Github user liyinan926 commented on the issue:
https://github.com/apache/spark/pull/20460
Agreed. This is a fundamental change to the way Spark handles task
scheduling, task parallelism, and dynamic resource allocation, etc., and it
impacts every scheduler backends. I'm closing this PR for now. Thanks for
reviewing and giving feedbacks!
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