Hi, Thanks for the response! The Documentation says Blink will treat batch as a special case of streaming. if so, can I stream from a database? or put it in another way. If I have two streams A & B where Stream A is writing to Database and Stream B reading from the database. will stream B keeps running forever picking up all the changes written to the database by Stream A? If not, is there any to achieve that sort of functionality?
The reason I may want to do something like this is I may want to do join on two tables that continuously get populated however I cannot specify the time constraint on the state which is why I would want to write to external database such that I can treat it as an infinite store and then do join as the data come in continuously. Thanks! On Sat, Jan 11, 2020 at 6:42 PM Benchao Li <libenc...@gmail.com> wrote: > Hi kant, > > Blink has merged most of it's functionality into 1.9-release, and we have > two planners [1] in 1.9: > > - Blink Planner > - Old Planner (Legacy Planner) > > You can try out blink planner by [2]. > Hope this helps. > > [1] > https://ci.apache.org/projects/flink/flink-docs-release-1.9/dev/table/common.html#main-differences-between-the-two-planners > [2] > https://ci.apache.org/projects/flink/flink-docs-release-1.9/dev/table/common.html#create-a-tableenvironment > > > kant kodali <kanth...@gmail.com> 于2020年1月12日周日 上午7:48写道： > >> Hi All, >> >> Are blink changes merged into flink 1.9? It looks like there are a lot of >> features and optimizations in Blink and if they aren't merged into flink >> 1.9 I am not sure on which one to use? is there any plan towards merging it? >> >> Thanks! >> > > > -- > > Benchao Li > School of Electronics Engineering and Computer Science, Peking University > Tel:+86-15650713730 > Email: libenc...@gmail.com; libenc...@pku.edu.cn > >
