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https://issues.apache.org/jira/browse/SPARK-32518?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17169753#comment-17169753
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Apache Spark commented on SPARK-32518:
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User 'Ngone51' has created a pull request for this issue:
https://github.com/apache/spark/pull/29332
> CoarseGrainedSchedulerBackend.maxNumConcurrentTasks should consider all kinds
> of resources
> ------------------------------------------------------------------------------------------
>
> Key: SPARK-32518
> URL: https://issues.apache.org/jira/browse/SPARK-32518
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 3.0.0
> Reporter: wuyi
> Priority: Major
>
> Currently, CoarseGrainedSchedulerBackend.maxNumConcurrentTasks only considers
> the CPU for the max concurrent tasks. This can cause the application to hang
> when a barrier stage requires extra custom resources but the cluster doesn't
> have enough corresponding resources. Because, without the checking for other
> custom resources in maxNumConcurrentTasks, the barrier stage can be submitted
> to the TaskSchedulerImpl. But the TaskSchedulerImpl can not launch tasks for
> the barrier stage due to the insufficient task slots calculated by
> calculateAvailableSlots(which does check all kinds of resources).
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