[
https://issues.apache.org/jira/browse/SPARK-6456?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Lian updated SPARK-6456:
------------------------------
Description:
Spark connects with Hive Metastore. I am able to run simple queries like show
table and select. but throws below exception while running query on the hive
Table having large number of partitions.
{noformat}
Exception in thread "main" java.lang.reflect.InvocationTargetException
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at
org.apache.spark.deploy.worker.DriverWrapper$.main(DriverWrapper.scala:40)
at`enter code here`
org.apache.spark.deploy.worker.DriverWrapper.main(DriverWrapper.scala)
Caused by: org.apache.hadoop.hive.ql.metadata.HiveException:
org.apache.thrift.transport.TTransportException:
java.net.SocketTimeoutException: Read timed out
at
org.apache.hadoop.hive.ql.metadata.Hive.getAllPartitionsOf(Hive.java:1785)
at
org.apache.spark.sql.hive.HiveShim$.getAllPartitionsOf(Shim13.scala:316)
at
org.apache.spark.sql.hive.HiveMetastoreCatalog.lookupRelation(HiveMetastoreCatalog.scala:86)
at
org.apache.spark.sql.hive.HiveContext$$anon$1.org$apache$spark$sql$catalyst$analysis$OverrideCatalog$$super$lookupRelation(HiveContext.scala:253)
at
org.apache.spark.sql.catalyst.analysis.OverrideCatalog$$anonfun$lookupRelation$3.apply(Catalog.scala:137)
at
org.apache.spark.sql.catalyst.analysis.OverrideCatalog$$anonfun$lookupRelation$3.apply(Catalog.scala:137)
at scala.Option.getOrElse(Option.scala:120)
at
org.apache.spark.sql.catalyst.analysis.OverrideCatalog$class.lookupRelation(Catalog.scala:137)
at
org.apache.spark.sql.hive.HiveContext$$anon$1.lookupRelation(HiveContext.scala:253)
at
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$5.applyOrElse(Analyzer.scala:143)
at
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$5.applyOrElse(Analyzer.scala:138)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:144)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:162)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at
scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
at
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
{noformat}
was:
Observation:
Spark connects with hive Metastore. i am able to run simple queries like
show table and select.
but throws below exception while running query on the hive Table having large
number of partitions.
{code}
Exception in thread "main" java.lang.reflect.InvocationTargetException
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at
org.apache.spark.deploy.worker.DriverWrapper$.main(DriverWrapper.scala:40)
at`enter code here`
org.apache.spark.deploy.worker.DriverWrapper.main(DriverWrapper.scala)
Caused by: org.apache.hadoop.hive.ql.metadata.HiveException:
org.apache.thrift.transport.TTransportException:
java.net.SocketTimeoutException: Read timed out
at
org.apache.hadoop.hive.ql.metadata.Hive.getAllPartitionsOf(Hive.java:1785)
at
org.apache.spark.sql.hive.HiveShim$.getAllPartitionsOf(Shim13.scala:316)
at
org.apache.spark.sql.hive.HiveMetastoreCatalog.lookupRelation(HiveMetastoreCatalog.scala:86)
at
org.apache.spark.sql.hive.HiveContext$$anon$1.org$apache$spark$sql$catalyst$analysis$OverrideCatalog$$super$lookupRelation(HiveContext.scala:253)
at
org.apache.spark.sql.catalyst.analysis.OverrideCatalog$$anonfun$lookupRelation$3.apply(Catalog.scala:137)
at
org.apache.spark.sql.catalyst.analysis.OverrideCatalog$$anonfun$lookupRelation$3.apply(Catalog.scala:137)
at scala.Option.getOrElse(Option.scala:120)
at
org.apache.spark.sql.catalyst.analysis.OverrideCatalog$class.lookupRelation(Catalog.scala:137)
at
org.apache.spark.sql.hive.HiveContext$$anon$1.lookupRelation(HiveContext.scala:253)
at
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$5.applyOrElse(Analyzer.scala:143)
at
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$5.applyOrElse(Analyzer.scala:138)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:144)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:162)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at
scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
at
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
{code}
> Spark Sql throwing exception on large partitioned data
> ------------------------------------------------------
>
> Key: SPARK-6456
> URL: https://issues.apache.org/jira/browse/SPARK-6456
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Reporter: pankaj
> Fix For: 1.2.1
>
>
> Spark connects with Hive Metastore. I am able to run simple queries like show
> table and select. but throws below exception while running query on the hive
> Table having large number of partitions.
> {noformat}
> Exception in thread "main" java.lang.reflect.InvocationTargetException
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:606)
> at
> org.apache.spark.deploy.worker.DriverWrapper$.main(DriverWrapper.scala:40)
> at`enter code here`
> org.apache.spark.deploy.worker.DriverWrapper.main(DriverWrapper.scala)
> Caused by: org.apache.hadoop.hive.ql.metadata.HiveException:
> org.apache.thrift.transport.TTransportException:
> java.net.SocketTimeoutException: Read timed out
> at
> org.apache.hadoop.hive.ql.metadata.Hive.getAllPartitionsOf(Hive.java:1785)
> at
> org.apache.spark.sql.hive.HiveShim$.getAllPartitionsOf(Shim13.scala:316)
> at
> org.apache.spark.sql.hive.HiveMetastoreCatalog.lookupRelation(HiveMetastoreCatalog.scala:86)
> at
> org.apache.spark.sql.hive.HiveContext$$anon$1.org$apache$spark$sql$catalyst$analysis$OverrideCatalog$$super$lookupRelation(HiveContext.scala:253)
> at
> org.apache.spark.sql.catalyst.analysis.OverrideCatalog$$anonfun$lookupRelation$3.apply(Catalog.scala:137)
> at
> org.apache.spark.sql.catalyst.analysis.OverrideCatalog$$anonfun$lookupRelation$3.apply(Catalog.scala:137)
> at scala.Option.getOrElse(Option.scala:120)
> at
> org.apache.spark.sql.catalyst.analysis.OverrideCatalog$class.lookupRelation(Catalog.scala:137)
> at
> org.apache.spark.sql.hive.HiveContext$$anon$1.lookupRelation(HiveContext.scala:253)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$5.applyOrElse(Analyzer.scala:143)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$5.applyOrElse(Analyzer.scala:138)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:144)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:162)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at
> scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
> {noformat}
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
