[jira] [Comment Edited] (SPARK-26568) Too many partitions may cause thriftServer frequently Full GC
[
https://issues.apache.org/jira/browse/SPARK-26568?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17585103#comment-17585103
]
gglinux edited comment on SPARK-26568 at 8/26/22 2:46 AM:
--
We encountered the same problem and can be reproduced.[~srowen] [~cane]
When there are 200 fields and 18 partitions. This problem can be triggered.
Please refer to the following comments for specific logs
was (Author: JIRAUSER294757):
We encountered the same problem and can be reproduced.
When there are 200 fields and 18 partitions. This problem can be triggered.
[^error.log]
> Too many partitions may cause thriftServer frequently Full GC
> -
>
> Key: SPARK-26568
> URL: https://issues.apache.org/jira/browse/SPARK-26568
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 2.4.0
>Reporter: zhoukang
>Priority: Major
> Attachments: error.log
>
>
> The reason is that:
> first we have a table with many partitions(may be several hundred);second, we
> have some concurrent queries.Then the long-running thriftServer may encounter
> OOM issue.
> Here is a case:
> call stack of OOM thread:
> {code:java}
> pool-34-thread-10
> at
> org.apache.hadoop.hive.metastore.api.StorageDescriptor.(Lorg/apache/hadoop/hive/metastore/api/StorageDescriptor;)V
> (StorageDescriptor.java:240)
> at
> org.apache.hadoop.hive.metastore.api.Partition.(Lorg/apache/hadoop/hive/metastore/api/Partition;)V
> (Partition.java:216)
> at
> org.apache.hadoop.hive.metastore.HiveMetaStoreClient.deepCopy(Lorg/apache/hadoop/hive/metastore/api/Partition;)Lorg/apache/hadoop/hive/metastore/api/Partition;
> (HiveMetaStoreClient.java:1343)
> at
> org.apache.hadoop.hive.metastore.HiveMetaStoreClient.deepCopyPartitions(Ljava/util/Collection;Ljava/util/List;)Ljava/util/List;
> (HiveMetaStoreClient.java:1409)
> at
> org.apache.hadoop.hive.metastore.HiveMetaStoreClient.deepCopyPartitions(Ljava/util/List;)Ljava/util/List;
> (HiveMetaStoreClient.java:1397)
> at
> org.apache.hadoop.hive.metastore.HiveMetaStoreClient.listPartitionsByFilter(Ljava/lang/String;Ljava/lang/String;Ljava/lang/String;S)Ljava/util/List;
> (HiveMetaStoreClient.java:914)
> at
> sun.reflect.GeneratedMethodAccessor98.invoke(Ljava/lang/Object;[Ljava/lang/Object;)Ljava/lang/Object;
> (Unknown Source)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(Ljava/lang/Object;[Ljava/lang/Object;)Ljava/lang/Object;
> (DelegatingMethodAccessorImpl.java:43)
> at
> java.lang.reflect.Method.invoke(Ljava/lang/Object;[Ljava/lang/Object;)Ljava/lang/Object;
> (Method.java:606)
> at
> org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.invoke(Ljava/lang/Object;Ljava/lang/reflect/Method;[Ljava/lang/Object;)Ljava/lang/Object;
> (RetryingMetaStoreClient.java:90)
> at
> com.sun.proxy.$Proxy30.listPartitionsByFilter(Ljava/lang/String;Ljava/lang/String;Ljava/lang/String;S)Ljava/util/List;
> (Unknown Source)
> at
> org.apache.hadoop.hive.ql.metadata.Hive.getPartitionsByFilter(Lorg/apache/hadoop/hive/ql/metadata/Table;Ljava/lang/String;)Ljava/util/List;
> (Hive.java:1967)
> at
> sun.reflect.GeneratedMethodAccessor97.invoke(Ljava/lang/Object;[Ljava/lang/Object;)Ljava/lang/Object;
> (Unknown Source)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(Ljava/lang/Object;[Ljava/lang/Object;)Ljava/lang/Object;
> (DelegatingMethodAccessorImpl.java:43)
> at
> java.lang.reflect.Method.invoke(Ljava/lang/Object;[Ljava/lang/Object;)Ljava/lang/Object;
> (Method.java:606)
> at
> org.apache.spark.sql.hive.client.Shim_v0_13.getPartitionsByFilter(Lorg/apache/hadoop/hive/ql/metadata/Hive;Lorg/apache/hadoop/hive/ql/metadata/Table;Lscala/collection/Seq;)Lscala/collection/Seq;
> (HiveShim.scala:602)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getPartitionsByFilter$1.apply()Lscala/collection/Seq;
> (HiveClientImpl.scala:608)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getPartitionsByFilter$1.apply()Ljava/lang/Object;
> (HiveClientImpl.scala:606)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$withHiveState$1.apply()Ljava/lang/Object;
> (HiveClientImpl.scala:321)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.liftedTree1$1(Lscala/Function0;Lscala/runtime/IntRef;Lscala/runtime/ObjectRef;Ljava/lang/Object;)V
> (HiveClientImpl.scala:264)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.retryLocked(Lscala/Function0;)Ljava/lang/Object;
