beliefer commented on pull request #2:
URL: https://github.com/apache/spark/pull/2#issuecomment-730797910
@cloud-fan @wangyum @maropu Thanks for all your work!
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beliefer commented on pull request #2:
URL: https://github.com/apache/spark/pull/2#issuecomment-730203321
retest this please
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beliefer commented on pull request #2:
URL: https://github.com/apache/spark/pull/2#issuecomment-728768216
retest this please
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beliefer commented on pull request #2:
URL: https://github.com/apache/spark/pull/2#issuecomment-725272877
retest this please
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beliefer commented on pull request #2:
URL: https://github.com/apache/spark/pull/2#issuecomment-725081708
cc @cloud-fan @wangyum
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beliefer commented on pull request #2:
URL: https://github.com/apache/spark/pull/2#issuecomment-714287382
retest this please
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beliefer commented on pull request #2:
URL: https://github.com/apache/spark/pull/2#issuecomment-709985924
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beliefer commented on pull request #2:
URL: https://github.com/apache/spark/pull/2#issuecomment-707458123
@maropu If there have a lot of like, the reduceLeft will construct very deep
tree. This will lead to unlimited function calls to increase the height of the
thread stack.
beliefer commented on pull request #2:
URL: https://github.com/apache/spark/pull/2#issuecomment-706919752
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beliefer commented on pull request #2:
URL: https://github.com/apache/spark/pull/2#issuecomment-706840400
> I have the same impression like @maropu 's first comment. Could you answer
his question please, @beliefer ?
Thanks for your remind.
beliefer commented on pull request #2:
URL: https://github.com/apache/spark/pull/2#issuecomment-706839025
> In the PR description, could you describe why the stack overflow can
happen in the current approach and why the fix in this PR can avoid the error?
OK
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