9=[sum($15)], agg#10=[sum($16)], agg#11=[sum($17)], agg#12=[sum($18)], agg#13=[sum($19)], agg#14=[sum($20)], agg#15=[sum($21)], agg#16=[sum($22)], agg#17=[sum($23)], agg#18=[sum($24)], agg#19=[sum($25)], agg#20=[sum($26)], agg#21=[sum($27)], agg#22=[sum($28)], agg#23=[sum($29)])
- HiveProject($f0=[$22], $f1=[$23], $f2=[$24], $f3=[$25], $f4=[$26], $f5=[$27], $f7=[CASE($8, $4, 0:DECIMAL(18, 2))], $f8=[CASE($9, $4, 0:DECIMAL(18, 2))], $f9=[CASE($10, $4, 0:DECIMAL(18, 2))], $f10=[CASE($11, $4, 0:DECIMAL(18, 2))], $f11=[CASE($12, $4, 0:DECIMAL(18, 2))], $f12=[CASE($13, $4, 0:DECIMAL(18, 2))], $f13=[CASE($14, $4, 0:DECIMAL(18, 2))], $f14=[CASE($15, $4, 0:DECIMAL(18, 2))], $f15=[CASE($16, $4, 0:DECIMAL(18, 2))], $f16=[CASE($17, $4, 0:DECIMAL(18, 2))], $f17=[CASE($18, $4, 0:DECIMAL(18, 2))], $f18=[CASE($19, $4, 0:DECIMAL(18, 2))], $f19=[CASE($8, $5, 0:DECIMAL(18, 2))], $f20=[CASE($9, $5, 0:DECIMAL(18, 2))], $f21=[CASE($10, $5, 0:DECIMAL(18, 2))], $f22=[CASE($11, $5, 0:DECIMAL(18, 2))], $f23=[CASE($12, $5, 0:DECIMAL(18, 2))], $f24=[CASE($13, $5, 0:DECIMAL(18, 2))], $f25=[CASE($14, $5, 0:DECIMAL(18, 2))], $f26=[CASE($15, $5, 0:DECIMAL(18, 2))], $f27=[CASE($16, $5, 0:DECIMAL(18, 2))], $f28=[CASE($17, $5, 0:DECIMAL(18, 2))], $f29=[CASE($18, $5, 0:DECIMAL(18, 2))], $f30=[CASE($19, $5, 0:DECIMAL(18, 2))])
+ HiveProject($f0=[$22], $f1=[$23], $f2=[$24], $f3=[$25], $f4=[$26], $f5=[$27], $f7=[CASE($8, $4, 0.00:DECIMAL(18, 2))], $f8=[CASE($9, $4, 0.00:DECIMAL(18, 2))], $f9=[CASE($10, $4, 0.00:DECIMAL(18, 2))], $f10=[CASE($11, $4, 0.00:DECIMAL(18, 2))], $f11=[CASE($12, $4, 0.00:DECIMAL(18, 2))], $f12=[CASE($13, $4, 0.00:DECIMAL(18, 2))], $f13=[CASE($14, $4, 0.00:DECIMAL(18, 2))], $f14=[CASE($15, $4, 0.00:DECIMAL(18, 2))], $f15=[CASE($16, $4, 0.00:DECIMAL(18, 2))], $f16=[CASE($17, $4, 0.00:DECIMAL(18, 2))], $f17=[CASE($18, $4, 0.00:DECIMAL(18, 2))], $f18=[CASE($19, $4, 0.00:DECIMAL(18, 2))], $f19=[CASE($8, $5, 0.00:DECIMAL(18, 2))], $f20=[CASE($9, $5, 0.00:DECIMAL(18, 2))], $f21=[CASE($10, $5, 0.00:DECIMAL(18, 2))], $f22=[CASE($11, $5, 0.00:DECIMAL(18, 2))], $f23=[CASE($12, $5, 0.00:DECIMAL(18, 2))], $f24=[CASE($13, $5, 0.00:DECIMAL(18, 2))], $f25=[CASE($14, $5, 0.00:DECIMAL(18, 2))], $f26=[CASE($15, $5, 0.00:DECIMAL(18, 2))], $f27=[CASE($16, $5, 0.00:DECIMAL(18, 2))], $f28=[CASE($17, $5, 0.00:DECIMAL(18, 2))], $f29=[CASE($18, $5, 0.00:DECIMAL(18, 2))], $f30=[CASE($19, $5, 0.00:DECIMAL(18, 2))])
HiveJoin(condition=[=($2, $21)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($1, $20)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($3, $7)], joinType=[inner], algorithm=[none], cost=[not available])
@@ -43,7 +43,7 @@ HiveProject(w_warehouse_name=[$0], w_warehouse_sq_ft=[$1], w_city=[$2], w_county
HiveFilter(condition=[=($6, 2002)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(sm_ship_mode_sk=[$0])
- HiveFilter(condition=[IN($4, _UTF-16LE'AIRBORNE', _UTF-16LE'DIAMOND')])
+ HiveFilter(condition=[IN($4, 'AIRBORNE ', 'DIAMOND ')])
HiveTableScan(table=[[default, ship_mode]], table:alias=[ship_mode])
HiveProject(w_warehouse_sk=[$0], w_warehouse_name=[$2], w_warehouse_sq_ft=[$3], w_city=[$8], w_county=[$9], w_state=[$10], w_country=[$12])
HiveTableScan(table=[[default, warehouse]], table:alias=[warehouse])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query67.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query67.q.out
index e4150989e8da..37e1010d2904 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query67.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query67.q.out
@@ -8,7 +8,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], sort4=[$4], sort5=
HiveJoin(condition=[=($0, $10)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($1, $8)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($2, $4)], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(ss_item_sk=[$1], ss_store_sk=[$6], ss_sold_date_sk=[$22], $f8=[CASE(AND(IS NOT NULL($12), IS NOT NULL(CAST($9):DECIMAL(10, 0))), *($12, CAST($9):DECIMAL(10, 0)), 0:DECIMAL(18, 2))])
+ HiveProject(ss_item_sk=[$1], ss_store_sk=[$6], ss_sold_date_sk=[$22], $f8=[CASE(AND(IS NOT NULL($12), IS NOT NULL($9)), *($12, CAST($9):DECIMAL(10, 0)), 0.00:DECIMAL(18, 2))])
HiveFilter(condition=[AND(IS NOT NULL($6), IS NOT NULL($22))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
HiveProject(d_date_sk=[$0], d_year=[$6], d_moy=[$8], d_qoy=[$10])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query68.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query68.q.out
index 7ffdf2cff7f6..2a467d3a3003 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query68.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query68.q.out
@@ -23,7 +23,7 @@ HiveSortLimit(sort0=[$0], sort1=[$4], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveFilter(condition=[AND(BETWEEN(false, $9, 1, 2), IN($6, 1998, 1999, 2000))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(s_store_sk=[$0])
- HiveFilter(condition=[IN($22, _UTF-16LE'Cedar Grove':VARCHAR(60) CHARACTER SET "UTF-16LE", _UTF-16LE'Wildwood':VARCHAR(60) CHARACTER SET "UTF-16LE")])
+ HiveFilter(condition=[IN($22, 'Cedar Grove':VARCHAR(60) CHARACTER SET "UTF-16LE", 'Wildwood':VARCHAR(60) CHARACTER SET "UTF-16LE")])
HiveTableScan(table=[[default, store]], table:alias=[store])
HiveProject(hd_demo_sk=[$0])
HiveFilter(condition=[OR(=($4, 1), =($3, 2))])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query69.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query69.q.out
index 48c0c4e35535..b08b3da6df04 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query69.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query69.q.out
@@ -14,7 +14,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$4], sort4=[$6], dir0=[
HiveFilter(condition=[AND(IS NOT NULL($2), IS NOT NULL($4))])
HiveTableScan(table=[[default, customer]], table:alias=[c])
HiveProject(ca_address_sk=[$0], ca_state=[$8])
- HiveFilter(condition=[IN($8, _UTF-16LE'CO', _UTF-16LE'IL', _UTF-16LE'MN')])
+ HiveFilter(condition=[IN($8, 'CO', 'IL', 'MN')])
HiveTableScan(table=[[default, customer_address]], table:alias=[ca])
HiveProject(ss_customer_sk=[$0])
HiveJoin(condition=[=($1, $2)], joinType=[inner], algorithm=[none], cost=[not available])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query7.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query7.q.out
index 5c5d16b51077..a29cee5d15c1 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query7.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query7.q.out
@@ -13,10 +13,10 @@ HiveSortLimit(sort0=[$0], dir0=[ASC], fetch=[100])
HiveFilter(condition=[=($6, 1998)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(cd_demo_sk=[$0])
- HiveFilter(condition=[AND(=($2, _UTF-16LE'W'), =($1, _UTF-16LE'F'), =($3, _UTF-16LE'Primary '))])
+ HiveFilter(condition=[AND(=($2, 'W'), =($1, 'F'), =($3, 'Primary '))])
HiveTableScan(table=[[default, customer_demographics]], table:alias=[customer_demographics])
HiveProject(p_promo_sk=[$0])
- HiveFilter(condition=[OR(=($9, _UTF-16LE'N'), =($14, _UTF-16LE'N'))])
+ HiveFilter(condition=[OR(=($9, 'N'), =($14, 'N'))])
HiveTableScan(table=[[default, promotion]], table:alias=[promotion])
HiveProject(i_item_sk=[$0], i_item_id=[$1])
HiveTableScan(table=[[default, item]], table:alias=[item])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query71.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query71.q.out
index cf65b8819fe4..955ea36347f4 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query71.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query71.q.out
@@ -35,6 +35,6 @@ HiveProject(brand_id=[$0], brand=[$1], t_hour=[$2], t_minute=[$3], ext_price=[$4
HiveFilter(condition=[=($20, 1)])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(t_time_sk=[$0], t_hour=[$3], t_minute=[$4])
- HiveFilter(condition=[IN($9, _UTF-16LE'breakfast', _UTF-16LE'dinner')])
+ HiveFilter(condition=[IN($9, 'breakfast ', 'dinner ')])
HiveTableScan(table=[[default, time_dim]], table:alias=[time_dim])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query72.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query72.q.out
index 227b9d707cd2..9a35bac9ed77 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query72.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query72.q.out
@@ -20,10 +20,10 @@ HiveSortLimit(sort0=[$5], sort1=[$0], sort2=[$1], sort3=[$2], dir0=[DESC], dir1=
HiveFilter(condition=[AND(IS NOT NULL($17), IS NOT NULL($4), IS NOT NULL($3), IS NOT NULL($1), IS NOT NULL($33))])
HiveTableScan(table=[[default, catalog_sales]], table:alias=[catalog_sales])
HiveProject(hd_demo_sk=[$0])
- HiveFilter(condition=[=($2, _UTF-16LE'1001-5000 ')])
+ HiveFilter(condition=[=($2, '1001-5000 ')])
HiveTableScan(table=[[default, household_demographics]], table:alias=[household_demographics])
HiveProject(cd_demo_sk=[$0])
- HiveFilter(condition=[=($2, _UTF-16LE'M')])
+ HiveFilter(condition=[=($2, 'M')])
HiveTableScan(table=[[default, customer_demographics]], table:alias=[customer_demographics])
HiveProject(d_date_sk=[$0], d_week_seq=[$1], d_date_sk0=[$2], d_week_seq0=[$3], EXPR$0=[$4])
HiveJoin(condition=[=($3, $1)], joinType=[inner], algorithm=[none], cost=[not available])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query73.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query73.q.out
index 13dbe2ffe643..7c0f8da25cf8 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query73.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query73.q.out
@@ -18,9 +18,9 @@ HiveSortLimit(sort0=[$5], dir0=[DESC])
HiveFilter(condition=[AND(BETWEEN(false, $9, 1, 2), IN($6, 2000, 2001, 2002))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(hd_demo_sk=[$0])
- HiveFilter(condition=[AND(>($4, 0), IN($2, _UTF-16LE'>10000', _UTF-16LE'unknown'), CASE(>($4, 0), >(/(CAST($3):DOUBLE, CAST($4):DOUBLE), 1), false))])
+ HiveFilter(condition=[AND(>($4, 0), IN($2, '>10000 ', 'unknown '), CASE(>($4, 0), >(/(CAST($3):DOUBLE, CAST($4):DOUBLE), 1.0E0), false))])
HiveTableScan(table=[[default, household_demographics]], table:alias=[household_demographics])
HiveProject(s_store_sk=[$0])
- HiveFilter(condition=[IN($23, _UTF-16LE'Huron County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Kittitas County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Maverick County':VARCHAR(30) CHARACTER SET "UTF-16LE", _UTF-16LE'Mobile County':VARCHAR(30) CHARACTER SET "UTF-16LE")])
+ HiveFilter(condition=[IN($23, 'Huron County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Kittitas County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Maverick County':VARCHAR(30) CHARACTER SET "UTF-16LE", 'Mobile County':VARCHAR(30) CHARACTER SET "UTF-16LE")])
HiveTableScan(table=[[default, store]], table:alias=[store])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query75.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query75.q.out
index 38a97c4bdfe8..66eed2a9f31e 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query75.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query75.q.out
@@ -26,7 +26,7 @@ HiveProject(prev_year=[CAST(2001):INTEGER], year=[CAST(2002):INTEGER], curr_yr.i
HiveFilter(condition=[=($6, 2001)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(i_item_sk=[$0], i_brand_id=[$7], i_class_id=[$9], i_category_id=[$11], i_manufact_id=[$13])
- HiveFilter(condition=[AND(=($12, _UTF-16LE'Sports '), IS NOT NULL($13), IS NOT NULL($11), IS NOT NULL($7), IS NOT NULL($9))])
+ HiveFilter(condition=[AND(=($12, 'Sports '), IS NOT NULL($13), IS NOT NULL($11), IS NOT NULL($7), IS NOT NULL($9))])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(i_brand_id=[$11], i_class_id=[$12], i_category_id=[$13], i_manufact_id=[$14], sales_cnt=[-($6, CASE(IS NOT NULL($2), $2, 0))], sales_amt=[-($7, CASE(IS NOT NULL($3), $3, 0:DECIMAL(1, 0)))])
HiveJoin(condition=[AND(=($4, $0), =($5, $1))], joinType=[right], algorithm=[none], cost=[not available])
@@ -41,7 +41,7 @@ HiveProject(prev_year=[CAST(2001):INTEGER], year=[CAST(2002):INTEGER], curr_yr.i
HiveFilter(condition=[=($6, 2001)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(i_item_sk=[$0], i_brand_id=[$7], i_class_id=[$9], i_category_id=[$11], i_manufact_id=[$13])
- HiveFilter(condition=[AND(=($12, _UTF-16LE'Sports '), IS NOT NULL($13), IS NOT NULL($11), IS NOT NULL($7), IS NOT NULL($9))])
+ HiveFilter(condition=[AND(=($12, 'Sports '), IS NOT NULL($13), IS NOT NULL($11), IS NOT NULL($7), IS NOT NULL($9))])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(i_brand_id=[$11], i_class_id=[$12], i_category_id=[$13], i_manufact_id=[$14], sales_cnt=[-($6, CASE(IS NOT NULL($2), $2, 0))], sales_amt=[-($7, CASE(IS NOT NULL($3), $3, 0:DECIMAL(1, 0)))])
HiveJoin(condition=[AND(=($4, $0), =($5, $1))], joinType=[right], algorithm=[none], cost=[not available])
@@ -56,7 +56,7 @@ HiveProject(prev_year=[CAST(2001):INTEGER], year=[CAST(2002):INTEGER], curr_yr.i
HiveFilter(condition=[=($6, 2001)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(i_item_sk=[$0], i_brand_id=[$7], i_class_id=[$9], i_category_id=[$11], i_manufact_id=[$13])
- HiveFilter(condition=[AND(=($12, _UTF-16LE'Sports '), IS NOT NULL($13), IS NOT NULL($11), IS NOT NULL($7), IS NOT NULL($9))])
+ HiveFilter(condition=[AND(=($12, 'Sports '), IS NOT NULL($13), IS NOT NULL($11), IS NOT NULL($7), IS NOT NULL($9))])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(i_brand_id=[$0], i_class_id=[$1], i_category_id=[$2], i_manufact_id=[$3], $f4=[$4], $f5=[$5])
HiveAggregate(group=[{0, 1, 2, 3}], agg#0=[sum($4)], agg#1=[sum($5)])
