Hi Wei, +1, Thanks for this discussion which is crucial for SQL users to use PyFlink. Would be great to bring up the VOTE thread.
Best, Jincheng Wei Zhong <weizhong0...@gmail.com> 于2020年3月30日周一 下午2:38写道： > Hi everyone, > > Are there more comments about this FLIP? If not, I would like to bring up > the VOTE. > > Best, > Wei > > > 在 2020年3月9日，23:18，Xingbo Huang <hxbks...@gmail.com> 写道： > > > > Hi Godfrey, > > thanks for your suggestion. > > I have added two examples how to use python UDF > > in SQL and how to start sql-client.sh with full python dependencies In > FLIP. > > > > Best, > > Xingo > > > > godfrey he <godfre...@gmail.com> 于2020年3月9日周一 下午10:24写道： > > > >> Hi Wei, thanks for the proposal. > >> > >> I think it's better to give two more examples, one is how to use python > UDF > >> in SQL, another is how to start sql-client.sh with full python > >> dependencies. > >> > >> Best, > >> Godfrey > >> > >> Wei Zhong <weizhong0...@gmail.com> 于2020年3月9日周一 下午10:09写道： > >> > >>> Hi everyone, > >>> > >>> I would like to start discussion about how to support Python UDF in SQL > >>> Client. > >>> > >>> Flink Python UDF(FLIP-58[1]) has already been introduced in the release > >> of > >>> 1.10.0 and the support for SQL DDL is introduced in FLIP-106[2]. > >>> > >>> SQL Client defines UDF via the environment file and has its own CLI > >>> implementation to manage dependencies, but neither of which supports > >> Python > >>> UDF. We want to introduce the support of Python UDF for SQL Client, > >>> including the registration and the dependency management of Python UDF. > >>> > >>> Here is the design doc: > >>> > >>> > >>> > >> > https://cwiki.apache.org/confluence/display/FLINK/FLIP-114%3A+Support+Python+UDF+in+SQL+Client > >>> > >>> 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 > >>> [2] > >>> > >> > https://cwiki.apache.org/confluence/display/FLINK/FLIP-106%3A+Support+Python+UDF+in+SQL+Function+DDL > >>> > >>> > >> > >
