Adam Antal created YARN-10171:
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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.
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