Github user jiangxb1987 commented on the issue:
https://github.com/apache/spark/pull/18357
AFAIK SparkUncaughtExceptionHandler is designed to make Executors fail
fast, because Executors are relatively lightweight, but I'm not sure we can
afford to let Workers, even the Master fail fast too.
cc @cloud-fan for more comments.
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