[ https://issues.apache.org/jira/browse/SPARK-5102?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Patrick Wendell updated SPARK-5102: ----------------------------------- Target Version/s: 1.2.1 Assignee: Lianhui Wang > 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 > > 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?) -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org