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https://issues.apache.org/jira/browse/SPARK-9218?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Michael Armbrust updated SPARK-9218:
------------------------------------
Target Version/s: 1.6.0 (was: 1.5.0)
> Falls back to getAllPartitions when getPartitionsByFilter fails
> ---------------------------------------------------------------
>
> Key: SPARK-9218
> URL: https://issues.apache.org/jira/browse/SPARK-9218
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 1.5.0
> Reporter: Cheng Lian
> Assignee: Cheng Lian
>
> [PR #7492|https://github.com/apache/spark/pull/7492] enables Hive partition
> predicate push-down by leveraging {{Hive.getPartitionsByFilter}}. Although
> this optimization is pretty effective, we did observe some failures like this:
> {noformat}
> java.sql.SQLDataException: Invalid character string format for type DECIMAL.
> at
> org.apache.derby.impl.jdbc.SQLExceptionFactory40.getSQLException(Unknown
> Source)
> at org.apache.derby.impl.jdbc.Util.generateCsSQLException(Unknown
> Source)
> at
> org.apache.derby.impl.jdbc.TransactionResourceImpl.wrapInSQLException(Unknown
> Source)
> at
> org.apache.derby.impl.jdbc.TransactionResourceImpl.handleException(Unknown
> Source)
> at org.apache.derby.impl.jdbc.EmbedConnection.handleException(Unknown
> Source)
> at org.apache.derby.impl.jdbc.ConnectionChild.handleException(Unknown
> Source)
> at org.apache.derby.impl.jdbc.EmbedStatement.executeStatement(Unknown
> Source)
> at
> org.apache.derby.impl.jdbc.EmbedPreparedStatement.executeStatement(Unknown
> Source)
> at
> org.apache.derby.impl.jdbc.EmbedPreparedStatement.executeQuery(Unknown Source)
> at
> com.jolbox.bonecp.PreparedStatementHandle.executeQuery(PreparedStatementHandle.java:174)
> at
> org.datanucleus.store.rdbms.ParamLoggingPreparedStatement.executeQuery(ParamLoggingPreparedStatement.java:381)
> at
> org.datanucleus.store.rdbms.SQLController.executeStatementQuery(SQLController.java:504)
> at
> org.datanucleus.store.rdbms.query.SQLQuery.performExecute(SQLQuery.java:280)
> at org.datanucleus.store.query.Query.executeQuery(Query.java:1786)
> at
> org.datanucleus.store.query.AbstractSQLQuery.executeWithArray(AbstractSQLQuery.java:339)
> at org.datanucleus.api.jdo.JDOQuery.executeWithArray(JDOQuery.java:312)
> at
> org.apache.hadoop.hive.metastore.MetaStoreDirectSql.getPartitionsViaSqlFilterInternal(MetaStoreDirectSql.java:300)
> at
> org.apache.hadoop.hive.metastore.MetaStoreDirectSql.getPartitionsViaSqlFilter(MetaStoreDirectSql.java:211)
> at
> org.apache.hadoop.hive.metastore.ObjectStore$4.getSqlResult(ObjectStore.java:2320)
> at
> org.apache.hadoop.hive.metastore.ObjectStore$4.getSqlResult(ObjectStore.java:2317)
> at
> org.apache.hadoop.hive.metastore.ObjectStore$GetHelper.run(ObjectStore.java:2208)
> at
> org.apache.hadoop.hive.metastore.ObjectStore.getPartitionsByFilterInternal(ObjectStore.java:2317)
> at
> org.apache.hadoop.hive.metastore.ObjectStore.getPartitionsByFilter(ObjectStore.java:2165)
> at sun.reflect.GeneratedMethodAccessor126.invoke(Unknown Source)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:606)
> at
> org.apache.hadoop.hive.metastore.RawStoreProxy.invoke(RawStoreProxy.java:108)
> at com.sun.proxy.$Proxy21.getPartitionsByFilter(Unknown Source)
> at
> org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.get_partitions_by_filter(HiveMetaStore.java:3760)
> at sun.reflect.GeneratedMethodAccessor125.invoke(Unknown Source)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:606)
> at
> org.apache.hadoop.hive.metastore.RetryingHMSHandler.invoke(RetryingHMSHandler.java:105)
> at com.sun.proxy.$Proxy23.get_partitions_by_filter(Unknown Source)
> at
> org.apache.hadoop.hive.metastore.HiveMetaStoreClient.listPartitionsByFilter(HiveMetaStoreClient.java:903)
> at sun.reflect.GeneratedMethodAccessor124.invoke(Unknown Source)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:606)
> at
> org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.invoke(RetryingMetaStoreClient.java:89)
> at com.sun.proxy.$Proxy24.listPartitionsByFilter(Unknown Source)
