[ https://issues.apache.org/jira/browse/SPARK-25100?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-25100: ------------------------------------ Assignee: Apache Spark > 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: Apache Spark > 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} > -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org