curious about why you're only seeing 50 records max per batch. how many receivers are you running? what is the rate that you're putting data onto the stream?
per the default AWS kinesis configuration, the producer can do 1000 PUTs per second with max 50k bytes per PUT and max 1mb per second per shard. on the consumer side, you can only do 5 GETs per second and 2mb per second per shard. my hunch is that the 5 GETs per second is what's limiting your consumption rate. can you verify that these numbers match what you're seeing? if so, you may want to increase your shards and therefore the number of kinesis receivers. otherwise, this may require some further investigation on my part. i wanna stay on top of this if it's an issue. thanks for posting this, aniket! -chris On Fri, Sep 12, 2014 at 5:34 AM, Aniket Bhatnagar < aniket.bhatna...@gmail.com> wrote: > Hi all > > Sorry but this was totally my mistake. In my persistence logic, I was > creating async http client instance in RDD foreach but was never closing it > leading to memory leaks. > > Apologies for wasting everyone's time. > > Thanks, > Aniket > > On 12 September 2014 02:20, Tathagata Das <tathagata.das1...@gmail.com> > wrote: > >> Which version of spark are you running? >> >> If you are running the latest one, then could try running not a window >> but a simple event count on every 2 second batch, and see if you are still >> running out of memory? >> >> TD >> >> >> On Thu, Sep 11, 2014 at 10:34 AM, Aniket Bhatnagar < >> aniket.bhatna...@gmail.com> wrote: >> >>> I did change it to be 1 gb. It still ran out of memory but a little >>> later. >>> >>> The streaming job isnt handling a lot of data. In every 2 seconds, it >>> doesn't get more than 50 records. Each record size is not more than 500 >>> bytes. >>> On Sep 11, 2014 10:54 PM, "Bharat Venkat" <bvenkat.sp...@gmail.com> >>> wrote: >>> >>>> You could set "spark.executor.memory" to something bigger than the >>>> default (512mb) >>>> >>>> >>>> On Thu, Sep 11, 2014 at 8:31 AM, Aniket Bhatnagar < >>>> aniket.bhatna...@gmail.com> wrote: >>>> >>>>> I am running a simple Spark Streaming program that pulls in data from >>>>> Kinesis at a batch interval of 10 seconds, windows it for 10 seconds, maps >>>>> data and persists to a store. >>>>> >>>>> The program is running in local mode right now and runs out of memory >>>>> after a while. I am yet to investigate heap dumps but I think Spark isn't >>>>> releasing memory after processing is complete. I have even tried changing >>>>> storage level to disk only. >>>>> >>>>> Help! >>>>> >>>>> Thanks, >>>>> Aniket >>>>> >>>> >>>> >> >
