NPE on SELECT INFORMATION_SCHEMA.PARAMETERS

[mzzsfy]

Bug Report

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Which version of ShardingSphere did you use?

5.2

Which project did you use? ShardingSphere-JDBC or ShardingSphere-Proxy?

ShardingSphere-Proxy in docker

Expected behavior

SQL result

Actual behavior

java.lang.NullPointerException: Cannot invoke "org.apache.shardingsphere.infra.federation.optimizer.context.parser.OptimizerParserContext.getDialectProps()" because the return value of "java.util.Map.get(Object)" is null
at org.apache.shardingsphere.infra.federation.executor.original.OriginalFederationExecutor.createConnection(OriginalFederationExecutor.java:92)
at org.apache.shardingsphere.infra.federation.executor.original.OriginalFederationExecutor.executeQuery(OriginalFederationExecutor.java:83)
at org.apache.shardingsphere.proxy.backend.communication.jdbc.JDBCDatabaseCommunicationEngine.doExecuteFederation(JDBCDatabaseCommunicationEngine.java:165)
at org.apache.shardingsphere.proxy.backend.communication.jdbc.JDBCDatabaseCommunicationEngine.execute(JDBCDatabaseCommunicationEngine.java:123)
at org.apache.shardingsphere.proxy.frontend.mysql.command.query.text.query.MySQLComQueryPacketExecutor.execute(MySQLComQueryPacketExecutor.java:94)
at org.apache.shardingsphere.proxy.frontend.command.CommandExecutorTask.executeCommand(CommandExecutorTask.java:110)
at org.apache.shardingsphere.proxy.frontend.command.CommandExecutorTask.run(CommandExecutorTask.java:77)
at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)
at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)
at java.base/java.lang.Thread.run(Thread.java:833)

Reason analyze (If you can)

Steps to reproduce the behavior, such as: SQL to execute, sharding rule configuration, when exception occur etc.