@@ -81,7 +81,7 @@ HiveProject(prev_year=[CAST(2001):INTEGER], year=[CAST(2002):INTEGER], curr_yr.i
HiveFilter(condition=[=($6, 2002)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(i_item_sk=[$0], i_brand_id=[$7], i_class_id=[$9], i_category_id=[$11], i_manufact_id=[$13])
- HiveFilter(condition=[AND(=($12, _UTF-16LE'Sports '), IS NOT NULL($13), IS NOT NULL($11), IS NOT NULL($7), IS NOT NULL($9))])
+ HiveFilter(condition=[AND(=($12, 'Sports '), IS NOT NULL($13), IS NOT NULL($11), IS NOT NULL($7), IS NOT NULL($9))])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(i_brand_id=[$11], i_class_id=[$12], i_category_id=[$13], i_manufact_id=[$14], sales_cnt=[-($6, CASE(IS NOT NULL($2), $2, 0))], sales_amt=[-($7, CASE(IS NOT NULL($3), $3, 0:DECIMAL(1, 0)))])
HiveJoin(condition=[AND(=($4, $0), =($5, $1))], joinType=[right], algorithm=[none], cost=[not available])
@@ -96,7 +96,7 @@ HiveProject(prev_year=[CAST(2001):INTEGER], year=[CAST(2002):INTEGER], curr_yr.i
HiveFilter(condition=[=($6, 2002)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(i_item_sk=[$0], i_brand_id=[$7], i_class_id=[$9], i_category_id=[$11], i_manufact_id=[$13])
- HiveFilter(condition=[AND(=($12, _UTF-16LE'Sports '), IS NOT NULL($13), IS NOT NULL($11), IS NOT NULL($7), IS NOT NULL($9))])
+ HiveFilter(condition=[AND(=($12, 'Sports '), IS NOT NULL($13), IS NOT NULL($11), IS NOT NULL($7), IS NOT NULL($9))])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(i_brand_id=[$11], i_class_id=[$12], i_category_id=[$13], i_manufact_id=[$14], sales_cnt=[-($6, CASE(IS NOT NULL($2), $2, 0))], sales_amt=[-($7, CASE(IS NOT NULL($3), $3, 0:DECIMAL(1, 0)))])
HiveJoin(condition=[AND(=($4, $0), =($5, $1))], joinType=[right], algorithm=[none], cost=[not available])
@@ -111,6 +111,6 @@ HiveProject(prev_year=[CAST(2001):INTEGER], year=[CAST(2002):INTEGER], curr_yr.i
HiveFilter(condition=[=($6, 2002)])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(i_item_sk=[$0], i_brand_id=[$7], i_class_id=[$9], i_category_id=[$11], i_manufact_id=[$13])
- HiveFilter(condition=[AND(=($12, _UTF-16LE'Sports '), IS NOT NULL($13), IS NOT NULL($11), IS NOT NULL($7), IS NOT NULL($9))])
+ HiveFilter(condition=[AND(=($12, 'Sports '), IS NOT NULL($13), IS NOT NULL($11), IS NOT NULL($7), IS NOT NULL($9))])
HiveTableScan(table=[[default, item]], table:alias=[item])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query76.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query76.q.out
index 86e531d376d4..534080f01639 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query76.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query76.q.out
@@ -4,7 +4,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], sort4=[$4], dir0=[
HiveAggregate(group=[{0, 1, 2, 3, 4}], agg#0=[count()], agg#1=[sum($5)])
HiveProject(channel=[$0], col_name=[$1], d_year=[$2], d_qoy=[$3], i_category=[$4], ext_sales_price=[$5])
HiveUnion(all=[true])
- HiveProject(channel=[_UTF-16LE'store':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], col_name=[_UTF-16LE'ss_addr_sk':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], d_year=[$1], d_qoy=[$2], i_category=[$7], ext_sales_price=[$4])
+ HiveProject(channel=['store':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], col_name=['ss_addr_sk':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], d_year=[$1], d_qoy=[$2], i_category=[$7], ext_sales_price=[$4])
HiveJoin(condition=[=($3, $6)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($5, $0)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(d_date_sk=[$0], d_year=[$6], d_qoy=[$10])
@@ -14,7 +14,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], sort4=[$4], dir0=[
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
HiveProject(i_item_sk=[$0], i_category=[$12])
HiveTableScan(table=[[default, item]], table:alias=[item])
- HiveProject(channel=[_UTF-16LE'web':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], col_name=[_UTF-16LE'ws_web_page_sk':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], d_year=[$4], d_qoy=[$5], i_category=[$7], ext_sales_price=[$1])
+ HiveProject(channel=['web':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], col_name=['ws_web_page_sk':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], d_year=[$4], d_qoy=[$5], i_category=[$7], ext_sales_price=[$1])
HiveJoin(condition=[=($0, $6)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($2, $3)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(ws_item_sk=[$2], ws_ext_sales_price=[$22], ws_sold_date_sk=[$33])
@@ -24,7 +24,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], sort4=[$4], dir0=[
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(i_item_sk=[$0], i_category=[$12])
HiveTableScan(table=[[default, item]], table:alias=[item])
- HiveProject(channel=[_UTF-16LE'catalog':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], col_name=[_UTF-16LE'cs_warehouse_sk':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], d_year=[$4], d_qoy=[$5], i_category=[$7], ext_sales_price=[$1])
+ HiveProject(channel=['catalog':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], col_name=['cs_warehouse_sk':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], d_year=[$4], d_qoy=[$5], i_category=[$7], ext_sales_price=[$1])
HiveJoin(condition=[=($0, $6)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($2, $3)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(cs_item_sk=[$14], cs_ext_sales_price=[$22], cs_sold_date_sk=[$33])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query77.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query77.q.out
index 603272d382d2..698a472d9218 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query77.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query77.q.out
@@ -5,7 +5,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveAggregate(group=[{0, 1}], groups=[[{0, 1}, {0}, {}]], agg#0=[sum($2)], agg#1=[sum($3)], agg#2=[sum($4)])
HiveProject(channel=[$0], id=[$1], sales=[$2], returns=[$3], profit=[$4])
HiveUnion(all=[true])
- HiveProject(channel=[_UTF-16LE'store channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[$0], sales=[$1], returns=[CASE(IS NOT NULL($4), $4, 0:DECIMAL(17, 2))], profit=[-($2, CASE(IS NOT NULL($5), $5, 0:DECIMAL(17, 2)))])
+ HiveProject(channel=['store channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[$0], sales=[$1], returns=[CASE(IS NOT NULL($4), $4, 0.00:DECIMAL(17, 2))], profit=[-($2, CASE(IS NOT NULL($5), $5, 0.00:DECIMAL(17, 2)))])
HiveJoin(condition=[=($0, $3)], joinType=[left], algorithm=[none], cost=[not available])
HiveProject(ss_store_sk=[$0], $f1=[$1], $f2=[$2])
HiveAggregate(group=[{0}], agg#0=[sum($1)], agg#1=[sum($2)])
@@ -27,7 +27,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveProject(d_date_sk=[$0])
HiveFilter(condition=[BETWEEN(false, CAST($2):TIMESTAMP(9), 1998-08-04 00:00:00:TIMESTAMP(9), 1998-09-03 00:00:00:TIMESTAMP(9))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
- HiveProject(channel=[_UTF-16LE'catalog channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[$0], sales=[$1], returns=[$3], profit=[-($2, $4)])
+ HiveProject(channel=['catalog channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[$0], sales=[$1], returns=[$3], profit=[-($2, $4)])
HiveJoin(condition=[true], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(cs_call_center_sk=[$0], $f1=[$1], $f2=[$2])
HiveAggregate(group=[{0}], agg#0=[sum($1)], agg#1=[sum($2)])
@@ -47,7 +47,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveProject(d_date_sk=[$0])
HiveFilter(condition=[BETWEEN(false, CAST($2):TIMESTAMP(9), 1998-08-04 00:00:00:TIMESTAMP(9), 1998-09-03 00:00:00:TIMESTAMP(9))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
- HiveProject(channel=[_UTF-16LE'web channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[$0], sales=[$1], returns=[CASE(IS NOT NULL($4), $4, 0:DECIMAL(17, 2))], profit=[-($2, CASE(IS NOT NULL($5), $5, 0:DECIMAL(17, 2)))])
+ HiveProject(channel=['web channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[$0], sales=[$1], returns=[CASE(IS NOT NULL($4), $4, 0.00:DECIMAL(17, 2))], profit=[-($2, CASE(IS NOT NULL($5), $5, 0.00:DECIMAL(17, 2)))])
HiveJoin(condition=[=($0, $3)], joinType=[left], algorithm=[none], cost=[not available])
HiveProject(ws_web_page_sk=[$0], $f1=[$1], $f2=[$2])
HiveAggregate(group=[{0}], agg#0=[sum($1)], agg#1=[sum($2)])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query78.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query78.q.out
index 483d4c87e9df..fa242f0e62c2 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query78.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query78.q.out
@@ -1,7 +1,7 @@
CBO PLAN:
HiveProject(ss_sold_year=[CAST(2000):INTEGER], ss_item_sk=[$0], ss_customer_sk=[$1], ratio=[$2], store_qty=[$3], store_wholesale_cost=[$4], store_sales_price=[$5], other_chan_qty=[$6], other_chan_wholesale_cost=[$7], other_chan_sales_price=[$8])
HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$9], sort3=[$10], sort4=[$11], sort5=[$6], sort6=[$7], sort7=[$8], sort8=[$12], dir0=[ASC], dir1=[ASC], dir2=[DESC], dir3=[DESC], dir4=[DESC], dir5=[ASC], dir6=[ASC], dir7=[ASC], dir8=[ASC], fetch=[100])
- HiveProject(ss_item_sk=[$0], ss_customer_sk=[$1], ratio=[round(/(CAST($2):DOUBLE, CAST(CASE(AND(IS NOT NULL($7), IS NOT NULL($11)), +($7, $11), 1:BIGINT)):DOUBLE), 2)], store_qty=[$2], store_wholesale_cost=[$3], store_sales_price=[$4], other_chan_qty=[+(CASE(IS NOT NULL($7), $7, 0:BIGINT), CASE(IS NOT NULL($11), $11, 0:BIGINT))], other_chan_wholesale_cost=[+(CASE(IS NOT NULL($8), $8, 0:DECIMAL(17, 2)), CASE(IS NOT NULL($12), $12, 0:DECIMAL(17, 2)))], other_chan_sales_price=[+(CASE(IS NOT NULL($9), $9, 0:DECIMAL(17, 2)), CASE(IS NOT NULL($13), $13, 0:DECIMAL(17, 2)))], ss_qty=[$2], ss_wc=[$3], ss_sp=[$4], (tok_function round (/ (tok_table_or_col ss_qty) (tok_function coalesce (+ (tok_table_or_col ws_qty) (tok_table_or_col cs_qty)) 1)) 2)=[round(/(CAST($2):DOUBLE, CAST(CASE(AND(IS NOT NULL($7), IS NOT NULL($11)), +($7, $11), 1:BIGINT)):DOUBLE), 2)])
+ HiveProject(ss_item_sk=[$0], ss_customer_sk=[$1], ratio=[round(/(CAST($2):DOUBLE, CAST(CASE(AND(IS NOT NULL($7), IS NOT NULL($11)), +($7, $11), 1:BIGINT)):DOUBLE), 2)], store_qty=[$2], store_wholesale_cost=[$3], store_sales_price=[$4], other_chan_qty=[+(CASE(IS NOT NULL($7), $7, 0:BIGINT), CASE(IS NOT NULL($11), $11, 0:BIGINT))], other_chan_wholesale_cost=[+(CASE(IS NOT NULL($8), $8, 0.00:DECIMAL(17, 2)), CASE(IS NOT NULL($12), $12, 0.00:DECIMAL(17, 2)))], other_chan_sales_price=[+(CASE(IS NOT NULL($9), $9, 0.00:DECIMAL(17, 2)), CASE(IS NOT NULL($13), $13, 0.00:DECIMAL(17, 2)))], ss_qty=[$2], ss_wc=[$3], ss_sp=[$4], (tok_function round (/ (tok_table_or_col ss_qty) (tok_function coalesce (+ (tok_table_or_col ws_qty) (tok_table_or_col cs_qty)) 1)) 2)=[round(/(CAST($2):DOUBLE, CAST(CASE(AND(IS NOT NULL($7), IS NOT NULL($11)), +($7, $11), 1:BIGINT)):DOUBLE), 2)])
HiveJoin(condition=[=($10, $1)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[AND(=($6, $1), =($5, $0))], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(ss_item_sk=[$0], ss_customer_sk=[$1], $f2=[$2], $f3=[$3], $f4=[$4])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query8.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query8.q.out
index 365ec254866a..1f3d8cc5792a 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query8.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query8.q.out
@@ -20,7 +20,7 @@ HiveSortLimit(sort0=[$0], dir0=[ASC], fetch=[100])
HiveProject($f0=[$0], $f1=[$1])
HiveAggregate(group=[{0}], agg#0=[count()])
HiveProject($f0=[substr($9, 1, 5)])
