Yeah, if you're reporting issues, please be clear as to whether backpressure is enabled, and whether maxRatePerPartition is set.
I expect that there is something wrong with backpressure, see e.g. https://issues.apache.org/jira/browse/SPARK-18371 On Wed, Nov 16, 2016 at 5:05 PM, bo yang <bobyan...@gmail.com> wrote: > I hit similar issue with Spark Streaming. The batch size seemed a little > random. Sometime it was large with many Kafka messages inside same batch, > sometimes it was very small with just a few messages. Is it possible that > was caused by the backpressure implementation in Spark Streaming? > > On Wed, Nov 16, 2016 at 4:22 PM, Cody Koeninger <c...@koeninger.org> wrote: >> >> Moved to user list. >> >> I'm not really clear on what you're trying to accomplish (why put the >> csv file through Kafka instead of reading it directly with spark?) >> >> auto.offset.reset=largest just means that when starting the job >> without any defined offsets, it will start at the highest (most >> recent) available offsets. That's probably not what you want if >> you've already loaded csv lines into kafka. >> >> On Wed, Nov 16, 2016 at 2:45 PM, Hoang Bao Thien <hbthien0...@gmail.com> >> wrote: >> > Hi all, >> > >> > I would like to ask a question related to the size of Kafka stream. I >> > want >> > to put data (e.g., file *.csv) to Kafka then use Spark streaming to get >> > the >> > output from Kafka and then save to Hive by using SparkSQL. The file csv >> > is >> > about 100MB with ~250K messages/rows (Each row has about 10 fields of >> > integer). I see that Spark Streaming first received two >> > partitions/batches, >> > the first is of 60K messages and the second is of 50K msgs. But from the >> > third batch, Spark just received 200 messages for each batch (or >> > partition). >> > I think that this problem is coming from Kafka or some configuration in >> > Spark. I already tried to configure with the setting >> > "auto.offset.reset=largest", but every batch only gets 200 messages. >> > >> > Could you please tell me how to fix this problem? >> > Thank you so much. >> > >> > Best regards, >> > Alex >> > >> >> --------------------------------------------------------------------- >> To unsubscribe e-mail: user-unsubscr...@spark.apache.org >> > --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
