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