ivoson opened a new pull request, #39410: URL: https://github.com/apache/spark/pull/39410
### What changes were proposed in this pull request? As described in [SPARK-41848](https://issues.apache.org/jira/browse/SPARK-41848), we update the [executor's free cores](https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/scheduler/cluster/CoarseGrainedSchedulerBackend.scala#L424) based on executor's resource profile. For tasks with TaskResourceProfile in standalone cluster, since executors with default resource profile can be reused across different TaskResourceProfiles, and the task cpus can be different from the value we get from executor's resource profile. The changes to fix the issues: 1. Decrease executor free cores when launch tasks by taskCpus from `TaskDescription`; 2. Adding taskCpus to `StatusUpdate` as well as the other resources, so that taskCpus can be reported when task is finished and we can increase executor free cores by the reported taskCpus; ### Why are the changes needed? Fixing the bug as described in [SPARK-41848](https://issues.apache.org/jira/browse/SPARK-41848) ### Does this PR introduce _any_ user-facing change? No ### How was this patch tested? New UTs added. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
