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Posted to issues@spark.apache.org by "L. C. Hsieh (Jira)" <ji...@apache.org> on 2019/12/14 01:49:00 UTC

[jira] [Commented] (SPARK-30181) Throws runtime exception when filter metastore partition key that's not string type or integral types

    [ https://issues.apache.org/jira/browse/SPARK-30181?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16996065#comment-16996065 ] 

L. C. Hsieh commented on SPARK-30181:
-------------------------------------

This should be fixed by SPARK-30238.

> Throws runtime exception when filter metastore partition key that's not string type or integral types
> -----------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-30181
>                 URL: https://issues.apache.org/jira/browse/SPARK-30181
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.4.0, 2.4.1, 2.4.2, 2.4.3, 2.4.4
>            Reporter: Yu-Jhe Li
>            Priority: Major
>
> SQL below will throw a runtime exception since spark-2.4.0. I think it's a bug brought from SPARK-22384 
> {code:scala}
> spark.sql("CREATE TABLE timestamp_part (value INT) PARTITIONED BY (dt TIMESTAMP)")
> val df = Seq(
>     (1, java.sql.Timestamp.valueOf("2019-12-01 00:00:00"), 1), 
>     (2, java.sql.Timestamp.valueOf("2019-12-01 01:00:00"), 1)
>   ).toDF("id", "dt", "value")
> df.write.partitionBy("dt").mode("overwrite").saveAsTable("timestamp_part")
> spark.sql("select * from timestamp_part where dt >= '2019-12-01 00:00:00'").explain(true)
> {code}
> {noformat}
> Caught Hive MetaException attempting to get partition metadata by filter from Hive. You can set the Spark configuration setting spark.sql.hive.manageFilesourcePartitions to false to work around this problem, however this will result in degraded performance. Please report a bug: https://issues.apache.org/jira/browse/SPARK
> java.lang.RuntimeException: Caught Hive MetaException attempting to get partition metadata by filter from Hive. You can set the Spark configuration setting spark.sql.hive.manageFilesourcePartitions to false to work around this problem, however this will result in degraded performance. Please report a bug: https://issues.apache.org/jira/browse/SPARK
>   at org.apache.spark.sql.hive.client.Shim_v0_13.getPartitionsByFilter(HiveShim.scala:774)
>   at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getPartitionsByFilter$1.apply(HiveClientImpl.scala:679)
>   at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getPartitionsByFilter$1.apply(HiveClientImpl.scala:677)
>   at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$withHiveState$1.apply(HiveClientImpl.scala:275)
>   at org.apache.spark.sql.hive.client.HiveClientImpl.liftedTree1$1(HiveClientImpl.scala:213)
>   at org.apache.spark.sql.hive.client.HiveClientImpl.retryLocked(HiveClientImpl.scala:212)
>   at org.apache.spark.sql.hive.client.HiveClientImpl.withHiveState(HiveClientImpl.scala:258)
>   at org.apache.spark.sql.hive.client.HiveClientImpl.getPartitionsByFilter(HiveClientImpl.scala:677)
>   at org.apache.spark.sql.hive.client.HiveClientSuite.testMetastorePartitionFiltering(HiveClientSuite.scala:310)
>   at org.apache.spark.sql.hive.client.HiveClientSuite.org$apache$spark$sql$hive$client$HiveClientSuite$$testMetastorePartitionFiltering(HiveClientSuite.scala:282)
>   at org.apache.spark.sql.hive.client.HiveClientSuite$$anonfun$1.apply$mcV$sp(HiveClientSuite.scala:105)
>   at org.apache.spark.sql.hive.client.HiveClientSuite$$anonfun$1.apply(HiveClientSuite.scala:105)
>   at org.apache.spark.sql.hive.client.HiveClientSuite$$anonfun$1.apply(HiveClientSuite.scala:105)
>   at org.scalatest.OutcomeOf$class.outcomeOf(OutcomeOf.scala:85)
>   at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
