[
https://issues.apache.org/jira/browse/SPARK-27652?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Tongqing Qiu updated SPARK-27652:
---------------------------------
Affects Version/s: 2.4.1
2.4.2
> Caught Hive MetaException when query by partition (partition col start with
> underscore)
> ---------------------------------------------------------------------------------------
>
> Key: SPARK-27652
> URL: https://issues.apache.org/jira/browse/SPARK-27652
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.4.1, 2.4.2, 2.4.3
> Reporter: Tongqing Qiu
> Priority: Minor
>
> create a table, set location as parquet, do msck repair table to get the data.
> But when query with partition column, got some errors (adding backtick would
> not help)
> {code:java}
> select count from some_table where `_partition_date` = '2015-01-01'{code}
> Error
> {code:java}
> com.databricks.backend.common.rpc.DatabricksExceptions$SQLExecutionException:
> 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:783)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getPartitionsByFilter$1.apply(HiveClientImpl.scala:774)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getPartitionsByFilter$1.apply(HiveClientImpl.scala:772)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$withHiveState$1.apply(HiveClientImpl.scala:322)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$retryLocked$1.apply(HiveClientImpl.scala:230)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$retryLocked$1.apply(HiveClientImpl.scala:222)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.synchronizeOnObject(HiveClientImpl.scala:266)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.retryLocked(HiveClientImpl.scala:222)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.withHiveState(HiveClientImpl.scala:305)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.getPartitionsByFilter(HiveClientImpl.scala:772)
> at
> org.apache.spark.sql.hive.client.PoolingHiveClient$$anonfun$getPartitionsByFilter$1.apply(PoolingHiveClient.scala:373)
> at
> org.apache.spark.sql.hive.client.PoolingHiveClient$$anonfun$getPartitionsByFilter$1.apply(PoolingHiveClient.scala:372)
> at
> org.apache.spark.sql.hive.client.PoolingHiveClient.withHiveClient(PoolingHiveClient.scala:101)
> at
> org.apache.spark.sql.hive.client.PoolingHiveClient.getPartitionsByFilter(PoolingHiveClient.scala:372)
> at
> org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$listPartitionsByFilter$1.apply(HiveExternalCatalog.scala:1295)
> at
> org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$listPartitionsByFilter$1.apply(HiveExternalCatalog.scala:1288)
> at
> org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$withClient$1$$anonfun$apply$1.apply(HiveExternalCatalog.scala:141)
> at
> org.apache.spark.sql.hive.HiveExternalCatalog.org$apache$spark$sql$hive$HiveExternalCatalog$$maybeSynchronized(HiveExternalCatalog.scala:104)
> at
> org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$withClient$1.apply(HiveExternalCatalog.scala:139)
> at
> com.databricks.backend.daemon.driver.ProgressReporter$.withStatusCode(ProgressReporter.scala:345)
> at
> com.databricks.backend.daemon.driver.ProgressReporter$.withStatusCode(ProgressReporter.scala:331)
> at
> com.databricks.spark.util.SparkDatabricksProgressReporter$.withStatusCode(ProgressReporter.scala:23)
> at
> org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:137)
> at
> org.apache.spark.sql.hive.HiveExternalCatalog.listPartitionsByFilter(HiveExternalCatalog.scala:1288)
> at
> org.apache.spark.sql.catalyst.catalog.ExternalCatalogWithListener.listPartitionsByFilter(ExternalCatalogWithListener.scala:261)
> at
> org.apache.spark.sql.catalyst.catalog.SessionCatalog.listPartitionsByFilter(SessionCatalog.scala:1045)
> at
> org.apache.spark.sql.execution.datasources.CatalogFileIndex.filterPartitions(CatalogFileIndex.scala:73)
> at
> org.apache.spark.sql.execution.datasources.PruneFileSourcePartitions$$anonfun$apply$1.applyOrElse(PruneFileSourcePartitions.scala:62)
> at
> org.apache.spark.sql.execution.datasources.PruneFileSourcePartitions$$anonfun$apply$1.applyOrElse(PruneFileSourcePartitions.scala:27)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$2.apply(TreeNode.scala:277)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$2.apply(TreeNode.scala:277)
> at
> org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:77)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:276)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDown(LogicalPlan.scala:29)
> at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$class.transformDown(AnalysisHelper.scala:149)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:282)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:282)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$8.apply(TreeNode.scala:351)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:208)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:349)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:282)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDown(LogicalPlan.scala:29)
