Re: Out of memory with Spark Streaming
Thanks Chris for looking at this. I was putting data at roughly the same 50 records per batch max. This issue was purely because of a bug in my persistence logic that was leaking memory. Overall, I haven't seen a lot of lag with kinesis + spark setup and I am able to process records at roughly the same rate as data as fed into kinesis with acceptable latency. Thanks, Aniket On Oct 31, 2014 1:15 AM, Chris Fregly ch...@fregly.com wrote: 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
Re: Out of memory with Spark Streaming
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
Re: Out of memory with Spark Streaming
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
Re: Out of memory with Spark Streaming
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
Re: Out of memory with Spark Streaming
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
