[HIVE-7540] NotSerializableException encountered when using sortByKey transformation

• Type: Bug
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Fix Version/s: 1.1.0
• Component/s: Spark

Environment

Spark-1.0.1

• Assignee: Rui Li
• Reporter: Rui Li
• Created: 29/Jul/14 10:14
• Updated: 29/May/15 02:31
• Resolved: 11/Aug/14 05:11

Description

This exception is thrown when sortByKey is used as the shuffle transformation between MapWork and ReduceWork:

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)
…

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.

Issue Links

• depends upon: SPARK-2421 Spark should treat writable as serializable for keys
• is duplicated by: HIVE-7614 Find solution for closures containing writables [Spark Branch]
• is part of: HIVE-7292 Hive on Spark