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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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