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https://issues.apache.org/jira/browse/SPARK-15661?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-15661.
-------------------------------
Resolution: Not A Problem
As described, this is not (necessarily) a problem. Your state may be referring
to your previous state; depends on how you wrote your app. This is a question
at this stage and should go to user@
> mapWithState eating heap memory
> -------------------------------
>
> Key: SPARK-15661
> URL: https://issues.apache.org/jira/browse/SPARK-15661
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.6.1
> Environment: OS : CentOS Linux release 7.2.1511 (Core)
> Spark 1.6.1
> Kafka 0.9.0.1
> zookeeper 3.4.8
> Java 1.8.0_65
> Reporter: Mayank Jain
> Priority: Critical
>
> I am using spark streaming, reading data from kafka (direct stream) at a
> batch interval of 30 secs. Input is coming at a rate of 2,00,000/minute
> (input contains timestamp).
> As per my use case i need to perform per minute aggregation (my groupby key
> fields includes "start_time" in minutes derived from input timestamp). Since
> i need to perform cumulative operation i am maintaining a state of aggregated
> data per micro-batch (at 30 sec interval).
> For the purpose i am using mapWithState. I am aggregating my data then
> perform mapWithState, if state exists then another round of aggregation is
> done (cumulative) and update the state else if state doesn't exists then it
> simply update it to the state (appending it to state). And timing out state
> after 3 minutes.
> Whats happening after smooth run of my spark job for few hours it start
> showing following error:
> 16/05/30 07:05:58 ERROR ShuffleBlockFetcherIterator: Failed to get block(s)
> from worker3:53492
> java.io.IOException: Failed to connect to worker3
> at
> org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:216)
> at
> org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:167)
> at
> org.apache.spark.network.netty.NettyBlockTransferService$$anon$1.createAndStart(NettyBlockTransferService.scala:90)
> at
> org.apache.spark.network.shuffle.RetryingBlockFetcher.fetchAllOutstanding(RetryingBlockFetcher.java:140)
> at
> org.apache.spark.network.shuffle.RetryingBlockFetcher.access$200(RetryingBlockFetcher.java:43)
> at
> org.apache.spark.network.shuffle.RetryingBlockFetcher$1.run(RetryingBlockFetcher.java:170)
> at
> java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: java.net.ConnectException: Connection refused: worker3
> at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
> at
> sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:717)
> at
> io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:224)
> at
> io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:289)
> at
> io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:528)
> at
> io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468)
> at
> io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382)
> at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354)
> at
> io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)
> ... 1 more
> On further analysis i found that one of my worker node was out of memory.
> After getting the dump of my heap of the worker i found that mapWithState is
> eating up the heap. It was recursively creating state inside another inside
> another..(that's why my garbage collector was not freeing up memory on state
> timeout).
> I have captured my heap as : http://prntscr.com/bah8i7
> Please suggest me best possible way to deal with this, i want my state get
> cleared after every 3 minutes from mapWithState free my memory.
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