- HiveFilter(condition=[AND(IN(substr($9, 1, 5), _UTF-16LE'89436':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'30868':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'65085':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'22977':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'83927':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'77557':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'58429':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'40697':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'80614':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'10502':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'32779':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'91137':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'61265':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'98294':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'17921':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'18427':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'21203':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'59362':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'87291':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'84093':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'21505':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'17184':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'10866':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'67898':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'25797':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'28055':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'18377':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'80332':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'74535':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'21757':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'29742':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'90885':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'29898':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'17819':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'40811':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'25990':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'47513':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'89531':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'91068':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'10391':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'18846':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'99223':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'82637':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'41368':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'83658':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'86199':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'81625':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'26696':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'89338':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'88425':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'32200':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'81427':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'19053':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'77471':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'36610':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'99823':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'43276':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'41249':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'48584':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'83550':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'82276':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'18842':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'78890':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'14090':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'38123':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'40936':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'34425':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'19850':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'43286':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'80072':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'79188':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'54191':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'11395':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'50497':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'84861':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'90733':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'21068':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'57666':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'37119':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'25004':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'57835':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'70067':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'62878':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'95806':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'19303':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'18840':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'19124':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'29785':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'16737':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'16022':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'49613':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'89977':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'68310':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'60069':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'98360':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'48649':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'39050':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'41793':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'25002':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'27413':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'39736':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'47208':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'16515':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'94808':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'57648':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'15009':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'80015':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'42961':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'63982':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'21744':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'71853':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'81087':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'67468':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'34175':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'64008':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'20261':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'11201':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'51799':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'48043':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'45645':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'61163':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'48375':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'36447':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'57042':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'21218':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'41100':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'89951':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'22745':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'35851':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'83326':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'61125':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'78298':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'80752':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'49858':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'52940':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'96976':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'63792':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'11376':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'53582':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'18717':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'90226':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'50530':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'94203':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'99447':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'27670':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'96577':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'57856':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'56372':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'16165':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'23427':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'54561':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'28806':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'44439':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'22926':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'30123':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'61451':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'92397':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'56979':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'92309':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'70873':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'13355':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'21801':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'46346':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'37562':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'56458':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'28286':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'47306':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'99555':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'69399':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'26234':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'47546':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'49661':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'88601':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'35943':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'39936':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'25632':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'24611':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'44166':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'56648':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'30379':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'59785':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'11110':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'14329':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'93815':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'52226':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'71381':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'13842':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'25612':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'63294':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'14664':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'21077':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'82626':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'18799':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'60915':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'81020':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'56447':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'76619':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'11433':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'13414':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'42548':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'92713':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'70467':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'30884':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'47484':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'16072':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'38936':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'13036':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'88376':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'45539':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'35901':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'19506':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'65690':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'73957':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'71850':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'49231':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'14276':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'20005':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'18384':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'76615':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'11635':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'38177':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'55607':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'41369':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'95447':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'58581':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'58149':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'91946':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'33790':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'76232':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'75692':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'95464':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'22246':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'51061':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'56692':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'53121':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'77209':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'15482':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'10688':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'14868':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'45907':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'73520':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'72666':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'25734':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'17959':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'24677':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'66446':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'94627':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'53535':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'15560':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'41967':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'69297':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'11929':