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Posted to issues@spark.apache.org by "Patrick Wendell (JIRA)" <ji...@apache.org> on 2015/01/12 19:58:34 UTC
[jira] [Resolved] (SPARK-5102) CompressedMapStatus needs to be
registered with Kryo
[ https://issues.apache.org/jira/browse/SPARK-5102?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Patrick Wendell resolved SPARK-5102.
------------------------------------
Resolution: Fixed
Fix Version/s: 1.2.1
1.3.0
Fixed by: https://github.com/apache/spark/pull/4007
> CompressedMapStatus needs to be registered with Kryo
> ----------------------------------------------------
>
> Key: SPARK-5102
> URL: https://issues.apache.org/jira/browse/SPARK-5102
> Project: Spark
> Issue Type: Bug
> Affects Versions: 1.2.0
> Reporter: Daniel Darabos
> Assignee: Lianhui Wang
> Priority: Minor
> Fix For: 1.3.0, 1.2.1
>
>
> After upgrading from Spark 1.1.0 to 1.2.0 I got this exception:
> {code}
> Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost): java.lang.IllegalArgumentException: Class is not registered: org.apache.spark.scheduler.CompressedMapStatus
> Note: To register this class use: kryo.register(org.apache.spark.scheduler.CompressedMapStatus.class);
> at com.esotericsoftware.kryo.Kryo.getRegistration(Kryo.java:442)
> at com.esotericsoftware.kryo.util.DefaultClassResolver.writeClass(DefaultClassResolver.java:79)
> at com.esotericsoftware.kryo.Kryo.writeClass(Kryo.java:472)
> at com.esotericsoftware.kryo.Kryo.writeClassAndObject(Kryo.java:565)
> at org.apache.spark.serializer.KryoSerializerInstance.serialize(KryoSerializer.scala:165)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:206)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:745)
> {code}
> I had to register {{org.apache.spark.scheduler.CompressedMapStatus}} with Kryo. I think this should be done in {{spark/serializer/KryoSerializer.scala}}, unless instances of this class are not expected to be sent over the wire. (Maybe I'm doing something wrong?)
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