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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2020/11/13 17:51:00 UTC

[jira] [Assigned] (SPARK-33446) [CORE] Add config spark.executor.coresOverhead

     [ https://issues.apache.org/jira/browse/SPARK-33446?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-33446:
------------------------------------

    Assignee: Apache Spark

> [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
>            Assignee: Apache Spark
>            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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