> (HiveClientImpl.scala:263)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.withHiveState(Lscala/Function0;)Ljava/lang/Object;
> (HiveClientImpl.scala:307)
> at
>
[jira] [Comment Edited] (SPARK-26568) Too many partitions may cause thriftServer frequently Full GC
[
https://issues.apache.org/jira/browse/SPARK-26568?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17585104#comment-17585104
]
gglinux edited comment on SPARK-26568 at 8/26/22 2:46 AM:
--
{code:java}
at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:56)
at
org.apache.spark.sql.execution.exchange.ShuffleExchangeExec.doExecute(ShuffleExchangeExec.scala:119)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
at org.apache.spark.sql.execution.SortExec.doExecute(SortExec.scala:101)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
at
org.apache.spark.sql.execution.window.WindowExec.doExecute(WindowExec.scala:302)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
at
org.apache.spark.sql.execution.FilterExec.doExecute(basicPhysicalOperators.scala:213)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
at
org.apache.spark.sql.execution.ProjectExec.doExecute(basicPhysicalOperators.scala:70)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
at
org.apache.spark.sql.execution.UnionExec$$anonfun$doExecute$1.apply(basicPhysicalOperators.scala:571)
at
org.apache.spark.sql.execution.UnionExec$$anonfun$doExecute$1.apply(basicPhysicalOperators.scala:571)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at scala.collection.immutable.List.foreach(List.scala:392)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
at scala.collection.immutable.List.map(List.scala:296)
at
org.apache.spark.sql.execution.UnionExec.doExecute(basicPhysicalOperators.scala:571)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
at
[jira] [Commented] (SPARK-26568) Too many partitions may cause thriftServer frequently Full GC
[
https://issues.apache.org/jira/browse/SPARK-26568?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17585104#comment-17585104
]
gglinux commented on SPARK-26568:
-
{code:java}
//代码占位符
at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:56)
at
org.apache.spark.sql.execution.exchange.ShuffleExchangeExec.doExecute(ShuffleExchangeExec.scala:119)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
at org.apache.spark.sql.execution.SortExec.doExecute(SortExec.scala:101)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
at
org.apache.spark.sql.execution.window.WindowExec.doExecute(WindowExec.scala:302)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
at
org.apache.spark.sql.execution.FilterExec.doExecute(basicPhysicalOperators.scala:213)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
at
org.apache.spark.sql.execution.ProjectExec.doExecute(basicPhysicalOperators.scala:70)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
at
org.apache.spark.sql.execution.UnionExec$$anonfun$doExecute$1.apply(basicPhysicalOperators.scala:571)
at
org.apache.spark.sql.execution.UnionExec$$anonfun$doExecute$1.apply(basicPhysicalOperators.scala:571)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at scala.collection.immutable.List.foreach(List.scala:392)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
at scala.collection.immutable.List.map(List.scala:296)
at
org.apache.spark.sql.execution.UnionExec.doExecute(basicPhysicalOperators.scala:571)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
at
[jira] [Commented] (SPARK-26568) Too many partitions may cause thriftServer frequently Full GC
[
https://issues.apache.org/jira/browse/SPARK-26568?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17585103#comment-17585103
]
gglinux commented on SPARK-26568:
-
We encountered the same problem and can be reproduced.
When there are 200 fields and 18 partitions. This problem can be triggered.
[^error.log]
> Too many partitions may cause thriftServer frequently Full GC
> -
>
> Key: SPARK-26568
> URL: https://issues.apache.org/jira/browse/SPARK-26568
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 2.4.0
>Reporter: zhoukang
>Priority: Major
> Attachments: error.log
>
>
> The reason is that:
> first we have a table with many partitions(may be several hundred);second, we
> have some concurrent queries.Then the long-running thriftServer may encounter
> OOM issue.
