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Posted to issues@spark.apache.org by "Anirudh Ramanathan (JIRA)" <ji...@apache.org> on 2018/01/31 14:26:00 UTC

[jira] [Updated] (SPARK-23285) Allow spark.executor.cores to be fractional

     [ https://issues.apache.org/jira/browse/SPARK-23285?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Anirudh Ramanathan updated SPARK-23285:
---------------------------------------
    Description: 
There is a strong check for an integral number of cores per executor in [#SparkSubmitArguments.scala#L270-L272](https://github.com/apache/spark/blob/3f4060c340d6bac412e8819c4388ccba226efcf3/core/src/main/scala/org/apache/spark/deploy/SparkSubmitArguments.scala#L270-L272). Given we're reusing that property in K8s, does it make sense to relax it?

 

K8s treats CPU as a "compressible resource" and can actually assign millicpus to individual containers. Also to be noted - spark.driver.cores has no such check in place.

  was:
There is a strong check for an integral number of cores per executor in [https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/deploy/SparkSubmitArguments.scala#L270-L272.] Given we're reusing that property in K8s, does it make sense to relax it?

 

K8s treats CPU as a "compressible resource" and can actually assign millicpus to individual containers. Also to be noted - spark.driver.cores has no such check in place.


> Allow spark.executor.cores to be fractional
> -------------------------------------------
>
>                 Key: SPARK-23285
>                 URL: https://issues.apache.org/jira/browse/SPARK-23285
>             Project: Spark
>          Issue Type: Improvement
>          Components: Kubernetes, Scheduler, Spark Submit
>    Affects Versions: 2.4.0
>            Reporter: Anirudh Ramanathan
>            Priority: Minor
>
> There is a strong check for an integral number of cores per executor in [#SparkSubmitArguments.scala#L270-L272](https://github.com/apache/spark/blob/3f4060c340d6bac412e8819c4388ccba226efcf3/core/src/main/scala/org/apache/spark/deploy/SparkSubmitArguments.scala#L270-L272). Given we're reusing that property in K8s, does it make sense to relax it?
>  
> K8s treats CPU as a "compressible resource" and can actually assign millicpus to individual containers. Also to be noted - spark.driver.cores has no such check in place.



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