Hi everyone,
Thanks all of you for the discussion.
If there are no objections, I would like to start a vote thread tomorrow.
Best,
Xingbo
Dian Fu 于2020年9月3日周四 下午5:45写道：
> Thanks for preparing the FLIP, xingbo!
>
> LGTM overall and looking forward to the voting!
>
> Regards,
> Dian
>
> > 在 2020
Thanks for preparing the FLIP, xingbo!
LGTM overall and looking forward to the voting!
Regards,
Dian
> 在 2020年9月3日，下午5:22，jincheng sun 写道：
>
> Thank you! looking forward to the voting :)
>
> Best,
> Jincheng
>
>
> Xingbo Huang 于2020年9月3日周四 下午2:39写道：
>
>> Hi Jincheng,
>>
>> Yes, I agree t
Thank you! looking forward to the voting :)
Best,
Jincheng
Xingbo Huang 于2020年9月3日周四 下午2:39写道：
> Hi Jincheng,
>
> Yes, I agree that users can extend the class `AggregateFunction` if they
> want to define a Pandas UDAF by the way of custom classes. I have updated
> the part of the FLIP.
>
> Bes
Hi Jincheng,
Yes, I agree that users can extend the class `AggregateFunction` if they
want to define a Pandas UDAF by the way of custom classes. I have updated
the part of the FLIP.
Best,
Xingbo
jincheng sun 于2020年9月3日周四 下午1:48写道：
> Thanks for the update Xingbo!
>
> Pandas UDAF can reuse the `
Thanks for the update Xingbo!
Pandas UDAF can reuse the `class aggregate function (user defined
function)` interface in FLIP-139, and the core logic of Pandas UDAF users
is written in the `accumulate` method. In this way, we can unify the
interface semantics of all UDAF.
What do you think?
Best,
Hi Jincheng,
Thanks a lot for joining the discussion and the suggestion of discussing
FLIP-137 and FLIP-139 together.
>> 1. We also need to consider how pandas UDAF supports metrics, and whether
we need a custom interface for pandas UDAF?
Yes. We need to add an interface so that users can add so
Hi Xingbo,
Thanks for the discussion! Overall, + 1 for this FLIP.
I have two points to add:
- We also need to consider how pandas UDAF supports metrics, and whether
we need a custom interface for pandas UDAF?
- We have added @udaf(), so whether to use ordinary Python UDAF? If not,
the addition
Hi everyone,
I would like to start a discussion thread on "Support Pandas UDAF in
PyFlink"
Pandas UDF has been supported in FLINK 1.11 (FLIP-97[1]). It solves the
high serialization/deserialization overhead in Python UDF and makes it
convenient to leverage the popular Python libraries such as Pan
