Hi Jincheng, Thanks for your feed back. The more details we can discussed in the JIRA and PR. :)
Best, Xingbo jincheng sun <sunjincheng...@gmail.com> 于2020年2月4日周二 下午9:09写道： > Thanks for bring up this discussion Xingbo! > > The the design is pretty nice for me! This feature is really need which > mentioned in FLIP-58. So, I think is better to create the JIRA and open the > PR, then more detail can be reviewed. :) > > Best, > Jincheng > > > > Xingbo Huang <hxbks...@gmail.com> 于2020年2月3日周一 下午3:02写道： > > > Hi all, > > > > The scalar Python UDF has already been supported in coming release of > 1.10, > > we’d like to introduce Python UDTF now. FLIP-58[1] has already introduced > > some content about Python UDTF. However, the implementation details are > > still not touched. I have drafted a design doc[2]. It includes the > > following items: > > > > - How to define Python UDTF. > > > > - The introduced rules for Python UDTF. > > > > - How to execute Python UDTF. > > > > Because the implementation relies on Beam's portability framework for > > Python user-defined table function execution and not all the contributors > > are familiar with it, I have done a prototype[3]. > > > > Welcome any feedback. > > > > Best, > > > > Xingbo > > > > [1] > > > > > https://cwiki.apache.org/confluence/display/FLINK/FLIP-58%3A+Flink+Python+User-Defined+Stateless+Function+for+Table > > > > [2] > > > > > https://docs.google.com/document/d/1Pkv5S0geoYQ2ySS5YTTBivJ3hoi-uzLXVQkDVIaR0cE/edit#heading=h.pzeztvig3kg1 > > [3] https://github.com/HuangXingBo/flink/commits/FLINK-UDTF > > >
