Hi Dian, Big +1 for making the Table API easier to use. Java users and Python users can both benefit from it. I think it would be better if we add some Python API examples.
Best, Wei > 在 2021年1月4日，20:03，Dian Fu <dian0511...@gmail.com> 写道： > > Hi all, > > I'd like to start a discussion about introducing a few convenient operations > in Table API from the perspective of ease of use. > > Currently some tasks are not easy to express in Table API e.g. deduplication, > topn, etc, or not easy to express when there are hundreds of columns in a > table, e.g. null data handling, etc. > > I'd like to propose to introduce a few operations in Table API with the > following purposes: > - Make Table API users to easily leverage the powerful features already in > SQL, e.g. deduplication, topn, etc > - Provide some convenient operations, e.g. introducing a series of operations > for null data handling (it may become a problem when there are hundreds of > columns), data sampling and splitting (which is a very common use case in ML > which usually needs to split a table into multiple tables for training and > validation separately). > > Please refer to FLIP-155 [1] for more details. > > Looking forward to your feedback! > > Regards, > Dian > > [1] > https://cwiki.apache.org/confluence/display/FLINK/FLIP-155%3A+Introduce+a+few+convenient+operations+in+Table+API