> at
> org.apache.hadoop.hive.ql.metadata.Hive.getPartitionsByFilter(Hive.java:1944)
> at sun.reflect.GeneratedMethodAccessor123.invoke(Unknown Source)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:606)
> at
> org.apache.spark.sql.hive.client.Shim_v0_13.getPartitionsByFilter(HiveShim.scala:354)
> at
> org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$getPartitionsByFilter$1.apply(ClientWrapper.scala:319)
> at
> org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$getPartitionsByFilter$1.apply(ClientWrapper.scala:317)
> at
> org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$withHiveState$1.apply(ClientWrapper.scala:179)
> at
> org.apache.spark.sql.hive.client.ClientWrapper.retryLocked(ClientWrapper.scala:134)
> at
> org.apache.spark.sql.hive.client.ClientWrapper.withHiveState(ClientWrapper.scala:171)
> at
> org.apache.spark.sql.hive.client.ClientWrapper.getPartitionsByFilter(ClientWrapper.scala:317)
> at
> org.apache.spark.sql.hive.client.HiveTable.getPartitions(ClientInterface.scala:78)
> at
> org.apache.spark.sql.hive.MetastoreRelation.getHiveQlPartitions(HiveMetastoreCatalog.scala:668)
> at
> org.apache.spark.sql.hive.execution.HiveTableScan.doExecute(HiveTableScan.scala:137)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:113)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:113)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:112)
> at
> org.apache.spark.sql.execution.Exchange$$anonfun$doExecute$1.apply(Exchange.scala:144)
> at
> org.apache.spark.sql.execution.Exchange$$anonfun$doExecute$1.apply(Exchange.scala:143)
> at
> org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:48)
> at org.apache.spark.sql.execution.Exchange.doExecute(Exchange.scala:143)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:113)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:113)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:112)
> at
> org.apache.spark.sql.execution.joins.ShuffledHashOuterJoin.doExecute(ShuffledHashOuterJoin.scala:49)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:113)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:113)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:112)
> at
> org.apache.spark.sql.execution.Project.doExecute(basicOperators.scala:44)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:113)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:113)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:112)
> at
> org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:127)
> at
> org.apache.spark.sql.hive.HiveContext$QueryExecution.stringResult(HiveContext.scala:499)
> at
> org.apache.spark.sql.hive.execution.HiveComparisonTest$$anonfun$createQueryTest$1$$anonfun$32.apply(HiveComparisonTest.scala:352)
> at
> org.apache.spark.sql.hive.execution.HiveComparisonTest$$anonfun$createQueryTest$1$$anonfun$32.apply(HiveComparisonTest.scala:350)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
> at scala.collection.AbstractTraversable.map(Traversable.scala:105)
> at
> org.apache.spark.sql.hive.execution.HiveComparisonTest$$anonfun$createQueryTest$1.apply$mcV$sp(HiveComparisonTest.scala:350)
> at
> org.apache.spark.sql.hive.execution.HiveComparisonTest$$anonfun$createQueryTest$1.apply(HiveComparisonTest.scala:238)
> at
> org.apache.spark.sql.hive.execution.HiveComparisonTest$$anonfun$createQueryTest$1.apply(HiveComparisonTest.scala:238)
> at
> org.scalatest.Transformer$$anonfun$apply$1.apply$mcV$sp(Transformer.scala:22)
> at org.scalatest.OutcomeOf$class.outcomeOf(OutcomeOf.scala:85)
> at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
> at org.scalatest.Transformer.apply(Transformer.scala:22)
> at org.scalatest.Transformer.apply(Transformer.scala:20)
> at org.scalatest.FunSuiteLike$$anon$1.apply(FunSuiteLike.scala:166)
> at org.apache.spark.SparkFunSuite.withFixture(SparkFunSuite.scala:42)
> at
> org.scalatest.FunSuiteLike$class.invokeWithFixture$1(FunSuiteLike.scala:163)
> at
> org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:175)
> at
> org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:175)
> at org.scalatest.SuperEngine.runTestImpl(Engine.scala:306)
