Hi everyone, Thanks for the feedback. As there are no objections, I've opened a JIRA issue(FLINK-15847[1]) to address this issue. The implementation details can be discussed in the issue or in the following PR.
Best, Hequn [1] https://issues.apache.org/jira/browse/FLINK-15847 On Wed, Jan 8, 2020 at 9:15 PM Hequn Cheng <chenghe...@gmail.com> wrote: > Hi Jincheng, > > Thanks a lot for your feedback! > Yes, I agree with you. There are cases that multi jars need to be > uploaded. I will prepare another discussion later. Maybe with a simple > design doc. > > Best, Hequn > > On Wed, Jan 8, 2020 at 3:06 PM jincheng sun <sunjincheng...@gmail.com> > wrote: > >> Thanks for bring up this discussion Hequn! >> >> +1 for include `flink-ml-api` and `flink-ml-lib` in opt. >> >> BTW: I think would be great if bring up a discussion for upload multiple >> Jars at the same time. as PyFlink JOB also can have the benefit if we do >> that improvement. >> >> Best, >> Jincheng >> >> >> Hequn Cheng <chenghe...@gmail.com> 于2020年1月8日周三 上午11:50写道： >> >> > Hi everyone, >> > >> > FLIP-39[1] rebuilds Flink ML pipeline on top of TableAPI which moves >> Flink >> > ML a step further. Base on it, users can develop their ML jobs and more >> and >> > more machine learning platforms are providing ML services. >> > >> > However, the problem now is the jars of flink-ml-api and flink-ml-lib >> are >> > only exist on maven repo. Whenever users want to submit ML jobs, they >> can >> > only depend on the ml modules and package a fat jar. This would be >> > inconvenient especially for the machine learning platforms on which >> nearly >> > all jobs depend on Flink ML modules and have to package a fat jar. >> > >> > Given this, it would be better to include jars of flink-ml-api and >> > flink-ml-lib in the `opt` folder, so that users can directly use the >> jars >> > with the binary release. For example, users can move the jars into the >> > `lib` folder or use -j to upload the jars. (Currently, -j only support >> > upload one jar. Supporting multi jars for -j can be discussed in another >> > discussion.) >> > >> > Putting the jars in the `opt` folder instead of the `lib` folder is >> because >> > currently, the ml jars are still optional for the Flink project by >> default. >> > >> > What do you think? Welcome any feedback! >> > >> > Best, >> > >> > Hequn >> > >> > [1] >> > >> > >> https://cwiki.apache.org/confluence/display/FLINK/FLIP-39+Flink+ML+pipeline+and+ML+libs >> > >> >
