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@HyukjinKwon [here](https://github.com/apache/spark/pull/21461)
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@e-dorigatti, BTW, what's your JIRA id?
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@e-dorigatti, it has a conflict with branch-2.3. Mind if I ask to open a
backporting PR against branch-2.3?
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Merged to master and branch-2.3.
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add to whitelist
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retest this please
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still lgtm if the tests pass
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LGTM
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Github user e-dorigatti commented on the issue:
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Yes, the problem was that the signature is lost when the function is
wrapped, and the worker needs the signature to know whether the function needs
keys together with values or not.
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BTW, let's leave some comments here for clarification. It took me a while
to understand what you meant.
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> use `fail_on_stopiteration` in the worker instead of in the
UserDefinedFunction. I don't really like this solution since you have to fix
every other place that uses an udf
Can you
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I am thinking to use `fail_on_stopiteration` in the worker instead of in
the `UserDefinedFunction`. I don't really like this solution since you have to
fix every other place that uses an udf,
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Github user vanzin commented on the issue:
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Did you run locally with pypy? I don't think that runs by default.
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I must be doing something wrong because tests pass on my machine. For now I
have no other way but keep pushing here
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I set it a blocker but please let me know if you guys think differently.
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Github user vanzin commented on the issue:
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Can you guys mark the bug as a blocker if you mean for it to go into 2.3.1?
Thanks.
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LGTM too if the tests pass.
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cc @icexelloss too
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Seems good otherwise to me too
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I am really not sure how moving and renaming the function broke the `udf`
test, I'm looking into it right now
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jenkins this is ok to test
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Can one of the admins verify this patch?
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Can one of the admins verify this patch?
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