[ 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. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: yarn-issues-unsubscr...@hadoop.apache.org For additional commands, e-mail: yarn-issues-h...@hadoop.apache.org