> at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$class.transformDown(AnalysisHelper.scala:149)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:282)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:282)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$8.apply(TreeNode.scala:351)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:208)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:349)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:282)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDown(LogicalPlan.scala:29)
> at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$class.transformDown(AnalysisHelper.scala:149)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:282)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:282)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$8.apply(TreeNode.scala:351)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:208)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:349)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:282)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDown(LogicalPlan.scala:29)
> at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$class.transformDown(AnalysisHelper.scala:149)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29)
> at
> org.apache.spark.sql.execution.datasources.PruneFileSourcePartitions$.apply(PruneFileSourcePartitions.scala:27)
> at
> org.apache.spark.sql.execution.datasources.PruneFileSourcePartitions$.apply(PruneFileSourcePartitions.scala:26)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:112)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:109)
> at
> scala.collection.IndexedSeqOptimized$class.foldl(IndexedSeqOptimized.scala:57)
> at
> scala.collection.IndexedSeqOptimized$class.foldLeft(IndexedSeqOptimized.scala:66)
> at scala.collection.mutable.WrappedArray.foldLeft(WrappedArray.scala:35) at
> org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:109)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:101)
> at scala.collection.immutable.List.foreach(List.scala:392) at
> org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:101)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$executeAndTrack$1.apply(RuleExecutor.scala:80)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$executeAndTrack$1.apply(RuleExecutor.scala:80)
> at
> org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:88)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor.executeAndTrack(RuleExecutor.scala:79)
> at
> org.apache.spark.sql.execution.QueryExecution$$anonfun$optimizedPlan$1.apply(QueryExecution.scala:92)
> at
> org.apache.spark.sql.execution.QueryExecution$$anonfun$optimizedPlan$1.apply(QueryExecution.scala:92)
> at
> org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:111)
> at
> org.apache.spark.sql.execution.QueryExecution.optimizedPlan$lzycompute(QueryExecution.scala:91)
> at
> org.apache.spark.sql.execution.QueryExecution.optimizedPlan(QueryExecution.scala:91)
> at
> org.apache.spark.sql.execution.QueryExecution$$anonfun$sparkPlan$1.apply(QueryExecution.scala:99)
> at
> org.apache.spark.sql.execution.QueryExecution$$anonfun$sparkPlan$1.apply(QueryExecution.scala:95)
> at
> org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:111)
> at
> org.apache.spark.sql.execution.QueryExecution.sparkPlan$lzycompute(QueryExecution.scala:95)
> at
> org.apache.spark.sql.execution.QueryExecution.sparkPlan(QueryExecution.scala:95)
> at
> org.apache.spark.sql.execution.QueryExecution$$anonfun$executedPlan$1.apply(QueryExecution.scala:106)
> at
> org.apache.spark.sql.execution.QueryExecution$$anonfun$executedPlan$1.apply(QueryExecution.scala:105)
> at
> org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:111)
> at
> org.apache.spark.sql.execution.QueryExecution.executedPlan$lzycompute(QueryExecution.scala:105)
> at
> org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:105)
> at
> org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$withAction(Dataset.scala:3419)
> at org.apache.spark.sql.Dataset.collectResult(Dataset.scala:2818) at
> com.databricks.backend.daemon.driver.OutputAggregator$.withOutputAggregation0(OutputAggregator.scala:136)
> at
> com.databricks.backend.daemon.driver.OutputAggregator$.withOutputAggregation(OutputAggregator.scala:52)
> at
> com.databricks.backend.daemon.driver.SQLDriverLocal.executeSql(SQLDriverLocal.scala:105)
> at
> com.databricks.backend.daemon.driver.SQLDriverLocal.repl(SQLDriverLocal.scala:136)
> at
> com.databricks.backend.daemon.driver.DriverLocal$$anonfun$execute$8.apply(DriverLocal.scala:323)
> at
> com.databricks.backend.daemon.driver.DriverLocal$$anonfun$execute$8.apply(DriverLocal.scala:303)
