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Posted to yarn-issues@hadoop.apache.org by "Qi Zhu (Jira)" <ji...@apache.org> on 2021/04/01 15:06:00 UTC
[jira] [Comment Edited] (YARN-10503) Support queue capacity in
terms of absolute resources with custom resourceType.
[ https://issues.apache.org/jira/browse/YARN-10503?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17312219#comment-17312219 ]
Qi Zhu edited comment on YARN-10503 at 4/1/21, 3:05 PM:
--------------------------------------------------------
[~pbacsko] [~gandras] [~ebadger]
Sorry for too many issues needed for review.
If you any other advice about this? :D
Thanks.
was (Author: zhuqi):
[~pbacsko] [~gandras] [~ebadger]
If you any other advice? :D
Thanks.
> 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
> Attachments: 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
>
>
> 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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