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-dev-unsubscr...@hadoop.apache.org For additional commands, e-mail: yarn-dev-h...@hadoop.apache.org