SELECT SPECIFIC_SCHEMA AS PROCEDURE_CAT, NULL AS `PROCEDURE_SCHEM`, SPECIFIC_NAME AS `PROCEDURE_NAME`, IFNULL(PARAMETER_NAME, '') AS `COLUMN_NAME`, CASE WHEN PARAMETER_MODE = 'IN' THEN 1 WHEN PARAMETER_MODE = 'OUT' THEN 4 WHEN PARAMETER_MODE = 'INOUT' THEN 2 WHEN ORDINAL_POSITION = 0 THEN 5 ELSE 0 END AS `COLUMN_TYPE`, CASE  WHEN UPPER(DATA_TYPE)='DECIMAL' THEN 3 WHEN UPPER(DATA_TYPE)='DECIMAL UNSIGNED' THEN 3 WHEN UPPER(DATA_TYPE)='TINYINT' THEN -6 WHEN UPPER(DATA_TYPE)='TINYINT UNSIGNED' THEN -6 WHEN UPPER(DATA_TYPE)='BOOLEAN' THEN 16 WHEN UPPER(DATA_TYPE)='SMALLINT' THEN 5 WHEN UPPER(DATA_TYPE)='SMALLINT UNSIGNED' THEN 5 WHEN UPPER(DATA_TYPE)='INT' THEN 4 WHEN UPPER(DATA_TYPE)='INT UNSIGNED' THEN 4 WHEN UPPER(DATA_TYPE)='FLOAT' THEN 7 WHEN UPPER(DATA_TYPE)='FLOAT UNSIGNED' THEN 7 WHEN UPPER(DATA_TYPE)='DOUBLE' THEN 8 WHEN UPPER(DATA_TYPE)='DOUBLE UNSIGNED' THEN 8 WHEN UPPER(DATA_TYPE)='NULL' THEN 0 WHEN UPPER(DATA_TYPE)='TIMESTAMP' THEN 93 WHEN UPPER(DATA_TYPE)='BIGINT' THEN -5 WHEN UPPER(DATA_TYPE)='BIGINT UNSIGNED' THEN -5 WHEN UPPER(DATA_TYPE)='MEDIUMINT' THEN 4 WHEN UPPER(DATA_TYPE)='MEDIUMINT UNSIGNED' THEN 4 WHEN UPPER(DATA_TYPE)='DATE' THEN 91 WHEN UPPER(DATA_TYPE)='TIME' THEN 92 WHEN UPPER(DATA_TYPE)='DATETIME' THEN 93 WHEN UPPER(DATA_TYPE)='YEAR' THEN 91 WHEN UPPER(DATA_TYPE)='VARCHAR' THEN 12 WHEN UPPER(DATA_TYPE)='VARBINARY' THEN -3 WHEN UPPER(DATA_TYPE)='BIT' THEN -7 WHEN UPPER(DATA_TYPE)='JSON' THEN -1 WHEN UPPER(DATA_TYPE)='ENUM' THEN 1 WHEN UPPER(DATA_TYPE)='SET' THEN 1 WHEN UPPER(DATA_TYPE)='TINYBLOB' THEN -3 WHEN UPPER(DATA_TYPE)='TINYTEXT' THEN 12 WHEN UPPER(DATA_TYPE)='MEDIUMBLOB' THEN -4 WHEN UPPER(DATA_TYPE)='MEDIUMTEXT' THEN -1 WHEN UPPER(DATA_TYPE)='LONGBLOB' THEN -4 WHEN UPPER(DATA_TYPE)='LONGTEXT' THEN -1 WHEN UPPER(DATA_TYPE)='BLOB' THEN -4 WHEN UPPER(DATA_TYPE)='TEXT' THEN -1 WHEN UPPER(DATA_TYPE)='CHAR' THEN 1 WHEN UPPER(DATA_TYPE)='BINARY' THEN -2 WHEN UPPER(DATA_TYPE)='GEOMETRY' THEN -2 WHEN UPPER(DATA_TYPE)='UNKNOWN' THEN 1111 WHEN UPPER(DATA_TYPE)='POINT' THEN -2 WHEN UPPER(DATA_TYPE)='LINESTRING' THEN -2 WHEN UPPER(DATA_TYPE)='POLYGON' THEN -2 WHEN UPPER(DATA_TYPE)='MULTIPOINT' THEN -2 WHEN UPPER(DATA_TYPE)='MULTILINESTRING' THEN -2 WHEN UPPER(DATA_TYPE)='MULTIPOLYGON' THEN -2 WHEN UPPER(DATA_TYPE)='GEOMETRYCOLLECTION' THEN -2 WHEN UPPER(DATA_TYPE)='GEOMCOLLECTION' THEN -2 ELSE 1111 END  AS `DATA_TYPE`, UPPER(CASE WHEN LOCATE('UNSIGNED', UPPER(DTD_IDENTIFIER)) != 0 AND LOCATE('UNSIGNED', UPPER(DATA_TYPE)) = 0 AND LOCATE('SET', UPPER(DATA_TYPE)) <> 1 AND LOCATE('ENUM', UPPER(DATA_TYPE)) <> 1 THEN CONCAT(DATA_TYPE, ' UNSIGNED') WHEN UPPER(DATA_TYPE)='POINT' THEN 'GEOMETRY' WHEN UPPER(DATA_TYPE)='LINESTRING' THEN 'GEOMETRY' WHEN UPPER(DATA_TYPE)='POLYGON' THEN 'GEOMETRY' WHEN UPPER(DATA_TYPE)='MULTIPOINT' THEN 'GEOMETRY' WHEN UPPER(DATA_TYPE)='MULTILINESTRING' THEN 'GEOMETRY' WHEN UPPER(DATA_TYPE)='MULTIPOLYGON' THEN 'GEOMETRY' WHEN UPPER(DATA_TYPE)='GEOMETRYCOLLECTION' THEN 'GEOMETRY' WHEN UPPER(DATA_TYPE)='GEOMCOLLECTION' THEN 'GEOMETRY' ELSE UPPER(DATA_TYPE) END) AS TYPE_NAME, CASE WHEN LCASE(DATA_TYPE)='date' THEN 0 WHEN LCASE(DATA_TYPE)='time' OR LCASE(DATA_TYPE)='datetime' OR LCASE(DATA_TYPE)='timestamp' THEN DATETIME_PRECISION WHEN UPPER(DATA_TYPE)='MEDIUMINT' AND LOCATE('UNSIGNED', UPPER(DTD_IDENTIFIER)) != 0 THEN 8 WHEN UPPER(DATA_TYPE)='JSON' THEN 1073741824 ELSE NUMERIC_PRECISION END AS `PRECISION`, CASE WHEN LCASE(DATA_TYPE)='date' THEN 10 WHEN LCASE(DATA_TYPE)='time' THEN 8+(CASE WHEN DATETIME_PRECISION>0 THEN DATETIME_PRECISION+1 ELSE DATETIME_PRECISION END) WHEN LCASE(DATA_TYPE)='datetime' OR LCASE(DATA_TYPE)='timestamp'  THEN 19+(CASE WHEN DATETIME_PRECISION>0 THEN DATETIME_PRECISION+1 ELSE DATETIME_PRECISION END) WHEN UPPER(DATA_TYPE)='MEDIUMINT' AND LOCATE('UNSIGNED', UPPER(DTD_IDENTIFIER)) != 0 THEN 8 WHEN UPPER(DATA_TYPE)='JSON' THEN 1073741824 WHEN CHARACTER_MAXIMUM_LENGTH IS NULL THEN NUMERIC_PRECISION WHEN CHARACTER_MAXIMUM_LENGTH > 2147483647 THEN 2147483647 ELSE CHARACTER_MAXIMUM_LENGTH END AS LENGTH,NUMERIC_SCALE AS `SCALE`, 10 AS RADIX,1 AS `NULLABLE`, NULL AS `REMARKS`, NULL AS `COLUMN_DEF`, NULL AS `SQL_DATA_TYPE`, NULL AS `SQL_DATETIME_SUB`, CASE WHEN CHARACTER_OCTET_LENGTH > 2147483647 THEN 2147483647 ELSE CHARACTER_OCTET_LENGTH END AS `CHAR_OCTET_LENGTH`, ORDINAL_POSITION, 'YES' AS `IS_NULLABLE`, SPECIFIC_NAME FROM INFORMATION_SCHEMA.PARAMETERS WHERE SPECIFIC_SCHEMA = 'test' AND SPECIFIC_NAME LIKE '%' ORDER BY SPECIFIC_SCHEMA, SPECIFIC_NAME, ROUTINE_TYPE, ORDINAL_POSITION