> at
> com.databricks.logging.UsageLogging$$anonfun$withAttributionContext$1.apply(UsageLogging.scala:235)
> at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58) at
> com.databricks.logging.UsageLogging$class.withAttributionContext(UsageLogging.scala:230)
> at
> com.databricks.backend.daemon.driver.DriverLocal.withAttributionContext(DriverLocal.scala:47)
> at
> com.databricks.logging.UsageLogging$class.withAttributionTags(UsageLogging.scala:268)
> at
> com.databricks.backend.daemon.driver.DriverLocal.withAttributionTags(DriverLocal.scala:47)
> at
> com.databricks.backend.daemon.driver.DriverLocal.execute(DriverLocal.scala:303)
> at
> com.databricks.backend.daemon.driver.DriverWrapper$$anonfun$tryExecutingCommand$2.apply(DriverWrapper.scala:591)
> at
> com.databricks.backend.daemon.driver.DriverWrapper$$anonfun$tryExecutingCommand$2.apply(DriverWrapper.scala:591)
> at scala.util.Try$.apply(Try.scala:192) at
> com.databricks.backend.daemon.driver.DriverWrapper.tryExecutingCommand(DriverWrapper.scala:586)
> at
> com.databricks.backend.daemon.driver.DriverWrapper.getCommandOutputAndError(DriverWrapper.scala:477)
> at
> com.databricks.backend.daemon.driver.DriverWrapper.executeCommand(DriverWrapper.scala:544)
> at
> com.databricks.backend.daemon.driver.DriverWrapper.runInnerLoop(DriverWrapper.scala:383)
> at
> com.databricks.backend.daemon.driver.DriverWrapper.runInner(DriverWrapper.scala:330)
> at
> com.databricks.backend.daemon.driver.DriverWrapper.run(DriverWrapper.scala:216)
> at java.lang.Thread.run(Thread.java:748) 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:770)
> ... 120 more Caused by: MetaException(message:Error parsing partition filter
> : line 1:0 no viable alternative at character '_') at
> org.apache.hadoop.hive.metastore.ObjectStore.getFilterParser(ObjectStore.java:2371)
> at
> org.apache.hadoop.hive.metastore.ObjectStore.getPartitionsByFilterInternal(ObjectStore.java:2314)
> at
> org.apache.hadoop.hive.metastore.ObjectStore.getPartitionsByFilter(ObjectStore.java:2165)
> 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:108)
> at com.sun.proxy.$Proxy39.getPartitionsByFilter(Unknown Source) at
> org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.get_partitions_by_filter(HiveMetaStore.java:3760)
> 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:105)
> at com.sun.proxy.$Proxy40.get_partitions_by_filter(Unknown Source) at
> org.apache.hadoop.hive.metastore.HiveMetaStoreClient.listPartitionsByFilter(HiveMetaStoreClient.java:903)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498) at
> org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.invoke(RetryingMetaStoreClient.java:89)
> at com.sun.proxy.$Proxy41.listPartitionsByFilter(Unknown Source) at
> org.apache.hadoop.hive.ql.metadata.Hive.getPartitionsByFilter(Hive.java:1944)
> ... 125 more at
> com.databricks.backend.daemon.driver.SQLDriverLocal.executeSql(SQLDriverLocal.scala:122)
> at
> com.databricks.backend.daemon.driver.SQLDriverLocal.repl(SQLDriverLocal.scala:136)
> at
> com.databricks.backend.daemon.driver.DriverLocal$$anonfun$execute$8.apply(DriverLocal.scala:323)
> at
> com.databricks.backend.daemon.driver.DriverLocal$$anonfun$execute$8.apply(DriverLocal.scala:303)
> at
> com.databricks.logging.UsageLogging$$anonfun$withAttributionContext$1.apply(UsageLogging.scala:235)
> at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58) at
> com.databricks.logging.UsageLogging$class.withAttributionContext(UsageLogging.scala:230)
> at
> com.databricks.backend.daemon.driver.DriverLocal.withAttributionContext(DriverLocal.scala:47)
> at
> com.databricks.logging.UsageLogging$class.withAttributionTags(UsageLogging.scala:268)
> at
> com.databricks.backend.daemon.driver.DriverLocal.withAttributionTags(DriverLocal.scala:47)
> at
> com.databricks.backend.daemon.driver.DriverLocal.execute(DriverLocal.scala:303)
> at
> com.databricks.backend.daemon.driver.DriverWrapper$$anonfun$tryExecutingCommand$2.apply(DriverWrapper.scala:591)
> at
> com.databricks.backend.daemon.driver.DriverWrapper$$anonfun$tryExecutingCommand$2.apply(DriverWrapper.scala:591)
> at scala.util.Try$.apply(Try.scala:192) at
> com.databricks.backend.daemon.driver.DriverWrapper.tryExecutingCommand(DriverWrapper.scala:586)
> at
> com.databricks.backend.daemon.driver.DriverWrapper.getCommandOutputAndError(DriverWrapper.scala:477)
> at
> com.databricks.backend.daemon.driver.DriverWrapper.executeCommand(DriverWrapper.scala:544)
> at
> com.databricks.backend.daemon.driver.DriverWrapper.runInnerLoop(DriverWrapper.scala:383)
> at
> com.databricks.backend.daemon.driver.DriverWrapper.runInner(DriverWrapper.scala:330)
> at
> com.databricks.backend.daemon.driver.DriverWrapper.run(DriverWrapper.scala:216)
> at java.lang.Thread.run(Thread.java:748){code}
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