[
https://issues.apache.org/jira/browse/SPARK-20286?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15972253#comment-15972253
]
Miguel Pérez commented on SPARK-20286:
--------------------------------------
Thank you! I'll check it again and close the issue if I cannot reproduce the
problem in 2.1.0.
> 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.
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
