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

["deshanxiao (JIRA)" <ji...@apache.org>]

deshanxiao created SPARK-25100:
----------------------------------

             Summary: 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


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}
 



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org