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QueryPlanSerde.scala
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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
package org.apache.comet.serde
import scala.collection.JavaConverters._
import org.apache.spark.internal.Logging
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.catalyst.expressions.aggregate.{AggregateExpression, Average, BitAndAgg, BitOrAgg, BitXorAgg, BloomFilterAggregate, Complete, Corr, Count, CovPopulation, CovSample, Final, First, Last, Max, Min, Partial, StddevPop, StddevSamp, Sum, VariancePop, VarianceSamp}
import org.apache.spark.sql.catalyst.expressions.objects.StaticInvoke
import org.apache.spark.sql.catalyst.optimizer.{BuildLeft, BuildRight, NormalizeNaNAndZero}
import org.apache.spark.sql.catalyst.plans._
import org.apache.spark.sql.catalyst.plans.physical.{HashPartitioning, Partitioning, RangePartitioning, RoundRobinPartitioning, SinglePartition}
import org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils
import org.apache.spark.sql.comet.{CometBroadcastExchangeExec, CometScanExec, CometSinkPlaceHolder, CometSparkToColumnarExec, DecimalPrecision}
import org.apache.spark.sql.comet.execution.shuffle.CometShuffleExchangeExec
import org.apache.spark.sql.execution
import org.apache.spark.sql.execution._
import org.apache.spark.sql.execution.adaptive.{BroadcastQueryStageExec, ShuffleQueryStageExec}
import org.apache.spark.sql.execution.aggregate.{BaseAggregateExec, HashAggregateExec, ObjectHashAggregateExec}
import org.apache.spark.sql.execution.datasources.{FilePartition, FileScanRDD}
import org.apache.spark.sql.execution.datasources.v2.{DataSourceRDD, DataSourceRDDPartition}
import org.apache.spark.sql.execution.exchange.{BroadcastExchangeExec, ReusedExchangeExec, ShuffleExchangeExec}
import org.apache.spark.sql.execution.joins.{BroadcastHashJoinExec, HashJoin, ShuffledHashJoinExec, SortMergeJoinExec}
import org.apache.spark.sql.execution.window.WindowExec
import org.apache.spark.sql.internal.SQLConf
import org.apache.spark.sql.types._
import org.apache.spark.unsafe.types.UTF8String
import org.apache.comet.CometConf
import org.apache.comet.CometSparkSessionExtensions.{isCometScan, isSpark34Plus, withInfo}
import org.apache.comet.expressions.{CometCast, CometEvalMode, Compatible, Incompatible, RegExp, Unsupported}
import org.apache.comet.serde.ExprOuterClass.{AggExpr, DataType => ProtoDataType, Expr, ScalarFunc}
import org.apache.comet.serde.ExprOuterClass.DataType.{DataTypeInfo, DecimalInfo, ListInfo, MapInfo, StructInfo}
import org.apache.comet.serde.OperatorOuterClass.{AggregateMode => CometAggregateMode, BuildSide, JoinType, Operator}
import org.apache.comet.shims.CometExprShim
import org.apache.comet.shims.ShimQueryPlanSerde
/**
* An utility object for query plan and expression serialization.
*/
object QueryPlanSerde extends Logging with ShimQueryPlanSerde with CometExprShim {
def emitWarning(reason: String): Unit = {
logWarning(s"Comet native execution is disabled due to: $reason")
}
def supportedDataType(dt: DataType, allowStruct: Boolean = false): Boolean = dt match {
case _: ByteType | _: ShortType | _: IntegerType | _: LongType | _: FloatType |
_: DoubleType | _: StringType | _: BinaryType | _: TimestampType | _: DecimalType |
_: DateType | _: BooleanType | _: NullType =>
true
case dt if isTimestampNTZType(dt) => true
case s: StructType if allowStruct =>
s.fields.map(_.dataType).forall(supportedDataType(_, allowStruct))
case dt =>
emitWarning(s"unsupported Spark data type: $dt")
false
}
/**
* Serializes Spark datatype to protobuf. Note that, a datatype can be serialized by this method
* doesn't mean it is supported by Comet native execution, i.e., `supportedDataType` may return
* false for it.
