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https://issues.apache.org/jira/browse/SPARK-2104?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14045413#comment-14045413
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Saisai Shao commented on SPARK-2104:
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Hi Reynold, is that annoying message you mentioned above?
{quote}
org.apache.spark.SparkException: Job aborted due to stage failure: Task not
serializable: java.io.NotSerializableException:
$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$JavaNonSerializableClass
{quote}
Seems we can implement writeObject and readObject to use specified serializer
like {{ParallelCollectionPartition}}, is that what you want?
> RangePartitioner should use user specified serializer to serialize range
> bounds
> -------------------------------------------------------------------------------
>
> Key: SPARK-2104
> URL: https://issues.apache.org/jira/browse/SPARK-2104
> Project: Spark
> Issue Type: Bug
> Reporter: Reynold Xin
>
> Otherwise it is pretty annoying to do a sort on types that are not java
> serializable.
> To reproduce, just set the serializer to Kryo, and run the following job:
> {code}
> class JavaNonSerializableClass extends Comparable { override def compareTo(o:
> JavaNonSerializableClass) = 0 }
> sc.parallelize(Seq(new JavaNonSerializableClass, new
> JavaNonSerializableClass), 2).map(x => (x,x)).sortByKey()
> {code}
> Basically the partitioner will always be serialized using Java (by the task
> closure serializer). However, the rangeBounds variable in RangePartitioner
> should be serialized with the user specified serializer.
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