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Github user icexelloss commented on the issue:
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@ueshin I pushed some more change to address your comments. There is one
regression in existing test `SQLTests.test_udf_with_aggregate_function`. I will
try to fix it tomorrow.
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Github user ueshin commented on the issue:
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@ramacode2014 Hi, I'm not sure why you received notifications from this PR,
but I guess you can unsubscribe by the "Unsubscribe" button in the right column
of this page. Sorry for the inconvenience.
Github user ramacode2014 commented on the issue:
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Please unsubscribe me from this spam
On Wed, Dec 20, 2017 at 10:46 AM, Takuya UESHIN
wrote:
> *@ueshin* commented on this pull request.
>
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@icexelloss I'm sorry for the late response.
Actually I tried to implement prototypes of Pandas UDAF with partial
aggregation and combining existing aggregate functions, but they are still much
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Github user icexelloss commented on the issue:
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And to @holdenk 's question. Pandas group_agg udf fundamentally uses
different physical plan than the existing java/scala udf and therefore it's
hard to combine them together. I don't know a
Github user icexelloss commented on the issue:
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I end up removing `UDFColumn` class and using the existing `Aggregate`
logical plan for pandas group_agg UDF. This reuses a lot of code being to
existing `Aggregate` and minimize the code
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> I thought @ueshin is working on this BTW.
Oh, I certainly don't want to duplicate @ueshin 's work. I am under the
impression that @ueshin is working on two-stage PySpark UDAF with
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cc @HyukjinKwon @holdenk @ueshin
Passing some basic tests. I will work on this more next week to clean up
and add more testing.
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