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 >> >> >
