[jira] [Updated] (YARN-10503) Support queue capacity in terms of absolute resources with custom resourceType.

["ASF GitHub Bot (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/YARN-10503?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

ASF GitHub Bot updated YARN-10503:
----------------------------------
    Labels: pull-request-available  (was: )

> Support queue capacity in terms of absolute resources with custom resourceType.
> -------------------------------------------------------------------------------
>
>                 Key: YARN-10503
>                 URL: https://issues.apache.org/jira/browse/YARN-10503
>             Project: Hadoop YARN
>          Issue Type: Sub-task
>            Reporter: Qi Zhu
>            Assignee: Qi Zhu
>            Priority: Critical
>              Labels: pull-request-available
>             Fix For: 3.4.0, 3.3.1
>
>         Attachments: YARN-10503-branch-3.3.010.patch, YARN-10503.001.patch, YARN-10503.002.patch, YARN-10503.003.patch, YARN-10503.004.patch, YARN-10503.005.patch, YARN-10503.006.patch, YARN-10503.007.patch, YARN-10503.008.patch, YARN-10503.009.patch, YARN-10503.010.patch
>
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> Now the absolute resources are memory and cores.
> {code:java}
> /**
>  * Different resource types supported.
>  */
> public enum AbsoluteResourceType {
>   MEMORY, VCORES;
> }{code}
> But in our GPU production clusters, we need to support more resourceTypes.
> It's very import for cluster scaling when with different resourceType absolute demands.
>  
> This Jira will handle GPU first.



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