Hi Holden! I agree with Kyle that it makes sense to have some caveat about Flink and Spark, though at this point they're not /that/ new (at least not Flink).
I am curious what extra support Kubeflow is "missing" (or, conversely, what extra support it has for Dataflow that goes beyond just specifying a different runner) to the point that these runners are declared "unsupported." Or it it literally a matter of not providing user support? On Fri, Apr 17, 2020 at 12:27 PM Kyle Weaver <[email protected]> wrote: > Hi Holden, > > The note on Flink & Spark support sounds reasonable to me. I am optimistic > about getting Flink + TFX + Kubeflow working fairly soon, but I agree that > we don't want to over-promise. > > I'm not so sure about the status of Dataflow here, perhaps someone else > can comment on that. > > Looking forward to the book :) > > Kyle > > On Fri, Apr 17, 2020 at 1:14 PM Holden Karau <[email protected]> wrote: > >> Hi Apache Beam Developers, >> >> I'm working on a book about Kubeflow, which naturally has a section on >> TFX. I want to set users expectations correctly so I wanted to know what >> y'all thought of this NOTE we were thinking of including in the early >> release: >> >> Apache Beam’s Python support outside of Google cloud's Dataflow is >> relatively new. TFX is a Python tool, so scaling it depends on Apache >> Beam's Python support. You can scale your job by using the non-portable >> dataflow component, but this requires changing your pipeline code and isn't >> supported by Kubeflow's current TFX components. As Apache Beam's support >> for Apache Flink & Spark improves support may be added for scaling the TFX >> components in a portable manner. >> >> Does this sound reasonable to folks? I don't want to over-promise but I >> also don't want to scare people away given all of the progress that is >> being made in supporting the open-source runners with language portability. >> >> Cheers, >> >> Holden :) >> >> -- >> Twitter: https://twitter.com/holdenkarau >> Books (Learning Spark, High Performance Spark, etc.): >> https://amzn.to/2MaRAG9 <https://amzn.to/2MaRAG9> >> YouTube Live Streams: https://www.youtube.com/user/holdenkarau >> >
