Hi Timo,

Thanks for your notification. I’ll remove it from the design doc.

Best,
Wei

> 在 2020年8月31日,21:11,Timo Walther <twal...@apache.org> 写道:
> 
> Hi Wei,
> 
> is `reset_accumulator` still necessary? We dropped it recently in the Java 
> API because it was not used anymore by the planner.
> 
> Regards,
> Timo
> 
> On 31.08.20 15:00, Wei Zhong wrote:
>> Hi Jincheng & Xingbo,
>> Thanks for your suggestions.
>> I agree that we should keep the user interface uniform. I'll adjust the 
>> design to allow users to specify the result type and accumulator type via 
>> @udaf.
>> Best,
>> Wei
>>> 在 2020年8月31日,18:06,Xingbo Huang <hxbks...@gmail.com> 写道:
>>> 
>>> Hi Wei,
>>> 
>>> Thanks a lot for the discussion.
>>> 
>>> Thanks a lot for Jincheng's suggestion of discussing FLIP-137 and FLIP-139
>>> together.
>>> 
>>> One question is whether we can use @udaf which is introduced in FLIP-137[1]
>>> to describe pandas udaf and general python udaf together. From the overall
>>> view of Python User Defined Function, we use @udf to describe general
>>> python udf and pandas udf, @udtf to describe python udtf, and @udaf to
>>> describe general python udaf and pandas udaf, which is more unified.
>>> 
>>> [1]
>>> https://cwiki.apache.org/confluence/display/FLINK/FLIP-137%3A+Support+Pandas+UDAF+in+PyFlink#FLIP137:SupportPandasUDAFinPyFlink-Interfaces
>>> 
>>> Best,
>>> Xingbo
>>> 
>>> jincheng sun <sunjincheng...@gmail.com> 于2020年8月31日周一 上午11:11写道:
>>> 
>>>> Hi Wei,
>>>> Thanks for the discussion! Overall, + 1 for this FLIP.
>>>> 
>>>> One question is, can the @udaf added by flip-137 be used in General Python
>>>> UDAF?
>>>> Would be gread if we can consider it combination with FLIP-137 for design.
>>>> 
>>>> What do you think?
>>>> 
>>>> Best,
>>>> Jincheng
>>>> 
>>>> Wei Zhong <weizhong0...@gmail.com> 于2020年8月26日周三 上午11:28写道:
>>>> 
>>>>> Hi everyone,
>>>>> 
>>>>> I would like to start discussion about how to support General Python
>>>>> User-Defined Aggregate Function on Table API.
>>>>> 
>>>>> FLIP-58[1] has already introduced the stateless Python UDF and has
>>>> already
>>>>> been supported in the previous releases. However the stateful Python UDF,
>>>>> i.e. User-Defined Aggregate Function is not supported in PyFlink yet. We
>>>>> want to introduce the general Python user-defined aggregate function for
>>>>> PyFlink Table API.
>>>>> 
>>>>> Here is the design doc:
>>>>> 
>>>>> 
>>>>> 
>>>> https://cwiki.apache.org/confluence/display/FLINK/FLIP-139%3A+General+Python+User-Defined+Aggregate+Function+Support+on+Table+API
>>>>> 
>>>>> Looking forward to your feedback!
>>>>> 
>>>>> Best,
>>>>> Wei
>>>>> 
>>>>> [1]
>>>>> 
>>>> https://cwiki.apache.org/confluence/display/FLINK/FLIP-58%3A+Flink+Python+User-Defined+Stateless+Function+for+Table
>>>>> 
>>>>> 
>>>> 
> 

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