[
https://issues.apache.org/jira/browse/HIVE-7747?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14102589#comment-14102589
]
Venki Korukanti commented on HIVE-7747:
---------------------------------------
When I run the spark job locally (spark.master=local), it completes
successfully. It repros only on the Spark cluster. Similar exception is seen in
HIVE-7437. HIVE-7437 suggested shading jetty/servlet classes, but I still see
the same exception.
> Submitting a query to Spark from HiveServer2 fails [Spark Branch]
> -----------------------------------------------------------------
>
> Key: HIVE-7747
> URL: https://issues.apache.org/jira/browse/HIVE-7747
> Project: Hive
> Issue Type: Bug
> Components: Spark
> Affects Versions: spark-branch
> Reporter: Venki Korukanti
> Assignee: Venki Korukanti
> Fix For: spark-branch
>
>
> {{spark.serializer}} is set to
> {{org.apache.spark.serializer.KryoSerializer}}. Same configuration works fine
> from Hive CLI.
> Spark tasks fails with following error:
> {code}
> Job aborted due to stage failure: Task 0 in stage 1.0 failed 4 times, most
> recent failure: Lost task 0.3 in stage 1.0 (TID 9, 192.168.168.216):
> java.lang.IllegalStateException: unread block data
>
> java.io.ObjectInputStream$BlockDataInputStream.setBlockDataMode(ObjectInputStream.java:2421)
> java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1382)
>
> java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
> java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915)
>
> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
> java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
> java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
>
> org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:62)
>
> org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:84)
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:181)
>
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> java.lang.Thread.run(Thread.java:744)
> {code}
--
This message was sent by Atlassian JIRA
(v6.2#6252)