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'59403':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'33283':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'52232':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'57350':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'43933':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'40921':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'36635':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'10827':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'71286':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'19736':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'80619':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'25251':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'95042':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'15526':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'36496':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'55854':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'49124':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'81980':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'35375':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'49157':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'63512':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'28944':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'14946':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'36503':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'54010':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'18767':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'23969':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'43905':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'66979':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'33113':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'21286':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'58471':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'59080':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'13395':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'79144':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'70373':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'67031':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'38360':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'26705':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'50906':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'52406':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'26066':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'73146':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'15884':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'31897':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", 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CHARACTER SET "UTF-16LE", _UTF-16LE'72008':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'49247':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'91911':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'69998':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'20961':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'70070':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'63197':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'54853':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'88191':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'91830':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'49521':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'19454':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'81450':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'89091':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'62378':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'25683':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'61869':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'51744':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'36580':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'85778':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'36871':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'48121':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'28810':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'83712':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'45486':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'67393':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'26935':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'42393':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'20132':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'55349':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'86057':VARCHAR(2147483647) CHARACTER SET 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CHARACTER SET "UTF-16LE", _UTF-16LE'33032':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'52868':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'99194':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'99900':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'84936':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'69036':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'99149':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'45013':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'32895':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'59004':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'32322':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'14933':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'32936':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'33562':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'72550':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'27385':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'58049':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'58200':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'16808':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'21360':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'32961':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'18586':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'79307':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", _UTF-16LE'15492':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), IS NOT NULL(substr(substr($9, 1, 5), 1, 2)))])
+ HiveFilter(condition=[AND(IN(substr($9, 1, 5), '89436':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '30868':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '65085':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '22977':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '83927':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '77557':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '58429':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '40697':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '80614':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '10502':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '32779':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '91137':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '61265':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '98294':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '17921':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '18427':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '21203':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '59362':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '87291':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '84093':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '21505':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '17184':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '10866':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '67898':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '25797':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '28055':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '18377':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '80332':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '74535':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '21757':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '29742':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '90885':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '29898':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '17819':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '40811':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '25990':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '47513':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '89531':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '91068':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '10391':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '18846':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '99223':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '82637':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '41368':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '83658':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '86199':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '81625':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '26696':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '89338':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '88425':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '32200':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '81427':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '19053':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '77471':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '36610':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '99823':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '43276':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '41249':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '48584':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '83550':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '82276':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '18842':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '78890':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '14090':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '38123':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '40936':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '34425':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '19850':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '43286':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '80072':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '79188':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '54191':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '11395':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '50497':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '84861':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '90733':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '21068':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '57666':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '37119':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '25004':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '57835':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '70067':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '62878':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '95806':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '19303':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '18840':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '19124':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '29785':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '16737':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '16022':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '49613':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '89977':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '68310':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '60069':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '98360':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '48649':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '39050':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '41793':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '25002':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '27413':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '39736':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '47208':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '16515':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '94808':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '57648':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '15009':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '80015':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '42961':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '63982':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '21744':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '71853':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '81087':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '67468':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '34175':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '64008':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '20261':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '11201':