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From "Brock Noland (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-7540) NotSerializableException encountered when using sortByKey transformation
Date Tue, 05 Aug 2014 09:23:12 GMT

    [ https://issues.apache.org/jira/browse/HIVE-7540?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14086035#comment-14086035
] 

Brock Noland commented on HIVE-7540:
------------------------------------

Hi [~lirui], it seems in Spark 1.1 RangePartitioner uses spark.serializer (https://github.com/apache/spark/commit/66135a341d9f8baecc149d13ae5511f14578c395).
Can you retry this on the spark 1.1 branch?

> NotSerializableException encountered when using sortByKey transformation
> ------------------------------------------------------------------------
>
>                 Key: HIVE-7540
>                 URL: https://issues.apache.org/jira/browse/HIVE-7540
>             Project: Hive
>          Issue Type: Bug
>          Components: Spark
>         Environment: Spark-1.0.1
>            Reporter: Rui Li
>
> This exception is thrown when sortByKey is used as the shuffle transformation between
MapWork and ReduceWork:
> {quote}
> org.apache.spark.SparkException: Job aborted due to stage failure: Task not serializable:
java.io.NotSerializableException: org.apache.hadoop.io.BytesWritable
>     at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1049)
>     at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1033)
>     at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1031)
>     at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
>     at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
>     at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1031)
>     at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$submitMissingTasks(DAGScheduler.scala:772)
>     at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$submitStage(DAGScheduler.scala:715)
>     at org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$submitStage$4.apply(DAGScheduler.scala:719)
>     at org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$submitStage$4.apply(DAGScheduler.scala:718)
>     at scala.collection.immutable.List.foreach(List.scala:318)
>     at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$submitStage(DAGScheduler.scala:718)
>     at org.apache.spark.scheduler.DAGScheduler.handleJobSubmitted(DAGScheduler.scala:699)
> …
> {quote}
>  The root cause is that the RangePartitioner used by sortByKey contains rangeBounds:
Array[BytesWritable], which is considered not serializable in spark.
> A workaround to this issue is to set the number of partitions to 1 when calling sortByKey,
in which case the rangeBounds will be just an empty array.
> NO PRECOMMIT TESTS. This is for spark branch only.



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