*/
def serializeDataType(dt: DataType): Option[ExprOuterClass.DataType] = {
val typeId = dt match {
case _: BooleanType => 0
case _: ByteType => 1
case _: ShortType => 2
case _: IntegerType => 3
case _: LongType => 4
case _: FloatType => 5
case _: DoubleType => 6
case _: StringType => 7
case _: BinaryType => 8
case _: TimestampType => 9
case _: DecimalType => 10
case dt if isTimestampNTZType(dt) => 11
case _: DateType => 12
case _: NullType => 13
case _: ArrayType => 14
case _: MapType => 15
case _: StructType => 16
case dt =>
emitWarning(s"Cannot serialize Spark data type: $dt")
return None
}
val builder = ProtoDataType.newBuilder()
builder.setTypeIdValue(typeId)
// Decimal
val dataType = dt match {
case t: DecimalType =>
val info = DataTypeInfo.newBuilder()
val decimal = DecimalInfo.newBuilder()
decimal.setPrecision(t.precision)
decimal.setScale(t.scale)
info.setDecimal(decimal)
builder.setTypeInfo(info.build()).build()
case a: ArrayType =>
val elementType = serializeDataType(a.elementType)
if (elementType.isEmpty) {
return None
}
val info = DataTypeInfo.newBuilder()
val list = ListInfo.newBuilder()
list.setElementType(elementType.get)
list.setContainsNull(a.containsNull)
info.setList(list)
builder.setTypeInfo(info.build()).build()
case m: MapType =>
val keyType = serializeDataType(m.keyType)
if (keyType.isEmpty) {
return None
}
val valueType = serializeDataType(m.valueType)
if (valueType.isEmpty) {
return None
}
val info = DataTypeInfo.newBuilder()
val map = MapInfo.newBuilder()
map.setKeyType(keyType.get)
map.setValueType(valueType.get)
map.setValueContainsNull(m.valueContainsNull)
info.setMap(map)
builder.setTypeInfo(info.build()).build()
case s: StructType =>
val info = DataTypeInfo.newBuilder()
val struct = StructInfo.newBuilder()
val fieldNames = s.fields.map(_.name).toIterable.asJava
val fieldDatatypes = s.fields.map(f => serializeDataType(f.dataType)).toSeq
val fieldNullable = s.fields.map(f => Boolean.box(f.nullable)).toIterable.asJava
if (fieldDatatypes.exists(_.isEmpty)) {
return None
}
struct.addAllFieldNames(fieldNames)
struct.addAllFieldDatatypes(fieldDatatypes.map(_.get).asJava)
struct.addAllFieldNullable(fieldNullable)
info.setStruct(struct)
builder.setTypeInfo(info.build()).build()
case _ => builder.build()
}
Some(dataType)
}
private def sumDataTypeSupported(dt: DataType): Boolean = {
dt match {
case _: NumericType => true
case _ => false
}
}
private def avgDataTypeSupported(dt: DataType): Boolean = {
dt match {
case _: NumericType => true
// TODO: implement support for interval types
case _ => false
}
}
private def minMaxDataTypeSupported(dt: DataType): Boolean = {
dt match {
case _: NumericType | DateType | TimestampType | BooleanType => true
case _ => false
}
}
private def bitwiseAggTypeSupported(dt: DataType): Boolean = {
dt match {
case _: IntegerType | LongType | ShortType | ByteType => true
case _ => false
}
}
def windowExprToProto(
windowExpr: WindowExpression,
output: Seq[Attribute],
conf: SQLConf): Option[OperatorOuterClass.WindowExpr] = {
val aggregateExpressions: Array[AggregateExpression] = windowExpr.flatMap { expr =>
expr match {
case agg: AggregateExpression =>
agg.aggregateFunction match {
case _: Count =>
Some(agg)
case min: Min =>
if (minMaxDataTypeSupported(min.dataType)) {
Some(agg)
} else {
withInfo(windowExpr, s"datatype ${min.dataType} is not supported", expr)
None
}
case max: Max =>
if (minMaxDataTypeSupported(max.dataType)) {
Some(agg)
} else {
withInfo(windowExpr, s"datatype ${max.dataType} is not supported", expr)
None
}
case s: Sum =>