>   at org.scalatest.Transformer.apply(Transformer.scala:22)
>   at org.scalatest.Transformer.apply(Transformer.scala:20)
>   at org.scalatest.FunSuiteLike$$anon$1.apply(FunSuiteLike.scala:186)
>   at org.apache.spark.SparkFunSuite.withFixture(SparkFunSuite.scala:103)
>   at org.scalatest.FunSuiteLike$class.invokeWithFixture$1(FunSuiteLike.scala:183)
>   at org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:196)
>   at org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:196)
>   at org.scalatest.SuperEngine.runTestImpl(Engine.scala:289)
>   at org.scalatest.FunSuiteLike$class.runTest(FunSuiteLike.scala:196)
>   at org.scalatest.FunSuite.runTest(FunSuite.scala:1560)
>   at org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:229)
>   at org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:229)
>   at org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:396)
>   at org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:384)
>   at scala.collection.immutable.List.foreach(List.scala:392)
>   at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:384)
>   at org.scalatest.SuperEngine.org$scalatest$SuperEngine$$runTestsInBranch(Engine.scala:379)
>   at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:461)
>   at org.scalatest.FunSuiteLike$class.runTests(FunSuiteLike.scala:229)
>   at org.scalatest.FunSuite.runTests(FunSuite.scala:1560)
>   at org.scalatest.Suite$class.run(Suite.scala:1147)
>   at org.scalatest.FunSuite.org$scalatest$FunSuiteLike$$super$run(FunSuite.scala:1560)
>   at org.scalatest.FunSuiteLike$$anonfun$run$1.apply(FunSuiteLike.scala:233)
>   at org.scalatest.FunSuiteLike$$anonfun$run$1.apply(FunSuiteLike.scala:233)
>   at org.scalatest.SuperEngine.runImpl(Engine.scala:521)
>   at org.scalatest.FunSuiteLike$class.run(FunSuiteLike.scala:233)
>   at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterAll$$super$run(SparkFunSuite.scala:52)
>   at org.scalatest.BeforeAndAfterAll$class.liftedTree1$1(BeforeAndAfterAll.scala:213)
>   at org.scalatest.BeforeAndAfterAll$class.run(BeforeAndAfterAll.scala:210)
>   at org.apache.spark.SparkFunSuite.run(SparkFunSuite.scala:52)
>   at org.scalatest.Suite$class.callExecuteOnSuite$1(Suite.scala:1210)
>   at org.scalatest.Suite$$anonfun$runNestedSuites$1.apply(Suite.scala:1257)
>   at org.scalatest.Suite$$anonfun$runNestedSuites$1.apply(Suite.scala:1255)
>   at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
>   at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
>   at org.scalatest.Suite$class.runNestedSuites(Suite.scala:1255)
>   at org.apache.spark.sql.hive.client.HiveClientSuites.runNestedSuites(HiveClientSuites.scala:24)
>   at org.scalatest.Suite$class.run(Suite.scala:1144)
>   at org.apache.spark.sql.hive.client.HiveClientSuites.run(HiveClientSuites.scala:24)
>   at org.scalatest.tools.SuiteRunner.run(SuiteRunner.scala:45)
>   at org.scalatest.tools.Runner$$anonfun$doRunRunRunDaDoRunRun$1.apply(Runner.scala:1340)
>   at org.scalatest.tools.Runner$$anonfun$doRunRunRunDaDoRunRun$1.apply(Runner.scala:1334)
>   at scala.collection.immutable.List.foreach(List.scala:392)
>   at org.scalatest.tools.Runner$.doRunRunRunDaDoRunRun(Runner.scala:1334)
>   at org.scalatest.tools.Runner$$anonfun$runOptionallyWithPassFailReporter$2.apply(Runner.scala:1011)
>   at org.scalatest.tools.Runner$$anonfun$runOptionallyWithPassFailReporter$2.apply(Runner.scala:1010)
>   at org.scalatest.tools.Runner$.withClassLoaderAndDispatchReporter(Runner.scala:1500)
>   at org.scalatest.tools.Runner$.runOptionallyWithPassFailReporter(Runner.scala:1010)
>   at org.scalatest.tools.Runner$.run(Runner.scala:850)
>   at org.scalatest.tools.Runner.run(Runner.scala)
