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https://issues.apache.org/jira/browse/SPARK-33446?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17231693#comment-17231693
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Apache Spark commented on SPARK-33446:
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User 'warrenzhu25' has created a pull request for this issue:
https://github.com/apache/spark/pull/30370
> [CORE] Add config spark.executor.coresOverhead
> ----------------------------------------------
>
> Key: SPARK-33446
> URL: https://issues.apache.org/jira/browse/SPARK-33446
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 3.0.1
> Reporter: Zhongwei Zhu
> Priority: Major
>
> Add config spark.executor.coresOverhead to request extra cores per executor.
> This config will be helpful in below cases:
> Suppose for physical machines or vm, the memory/cpu ratio is 3GB/core. But we
> run spark job, we want to have 6GB per task. If we request resource in such
> way, there will be resource waste.
> If we request extra cores without affecting cores per executor for task
> allocation, extra cores won't be wasted.
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