if (sumDataTypeSupported(s.dataType) && !s.dataType.isInstanceOf[DecimalType]) {
Some(agg)
} else {
withInfo(windowExpr, s"datatype ${s.dataType} is not supported", expr)
None
}
case _ =>
withInfo(
windowExpr,
s"aggregate ${agg.aggregateFunction}" +
" is not supported for window function",
expr)
None
}
case _ =>
None
}
}.toArray
val (aggExpr, builtinFunc) = if (aggregateExpressions.nonEmpty) {
val modes = aggregateExpressions.map(_.mode).distinct
assert(modes.size == 1 && modes.head == Complete)
(aggExprToProto(aggregateExpressions.head, output, true, conf), None)
} else {
(None, exprToProto(windowExpr.windowFunction, output))
}
if (aggExpr.isEmpty && builtinFunc.isEmpty) {
return None
}
val f = windowExpr.windowSpec.frameSpecification
val (frameType, lowerBound, upperBound) = f match {
case SpecifiedWindowFrame(frameType, lBound, uBound) =>
val frameProto = frameType match {
case RowFrame => OperatorOuterClass.WindowFrameType.Rows
case RangeFrame => OperatorOuterClass.WindowFrameType.Range
}
val lBoundProto = lBound match {
case UnboundedPreceding =>
OperatorOuterClass.LowerWindowFrameBound
.newBuilder()
.setUnboundedPreceding(OperatorOuterClass.UnboundedPreceding.newBuilder().build())
.build()
case CurrentRow =>
OperatorOuterClass.LowerWindowFrameBound
.newBuilder()
.setCurrentRow(OperatorOuterClass.CurrentRow.newBuilder().build())
.build()
case e =>
val offset = e.eval() match {
case i: Integer => i.toLong
case l: Long => l
case _ => return None
}
OperatorOuterClass.LowerWindowFrameBound
.newBuilder()
.setPreceding(
OperatorOuterClass.Preceding
.newBuilder()
.setOffset(offset)
.build())
.build()
}
val uBoundProto = uBound match {
case UnboundedFollowing =>
OperatorOuterClass.UpperWindowFrameBound
.newBuilder()
.setUnboundedFollowing(OperatorOuterClass.UnboundedFollowing.newBuilder().build())
.build()
case CurrentRow =>
OperatorOuterClass.UpperWindowFrameBound
.newBuilder()
.setCurrentRow(OperatorOuterClass.CurrentRow.newBuilder().build())
.build()
case e =>
val offset = e.eval() match {
case i: Integer => i.toLong
case l: Long => l
case _ => return None
}
OperatorOuterClass.UpperWindowFrameBound
.newBuilder()
.setFollowing(
OperatorOuterClass.Following
.newBuilder()
.setOffset(offset)
.build())
.build()
}
(frameProto, lBoundProto, uBoundProto)
case _ =>
(
OperatorOuterClass.WindowFrameType.Rows,
OperatorOuterClass.LowerWindowFrameBound
.newBuilder()
.setUnboundedPreceding(OperatorOuterClass.UnboundedPreceding.newBuilder().build())
.build(),
OperatorOuterClass.UpperWindowFrameBound
.newBuilder()
.setUnboundedFollowing(OperatorOuterClass.UnboundedFollowing.newBuilder().build())
.build())
}
val frame = OperatorOuterClass.WindowFrame
.newBuilder()
.setFrameType(frameType)
.setLowerBound(lowerBound)
.setUpperBound(upperBound)
.build()
val spec =
OperatorOuterClass.WindowSpecDefinition.newBuilder().setFrameSpecification(frame).build()
if (builtinFunc.isDefined) {
Some(
OperatorOuterClass.WindowExpr
.newBuilder()
.setBuiltInWindowFunction(builtinFunc.get)
.setSpec(spec)
.build())
} else if (aggExpr.isDefined) {
Some(
OperatorOuterClass.WindowExpr
.newBuilder()
.setAggFunc(aggExpr.get)
.setSpec(spec)
.build())
} else {
None
}
}
def aggExprToProto(
aggExpr: AggregateExpression,
inputs: Seq[Attribute],
binding: Boolean,
conf: SQLConf): Option[AggExpr] = {
if (aggExpr.isDistinct) {
// https://github.com/apache/datafusion-comet/issues/1260
withInfo(aggExpr, "distinct aggregates are not supported")
return None
}
aggExpr.aggregateFunction match {
case s @ Sum(child, _) if sumDataTypeSupported(s.dataType) && isLegacyMode(s) =>
val childExpr = exprToProto(child, inputs, binding)