>   at org.jetbrains.plugins.scala.testingSupport.scalaTest.ScalaTestRunner.runScalaTest2(ScalaTestRunner.java:133)
>   at org.jetbrains.plugins.scala.testingSupport.scalaTest.ScalaTestRunner.main(ScalaTestRunner.java:27)
> Caused by: java.lang.reflect.InvocationTargetException
>   at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>   at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
>   at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>   at java.lang.reflect.Method.invoke(Method.java:498)
>   at org.apache.spark.sql.hive.client.Shim_v0_13.getPartitionsByFilter(HiveShim.scala:761)
>   ... 66 more
> Caused by: MetaException(message:Filtering is supported only on partition keys of type string)
>   at org.apache.hadoop.hive.metastore.parser.ExpressionTree$FilterBuilder.setError(ExpressionTree.java:185)
>   at org.apache.hadoop.hive.metastore.parser.ExpressionTree$LeafNode.getJdoFilterPushdownParam(ExpressionTree.java:440)
>   at org.apache.hadoop.hive.metastore.parser.ExpressionTree$LeafNode.generateJDOFilterOverPartitions(ExpressionTree.java:357)
>   at org.apache.hadoop.hive.metastore.parser.ExpressionTree$LeafNode.generateJDOFilter(ExpressionTree.java:279)
>   at org.apache.hadoop.hive.metastore.parser.ExpressionTree.generateJDOFilterFragment(ExpressionTree.java:578)
>   at org.apache.hadoop.hive.metastore.ObjectStore.makeQueryFilterString(ObjectStore.java:2615)
>   at org.apache.hadoop.hive.metastore.ObjectStore.getPartitionsViaOrmFilter(ObjectStore.java:2199)
>   at org.apache.hadoop.hive.metastore.ObjectStore.access$500(ObjectStore.java:160)
>   at org.apache.hadoop.hive.metastore.ObjectStore$5.getJdoResult(ObjectStore.java:2530)
>   at org.apache.hadoop.hive.metastore.ObjectStore$5.getJdoResult(ObjectStore.java:2515)
>   at org.apache.hadoop.hive.metastore.ObjectStore$GetHelper.run(ObjectStore.java:2391)
>   at org.apache.hadoop.hive.metastore.ObjectStore.getPartitionsByFilterInternal(ObjectStore.java:2532)
>   at org.apache.hadoop.hive.metastore.ObjectStore.getPartitionsByFilter(ObjectStore.java:2335)
>   at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>   at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
>   at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>   at java.lang.reflect.Method.invoke(Method.java:498)
>   at org.apache.hadoop.hive.metastore.RawStoreProxy.invoke(RawStoreProxy.java:114)
>   at com.sun.proxy.$Proxy9.getPartitionsByFilter(Unknown Source)
>   at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.get_partitions_by_filter(HiveMetaStore.java:4448)
>   at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>   at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
>   at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>   at java.lang.reflect.Method.invoke(Method.java:498)
>   at org.apache.hadoop.hive.metastore.RetryingHMSHandler.invoke(RetryingHMSHandler.java:107)
>   at com.sun.proxy.$Proxy11.get_partitions_by_filter(Unknown Source)
>   at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.listPartitionsByFilter(HiveMetaStoreClient.java:1105)
>   at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>   at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
>   at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>   at java.lang.reflect.Method.invoke(Method.java:498)
>   at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.invoke(RetryingMetaStoreClient.java:156)
>   at com.sun.proxy.$Proxy12.listPartitionsByFilter(Unknown Source)
>   at org.apache.hadoop.hive.ql.metadata.Hive.getPartitionsByFilter(Hive.java:2254)
>   ... 71 more
> {noformat}
> The reason is that Hive partition pruning is supported only on partition keys of type string or integral types.



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