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https://issues.apache.org/jira/browse/SPARK-3607?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14241431#comment-14241431
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Apache Spark commented on SPARK-3607:
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User 'ilganeli' has created a pull request for this issue:
https://github.com/apache/spark/pull/3664
> ConnectionManager threads.max configs on the thread pools don't work
> --------------------------------------------------------------------
>
> Key: SPARK-3607
> URL: https://issues.apache.org/jira/browse/SPARK-3607
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.1.0
> Reporter: Thomas Graves
> Priority: Minor
>
> In the ConnectionManager we have a bunch of thread pools. They have settings
> for the maximum number of threads for each Threadpool (like
> spark.core.connection.handler.threads.max).
> Those configs don't work because its using a unbounded queue. From the
> threadpoolexecutor javadoc page: no more than corePoolSize threads will ever
> be created. (And the value of the maximumPoolSize therefore doesn't have any
> effect.)
> luckily this doesn't matter to much as you can work around it by just
> increasing the minimum like spark.core.connection.handler.threads.min.
> These configs aren't documented either so its more of an internal thing when
> someone is reading the code.
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