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '51799':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '48043':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '45645':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '61163':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '48375':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '36447':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '57042':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '21218':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '41100':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '89951':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '22745':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '35851':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '83326':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '61125':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '78298':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '80752':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '49858':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '52940':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '96976':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '63792':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '11376':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '53582':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '18717':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '90226':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '50530':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '94203':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '99447':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '27670':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '96577':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '57856':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '56372':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '16165':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '23427':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '54561':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '28806':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '44439':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '22926':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '30123':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '61451':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '92397':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '56979':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '92309':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '70873':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '13355':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '21801':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '46346':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '37562':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '56458':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '28286':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '47306':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '99555':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '69399':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '26234':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '47546':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '49661':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '88601':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '35943':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '39936':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '25632':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '24611':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '44166':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '56648':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '30379':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '59785':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '11110':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '14329':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '93815':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '52226':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '71381':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '13842':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '25612':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '63294':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '14664':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '21077':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '82626':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '18799':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '60915':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '81020':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '56447':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '76619':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '11433':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '13414':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '42548':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '92713':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '70467':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '30884':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '47484':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '16072':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '38936':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '13036':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '88376':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '45539':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '35901':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '19506':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '65690':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '73957':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '71850':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '49231':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '14276':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '20005':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '18384':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '76615':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '11635':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '38177':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '55607':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '41369':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '95447':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '58581':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '58149':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '91946':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '33790':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '76232':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '75692':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '95464':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '22246':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '51061':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '56692':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '53121':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '77209':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '15482':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '10688':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '14868':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '45907':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '73520':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '72666':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '25734':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '17959':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '24677':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '66446':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '94627':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '53535':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '15560':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '41967':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '69297':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '11929':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '59403':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '33283':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '52232':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '57350':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '43933':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '40921':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '36635':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '10827':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '71286':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '19736':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '80619':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '25251':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '95042':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '15526':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '36496':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '55854':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '49124':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '81980':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '35375':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '49157':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '63512':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '28944':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '14946':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '36503':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '54010':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '18767':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '23969':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '43905':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '66979':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '33113':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '21286':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '58471':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '59080':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '13395':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '79144':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '70373':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '67031':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '38360':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '26705':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '50906':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '52406':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '26066':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '73146':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '15884':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '31897':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '30045':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '61068':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '45550':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '92454':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '13376':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '14354':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '19770':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '22928':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '97790':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '50723':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '46081':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '30202':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '14410':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '20223':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '88500':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '67298':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '13261':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '14172':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '81410':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '93578':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '83583':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '46047':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '94167':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '82564':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '21156':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '15799':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '86709':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '37931':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '74703':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '83103':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '23054':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '70470':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '72008':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '49247':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '91911':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '69998':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '20961':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '70070':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '63197':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '54853':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '88191':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '91830':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '49521':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '19454':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '81450':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '89091':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '62378':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '25683':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '61869':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '51744':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '36580':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '85778':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '36871':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '48121':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '28810':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '83712':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '45486':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '67393':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '26935':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '42393':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '20132':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '55349':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '86057':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '21309':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '80218':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '10094':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '11357':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '48819':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '39734':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '40758':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '30432':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '21204':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '29467':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '30214':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '61024':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '55307':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '74621':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '11622':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '68908':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '33032':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '52868':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '99194':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '99900':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '84936':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '69036':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '99149':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '45013':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '32895':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '59004':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '32322':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '14933':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '32936':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '33562':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '72550':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '27385':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '58049':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '58200':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '16808':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '21360':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '32961':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '18586':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '79307':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", '15492':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), IS NOT NULL(substr(substr($9, 1, 5), 1, 2)))])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveProject($f0=[$0], $f1=[$1])
HiveAggregate(group=[{0}], agg#0=[count()])
@@ -32,7 +32,7 @@ HiveSortLimit(sort0=[$0], dir0=[ASC], fetch=[100])
HiveFilter(condition=[IS NOT NULL(substr(substr($9, 1, 5), 1, 2))])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveProject(c_current_addr_sk=[$4])
- HiveFilter(condition=[AND(=($10, _UTF-16LE'Y'), IS NOT NULL($4))])
+ HiveFilter(condition=[AND(=($10, 'Y'), IS NOT NULL($4))])
HiveTableScan(table=[[default, customer]], table:alias=[customer])
HiveProject(s_store_sk=[$0], s_store_name=[$5], EXPR$0=[substr($25, 1, 2)])
HiveFilter(condition=[IS NOT NULL(substr($25, 1, 2))])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query80.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query80.q.out
index 2fea65b34ef5..d4e8b7925620 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query80.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query80.q.out
@@ -4,9 +4,9 @@ HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveAggregate(group=[{0, 1}], groups=[[{0, 1}, {0}, {}]], agg#0=[sum($2)], agg#1=[sum($3)], agg#2=[sum($4)])
HiveProject(channel=[$0], id=[$1], sales=[$2], returns=[$3], profit=[$4])
HiveUnion(all=[true])
- HiveProject(channel=[_UTF-16LE'store channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[||(_UTF-16LE'store':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0)], sales=[$1], returns=[$2], profit=[$3])
+ HiveProject(channel=['store channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[||('store':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0)], sales=[$1], returns=[$2], profit=[$3])
HiveAggregate(group=[{0}], agg#0=[sum($1)], agg#1=[sum($2)], agg#2=[sum($3)])
- HiveProject($f0=[$15], $f1=[$4], $f2=[CASE(IS NOT NULL($9), $9, 0:DECIMAL(12, 2))], $f3=[-($5, CASE(IS NOT NULL($10), $10, 0:DECIMAL(12, 2)))])
+ HiveProject($f0=[$15], $f1=[$4], $f2=[CASE(IS NOT NULL($9), $9, 0.00:DECIMAL(12, 2))], $f3=[-($5, CASE(IS NOT NULL($10), $10, 0.00:DECIMAL(12, 2)))])
HiveJoin(condition=[=($1, $14)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($2, $13)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($0, $12)], joinType=[inner], algorithm=[none], cost=[not available])
@@ -24,13 +24,13 @@ HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveFilter(condition=[>($5, 50:DECIMAL(2, 0))])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(p_promo_sk=[$0])
- HiveFilter(condition=[=($11, _UTF-16LE'N')])
+ HiveFilter(condition=[=($11, 'N')])
HiveTableScan(table=[[default, promotion]], table:alias=[promotion])
HiveProject(s_store_sk=[$0], s_store_id=[$1])
HiveTableScan(table=[[default, store]], table:alias=[store])
- HiveProject(channel=[_UTF-16LE'catalog channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[||(_UTF-16LE'catalog_page':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0)], sales=[$1], returns=[$2], profit=[$3])
+ HiveProject(channel=['catalog channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[||('catalog_page':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0)], sales=[$1], returns=[$2], profit=[$3])
HiveAggregate(group=[{0}], agg#0=[sum($1)], agg#1=[sum($2)], agg#2=[sum($3)])
- HiveProject($f0=[$15], $f1=[$4], $f2=[CASE(IS NOT NULL($9), $9, 0:DECIMAL(12, 2))], $f3=[-($5, CASE(IS NOT NULL($10), $10, 0:DECIMAL(12, 2)))])
+ HiveProject($f0=[$15], $f1=[$4], $f2=[CASE(IS NOT NULL($9), $9, 0.00:DECIMAL(12, 2))], $f3=[-($5, CASE(IS NOT NULL($10), $10, 0.00:DECIMAL(12, 2)))])
HiveJoin(condition=[=($0, $14)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($2, $13)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($1, $12)], joinType=[inner], algorithm=[none], cost=[not available])
@@ -48,13 +48,13 @@ HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveFilter(condition=[>($5, 50:DECIMAL(2, 0))])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(p_promo_sk=[$0])
- HiveFilter(condition=[=($11, _UTF-16LE'N')])
+ HiveFilter(condition=[=($11, 'N')])
HiveTableScan(table=[[default, promotion]], table:alias=[promotion])
HiveProject(cp_catalog_page_sk=[$0], cp_catalog_page_id=[$1])
HiveTableScan(table=[[default, catalog_page]], table:alias=[catalog_page])
- HiveProject(channel=[_UTF-16LE'web channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[||(_UTF-16LE'web_site':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0)], sales=[$1], returns=[$2], profit=[$3])
+ HiveProject(channel=['web channel':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"], id=[||('web_site':VARCHAR(2147483647) CHARACTER SET "UTF-16LE", $0)], sales=[$1], returns=[$2], profit=[$3])
HiveAggregate(group=[{0}], agg#0=[sum($1)], agg#1=[sum($2)], agg#2=[sum($3)])
- HiveProject($f0=[$15], $f1=[$4], $f2=[CASE(IS NOT NULL($9), $9, 0:DECIMAL(12, 2))], $f3=[-($5, CASE(IS NOT NULL($10), $10, 0:DECIMAL(12, 2)))])
+ HiveProject($f0=[$15], $f1=[$4], $f2=[CASE(IS NOT NULL($9), $9, 0.00:DECIMAL(12, 2))], $f3=[-($5, CASE(IS NOT NULL($10), $10, 0.00:DECIMAL(12, 2)))])
HiveJoin(condition=[=($1, $14)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($2, $13)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($0, $12)], joinType=[inner], algorithm=[none], cost=[not available])
@@ -72,7 +72,7 @@ HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveFilter(condition=[>($5, 50:DECIMAL(2, 0))])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(p_promo_sk=[$0])
- HiveFilter(condition=[=($11, _UTF-16LE'N')])
+ HiveFilter(condition=[=($11, 'N')])
HiveTableScan(table=[[default, promotion]], table:alias=[promotion])
HiveProject(web_site_sk=[$0], web_site_id=[$1])
HiveTableScan(table=[[default, web_site]], table:alias=[web_site])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query81.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query81.q.out
index d1bdb18108d9..ba58d53de761 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query81.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query81.q.out
@@ -1,5 +1,5 @@
CBO PLAN:
-HiveProject(c_customer_id=[$0], c_salutation=[$1], c_first_name=[$2], c_last_name=[$3], ca_street_number=[$4], ca_street_name=[$5], ca_street_type=[$6], ca_suite_number=[$7], ca_city=[$8], ca_county=[$9], ca_state=[CAST(_UTF-16LE'IL'):CHAR(2) CHARACTER SET "UTF-16LE"], ca_zip=[$10], ca_country=[$11], ca_gmt_offset=[$12], ca_location_type=[$13], ctr_total_return=[$14])
+HiveProject(c_customer_id=[$0], c_salutation=[$1], c_first_name=[$2], c_last_name=[$3], ca_street_number=[$4], ca_street_name=[$5], ca_street_type=[$6], ca_suite_number=[$7], ca_city=[$8], ca_county=[$9], ca_state=[CAST('IL'):CHAR(2) CHARACTER SET "UTF-16LE"], ca_zip=[$10], ca_country=[$11], ca_gmt_offset=[$12], ca_location_type=[$13], ctr_total_return=[$14])
HiveSortLimit(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], sort4=[$4], sort5=[$5], sort6=[$6], sort7=[$7], sort8=[$8], sort9=[$9], sort10=[$10], sort11=[$11], sort12=[$12], sort13=[$13], sort14=[$14], dir0=[ASC], dir1=[ASC], dir2=[ASC], dir3=[ASC], dir4=[ASC], dir5=[ASC], dir6=[ASC], dir7=[ASC], dir8=[ASC], dir9=[ASC], dir10=[ASC], dir11=[ASC], dir12=[ASC], dir13=[ASC], dir14=[ASC], fetch=[100])
HiveProject(c_customer_id=[$1], c_salutation=[$3], c_first_name=[$4], c_last_name=[$5], ca_street_number=[$7], ca_street_name=[$8], ca_street_type=[$9], ca_suite_number=[$10], ca_city=[$11], ca_county=[$12], ca_zip=[$13], ca_country=[$14], ca_gmt_offset=[$15], ca_location_type=[$16], ctr_total_return=[$19])
HiveJoin(condition=[AND(=($18, $21), >($19, $20))], joinType=[inner], algorithm=[none], cost=[not available])
@@ -9,7 +9,7 @@ HiveProject(c_customer_id=[$0], c_salutation=[$1], c_first_name=[$2], c_last_nam
HiveFilter(condition=[IS NOT NULL($4)])
HiveTableScan(table=[[default, customer]], table:alias=[customer])
HiveProject(ca_address_sk=[$0], ca_street_number=[$2], ca_street_name=[$3], ca_street_type=[$4], ca_suite_number=[$5], ca_city=[$6], ca_county=[$7], ca_zip=[$9], ca_country=[$10], ca_gmt_offset=[$11], ca_location_type=[$12])
- HiveFilter(condition=[=($8, _UTF-16LE'IL')])
+ HiveFilter(condition=[=($8, 'IL')])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveProject(cr_returning_customer_sk=[$0], ca_state=[$1], $f2=[$2])
HiveFilter(condition=[IS NOT NULL($2)])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query82.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query82.q.out
index 44172d451daa..a09396c80713 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query82.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query82.q.out
@@ -11,7 +11,7 @@ HiveSortLimit(sort0=[$0], dir0=[ASC], fetch=[100])
HiveFilter(condition=[BETWEEN(false, $3, 100, 500)])
HiveTableScan(table=[[default, inventory]], table:alias=[inventory])
HiveProject(i_item_sk=[$0], i_item_id=[$1], i_item_desc=[$4], i_current_price=[$5])
- HiveFilter(condition=[AND(IN($13, 129, 437, 663, 727), BETWEEN(false, $5, 30:DECIMAL(12, 2), 60:DECIMAL(12, 2)))])
+ HiveFilter(condition=[AND(IN($13, 129, 437, 663, 727), BETWEEN(false, $5, 30.00:DECIMAL(12, 2), 60.00:DECIMAL(12, 2)))])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(d_date_sk=[$0])
HiveFilter(condition=[BETWEEN(false, CAST($2):TIMESTAMP(9), 2002-05-30 00:00:00:TIMESTAMP(9), 2002-07-29 00:00:00:TIMESTAMP(9))])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query83.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query83.q.out
index 8ddb4e1eca14..564564d77ea6 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query83.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query83.q.out
@@ -1,6 +1,6 @@
CBO PLAN:
HiveSortLimit(sort0=[$0], sort1=[$1], dir0=[ASC], dir1=[ASC], fetch=[100])
