Hi, I use CSV and other text files to Kafka just to test Kafka + Spark Streaming by using direct stream. That's why I don't want Spark streaming reads CSVs or text files directly. In addition, I don't want a giant batch of records like the link you sent. The problem is that we should receive the "similar" number of record of all batchs instead of the first two or three batches have so large number of records (e.g., 100K) but the last 1000 batches with only 200 records.
I know that the problem is not from the auto.offset.reset=largest, but I don't know what I can do in this case. Do you and other ones could suggest me some solutions please as this seems the normal situation with Kafka+SpartStreaming. Thanks. Alex On Thu, Nov 17, 2016 at 2:32 AM, Cody Koeninger <c...@koeninger.org> wrote: > 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 > >> > > >
