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From "Sean Owen (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-2442) Add a Hadoop Writable serializer
Date Sat, 24 Jan 2015 13:06:34 GMT

     [ https://issues.apache.org/jira/browse/SPARK-2442?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Sean Owen resolved SPARK-2442.
------------------------------
    Resolution: Duplicate

> Add a Hadoop Writable serializer
> --------------------------------
>
>                 Key: SPARK-2442
>                 URL: https://issues.apache.org/jira/browse/SPARK-2442
>             Project: Spark
>          Issue Type: Bug
>            Reporter: Hari Shreedharan
>
> Using data read from hadoop files in shuffles can cause exceptions with the following
stacktrace:
> {code}
> java.io.NotSerializableException: org.apache.hadoop.io.BytesWritable
> 	at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1181)
> 	at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1541)
> 	at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1506)
> 	at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1429)
> 	at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1175)
> 	at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:347)
> 	at org.apache.spark.serializer.JavaSerializationStream.writeObject(JavaSerializer.scala:42)
> 	at org.apache.spark.storage.DiskBlockObjectWriter.write(BlockObjectWriter.scala:179)
> 	at org.apache.spark.scheduler.ShuffleMapTask$$anonfun$runTask$1.apply(ShuffleMapTask.scala:161)
> 	at org.apache.spark.scheduler.ShuffleMapTask$$anonfun$runTask$1.apply(ShuffleMapTask.scala:158)
> 	at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> 	at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> 	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:158)
> 	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
> 	at org.apache.spark.scheduler.Task.run(Task.scala:51)
> 	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:183)
> 	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1146)
> 	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> 	at java.lang.Thread.run(Thread.java:679)
> {code}
> This though seems to go away if Kyro serializer is used. I am wondering if adding a Hadoop-writables
friendly serializer makes sense as it is likely to perform better than Kyro without registration,
since Writables don't implement Serializable - so the serialization might not be the most
efficient.



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