> Here is a case:
> call stack of OOM thread:
> {code:java}
> pool-34-thread-10
> at
> org.apache.hadoop.hive.metastore.api.StorageDescriptor.(Lorg/apache/hadoop/hive/metastore/api/StorageDescriptor;)V
> (StorageDescriptor.java:240)
> at
> org.apache.hadoop.hive.metastore.api.Partition.(Lorg/apache/hadoop/hive/metastore/api/Partition;)V
> (Partition.java:216)
> at
> org.apache.hadoop.hive.metastore.HiveMetaStoreClient.deepCopy(Lorg/apache/hadoop/hive/metastore/api/Partition;)Lorg/apache/hadoop/hive/metastore/api/Partition;
> (HiveMetaStoreClient.java:1343)
> at
> org.apache.hadoop.hive.metastore.HiveMetaStoreClient.deepCopyPartitions(Ljava/util/Collection;Ljava/util/List;)Ljava/util/List;
> (HiveMetaStoreClient.java:1409)
> at
> org.apache.hadoop.hive.metastore.HiveMetaStoreClient.deepCopyPartitions(Ljava/util/List;)Ljava/util/List;
> (HiveMetaStoreClient.java:1397)
> at
> org.apache.hadoop.hive.metastore.HiveMetaStoreClient.listPartitionsByFilter(Ljava/lang/String;Ljava/lang/String;Ljava/lang/String;S)Ljava/util/List;
> (HiveMetaStoreClient.java:914)
> at
> sun.reflect.GeneratedMethodAccessor98.invoke(Ljava/lang/Object;[Ljava/lang/Object;)Ljava/lang/Object;
> (Unknown Source)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(Ljava/lang/Object;[Ljava/lang/Object;)Ljava/lang/Object;
> (DelegatingMethodAccessorImpl.java:43)
> at
> java.lang.reflect.Method.invoke(Ljava/lang/Object;[Ljava/lang/Object;)Ljava/lang/Object;
> (Method.java:606)
> at
> org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.invoke(Ljava/lang/Object;Ljava/lang/reflect/Method;[Ljava/lang/Object;)Ljava/lang/Object;
> (RetryingMetaStoreClient.java:90)
> at
> com.sun.proxy.$Proxy30.listPartitionsByFilter(Ljava/lang/String;Ljava/lang/String;Ljava/lang/String;S)Ljava/util/List;
> (Unknown Source)
> at
> org.apache.hadoop.hive.ql.metadata.Hive.getPartitionsByFilter(Lorg/apache/hadoop/hive/ql/metadata/Table;Ljava/lang/String;)Ljava/util/List;
> (Hive.java:1967)
> at
> sun.reflect.GeneratedMethodAccessor97.invoke(Ljava/lang/Object;[Ljava/lang/Object;)Ljava/lang/Object;
> (Unknown Source)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(Ljava/lang/Object;[Ljava/lang/Object;)Ljava/lang/Object;
> (DelegatingMethodAccessorImpl.java:43)
> at
> java.lang.reflect.Method.invoke(Ljava/lang/Object;[Ljava/lang/Object;)Ljava/lang/Object;
> (Method.java:606)
> at
> org.apache.spark.sql.hive.client.Shim_v0_13.getPartitionsByFilter(Lorg/apache/hadoop/hive/ql/metadata/Hive;Lorg/apache/hadoop/hive/ql/metadata/Table;Lscala/collection/Seq;)Lscala/collection/Seq;
> (HiveShim.scala:602)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getPartitionsByFilter$1.apply()Lscala/collection/Seq;
> (HiveClientImpl.scala:608)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getPartitionsByFilter$1.apply()Ljava/lang/Object;
> (HiveClientImpl.scala:606)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$withHiveState$1.apply()Ljava/lang/Object;
> (HiveClientImpl.scala:321)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.liftedTree1$1(Lscala/Function0;Lscala/runtime/IntRef;Lscala/runtime/ObjectRef;Ljava/lang/Object;)V
> (HiveClientImpl.scala:264)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.retryLocked(Lscala/Function0;)Ljava/lang/Object;
> (HiveClientImpl.scala:263)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.withHiveState(Lscala/Function0;)Ljava/lang/Object;
> (HiveClientImpl.scala:307)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.getPartitionsByFilter(Lorg/apache/spark/sql/catalyst/catalog/CatalogTable;Lscala/collection/Seq;)Lscala/collection/Seq;
> (HiveClientImpl.scala:606)
> at
> org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$listPartitionsByFilter$1.apply()Lscala/collection/Seq;
> (HiveExternalCatalog.scala:1017)
> at
>
[jira] [Updated] (SPARK-26568) Too many partitions may cause thriftServer frequently Full GC
[
https://issues.apache.org/jira/browse/SPARK-26568?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
gglinux updated SPARK-26568:
Attachment: error.log
> Too many partitions may cause thriftServer frequently Full GC
> -
>
> Key: SPARK-26568
> URL: https://issues.apache.org/jira/browse/SPARK-26568
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 2.4.0
>Reporter: zhoukang
>Priority: Major
> Attachments: error.log
>
>
> The reason is that:
> first we have a table with many partitions(may be several hundred);second, we
> have some concurrent queries.Then the long-running thriftServer may encounter
> OOM issue.