> at org.scalatest.FunSuiteLike$class.runTest(FunSuiteLike.scala:175)
> at
> org.apache.spark.sql.hive.execution.HiveCompatibilitySuite.org$scalatest$BeforeAndAfter$$super$runTest(HiveCompatibilitySuite.scala:31)
> at org.scalatest.BeforeAndAfter$class.runTest(BeforeAndAfter.scala:200)
> at
> org.apache.spark.sql.hive.execution.HiveCompatibilitySuite.runTest(HiveCompatibilitySuite.scala:31)
> at
> org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:208)
> at
> org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:208)
> at
> org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:413)
> at
> org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:401)
> at scala.collection.immutable.List.foreach(List.scala:318)
> at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:401)
> at
> org.scalatest.SuperEngine.org$scalatest$SuperEngine$$runTestsInBranch(Engine.scala:396)
> at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:483)
> at org.scalatest.FunSuiteLike$class.runTests(FunSuiteLike.scala:208)
> at org.scalatest.FunSuite.runTests(FunSuite.scala:1555)
> at org.scalatest.Suite$class.run(Suite.scala:1424)
> at
> org.scalatest.FunSuite.org$scalatest$FunSuiteLike$$super$run(FunSuite.scala:1555)
> at
> org.scalatest.FunSuiteLike$$anonfun$run$1.apply(FunSuiteLike.scala:212)
> at
> org.scalatest.FunSuiteLike$$anonfun$run$1.apply(FunSuiteLike.scala:212)
> at org.scalatest.SuperEngine.runImpl(Engine.scala:545)
> at org.scalatest.FunSuiteLike$class.run(FunSuiteLike.scala:212)
> at
> org.apache.spark.sql.hive.execution.HiveComparisonTest.org$scalatest$BeforeAndAfterAll$$super$run(HiveComparisonTest.scala:42)
> at
> org.scalatest.BeforeAndAfterAll$class.liftedTree1$1(BeforeAndAfterAll.scala:257)
> at
> org.scalatest.BeforeAndAfterAll$class.run(BeforeAndAfterAll.scala:256)
> at
> org.apache.spark.sql.hive.execution.HiveCompatibilitySuite.org$scalatest$BeforeAndAfter$$super$run(HiveCompatibilitySuite.scala:31)
> at org.scalatest.BeforeAndAfter$class.run(BeforeAndAfter.scala:241)
> at
> org.apache.spark.sql.hive.execution.HiveCompatibilitySuite.run(HiveCompatibilitySuite.scala:31)
> at
> org.scalatest.tools.Framework.org$scalatest$tools$Framework$$runSuite(Framework.scala:462)
> at
> org.scalatest.tools.Framework$ScalaTestTask.execute(Framework.scala:671)
> at sbt.ForkMain$Run$2.call(ForkMain.java:294)
> at sbt.ForkMain$Run$2.call(ForkMain.java:284)
> at java.util.concurrent.FutureTask.run(FutureTask.java:262)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: java.sql.SQLException: Invalid character string format for type
> DECIMAL.
> at
> org.apache.derby.impl.jdbc.SQLExceptionFactory.getSQLException(Unknown Source)
> at
> org.apache.derby.impl.jdbc.SQLExceptionFactory40.wrapArgsForTransportAcrossDRDA(Unknown
> Source)
> ... 134 more
> Caused by: ERROR 22018: Invalid character string format for type DECIMAL.
> at org.apache.derby.iapi.error.StandardException.newException(Unknown
> Source)
> at org.apache.derby.iapi.types.DataType.invalidFormat(Unknown Source)
> at org.apache.derby.iapi.types.DataType.setValue(Unknown Source)
> at
> org.apache.derby.exe.ac906400e0x014exae37x0ee4x0000745cf7a81007.e3(Unknown
> Source)
> at org.apache.derby.impl.services.reflect.DirectCall.invoke(Unknown
> Source)
> at
> org.apache.derby.impl.sql.execute.ProjectRestrictResultSet.getNextRowCore(Unknown
> Source)
> at
> org.apache.derby.impl.sql.execute.NestedLoopJoinResultSet.getNextRowCore(Unknown
> Source)
> at org.apache.derby.impl.sql.execute.JoinResultSet.openCore(Unknown
> Source)
> at
> org.apache.derby.impl.sql.execute.ProjectRestrictResultSet.openCore(Unknown
> Source)
> at
> org.apache.derby.impl.sql.execute.BasicNoPutResultSetImpl.open(Unknown Source)
> at
> org.apache.derby.impl.sql.GenericPreparedStatement.executeStmt(Unknown Source)
> at org.apache.derby.impl.sql.GenericPreparedStatement.execute(Unknown
> Source)
> ... 128 more
> {noformat}
> Before identifying and fixing the root cause, we may try to fall back to
> {{getAllPartitions}} whenever {{getPartitionsByFilter}} fails.
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