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https://issues.apache.org/jira/browse/SPARK-20286?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15965306#comment-15965306
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Saisai Shao commented on SPARK-20286:
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So the fix is that if there's no RDD get persisted, executors idle time should
be changed to {{dynamicAllocation.executorIdleTimeout}}.
> dynamicAllocation.executorIdleTimeout is ignored after unpersist
> ----------------------------------------------------------------
>
> Key: SPARK-20286
> URL: https://issues.apache.org/jira/browse/SPARK-20286
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.0.1
> Reporter: Miguel Pérez
>
> With dynamic allocation enabled, it seems that executors with cached data
> which are unpersisted are still being killed using the
> {{dynamicAllocation.cachedExecutorIdleTimeout}} configuration, instead of
> {{dynamicAllocation.executorIdleTimeout}}. Assuming the default configuration
> ({{dynamicAllocation.cachedExecutorIdleTimeout = Infinity}}), an executor
> with unpersisted data won't be released until the job ends.
> *How to reproduce*
> - Set different values for {{dynamicAllocation.executorIdleTimeout}} and
> {{dynamicAllocation.cachedExecutorIdleTimeout}}
> - Load a file into a RDD and persist it
> - Execute an action on the RDD (like a count) so some executors are activated.
> - When the action has finished, unpersist the RDD
> - The application UI removes correctly the persisted data from the *Storage*
> tab, but if you look in the *Executors* tab, you will find that the executors
> remain *active* until ({{dynamicAllocation.cachedExecutorIdleTimeout}} is
> reached.
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