- HiveProject(sr_items.item_id=[$0], sr_item_qty=[$3], sr_dev=[*(/(/(CAST($3):DOUBLE, CAST(+(+($3, $1), $5)):DOUBLE), 3), 100)], cr_item_qty=[$1], cr_dev=[*(/(/(CAST($1):DOUBLE, CAST(+(+($3, $1), $5)):DOUBLE), 3), 100)], wr_item_qty=[$5], wr_dev=[*(/(/($6, CAST(+(+($3, $1), $5)):DOUBLE), 3), 100)], average=[/(CAST(+(+($3, $1), $5)):DECIMAL(19, 0), 3:DECIMAL(1, 0))])
+ HiveProject(sr_items.item_id=[$0], sr_item_qty=[$3], sr_dev=[*(/(/(CAST($3):DOUBLE, CAST(+(+($3, $1), $5)):DOUBLE), 3.0E0), 100.0E0)], cr_item_qty=[$1], cr_dev=[*(/(/(CAST($1):DOUBLE, CAST(+(+($3, $1), $5)):DOUBLE), 3.0E0), 100.0E0)], wr_item_qty=[$5], wr_dev=[*(/(/($6, CAST(+(+($3, $1), $5)):DOUBLE), 3.0E0), 100.0E0)], average=[/(CAST(+(+($3, $1), $5)):DECIMAL(19, 0), 3:DECIMAL(1, 0))])
HiveJoin(condition=[=($0, $4)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($2, $0)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(i_item_id=[$0], $f1=[$1])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query84.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query84.q.out
index 23cc2cb99181..a02b370668e8 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query84.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query84.q.out
@@ -12,11 +12,11 @@ HiveProject(customer_id=[$0], customername=[$1])
HiveProject(c_customer_id=[$0], c_current_cdemo_sk=[$1], c_current_hdemo_sk=[$2], c_current_addr_sk=[$3], customername=[$4], ca_address_sk=[$5], hd_demo_sk=[$6], hd_income_band_sk=[$7], ib_income_band_sk=[$8])
HiveJoin(condition=[=($6, $2)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($3, $5)], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(c_customer_id=[$1], c_current_cdemo_sk=[$2], c_current_hdemo_sk=[$3], c_current_addr_sk=[$4], customername=[||(||($9, _UTF-16LE', ':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), $8)])
+ HiveProject(c_customer_id=[$1], c_current_cdemo_sk=[$2], c_current_hdemo_sk=[$3], c_current_addr_sk=[$4], customername=[||(||($9, ', ':VARCHAR(2147483647) CHARACTER SET "UTF-16LE"), $8)])
HiveFilter(condition=[AND(IS NOT NULL($3), IS NOT NULL($2), IS NOT NULL($4))])
HiveTableScan(table=[[default, customer]], table:alias=[customer])
HiveProject(ca_address_sk=[$0])
- HiveFilter(condition=[=($6, _UTF-16LE'Hopewell')])
+ HiveFilter(condition=[=($6, 'Hopewell')])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveProject(hd_demo_sk=[$0], hd_income_band_sk=[$1], ib_income_band_sk=[$2])
HiveJoin(condition=[=($2, $1)], joinType=[inner], algorithm=[none], cost=[not available])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query85.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query85.q.out
index c1814f85a24a..a3c45856a9d8 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query85.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query85.q.out
@@ -6,7 +6,7 @@ HiveProject(_c0=[$0], _c1=[$1], _c2=[$2], _c3=[$3])
HiveJoin(condition=[=($35, $15)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[AND(=($0, $11), =($1, $16), OR(AND($26, $27, $7), AND($28, $29, $8), AND($30, $31, $9)), OR(AND($20, $4), AND($21, $5), AND($22, $6)))], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($3, $10)], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(ws_item_sk=[$2], ws_order_number=[$16], ws_quantity=[$17], ws_sold_date_sk=[$33], EXPR$0=[BETWEEN(false, $32, 100:DECIMAL(12, 2), 200:DECIMAL(12, 2))], EXPR$1=[BETWEEN(false, $32, 150:DECIMAL(12, 2), 300:DECIMAL(12, 2))], EXPR$2=[BETWEEN(false, $32, 50:DECIMAL(12, 2), 250:DECIMAL(12, 2))], EXPR$3=[BETWEEN(false, $20, 100:DECIMAL(3, 0), 150:DECIMAL(3, 0))], EXPR$4=[BETWEEN(false, $20, 50:DECIMAL(3, 0), 100:DECIMAL(3, 0))], EXPR$5=[BETWEEN(false, $20, 150:DECIMAL(3, 0), 200:DECIMAL(3, 0))])
+ HiveProject(ws_item_sk=[$2], ws_order_number=[$16], ws_quantity=[$17], ws_sold_date_sk=[$33], EXPR$0=[BETWEEN(false, $32, 100.00:DECIMAL(12, 2), 200.00:DECIMAL(12, 2))], EXPR$1=[BETWEEN(false, $32, 150.00:DECIMAL(12, 2), 300.00:DECIMAL(12, 2))], EXPR$2=[BETWEEN(false, $32, 50.00:DECIMAL(12, 2), 250.00:DECIMAL(12, 2))], EXPR$3=[BETWEEN(false, $20, 100:DECIMAL(3, 0), 150:DECIMAL(3, 0))], EXPR$4=[BETWEEN(false, $20, 50:DECIMAL(3, 0), 100:DECIMAL(3, 0))], EXPR$5=[BETWEEN(false, $20, 150:DECIMAL(3, 0), 200:DECIMAL(3, 0))])
HiveFilter(condition=[AND(IS NOT NULL($20), IS NOT NULL($11), IS NOT NULL($32), IS NOT NULL($33))])
HiveTableScan(table=[[default, web_sales]], table:alias=[web_sales])
HiveProject(d_date_sk=[$0])
@@ -19,14 +19,14 @@ HiveProject(_c0=[$0], _c1=[$1], _c2=[$2], _c3=[$3])
HiveProject(wr_item_sk=[$1], wr_refunded_cdemo_sk=[$3], wr_refunded_addr_sk=[$5], wr_returning_cdemo_sk=[$7], wr_reason_sk=[$11], wr_order_number=[$12], wr_fee=[$17], wr_refunded_cash=[$19])
HiveFilter(condition=[AND(IS NOT NULL($7), IS NOT NULL($3), IS NOT NULL($11), IS NOT NULL($5))])
HiveTableScan(table=[[default, web_returns]], table:alias=[web_returns])
- HiveProject(ca_address_sk=[$0], EXPR$0=[IN($8, _UTF-16LE'GA', _UTF-16LE'KY', _UTF-16LE'NM')], EXPR$1=[IN($8, _UTF-16LE'IN', _UTF-16LE'MT', _UTF-16LE'OR')], EXPR$2=[IN($8, _UTF-16LE'MO', _UTF-16LE'WI', _UTF-16LE'WV')])
- HiveFilter(condition=[AND(IN($8, _UTF-16LE'GA', _UTF-16LE'IN', _UTF-16LE'KY', _UTF-16LE'MO', _UTF-16LE'MT', _UTF-16LE'NM', _UTF-16LE'OR', _UTF-16LE'WI', _UTF-16LE'WV'), =($10, _UTF-16LE'United States'))])
+ HiveProject(ca_address_sk=[$0], EXPR$0=[IN($8, 'GA', 'KY', 'NM')], EXPR$1=[IN($8, 'IN', 'MT', 'OR')], EXPR$2=[IN($8, 'MO', 'WI', 'WV')])
+ HiveFilter(condition=[AND(IN($8, 'GA', 'IN', 'KY', 'MO', 'MT', 'NM', 'OR', 'WI', 'WV'), =($10, 'United States'))])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
- HiveProject(cd_demo_sk=[$0], cd_marital_status=[$2], cd_education_status=[$3], EXPR$0=[=($2, _UTF-16LE'M')], EXPR$1=[=($3, _UTF-16LE'4 yr Degree')], EXPR$2=[=($2, _UTF-16LE'D')], EXPR$3=[=($3, _UTF-16LE'Primary')], EXPR$4=[=($2, _UTF-16LE'U')], EXPR$5=[=($3, _UTF-16LE'Advanced Degree')])
- HiveFilter(condition=[AND(IN($2, _UTF-16LE'D', _UTF-16LE'M', _UTF-16LE'U'), IN($3, _UTF-16LE'4 yr Degree', _UTF-16LE'Advanced Degree', _UTF-16LE'Primary'))])
+ HiveProject(cd_demo_sk=[$0], cd_marital_status=[$2], cd_education_status=[$3], EXPR$0=[=($2, 'M')], EXPR$1=[=($3, '4 yr Degree ')], EXPR$2=[=($2, 'D')], EXPR$3=[=($3, 'Primary ')], EXPR$4=[=($2, 'U')], EXPR$5=[=($3, 'Advanced Degree ')])
+ HiveFilter(condition=[AND(IN($2, 'D', 'M', 'U'), IN($3, '4 yr Degree ', 'Advanced Degree ', 'Primary '))])
HiveTableScan(table=[[default, customer_demographics]], table:alias=[cd1])
HiveProject(cd_demo_sk=[$0], cd_marital_status=[$2], cd_education_status=[$3])
- HiveFilter(condition=[AND(IN($2, _UTF-16LE'D', _UTF-16LE'M', _UTF-16LE'U'), IN($3, _UTF-16LE'4 yr Degree', _UTF-16LE'Advanced Degree', _UTF-16LE'Primary'))])
+ HiveFilter(condition=[AND(IN($2, 'D', 'M', 'U'), IN($3, '4 yr Degree ', 'Advanced Degree ', 'Primary '))])
HiveTableScan(table=[[default, customer_demographics]], table:alias=[cd2])
HiveProject(r_reason_sk=[$0], r_reason_desc=[$2])
HiveTableScan(table=[[default, reason]], table:alias=[reason])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query88.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query88.q.out
index b7dddd27623c..d925d7e9efca 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query88.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query88.q.out
@@ -29,7 +29,7 @@ HiveProject(s1.h8_30_to_9=[$0], s2.h9_to_9_30=[$7], s3.h9_30_to_10=[$6], s4.h10_
HiveFilter(condition=[AND(<=($4, 5), IN($3, 0, 1, 3), OR(AND(=($3, 3), IS NOT NULL($4)), AND(=($3, 0), <=($4, 2)), AND(=($3, 1), <=($4, 3))))])
HiveTableScan(table=[[default, household_demographics]], table:alias=[household_demographics])
HiveProject(s_store_sk=[$0])
- HiveFilter(condition=[=($5, _UTF-16LE'ese')])
+ HiveFilter(condition=[=($5, 'ese')])
HiveTableScan(table=[[default, store]], table:alias=[store])
HiveProject($f0=[$0])
HiveAggregate(group=[{}], agg#0=[count()])
@@ -46,7 +46,7 @@ HiveProject(s1.h8_30_to_9=[$0], s2.h9_to_9_30=[$7], s3.h9_30_to_10=[$6], s4.h10_
HiveFilter(condition=[AND(<=($4, 5), IN($3, 0, 1, 3), OR(AND(=($3, 3), IS NOT NULL($4)), AND(=($3, 0), <=($4, 2)), AND(=($3, 1), <=($4, 3))))])
HiveTableScan(table=[[default, household_demographics]], table:alias=[household_demographics])
HiveProject(s_store_sk=[$0])
- HiveFilter(condition=[=($5, _UTF-16LE'ese')])
+ HiveFilter(condition=[=($5, 'ese')])
HiveTableScan(table=[[default, store]], table:alias=[store])
HiveProject($f0=[$0])
HiveAggregate(group=[{}], agg#0=[count()])
@@ -63,7 +63,7 @@ HiveProject(s1.h8_30_to_9=[$0], s2.h9_to_9_30=[$7], s3.h9_30_to_10=[$6], s4.h10_
HiveFilter(condition=[AND(<=($4, 5), IN($3, 0, 1, 3), OR(AND(=($3, 3), IS NOT NULL($4)), AND(=($3, 0), <=($4, 2)), AND(=($3, 1), <=($4, 3))))])
HiveTableScan(table=[[default, household_demographics]], table:alias=[household_demographics])
HiveProject(s_store_sk=[$0])
- HiveFilter(condition=[=($5, _UTF-16LE'ese')])
+ HiveFilter(condition=[=($5, 'ese')])
HiveTableScan(table=[[default, store]], table:alias=[store])
HiveProject($f0=[$0])
HiveAggregate(group=[{}], agg#0=[count()])
@@ -80,7 +80,7 @@ HiveProject(s1.h8_30_to_9=[$0], s2.h9_to_9_30=[$7], s3.h9_30_to_10=[$6], s4.h10_
HiveFilter(condition=[AND(<=($4, 5), IN($3, 0, 1, 3), OR(AND(=($3, 3), IS NOT NULL($4)), AND(=($3, 0), <=($4, 2)), AND(=($3, 1), <=($4, 3))))])
HiveTableScan(table=[[default, household_demographics]], table:alias=[household_demographics])
HiveProject(s_store_sk=[$0])
- HiveFilter(condition=[=($5, _UTF-16LE'ese')])
+ HiveFilter(condition=[=($5, 'ese')])
HiveTableScan(table=[[default, store]], table:alias=[store])
HiveProject($f0=[$0])
HiveAggregate(group=[{}], agg#0=[count()])
@@ -97,7 +97,7 @@ HiveProject(s1.h8_30_to_9=[$0], s2.h9_to_9_30=[$7], s3.h9_30_to_10=[$6], s4.h10_
HiveFilter(condition=[AND(<=($4, 5), IN($3, 0, 1, 3), OR(AND(=($3, 3), IS NOT NULL($4)), AND(=($3, 0), <=($4, 2)), AND(=($3, 1), <=($4, 3))))])
HiveTableScan(table=[[default, household_demographics]], table:alias=[household_demographics])
HiveProject(s_store_sk=[$0])
- HiveFilter(condition=[=($5, _UTF-16LE'ese')])
+ HiveFilter(condition=[=($5, 'ese')])
HiveTableScan(table=[[default, store]], table:alias=[store])
HiveProject($f0=[$0])
HiveAggregate(group=[{}], agg#0=[count()])
@@ -114,7 +114,7 @@ HiveProject(s1.h8_30_to_9=[$0], s2.h9_to_9_30=[$7], s3.h9_30_to_10=[$6], s4.h10_
HiveFilter(condition=[AND(<=($4, 5), IN($3, 0, 1, 3), OR(AND(=($3, 3), IS NOT NULL($4)), AND(=($3, 0), <=($4, 2)), AND(=($3, 1), <=($4, 3))))])
HiveTableScan(table=[[default, household_demographics]], table:alias=[household_demographics])
HiveProject(s_store_sk=[$0])
- HiveFilter(condition=[=($5, _UTF-16LE'ese')])
+ HiveFilter(condition=[=($5, 'ese')])
HiveTableScan(table=[[default, store]], table:alias=[store])
HiveProject($f0=[$0])
HiveAggregate(group=[{}], agg#0=[count()])
@@ -131,7 +131,7 @@ HiveProject(s1.h8_30_to_9=[$0], s2.h9_to_9_30=[$7], s3.h9_30_to_10=[$6], s4.h10_
HiveFilter(condition=[AND(<=($4, 5), IN($3, 0, 1, 3), OR(AND(=($3, 3), IS NOT NULL($4)), AND(=($3, 0), <=($4, 2)), AND(=($3, 1), <=($4, 3))))])
HiveTableScan(table=[[default, household_demographics]], table:alias=[household_demographics])
HiveProject(s_store_sk=[$0])
- HiveFilter(condition=[=($5, _UTF-16LE'ese')])
+ HiveFilter(condition=[=($5, 'ese')])
HiveTableScan(table=[[default, store]], table:alias=[store])
HiveProject($f0=[$0])
HiveAggregate(group=[{}], agg#0=[count()])
@@ -148,6 +148,6 @@ HiveProject(s1.h8_30_to_9=[$0], s2.h9_to_9_30=[$7], s3.h9_30_to_10=[$6], s4.h10_
HiveFilter(condition=[AND(<=($4, 5), IN($3, 0, 1, 3), OR(AND(=($3, 3), IS NOT NULL($4)), AND(=($3, 0), <=($4, 2)), AND(=($3, 1), <=($4, 3))))])
HiveTableScan(table=[[default, household_demographics]], table:alias=[household_demographics])
HiveProject(s_store_sk=[$0])
- HiveFilter(condition=[=($5, _UTF-16LE'ese')])
+ HiveFilter(condition=[=($5, 'ese')])
HiveTableScan(table=[[default, store]], table:alias=[store])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query89.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query89.q.out
index 4fd3daa1f1ed..b03cc014389b 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query89.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query89.q.out
@@ -13,7 +13,7 @@ HiveProject(tmp1.i_category=[$0], tmp1.i_class=[$1], tmp1.i_brand=[$2], tmp1.s_s
HiveFilter(condition=[AND(IS NOT NULL($6), IS NOT NULL($22))])
HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
HiveProject(i_item_sk=[$0], i_brand=[$8], i_class=[$10], i_category=[$12])
- HiveFilter(condition=[AND(IN($10, _UTF-16LE'birdal', _UTF-16LE'musical', _UTF-16LE'pants', _UTF-16LE'parenting', _UTF-16LE'wallpaper', _UTF-16LE'womens'), IN($12, _UTF-16LE'Books', _UTF-16LE'Electronics', _UTF-16LE'Home', _UTF-16LE'Jewelry', _UTF-16LE'Men', _UTF-16LE'Shoes'), OR(AND(IN($12, _UTF-16LE'Books', _UTF-16LE'Electronics', _UTF-16LE'Home'), IN($10, _UTF-16LE'musical', _UTF-16LE'parenting', _UTF-16LE'wallpaper')), AND(IN($12, _UTF-16LE'Jewelry', _UTF-16LE'Men', _UTF-16LE'Shoes'), IN($10, _UTF-16LE'birdal', _UTF-16LE'pants', _UTF-16LE'womens'))))])
+ HiveFilter(condition=[AND(IN($10, 'birdal ', 'musical ', 'pants ', 'parenting ', 'wallpaper ', 'womens '), IN($12, 'Books ', 'Electronics ', 'Home ', 'Jewelry ', 'Men ', 'Shoes '), OR(AND(IN($12, 'Books ', 'Electronics ', 'Home '), IN($10, 'musical ', 'parenting ', 'wallpaper ')), AND(IN($12, 'Jewelry ', 'Men ', 'Shoes '), IN($10, 'birdal ', 'pants ', 'womens '))))])
HiveTableScan(table=[[default, item]], table:alias=[item])
HiveProject(d_date_sk=[$0], d_moy=[$8])