val dataType = serializeDataType(s.dataType)
if (childExpr.isDefined && dataType.isDefined) {
val sumBuilder = ExprOuterClass.Sum.newBuilder()
sumBuilder.setChild(childExpr.get)
sumBuilder.setDatatype(dataType.get)
sumBuilder.setFailOnError(getFailOnError(s))
Some(
ExprOuterClass.AggExpr
.newBuilder()
.setSum(sumBuilder)
.build())
} else {
if (dataType.isEmpty) {
withInfo(aggExpr, s"datatype ${s.dataType} is not supported", child)
} else {
withInfo(aggExpr, child)
}
None
}
case s @ Average(child, _) if avgDataTypeSupported(s.dataType) && isLegacyMode(s) =>
val childExpr = exprToProto(child, inputs, binding)
val dataType = serializeDataType(s.dataType)
val sumDataType = if (child.dataType.isInstanceOf[DecimalType]) {
// This is input precision + 10 to be consistent with Spark
val precision = Math.min(
DecimalType.MAX_PRECISION,
child.dataType.asInstanceOf[DecimalType].precision + 10)
val newType =
DecimalType.apply(precision, child.dataType.asInstanceOf[DecimalType].scale)
serializeDataType(newType)
} else {
serializeDataType(child.dataType)
}
if (childExpr.isDefined && dataType.isDefined) {
val builder = ExprOuterClass.Avg.newBuilder()
builder.setChild(childExpr.get)
builder.setDatatype(dataType.get)
builder.setFailOnError(getFailOnError(s))
builder.setSumDatatype(sumDataType.get)
Some(
ExprOuterClass.AggExpr
.newBuilder()
.setAvg(builder)
.build())
} else if (dataType.isEmpty) {
withInfo(aggExpr, s"datatype ${s.dataType} is not supported", child)
None
} else {
withInfo(aggExpr, child)
None
}
case Count(children) =>
val exprChildren = children.map(exprToProto(_, inputs, binding))
if (exprChildren.forall(_.isDefined)) {
val countBuilder = ExprOuterClass.Count.newBuilder()
countBuilder.addAllChildren(exprChildren.map(_.get).asJava)
Some(
ExprOuterClass.AggExpr
.newBuilder()
.setCount(countBuilder)
.build())
} else {
withInfo(aggExpr, children: _*)
None
}
case min @ Min(child) if minMaxDataTypeSupported(min.dataType) =>
val childExpr = exprToProto(child, inputs, binding)
val dataType = serializeDataType(min.dataType)
if (childExpr.isDefined && dataType.isDefined) {
val minBuilder = ExprOuterClass.Min.newBuilder()
minBuilder.setChild(childExpr.get)
minBuilder.setDatatype(dataType.get)
Some(
ExprOuterClass.AggExpr
.newBuilder()
.setMin(minBuilder)
.build())
} else if (dataType.isEmpty) {
withInfo(aggExpr, s"datatype ${min.dataType} is not supported", child)
None
} else {
withInfo(aggExpr, child)
None
}
case max @ Max(child) if minMaxDataTypeSupported(max.dataType) =>
val childExpr = exprToProto(child, inputs, binding)
val dataType = serializeDataType(max.dataType)
if (childExpr.isDefined && dataType.isDefined) {
val maxBuilder = ExprOuterClass.Max.newBuilder()
maxBuilder.setChild(childExpr.get)
maxBuilder.setDatatype(dataType.get)
Some(
ExprOuterClass.AggExpr
.newBuilder()
.setMax(maxBuilder)
.build())
} else if (dataType.isEmpty) {
withInfo(aggExpr, s"datatype ${max.dataType} is not supported", child)
None
} else {
withInfo(aggExpr, child)
None
}
case first @ First(child, ignoreNulls)
if !ignoreNulls => // DataFusion doesn't support ignoreNulls true
val childExpr = exprToProto(child, inputs, binding)
val dataType = serializeDataType(first.dataType)
if (childExpr.isDefined && dataType.isDefined) {
val firstBuilder = ExprOuterClass.First.newBuilder()
firstBuilder.setChild(childExpr.get)
firstBuilder.setDatatype(dataType.get)
Some(
ExprOuterClass.AggExpr
.newBuilder()
.setFirst(firstBuilder)
.build())
} else if (dataType.isEmpty) {
withInfo(aggExpr, s"datatype ${first.dataType} is not supported", child)
