Does the first batch after restart contain all the messages received while
the job was down?

On Tue, Aug 25, 2015 at 12:53 PM, suchenzang <suchenz...@gmail.com> wrote:

> Hello,
>
> I'm using direct spark streaming (from kafka) with checkpointing, and
> everything works well until a restart. When I shut down (^C) the first
> streaming job, wait 1 minute, then re-submit, there is somehow a series of
> 0
> event batches that get queued (corresponding to the 1 minute when the job
> was down). Eventually, the batches would resume processing, and I would see
> that each batch has roughly 2000 events.
>
> I see that at the beginning of the second launch, the checkpoint dirs are
> found and "loaded", according to console output.
>
> Is this expected behavior? It seems like I might've configured something
> incorrectly, since I would expect with checkpointing that the streaming job
> would resume from checkpoint and continue processing from there (without
> seeing 0 event batches corresponding to when the job was down).
>
> Also, if I were to wait > 10 minutes or so before re-launching, there would
> be so many 0 event batches that the job would hang. Is this merely
> something
> to be "waited out", or should I set up some restart behavior/make a config
> change to discard checkpointing if the elapsed time has been too long?
>
> Thanks!
>
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