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Posted to issues@spark.apache.org by "Dongjoon Hyun (Jira)" <ji...@apache.org> on 2019/12/15 01:16:00 UTC
[jira] [Resolved] (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:all-tabpanel ]
Dongjoon Hyun resolved SPARK-25100.
-----------------------------------
Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 26714
[https://github.com/apache/spark/pull/26714]
> 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
> Assignee: deshanxiao
> Priority: Major
> Fix For: 3.0.0
>
>
> 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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