[jira] [Assigned] (YARN-10171) Add support for increment-allocation of custom resource types

["Qi Zhu (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/YARN-10171?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Qi Zhu reassigned YARN-10171:
-----------------------------

    Assignee: Qi Zhu

> Add support for increment-allocation of custom resource types
> -------------------------------------------------------------
>
>                 Key: YARN-10171
>                 URL: https://issues.apache.org/jira/browse/YARN-10171
>             Project: Hadoop YARN
>          Issue Type: Sub-task
>          Components: yarn
>    Affects Versions: 3.3.0
>            Reporter: Adam Antal
>            Assignee: Qi Zhu
>            Priority: Minor
>
> The FairScheduler's {{yarn.resource-types.memory-mb.increment-allocation}} and {{yarn.resource-types.vcores.increment-allocation}} configs are converted to the {{yarn.scheduler.minimum-allocation-*}} configs, which is fine for the vcores and memory.
> In case of custom resource types like GPU if {{yarn.resource-types.gpu.increment-allocation}} is set, then CS will not be aware of that. We don't have a {{yarn.scheduler.minimum-allocation-gpu}} setting for this purpose, but {{yarn.resource-types.gpu.min-allocation}} is respected by the {{ResourceCalculator}} through the {{ResourceUtils#getResourceInformationMapFromConfig}} which would provide us with the same behaviour.



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