HiveFilter(condition=[=($6, 2000)])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query91.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query91.q.out
index 8a70a2068f52..542cc0595cfd 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query91.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query91.q.out
@@ -23,10 +23,10 @@ HiveProject(call_center=[$0], call_center_name=[$1], manager=[$2], returns_loss=
HiveFilter(condition=[AND(IS NOT NULL($3), IS NOT NULL($2), IS NOT NULL($4))])
HiveTableScan(table=[[default, customer]], table:alias=[customer])
HiveProject(cd_demo_sk=[$0], cd_marital_status=[$2], cd_education_status=[$3])
- HiveFilter(condition=[AND(IN($2, _UTF-16LE'M', _UTF-16LE'W'), IN($3, _UTF-16LE'Advanced Degree', _UTF-16LE'Unknown'), IN(ROW($2, $3), ROW(_UTF-16LE'M', _UTF-16LE'Unknown '), ROW(_UTF-16LE'W', _UTF-16LE'Advanced Degree ')))])
+ HiveFilter(condition=[AND(IN($2, 'M', 'W'), IN($3, 'Advanced Degree ', 'Unknown '), IN(ROW($2, $3), ROW('M', 'Unknown '), ROW('W', 'Advanced Degree ')))])
HiveTableScan(table=[[default, customer_demographics]], table:alias=[customer_demographics])
HiveProject(hd_demo_sk=[$0])
- HiveFilter(condition=[LIKE($2, _UTF-16LE'0-500%':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")])
+ HiveFilter(condition=[LIKE($2, '0-500%':VARCHAR(2147483647) CHARACTER SET "UTF-16LE")])
HiveTableScan(table=[[default, household_demographics]], table:alias=[household_demographics])
HiveProject(cc_call_center_sk=[$0], cc_call_center_id=[$1], cc_name=[$6], cc_manager=[$11])
HiveTableScan(table=[[default, call_center]], table:alias=[call_center])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query93.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query93.q.out
index b84f16e73260..2cce6b0cb9e0 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query93.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query93.q.out
@@ -11,6 +11,6 @@ HiveSortLimit(sort0=[$1], sort1=[$0], dir0=[ASC], dir1=[ASC], fetch=[100])
HiveFilter(condition=[IS NOT NULL($7)])
HiveTableScan(table=[[default, store_returns]], table:alias=[store_returns])
HiveProject(r_reason_sk=[$0])
- HiveFilter(condition=[=($2, _UTF-16LE'Did not like the warranty ')])
+ HiveFilter(condition=[=($2, 'Did not like the warranty ')])
HiveTableScan(table=[[default, reason]], table:alias=[reason])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query94.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query94.q.out
index 5f14c7b74791..db2b77e06306 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query94.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query94.q.out
@@ -6,8 +6,8 @@ HiveProject(order count=[$0], total shipping cost=[$1], total net profit=[$2])
HiveProject(ws_ship_date_sk=[$2], ws_ship_addr_sk=[$3], ws_web_site_sk=[$4], ws_warehouse_sk=[$5], ws_order_number=[$6], ws_ext_ship_cost=[$7], ws_net_profit=[$8], d_date_sk=[$9], d_date=[$10], ca_address_sk=[$0], ca_state=[$1], web_site_sk=[$11], web_company_name=[$12])
HiveJoin(condition=[=($4, $11)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($3, $0)], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(ca_address_sk=[$0], ca_state=[CAST(_UTF-16LE'TX'):CHAR(2) CHARACTER SET "UTF-16LE"])
- HiveFilter(condition=[=($8, _UTF-16LE'TX')])
+ HiveProject(ca_address_sk=[$0], ca_state=[CAST('TX'):CHAR(2) CHARACTER SET "UTF-16LE"])
+ HiveFilter(condition=[=($8, 'TX')])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveJoin(condition=[=($0, $7)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(ws_ship_date_sk=[$1], ws_ship_addr_sk=[$10], ws_web_site_sk=[$12], ws_warehouse_sk=[$14], ws_order_number=[$16], ws_ext_ship_cost=[$27], ws_net_profit=[$32])
@@ -16,8 +16,8 @@ HiveProject(order count=[$0], total shipping cost=[$1], total net profit=[$2])
HiveProject(d_date_sk=[$0], d_date=[$2])
HiveFilter(condition=[BETWEEN(false, CAST($2):TIMESTAMP(9), 1999-05-01 00:00:00:TIMESTAMP(9), 1999-06-30 00:00:00:TIMESTAMP(9))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
- HiveProject(web_site_sk=[$0], web_company_name=[CAST(_UTF-16LE'pri '):CHAR(50) CHARACTER SET "UTF-16LE"])
- HiveFilter(condition=[=($14, _UTF-16LE'pri ')])
+ HiveProject(web_site_sk=[$0], web_company_name=[CAST('pri '):CHAR(50) CHARACTER SET "UTF-16LE"])
+ HiveFilter(condition=[=($14, 'pri ')])
HiveTableScan(table=[[default, web_site]], table:alias=[web_site])
HiveProject(ws_warehouse_sk=[$14], ws_order_number=[$16])
HiveFilter(condition=[IS NOT NULL($14)])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query95.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query95.q.out
index 57eaa4112026..ade0c5d94067 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query95.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query95.q.out
@@ -6,8 +6,8 @@ HiveProject(order count=[$0], total shipping cost=[$1], total net profit=[$2])
HiveProject(ws_ship_date_sk=[$2], ws_ship_addr_sk=[$3], ws_web_site_sk=[$4], ws_order_number=[$5], ws_ext_ship_cost=[$6], ws_net_profit=[$7], d_date_sk=[$8], d_date=[$9], ca_address_sk=[$0], ca_state=[$1], web_site_sk=[$10], web_company_name=[$11])
HiveJoin(condition=[=($4, $10)], joinType=[inner], algorithm=[none], cost=[not available])
HiveJoin(condition=[=($3, $0)], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(ca_address_sk=[$0], ca_state=[CAST(_UTF-16LE'TX'):CHAR(2) CHARACTER SET "UTF-16LE"])
- HiveFilter(condition=[=($8, _UTF-16LE'TX')])
+ HiveProject(ca_address_sk=[$0], ca_state=[CAST('TX'):CHAR(2) CHARACTER SET "UTF-16LE"])
+ HiveFilter(condition=[=($8, 'TX')])
HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveJoin(condition=[=($0, $6)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(ws_ship_date_sk=[$1], ws_ship_addr_sk=[$10], ws_web_site_sk=[$12], ws_order_number=[$16], ws_ext_ship_cost=[$27], ws_net_profit=[$32])
@@ -16,8 +16,8 @@ HiveProject(order count=[$0], total shipping cost=[$1], total net profit=[$2])
HiveProject(d_date_sk=[$0], d_date=[$2])
HiveFilter(condition=[BETWEEN(false, CAST($2):TIMESTAMP(9), 1999-05-01 00:00:00:TIMESTAMP(9), 1999-06-30 00:00:00:TIMESTAMP(9))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
- HiveProject(web_site_sk=[$0], web_company_name=[CAST(_UTF-16LE'pri '):CHAR(50) CHARACTER SET "UTF-16LE"])
- HiveFilter(condition=[=($14, _UTF-16LE'pri ')])
+ HiveProject(web_site_sk=[$0], web_company_name=[CAST('pri '):CHAR(50) CHARACTER SET "UTF-16LE"])
+ HiveFilter(condition=[=($14, 'pri ')])
HiveTableScan(table=[[default, web_site]], table:alias=[web_site])
HiveProject(ws_order_number=[$1])
HiveJoin(condition=[AND(=($1, $3), <>($0, $2))], joinType=[inner], algorithm=[none], cost=[not available])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query96.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query96.q.out
index a244bc3bc7bf..0a84ef02bf84 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query96.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query96.q.out
@@ -11,7 +11,7 @@ HiveProject(_c0=[$0])
HiveFilter(condition=[AND(=($3, 8), >=($4, 30))])
HiveTableScan(table=[[default, time_dim]], table:alias=[time_dim])
HiveProject(s_store_sk=[$0])
- HiveFilter(condition=[=($5, _UTF-16LE'ese')])
+ HiveFilter(condition=[=($5, 'ese')])
HiveTableScan(table=[[default, store]], table:alias=[store])
HiveProject(hd_demo_sk=[$0])
HiveFilter(condition=[=($3, 5)])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query98.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query98.q.out
index e6db70d26a68..bd654be79656 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query98.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/cbo_query98.q.out
@@ -12,6 +12,6 @@ HiveProject(i_item_desc=[$0], i_category=[$1], i_class=[$2], i_current_price=[$3
HiveFilter(condition=[BETWEEN(false, CAST($2):TIMESTAMP(9), 2001-01-12 00:00:00:TIMESTAMP(9), 2001-02-11 00:00:00:TIMESTAMP(9))])
HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
HiveProject(i_item_sk=[$0], i_item_id=[$1], i_item_desc=[$4], i_current_price=[$5], i_class=[$10], i_category=[$12])
- HiveFilter(condition=[IN($12, _UTF-16LE'Books', _UTF-16LE'Jewelry', _UTF-16LE'Sports')])
+ HiveFilter(condition=[IN($12, 'Books ', 'Jewelry ', 'Sports ')])
HiveTableScan(table=[[default, item]], table:alias=[item])
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/query15.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/query15.q.out
index 771fbbaf8173..4619c17a33cb 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/query15.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/query15.q.out
@@ -42,7 +42,7 @@ STAGE PLANS:
alias: customer_address
Statistics: Num rows: 40000000 Data size: 7320000000 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
- expressions: ca_address_sk (type: bigint), ca_zip (type: char(10)), (ca_state) IN ('CA', 'GA', 'WA') (type: boolean), (substr(ca_zip, 1, 5)) IN ('85669', '86197', '88274', '83405', '86475', '85392', '85460', '80348', '81792') (type: boolean)
+ expressions: ca_address_sk (type: bigint), ca_zip (type: char(10)), (substr(ca_zip, 1, 5)) IN ('80348', '81792', '83405', '85392', '85460', '85669', '86197', '86475', '88274') (type: boolean), (ca_state) IN ('CA', 'GA', 'WA') (type: boolean)
outputColumnNames: _col0, _col1, _col2, _col3
Statistics: Num rows: 40000000 Data size: 4200000000 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
@@ -159,7 +159,7 @@ STAGE PLANS:
Statistics: Num rows: 2146106610 Data size: 445233418138 Basic stats: COMPLETE Column stats: COMPLETE
DynamicPartitionHashJoin: true
Filter Operator
- predicate: (_col4 or _col9 or _col5) (type: boolean)
+ predicate: (_col4 or _col5 or _col9) (type: boolean)
Statistics: Num rows: 2146106610 Data size: 445233418138 Basic stats: COMPLETE Column stats: COMPLETE
Top N Key Operator
sort order: +
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/query45.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/query45.q.out
index 90e29e7317d7..659fae55e736 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/query45.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/query45.q.out
@@ -249,7 +249,7 @@ STAGE PLANS:
outputColumnNames: _col2, _col7, _col8, _col15
Statistics: Num rows: 1087859571 Data size: 329317176033 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: (_col15 is not null or (substr(_col8, 1, 5)) IN ('85669', '86197', '88274', '83405', '86475', '85392', '85460', '80348', '81792')) (type: boolean)
+ predicate: (_col15 is not null or (substr(_col8, 1, 5)) IN ('80348', '81792', '83405', '85392', '85460', '85669', '86197', '86475', '88274')) (type: boolean)
Statistics: Num rows: 1087859571 Data size: 329317176033 Basic stats: COMPLETE Column stats: COMPLETE
Top N Key Operator
sort order: ++
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/query6.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/query6.q.out
index 3aaa8ab05d5d..a7c62f23caae 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/query6.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/query6.q.out
@@ -274,7 +274,7 @@ STAGE PLANS:
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 11 Data size: 2310 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: CAST( CAST( (_col1 / _col2) AS decimal(11,6)) AS decimal(16,6)) is not null (type: boolean)
+ predicate: CAST( (_col1 / _col2) AS decimal(11,6)) is not null (type: boolean)
Statistics: Num rows: 11 Data size: 2310 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col0 (type: char(50)), (1.2 * CAST( CAST( (_col1 / _col2) AS decimal(11,6)) AS decimal(16,6))) (type: decimal(14,7))
diff --git a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/query67.q.out b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/query67.q.out
index 4d0da1c88eb5..96320298c78d 100644
--- a/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/query67.q.out
+++ b/ql/src/test/results/clientpositive/perf/tpcds30tb/tez/query67.q.out
@@ -25,7 +25,7 @@ STAGE PLANS:
predicate: ss_store_sk is not null (type: boolean)
Statistics: Num rows: 80569240632 Data size: 11044454229024 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
- expressions: ss_item_sk (type: bigint), ss_store_sk (type: bigint), ss_sold_date_sk (type: bigint), if((ss_sales_price is not null and CAST( ss_quantity AS decimal(10,0)) is not null), (ss_sales_price * CAST( ss_quantity AS decimal(10,0))), 0) (type: decimal(18,2))
+ expressions: ss_item_sk (type: bigint), ss_store_sk (type: bigint), ss_sold_date_sk (type: bigint), if((ss_sales_price is not null and ss_quantity is not null), (ss_sales_price * CAST( ss_quantity AS decimal(10,0))), 0) (type: decimal(18,2))
outputColumnNames: _col0, _col1, _col2, _col3
Statistics: Num rows: 80569240632 Data size: 10942249135488 Basic stats: COMPLETE Column stats: COMPLETE
Map Join Operator
diff --git a/ql/src/test/results/clientpositive/skewjoinopt18.q.out b/ql/src/test/results/clientpositive/skewjoinopt18.q.out
index 22e98c4e86df..d44d8e2acf04 100644
--- a/ql/src/test/results/clientpositive/skewjoinopt18.q.out
+++ b/ql/src/test/results/clientpositive/skewjoinopt18.q.out
@@ -72,10 +72,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: a
- filterExpr: UDFToDouble(key) is not null (type: boolean)
+ filterExpr: key is not null (type: boolean)
Statistics: Num rows: 6 Data size: 540 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: UDFToDouble(key) is not null (type: boolean)
+ predicate: key is not null (type: boolean)
Statistics: Num rows: 6 Data size: 540 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: key (type: int), val (type: string), UDFToDouble(key) (type: double)