Are you actually losing messages then? On Tue, Aug 25, 2015 at 1:15 PM, Susan Zhang <suchenz...@gmail.com> wrote:
> No; first batch only contains messages received after the second job > starts (messages come in at a steady rate of about 400/second). > > On Tue, Aug 25, 2015 at 11:07 AM, Cody Koeninger <c...@koeninger.org> > wrote: > >> 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! >>> >>> < >>> http://apache-spark-user-list.1001560.n3.nabble.com/file/n24450/Screen_Shot_2015-08-25_at_10.png >>> > >>> >>> >>> >>> -- >>> View this message in context: >>> http://apache-spark-user-list.1001560.n3.nabble.com/Spark-Streaming-Checkpointing-Restarts-with-0-Event-Batches-tp24450.html >>> Sent from the Apache Spark User List mailing list archive at Nabble.com. >>> >>> --------------------------------------------------------------------- >>> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org >>> For additional commands, e-mail: user-h...@spark.apache.org >>> >>> >> >