> Here is a case:
> call stack of OOM thread:
> {code:java}
> pool-34-thread-10
> at
> org.apache.hadoop.hive.metastore.api.StorageDescriptor.(Lorg/apache/hadoop/hive/metastore/api/StorageDescriptor;)V
> (StorageDescriptor.java:240)
> at
> org.apache.hadoop.hive.metastore.api.Partition.(Lorg/apache/hadoop/hive/metastore/api/Partition;)V
> (Partition.java:216)
> at
> org.apache.hadoop.hive.metastore.HiveMetaStoreClient.deepCopy(Lorg/apache/hadoop/hive/metastore/api/Partition;)Lorg/apache/hadoop/hive/metastore/api/Partition;
> (HiveMetaStoreClient.java:1343)
> at
> org.apache.hadoop.hive.metastore.HiveMetaStoreClient.deepCopyPartitions(Ljava/util/Collection;Ljava/util/List;)Ljava/util/List;
> (HiveMetaStoreClient.java:1409)
> at
> org.apache.hadoop.hive.metastore.HiveMetaStoreClient.deepCopyPartitions(Ljava/util/List;)Ljava/util/List;
> (HiveMetaStoreClient.java:1397)
> at
> org.apache.hadoop.hive.metastore.HiveMetaStoreClient.listPartitionsByFilter(Ljava/lang/String;Ljava/lang/String;Ljava/lang/String;S)Ljava/util/List;
> (HiveMetaStoreClient.java:914)
> at
> sun.reflect.GeneratedMethodAccessor98.invoke(Ljava/lang/Object;[Ljava/lang/Object;)Ljava/lang/Object;
> (Unknown Source)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(Ljava/lang/Object;[Ljava/lang/Object;)Ljava/lang/Object;
> (DelegatingMethodAccessorImpl.java:43)
> at
> java.lang.reflect.Method.invoke(Ljava/lang/Object;[Ljava/lang/Object;)Ljava/lang/Object;
> (Method.java:606)
> at
> org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.invoke(Ljava/lang/Object;Ljava/lang/reflect/Method;[Ljava/lang/Object;)Ljava/lang/Object;
> (RetryingMetaStoreClient.java:90)
> at
> com.sun.proxy.$Proxy30.listPartitionsByFilter(Ljava/lang/String;Ljava/lang/String;Ljava/lang/String;S)Ljava/util/List;
> (Unknown Source)
> at
> org.apache.hadoop.hive.ql.metadata.Hive.getPartitionsByFilter(Lorg/apache/hadoop/hive/ql/metadata/Table;Ljava/lang/String;)Ljava/util/List;
> (Hive.java:1967)
> at
> sun.reflect.GeneratedMethodAccessor97.invoke(Ljava/lang/Object;[Ljava/lang/Object;)Ljava/lang/Object;
> (Unknown Source)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(Ljava/lang/Object;[Ljava/lang/Object;)Ljava/lang/Object;
> (DelegatingMethodAccessorImpl.java:43)
> at
> java.lang.reflect.Method.invoke(Ljava/lang/Object;[Ljava/lang/Object;)Ljava/lang/Object;
> (Method.java:606)
> at
> org.apache.spark.sql.hive.client.Shim_v0_13.getPartitionsByFilter(Lorg/apache/hadoop/hive/ql/metadata/Hive;Lorg/apache/hadoop/hive/ql/metadata/Table;Lscala/collection/Seq;)Lscala/collection/Seq;
> (HiveShim.scala:602)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getPartitionsByFilter$1.apply()Lscala/collection/Seq;
> (HiveClientImpl.scala:608)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getPartitionsByFilter$1.apply()Ljava/lang/Object;
> (HiveClientImpl.scala:606)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$withHiveState$1.apply()Ljava/lang/Object;
> (HiveClientImpl.scala:321)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.liftedTree1$1(Lscala/Function0;Lscala/runtime/IntRef;Lscala/runtime/ObjectRef;Ljava/lang/Object;)V
> (HiveClientImpl.scala:264)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.retryLocked(Lscala/Function0;)Ljava/lang/Object;
> (HiveClientImpl.scala:263)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.withHiveState(Lscala/Function0;)Ljava/lang/Object;
> (HiveClientImpl.scala:307)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.getPartitionsByFilter(Lorg/apache/spark/sql/catalyst/catalog/CatalogTable;Lscala/collection/Seq;)Lscala/collection/Seq;
> (HiveClientImpl.scala:606)
> at
> org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$listPartitionsByFilter$1.apply()Lscala/collection/Seq;
> (HiveExternalCatalog.scala:1017)
> at
> org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$listPartitionsByFilter$1.apply()Ljava/lang/Object;
> (HiveExternalCatalog.scala:1000)
> at
>
