Github user liyinan926 commented on the issue:
    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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