You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2018/12/11 14:17:00 UTC

[jira] [Commented] (SPARK-26340) Ensure cores per executor is greater than cpu per task

    [ https://issues.apache.org/jira/browse/SPARK-26340?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16717233#comment-16717233 ] 

ASF GitHub Bot commented on SPARK-26340:
----------------------------------------

ashangit opened a new pull request #23290: [SPARK-26340][Core] Ensure cores per executor is greater than cpu per task
URL: https://github.com/apache/spark/pull/23290
 
 
   Currently this check is only performed for dynamic allocation use case in
   ExecutorAllocationManager.
   
   ## What changes were proposed in this pull request?
   
   Checks that cpu per task is lower than number of cores per executor otherwise throw an exception
   
   ## How was this patch tested?
   
   manual tests
   
   Please review http://spark.apache.org/contributing.html before opening a pull request.
   

----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
 
For queries about this service, please contact Infrastructure at:
users@infra.apache.org


> Ensure cores per executor is greater than cpu per task
> ------------------------------------------------------
>
>                 Key: SPARK-26340
>                 URL: https://issues.apache.org/jira/browse/SPARK-26340
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core
>    Affects Versions: 2.2.2, 2.3.2
>            Reporter: Nicolas Fraison
>            Priority: Minor
>
> No check is performed to ensure spark.task.cpus is lower then spark.executor.cores. Which can lead to jobs not able to assign tasks without any understandable issues
> The check is only performed in the case of dynamic allocation usage in ExecutorAllocationManager
> Adding the check in TaskSchedulerImpl ensure that an issue is thrown to the driver



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org