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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/08/13 14:56:00 UTC

[jira] [Commented] (SPARK-25100) Using KryoSerializer and setting registrationRequired true can lead job failed

    [ https://issues.apache.org/jira/browse/SPARK-25100?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16578376#comment-16578376 ] 

Apache Spark commented on SPARK-25100:
--------------------------------------

User 'deshanxiao' has created a pull request for this issue:
https://github.com/apache/spark/pull/22093

> Using KryoSerializer and setting registrationRequired true can lead job failed
> ------------------------------------------------------------------------------
>
>                 Key: SPARK-25100
>                 URL: https://issues.apache.org/jira/browse/SPARK-25100
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 2.3.1
>            Reporter: deshanxiao
>            Priority: Major
>
> When spark.serializer is org.apache.spark.serializer.KryoSerializer and  spark.kryo.registrationRequired is true in SparkCOnf. I invoked  saveAsNewAPIHadoopDataset to store data in hdfs. The job will fail because the class TaskCommitMessage hasn't be registered.
>  
> {code:java}
> java.lang.IllegalArgumentException: Class is not registered: org.apache.spark.internal.io.FileCommitProtocol$TaskCommitMessage
> Note: To register this class use: kryo.register(org.apache.spark.internal.io.FileCommitProtocol$TaskCommitMessage.class);
> at com.esotericsoftware.kryo.Kryo.getRegistration(Kryo.java:488)
> at com.twitter.chill.KryoBase.getRegistration(KryoBase.scala:52)
> at com.esotericsoftware.kryo.util.DefaultClassResolver.writeClass(DefaultClassResolver.java:97)
> at com.esotericsoftware.kryo.Kryo.writeClass(Kryo.java:517)
> at com.esotericsoftware.kryo.Kryo.writeClassAndObject(Kryo.java:622)
> at org.apache.spark.serializer.KryoSerializerInstance.serialize(KryoSerializer.scala:347)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:393)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> {code}
>  



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