None
} else {
withInfo(aggExpr, child)
None
}
case last @ Last(child, ignoreNulls)
if !ignoreNulls => // DataFusion doesn't support ignoreNulls true
val childExpr = exprToProto(child, inputs, binding)
val dataType = serializeDataType(last.dataType)
if (childExpr.isDefined && dataType.isDefined) {
val lastBuilder = ExprOuterClass.Last.newBuilder()
lastBuilder.setChild(childExpr.get)
lastBuilder.setDatatype(dataType.get)
Some(
ExprOuterClass.AggExpr
.newBuilder()
.setLast(lastBuilder)
.build())
} else if (dataType.isEmpty) {
withInfo(aggExpr, s"datatype ${last.dataType} is not supported", child)
None
} else {
withInfo(aggExpr, child)
None
}
case bitAnd @ BitAndAgg(child) if bitwiseAggTypeSupported(bitAnd.dataType) =>
val childExpr = exprToProto(child, inputs, binding)
val dataType = serializeDataType(bitAnd.dataType)
if (childExpr.isDefined && dataType.isDefined) {
val bitAndBuilder = ExprOuterClass.BitAndAgg.newBuilder()
bitAndBuilder.setChild(childExpr.get)
bitAndBuilder.setDatatype(dataType.get)
Some(
ExprOuterClass.AggExpr
.newBuilder()
.setBitAndAgg(bitAndBuilder)
.build())
} else if (dataType.isEmpty) {
withInfo(aggExpr, s"datatype ${bitAnd.dataType} is not supported", child)
None
} else {
withInfo(aggExpr, child)
None
}
case bitOr @ BitOrAgg(child) if bitwiseAggTypeSupported(bitOr.dataType) =>
val childExpr = exprToProto(child, inputs, binding)
val dataType = serializeDataType(bitOr.dataType)
if (childExpr.isDefined && dataType.isDefined) {
val bitOrBuilder = ExprOuterClass.BitOrAgg.newBuilder()
bitOrBuilder.setChild(childExpr.get)
bitOrBuilder.setDatatype(dataType.get)
Some(
ExprOuterClass.AggExpr
.newBuilder()
.setBitOrAgg(bitOrBuilder)
.build())
} else if (dataType.isEmpty) {
withInfo(aggExpr, s"datatype ${bitOr.dataType} is not supported", child)
None
} else {
withInfo(aggExpr, child)
None
}
case bitXor @ BitXorAgg(child) if bitwiseAggTypeSupported(bitXor.dataType) =>
val childExpr = exprToProto(child, inputs, binding)
val dataType = serializeDataType(bitXor.dataType)
if (childExpr.isDefined && dataType.isDefined) {
val bitXorBuilder = ExprOuterClass.BitXorAgg.newBuilder()
bitXorBuilder.setChild(childExpr.get)
bitXorBuilder.setDatatype(dataType.get)
Some(
ExprOuterClass.AggExpr
.newBuilder()
.setBitXorAgg(bitXorBuilder)
.build())
} else if (dataType.isEmpty) {
withInfo(aggExpr, s"datatype ${bitXor.dataType} is not supported", child)
None
} else {
withInfo(aggExpr, child)
None
}
case cov @ CovSample(child1, child2, nullOnDivideByZero) =>
val child1Expr = exprToProto(child1, inputs, binding)
val child2Expr = exprToProto(child2, inputs, binding)
val dataType = serializeDataType(cov.dataType)
if (child1Expr.isDefined && child2Expr.isDefined && dataType.isDefined) {
val covBuilder = ExprOuterClass.Covariance.newBuilder()
covBuilder.setChild1(child1Expr.get)
covBuilder.setChild2(child2Expr.get)
covBuilder.setNullOnDivideByZero(nullOnDivideByZero)
covBuilder.setDatatype(dataType.get)
covBuilder.setStatsTypeValue(0)
Some(
ExprOuterClass.AggExpr
.newBuilder()
.setCovariance(covBuilder)
.build())
} else {
None
}
case cov @ CovPopulation(child1, child2, nullOnDivideByZero) =>
val child1Expr = exprToProto(child1, inputs, binding)
val child2Expr = exprToProto(child2, inputs, binding)
val dataType = serializeDataType(cov.dataType)
if (child1Expr.isDefined && child2Expr.isDefined && dataType.isDefined) {
val covBuilder = ExprOuterClass.Covariance.newBuilder()
covBuilder.setChild1(child1Expr.get)
covBuilder.setChild2(child2Expr.get)
covBuilder.setNullOnDivideByZero(nullOnDivideByZero)
covBuilder.setDatatype(dataType.get)
