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https://issues.apache.org/jira/browse/SPARK-31437?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17082985#comment-17082985
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Hongze Zhang edited comment on SPARK-31437 at 4/14/20, 8:28 AM:
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Hi [~tgraves], is there already any plan on this or similar topics? I roughly
searched JIRA and Git history and didn't find enough information.
was (Author: zhztheplayer):
Hi [~tgraves], is there already any plan on this or similar topics? I roughly
searched JIRA and Git history and didn't found enough information.
> Try assigning tasks to existing executors by which required resources in
> ResourceProfile are satisfied
> ------------------------------------------------------------------------------------------------------
>
> Key: SPARK-31437
> URL: https://issues.apache.org/jira/browse/SPARK-31437
> Project: Spark
> Issue Type: Improvement
> Components: Scheduler
> Affects Versions: 3.0.0
> Reporter: Hongze Zhang
> Priority: Major
>
> By the change in [PR|https://github.com/apache/spark/pull/27773] of
> SPARK-29154, submitted tasks are scheduled onto executors only if resource
> profile IDs strictly match. As a result Spark always starts new executors for
> customized ResourceProfiles.
> This limitation makes working with process-local jobs unfriendly. E.g. Task
> cores has been increased from 1 to 4 in a new stage, and executor has 8
> slots, it is expected that 2 new tasks can be run on the existing executor
> but Spark starts new executors for new ResourceProfile. The behavior is
> unnecessary.
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