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

["Adam Antal (Jira)" <ji...@apache.org>]

Adam Antal created YARN-10171:
---------------------------------

             Summary: 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


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.



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

---------------------------------------------------------------------
To unsubscribe, e-mail: yarn-issues-unsubscribe@hadoop.apache.org
For additional commands, e-mail: yarn-issues-help@hadoop.apache.org