Rui Li created HIVE-7540:
----------------------------
Summary: 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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