You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Marcelo Vanzin (JIRA)" <ji...@apache.org> on 2017/09/07 23:17:00 UTC

[jira] [Resolved] (SPARK-18769) Spark to be smarter about what the upper bound is and to restrict number of executor when dynamic allocation is enabled

     [ https://issues.apache.org/jira/browse/SPARK-18769?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Marcelo Vanzin resolved SPARK-18769.
------------------------------------
    Resolution: Won't Fix

See discussion in PR. The main driver for this was a request from YARN, but the underlying YARN issue was fixed, so this is moot now.

>  Spark to be smarter about what the upper bound is and to restrict number of executor when dynamic allocation is enabled
> ------------------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-18769
>                 URL: https://issues.apache.org/jira/browse/SPARK-18769
>             Project: Spark
>          Issue Type: New Feature
>            Reporter: Neerja Khattar
>
> Currently when dynamic allocation is enabled max.executor is infinite and spark creates so many executor and even exceed the yarn nodemanager memory limit and vcores.
> It should have a check to not exceed more that yarn resource limit.



--
This message was sent by Atlassian JIRA
(v6.4.14#64029)

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