Example codes for reproduce this issue (such as a github link).

Use only READWRITE_SPLITTING

mysql: 8.0.27

server.yml

mode:
 type: Cluster
 repository:
    type: ZooKeeper
    props:
     namespace: dev
     server-lists: zookeeper:2181
     retryIntervalMilliseconds: 500
     timeToLiveSeconds: 60
     maxRetries: 3
     operationTimeoutMilliseconds: 500
 overwrite: false

rules:
  - !AUTHORITY
    users:
      - root@%:root
    provider:
      type: ALL_PERMITTED

props:
  sql-simple: true
  check-table-metadata-enabled: true
  check-duplicate-table-enabled: true
  proxy-mysql-default-version: 8.0.27

config-test.yaml

schemaName: test
dataSources:
  write_ds_0:
    url: jdbc:mysql://mysql:3306/test?serverTimezone=UTC&allowPublicKeyRetrieval=true&useSSL=false&useUnicode=true&characterEncoding=UTF-8
    username: root
    password: root
    connectionTimeoutMilliseconds: 30000
    idleTimeoutMilliseconds: 60000
    maxLifetimeMilliseconds: 1800000
    maxPoolSize: 100
    minPoolSize: 1
  read_ds_0: 
    url: jdbc:mysql://mysql:3307/test?serverTimezone=UTC&allowPublicKeyRetrieval=true&useSSL=false&useUnicode=true&characterEncoding=UTF-8
    username: root
    password: root
    connectionTimeoutMilliseconds: 30000
    idleTimeoutMilliseconds: 60000
    maxLifetimeMilliseconds: 1800000
    maxPoolSize: 1000
    minPoolSize: 1
    

rules:
  - !READWRITE_SPLITTING
    dataSources:
      readwrite_ds:
        staticStrategy:
          writeDataSourceName: write_ds_0
          readDataSourceNames:
            - read_ds_0
        loadBalancerName: random
    loadBalancers:
      random:
        type: RANDOM

[mzzsfy]

By adding an intermediate configuration, this problem has been resolved

config-mate.yaml

schemaName: information_schema
dataSources:
  ds:
    url: jdbc:mysql://mysql:3306/information_schema?serverTimezone=UTC&allowPublicKeyRetrieval=true&useSSL=false&useUnicode=true&characterEncoding=UTF-8
    username: root
    password: root
    connectionTimeoutMilliseconds: 30000
    idleTimeoutMilliseconds: 60000
    maxLifetimeMilliseconds: 1800000
    maxPoolSize: 1
    minPoolSize: 1

If I have a lot of data source, it will be very stupid,could you tell me is there a better solution

[ZZemptypoint]

By adding an intermediate configuration, this problem has been resolved

config-mate.yaml

schemaName: information_schema
dataSources:
  ds:
    url: jdbc:mysql://mysql:3306/information_schema?serverTimezone=UTC&allowPublicKeyRetrieval=true&useSSL=false&useUnicode=true&characterEncoding=UTF-8
    username: root
    password: root
    connectionTimeoutMilliseconds: 30000
    idleTimeoutMilliseconds: 60000
    maxLifetimeMilliseconds: 1800000
    maxPoolSize: 1
    minPoolSize: 1

If I have a lot of data source, it will be very stupid,could you tell me is there a better solution

it's worked, but why? Does filename "config-mate.yaml" is special?

[mzzsfy]

it's worked, but why? Does filename "config-mate.yaml" is special?

Explicitly specify how sharding-proxy should route

filename "config-mate.yaml" not special
information_schema is a special schema

[ZZemptypoint]

it's worked, but why? Does filename "config-mate.yaml" is special?

Explicitly specify how sharding-proxy should route

ok, thx

[strongduanmu]

Hi @mzzsfy, thank you for your feedback, I think we can optimize the route logic when user only config one group readwrite splitting datasource.