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https://issues.apache.org/jira/browse/SPARK-21656?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16117167#comment-16117167
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Sean Owen commented on SPARK-21656:
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If the issue is "given more time" then increase the idle timeout? or indeed the
locality settings. Why does this need another configuration? It sounds like
it's at best a change to defaults, but, how about start by having the app care
less about locality? It doesn't make sense to say that executors that are by
definition not needed according to a user's config should not be reclaimed
because the config is wrong.
> spark dynamic allocation should not idle timeout executors when tasks still
> to run
> ----------------------------------------------------------------------------------
>
> Key: SPARK-21656
> URL: https://issues.apache.org/jira/browse/SPARK-21656
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.1.1
> Reporter: Jong Yoon Lee
> Fix For: 2.1.1
>
> Original Estimate: 24h
> Remaining Estimate: 24h
>
> Right now spark lets go of executors when they are idle for the 60s (or
> configurable time). I have seen spark let them go when they are idle but they
> were really needed. I have seen this issue when the scheduler was waiting to
> get node locality but that takes longer then the default idle timeout. In
> these jobs the number of executors goes down really small (less than 10) but
> there are still like 80,000 tasks to run.
> We should consider not allowing executors to idle timeout if they are still
> needed according to the number of tasks to be run.
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