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https://issues.apache.org/jira/browse/SPARK-5372?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14288636#comment-14288636
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Apache Spark commented on SPARK-5372:
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User 'jerryshao' has created a pull request for this issue:
https://github.com/apache/spark/pull/4167
> Change the default storage level of window operators
> ----------------------------------------------------
>
> Key: SPARK-5372
> URL: https://issues.apache.org/jira/browse/SPARK-5372
> Project: Spark
> Issue Type: Bug
> Components: Streaming
> Affects Versions: 1.2.0
> Reporter: Saisai Shao
>
> Current storage level of window operators is MEMORY_ONLY_SER, if the memory
> is not enough to hold all the window data, cached RDD will be discarded,
> which will lead to unexpected behavior.
> Besides the default storage level of input data is MEMORY_AND_DISK_SER_2, it
> is better to align to this storage level to change the storage level of
> window operators to MEMORY_AND_DISK_SER.
> This changing has no effect when memory is enough. So I'd propose to change
> the default storage level to MEMORY_AND_DISK_SER.
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