covBuilder.setStatsTypeValue(1)
Some(
ExprOuterClass.AggExpr
.newBuilder()
.setCovariance(covBuilder)
.build())
} else {
None
}
case variance @ VarianceSamp(child, nullOnDivideByZero) =>
val childExpr = exprToProto(child, inputs, binding)
val dataType = serializeDataType(variance.dataType)
if (childExpr.isDefined && dataType.isDefined) {
val varBuilder = ExprOuterClass.Variance.newBuilder()
varBuilder.setChild(childExpr.get)
varBuilder.setNullOnDivideByZero(nullOnDivideByZero)
varBuilder.setDatatype(dataType.get)
varBuilder.setStatsTypeValue(0)
Some(
ExprOuterClass.AggExpr
.newBuilder()
.setVariance(varBuilder)
.build())
} else {
withInfo(aggExpr, child)
None
}
case variancePop @ VariancePop(child, nullOnDivideByZero) =>
val childExpr = exprToProto(child, inputs, binding)
val dataType = serializeDataType(variancePop.dataType)
if (childExpr.isDefined && dataType.isDefined) {
val varBuilder = ExprOuterClass.Variance.newBuilder()
varBuilder.setChild(childExpr.get)
varBuilder.setNullOnDivideByZero(nullOnDivideByZero)
varBuilder.setDatatype(dataType.get)
varBuilder.setStatsTypeValue(1)
Some(
ExprOuterClass.AggExpr
.newBuilder()
.setVariance(varBuilder)
.build())
} else {
withInfo(aggExpr, child)
None
}
case std @ StddevSamp(child, nullOnDivideByZero) =>
if (CometConf.COMET_EXPR_STDDEV_ENABLED.get(conf)) {
val childExpr = exprToProto(child, inputs, binding)
val dataType = serializeDataType(std.dataType)
if (childExpr.isDefined && dataType.isDefined) {
val stdBuilder = ExprOuterClass.Stddev.newBuilder()
stdBuilder.setChild(childExpr.get)
stdBuilder.setNullOnDivideByZero(nullOnDivideByZero)
stdBuilder.setDatatype(dataType.get)
stdBuilder.setStatsTypeValue(0)
Some(
ExprOuterClass.AggExpr
.newBuilder()
.setStddev(stdBuilder)
.build())
} else {
withInfo(aggExpr, child)
None
}
} else {
withInfo(
aggExpr,
"stddev disabled by default because it can be slower than Spark. " +
s"Set ${CometConf.COMET_EXPR_STDDEV_ENABLED}=true to enable it.",
child)
None
}
case std @ StddevPop(child, nullOnDivideByZero) =>
if (CometConf.COMET_EXPR_STDDEV_ENABLED.get(conf)) {
val childExpr = exprToProto(child, inputs, binding)
val dataType = serializeDataType(std.dataType)
if (childExpr.isDefined && dataType.isDefined) {
val stdBuilder = ExprOuterClass.Stddev.newBuilder()
stdBuilder.setChild(childExpr.get)
stdBuilder.setNullOnDivideByZero(nullOnDivideByZero)
stdBuilder.setDatatype(dataType.get)
stdBuilder.setStatsTypeValue(1)
Some(
ExprOuterClass.AggExpr
.newBuilder()
.setStddev(stdBuilder)
.build())
} else {
withInfo(aggExpr, child)
None
}
} else {
withInfo(
aggExpr,
"stddev disabled by default because it can be slower than Spark. " +
s"Set ${CometConf.COMET_EXPR_STDDEV_ENABLED}=true to enable it.",
child)
None
}
case corr @ Corr(child1, child2, nullOnDivideByZero) =>
val child1Expr = exprToProto(child1, inputs, binding)
val child2Expr = exprToProto(child2, inputs, binding)
val dataType = serializeDataType(corr.dataType)
if (child1Expr.isDefined && child2Expr.isDefined && dataType.isDefined) {
val corrBuilder = ExprOuterClass.Correlation.newBuilder()
corrBuilder.setChild1(child1Expr.get)
corrBuilder.setChild2(child2Expr.get)
corrBuilder.setNullOnDivideByZero(nullOnDivideByZero)
corrBuilder.setDatatype(dataType.get)
Some(
ExprOuterClass.AggExpr
.newBuilder()
.setCorrelation(corrBuilder)
.build())
} else {
withInfo(aggExpr, child1, child2)
None
}
case bloom_filter @ BloomFilterAggregate(child, numItems, numBits, _, _) =>
// We ignore mutableAggBufferOffset and inputAggBufferOffset because they are
// implementation details for Spark's ObjectHashAggregate.
