pankaj created SPARK-6456:
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Summary: 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: Spark Core, SQL
Reporter: pankaj
Fix For: 1.2.1
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.
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)
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