LuciferYang commented on PR #38985:
URL: https://github.com/apache/spark/pull/38985#issuecomment-1343768447

   It seems this is to fix a bad case caused by user use way? The current 
`lang3` version used by Spark does not trigger this issue, right? I don't know 
how many similar bad cases will be triggered when users use old jars. Is it 
necessary for Spark to do fault tolerance?


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