val childExpr = exprToProto(child, inputs, binding)
val numItemsExpr = exprToProto(numItems, inputs, binding)
val numBitsExpr = exprToProto(numBits, inputs, binding)
val dataType = serializeDataType(bloom_filter.dataType)
if (childExpr.isDefined &&
(child.dataType
.isInstanceOf[ByteType] ||
child.dataType
.isInstanceOf[ShortType] ||
child.dataType
.isInstanceOf[IntegerType] ||
child.dataType
.isInstanceOf[LongType] ||
child.dataType
.isInstanceOf[StringType]) &&
numItemsExpr.isDefined &&
numBitsExpr.isDefined &&
dataType.isDefined) {
val bloomFilterAggBuilder = ExprOuterClass.BloomFilterAgg.newBuilder()
bloomFilterAggBuilder.setChild(childExpr.get)
bloomFilterAggBuilder.setNumItems(numItemsExpr.get)
bloomFilterAggBuilder.setNumBits(numBitsExpr.get)
bloomFilterAggBuilder.setDatatype(dataType.get)
Some(
ExprOuterClass.AggExpr
.newBuilder()
.setBloomFilterAgg(bloomFilterAggBuilder)
.build())
} else {
withInfo(aggExpr, child, numItems, numBits)
None
}
case fn =>
val msg = s"unsupported Spark aggregate function: ${fn.prettyName}"
emitWarning(msg)
withInfo(aggExpr, msg, fn.children: _*)
None
}
}
def evalModeToProto(evalMode: CometEvalMode.Value): ExprOuterClass.EvalMode = {
evalMode match {
case CometEvalMode.LEGACY => ExprOuterClass.EvalMode.LEGACY
case CometEvalMode.TRY => ExprOuterClass.EvalMode.TRY
case CometEvalMode.ANSI => ExprOuterClass.EvalMode.ANSI
case _ => throw new IllegalStateException(s"Invalid evalMode $evalMode")
}
}
/**
* Wrap an expression in a cast.
