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https://issues.apache.org/jira/browse/SPARK-9197?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14634748#comment-14634748
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Kostas Sakellis commented on SPARK-9197:
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I think this is a duplicate of: https://issues.apache.org/jira/browse/SPARK-7955
> Cached RDD partitions are lost when executors are dynamically deallocated
> -------------------------------------------------------------------------
>
> Key: SPARK-9197
> URL: https://issues.apache.org/jira/browse/SPARK-9197
> Project: Spark
> Issue Type: Bug
> Components: YARN
> Affects Versions: 1.4.1
> Reporter: Ryan Williams
> Priority: Minor
>
> Currently, dynamic allocation cleans up executors that have not run any tasks
> for a certain amount of time.
> However, this often leads to cached RDD partitions being lost.
> Should dynamic allocation leave executors alone that have cached partitions?
> Should this be configurable?
> Is there any interest in code that would shuffle cached partitions around in
> preparation for executor-deallocation, to avoid this? Such logic could be
> useful in general for maintaining persisted RDDs across executor churn.
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