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From "Brock Noland (JIRA)" <>
Subject [jira] [Commented] (HIVE-7540) NotSerializableException encountered when using sortByKey transformation
Date Tue, 05 Aug 2014 00:15:13 GMT


Brock Noland commented on HIVE-7540:

Hi [~lirui],

It seems this related to serializing a closure as opposed to data. I talked with [~sandyr]
and it seems that using Writable serialization is probably difficult/impossible. It looks
like the Spark folks have also tried using Kryo to [serialize closures|].

Can you try creating a class HiveBytesWritable which extends from BytesWritable and implements
Serializable and then transform the objects into that class before the soryByKey?

> NotSerializableException encountered when using sortByKey transformation
> ------------------------------------------------------------------------
>                 Key: HIVE-7540
>                 URL:
>             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:
>     at$apache$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$$anonfun$abortStage$1.apply(DAGScheduler.scala:1031)
>     at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
>     at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
>     at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1031)
>     at$apache$spark$scheduler$DAGScheduler$$submitMissingTasks(DAGScheduler.scala:772)
>     at$apache$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$$submitStage$4.apply(DAGScheduler.scala:718)
>     at scala.collection.immutable.List.foreach(List.scala:318)
>     at$apache$spark$scheduler$DAGScheduler$$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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