Thanks Stephan, That's clear !
Cheers On Thu, Jul 2, 2015 at 6:13 PM, Stephan Ewen <se...@apache.org> wrote: > Hi! > > I am actually working to get some more docs out there, there is a lack > right now, agreed. > > Concerning your questions: > > (1) Batch programs basically recover from the data sources right now. > Checkpointing as in the streaming case does not happen for batch programs. > We have branches that materialize the intermediate streams and apply > backtracking logic for batch programs, but they are not merged into the > master at this point. > > (2) Streaming operators and user functions are long lived. They are > started once and live to the end of the stream, or the machine failure. > > Greetings, > Stephan > > > On Thu, Jul 2, 2015 at 11:48 AM, tambunanw <if05...@gmail.com> wrote: > >> Hi All, >> >> I see that the way batch processing works in Flink is quite different with >> Spark. It's all about using streaming engine in Flink. >> >> I have a couple of question >> >> 1. Is there any support on Checkpointing on batch processing also ? Or >> that's only for streaming >> >> 2. I want to ask about operator lifecyle ? is that short live or long >> live ? >> Any docs where i can read about this more ? >> >> >> Cheers >> >> >> >> -- >> View this message in context: >> http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/Batch-Processing-as-Streaming-tp1909.html >> Sent from the Apache Flink User Mailing List archive. mailing list >> archive at Nabble.com. >> > > -- Welly Tambunan Triplelands http://weltam.wordpress.com http://www.triplelands.com <http://www.triplelands.com/blog/>
