Hi Till, Thanks for your prompt reply. I understand that input streams should be aligned such that a consistent state snapshot can be generated. In my opinion, that statement indicates that an operator will buffer its output tuples until the snapshot is committed. I am wondering if my understand to that very statement is right. If yes, why an operator should pend its output tuples? Is that for replaying output tuples during the state recovery of an downstream operator?
Thanks and regards, Li Sent from my iPhone > On 1 Nov 2016, at 8:56 PM, Till Rohrmann <trohrm...@apache.org> wrote: > > Hi Li, > > the statement refers to operators with multiple inputs (two in this case). > With the current implementation you will indeed block one of the inputs after > receiving a checkpoint barrier n until you've received the corresponding > checkpoint barrier n on the other input as well. This is what we call > checkpoint barrier alignment. If the processing time on both input paths is > similar and thus there is no back pressure on any of the inputs, the > alignment should not take too long. In case where one of the inputs is > considerably slower than the other, you should an additional delay. > > For single input operators, you don't have to align the checkpoint barriers. > > The checkpoint barrier alignment is not strictly necessary, but it allows us > to not having to store all in flight records from the second input which > arrive between the checkpoint barrier on the first input and the > corresponding barrier on the second input. We might change this > implementation in the future, though. > > Cheers, > Till > >> On Tue, Nov 1, 2016 at 8:05 AM, Li Wang <wangli1...@gmail.com> wrote: >> Hi all, >> >> I have a question regarding to the state checkpoint mechanism in Flink. I >> find the statement "Once the last stream has received barrier n, the >> operator emits all pending outgoing records, and then emits snapshot n >> barriers itself” on the document >> https://ci.apache.org/projects/flink/flink-docs-master/internals/stream_checkpointing.html#exactly-once-vs-at-least-once. >> >> Does this mean that to achieve exactly-once semantic, instead of sending >> tuples downstream immediately the operator buffers its outgoing tuples in a >> pending queue until the current snapshot is committed? If yes, will this >> introduce significant processing delay? >> >> Thanks, >> Li >> >