*/
def castToProto(
expr: Expression,
timeZoneId: Option[String],
dt: DataType,
childExpr: Expr,
evalMode: CometEvalMode.Value): Option[Expr] = {
serializeDataType(dt) match {
case Some(dataType) =>
val castBuilder = ExprOuterClass.Cast.newBuilder()
castBuilder.setChild(childExpr)
castBuilder.setDatatype(dataType)
castBuilder.setEvalMode(evalModeToProto(evalMode))
castBuilder.setAllowIncompat(CometConf.COMET_CAST_ALLOW_INCOMPATIBLE.get())
castBuilder.setTimezone(timeZoneId.getOrElse("UTC"))
Some(
ExprOuterClass.Expr
.newBuilder()
.setCast(castBuilder)
.build())
case _ =>
withInfo(expr, s"Unsupported datatype in castToProto: $dt")
None
}
}
def handleCast(
expr: Expression,
child: Expression,
inputs: Seq[Attribute],
binding: Boolean,
dt: DataType,
timeZoneId: Option[String],
evalMode: CometEvalMode.Value): Option[Expr] = {
val childExpr = exprToProtoInternal(child, inputs, binding)
if (childExpr.isDefined) {
val castSupport =
CometCast.isSupported(child.dataType, dt, timeZoneId, evalMode)
def getIncompatMessage(reason: Option[String]): String =
"Comet does not guarantee correct results for cast " +
s"from ${child.dataType} to $dt " +
s"with timezone $timeZoneId and evalMode $evalMode" +
reason.map(str => s" ($str)").getOrElse("")
castSupport match {
case Compatible(_) =>
castToProto(expr, timeZoneId, dt, childExpr.get, evalMode)
case Incompatible(reason) =>
if (CometConf.COMET_CAST_ALLOW_INCOMPATIBLE.get()) {
logWarning(getIncompatMessage(reason))
castToProto(expr, timeZoneId, dt, childExpr.get, evalMode)
} else {
withInfo(
expr,
s"${getIncompatMessage(reason)}. To enable all incompatible casts, set " +
s"${CometConf.COMET_CAST_ALLOW_INCOMPATIBLE.key}=true")
None
}
case Unsupported =>
withInfo(
expr,
s"Unsupported cast from ${child.dataType} to $dt " +
s"with timezone $timeZoneId and evalMode $evalMode")
None
}
} else {
withInfo(expr, child)
None
}
}
/**
* Convert a Spark expression to protobuf.
*
* @param expr
* The input expression
* @param inputs
* The input attributes
* @param binding
* Whether to bind the expression to the input attributes
* @return
* The protobuf representation of the expression, or None if the expression is not supported
*/
def exprToProto(
expr: Expression,
inputs: Seq[Attribute],
binding: Boolean = true): Option[Expr] = {
val conf = SQLConf.get
val newExpr =
DecimalPrecision.promote(conf.decimalOperationsAllowPrecisionLoss, expr, !conf.ansiEnabled)
exprToProtoInternal(newExpr, inputs, binding)
}
def exprToProtoInternal(
expr: Expression,
inputs: Seq[Attribute],
binding: Boolean): Option[Expr] = {
SQLConf.get
def convert(handler: CometExpressionSerde): Option[Expr] = {
handler match {
case _: IncompatExpr if !CometConf.COMET_EXPR_ALLOW_INCOMPATIBLE.get() =>
withInfo(
expr,
s"$expr is not fully compatible with Spark. To enable it anyway, set " +
s"${CometConf.COMET_EXPR_ALLOW_INCOMPATIBLE.key}=true. ${CometConf.COMPAT_GUIDE}.")
None
case _ =>
handler.convert(expr, inputs, binding)
}
}
expr match {
case a @ Alias(_, _) =>
val r = exprToProtoInternal(a.child, inputs, binding)
if (r.isEmpty) {
withInfo(expr, a.child)
}
r
case cast @ Cast(_: Literal, dataType, _, _) =>
// This can happen after promoting decimal precisions
val value = cast.eval()
exprToProtoInternal(Literal(value, dataType), inputs, binding)
case UnaryExpression(child) if expr.prettyName == "trycast" =>
val timeZoneId = SQLConf.get.sessionLocalTimeZone
handleCast(
expr,
child,
inputs,
binding,
expr.dataType,
Some(timeZoneId),
CometEvalMode.TRY)
case c @ Cast(child, dt, timeZoneId, _) =>
handleCast(expr, child, inputs, binding, dt, timeZoneId, evalMode(c))
case add @ Add(left, right, _) if supportedDataType(left.dataType) =>
createMathExpression(
expr,
left,
right,
inputs,
binding,
add.dataType,
getFailOnError(add),
(builder, mathExpr) => builder.setAdd(mathExpr))
case add @ Add(left, _, _) if !supportedDataType(left.dataType) =>
withInfo(add, s"Unsupported datatype ${left.dataType}")
None
case sub @ Subtract(left, right, _) if supportedDataType(left.dataType) =>
createMathExpression(
expr,
left,
right,
inputs,
binding,
sub.dataType,
getFailOnError(sub),
(builder, mathExpr) => builder.setSubtract(mathExpr))
case sub @ Subtract(left, _, _) if !supportedDataType(left.dataType) =>
withInfo(sub, s"Unsupported datatype ${left.dataType}")
None