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https://issues.apache.org/jira/browse/YARN-10503?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17307772#comment-17307772
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Qi Zhu commented on YARN-10503:
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Thanks [~gandras] for review.
I agree with you.
After this jira, if we can add a new Jira to change the hard such as
ResourceUtils#parseResourcesString, where FPGA and GPU is hardcoded.
cc [~gandras] [~ebadger] [~pbacsko]
> 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
>
>
> 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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