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Posted to issues@spark.apache.org by "Thomas Graves (Jira)" <ji...@apache.org> on 2020/01/07 14:00:14 UTC
[jira] [Commented] (SPARK-30446) Accelerator aware scheduling
checkResourcesPerTask doesn't cover all cases
[ https://issues.apache.org/jira/browse/SPARK-30446?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17009742#comment-17009742 ]
Thomas Graves commented on SPARK-30446:
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I think there may also be issues in it with standalone mode since Executor cores isn't necessarily right, but I would have to test again to verify that.
> Accelerator aware scheduling checkResourcesPerTask doesn't cover all cases
> --------------------------------------------------------------------------
>
> Key: SPARK-30446
> URL: https://issues.apache.org/jira/browse/SPARK-30446
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 3.0.0
> Reporter: Thomas Graves
> Priority: Major
>
> with accelerator aware scheduling SparkContext.checkResourcesPerTask
> Tries to make sure that users have configured things properly and warn or error if not.
> It doesn't properly handle all cases like warning if cpu resources are being wasted. We should test this better and handle those.
> I fixed these in the stage level scheduling but not sure the timeline on getting that in so we may want to fix this separately as well.
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