big +1 for the proposal.

We will soon complete all the Python API functional development of the 1.9
release, the development of UDFs will be carried out. After the support of
UDFs is completed, it will be very natural to support Datastream API.

If all of us agree with this proposal, I believe that for the 1.10 release,
it is possible to complete support both UDFs and DataStream API. And we
will do our best to make the 1.10 release that contains the Python
DataStream API support.

So, great thanks to @Stephan for this proposal!

Best,
Jincheng

Zili Chen <wander4...@gmail.com> 于2019年6月11日周二 下午10:56写道:

> +1
>
> Best,
> tison.
>
>
> zhijiang <wangzhijiang...@aliyun.com> 于2019年6月11日周二 下午10:52写道:
>
>> It is reasonable as stephan explained. +1 from my side!
>>
>> ------------------------------------------------------------------
>> From:Jeff Zhang <zjf...@gmail.com>
>> Send Time:2019年6月11日(星期二) 22:11
>> To:Stephan Ewen <se...@apache.org>
>> Cc:user <user@flink.apache.org>; dev <d...@flink.apache.org>
>> Subject:Re: [DISCUSS] Deprecate previous Python APIs
>>
>> +1
>>
>> Stephan Ewen <se...@apache.org> 于2019年6月11日周二 下午9:30写道:
>>
>> > Hi all!
>> >
>> > I would suggest to deprecating the existing python APIs for DataSet and
>> > DataStream API with the 1.9 release.
>> >
>> > Background is that there is a new Python API under development.
>> > The new Python API is initially against the Table API. Flink 1.9 will
>>
>> > support Table API programs without UDFs, 1.10 is planned to support UDFs.
>> > Future versions would support also the DataStream API.
>> >
>> > In the long term, Flink should have one Python API for DataStream and
>>
>> > Table APIs. We should not maintain multiple different implementations and
>> > confuse users that way.
>>
>> > Given that the existing Python APIs are a bit limited and not under active
>> > development, I would suggest to deprecate them in favor of the new API.
>> >
>> > Best,
>> > Stephan
>> >
>> >
>>
>> --
>> Best Regards
>>
>> Jeff Zhang
>>
>>
>>

Reply via email to