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https://issues.apache.org/jira/browse/FLINK-4632?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15505243#comment-15505243
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刘喆 edited comment on FLINK-4632 at 9/20/16 1:26 AM:
----------------------------------------------------
Yes. The job's status is canceling, then hung. Web page is ok, client process
is ok, but kafka consumer canceled. I invoke 700 mapper, 698 canceled, 2 are
canceling.
When logging on the yarn nodemanager, it is running. Some log related as below:
2016-09-11 22:21:17,061 INFO
org.apache.flink.streaming.runtime.tasks.StreamTask - State backend
is set to heap memory (checkpoint to jobmanager)
2016-09-12 02:40:10,357 INFO org.apache.flink.yarn.YarnTaskManagerRunner
- RECEIVED SIGNAL 15: SIGTERM. Shutting down as requested.
2016-09-12 02:40:10,533 INFO org.apache.flink.runtime.blob.BlobCache
- Shutting down BlobCache
2016-09-12 02:40:10,821 INFO
org.apache.flink.runtime.io.disk.iomanager.IOManager - I/O manager
removed spill file directory
/data1/yarn/usercache/spa/appcache/application_1471620986643_563465/flink-io-ec6db7ad-e263-49fe-84a6-3dce983dc033
2016-09-12 02:40:10,895 INFO
org.apache.flink.runtime.io.disk.iomanager.IOManager - I/O manager
removed spill file directory
/data2/yarn/usercache/spa/appcache/application_1471620986643_563465/flink-io-4efbde55-1f64-44d2-87b8-85ed686c73c9
On ResourceManager, some log as below:
[r...@4.master.adh hadooplogs]# grep _1471620986643_563465_01_000090
yarn-yarn-resourcemanager-4.master.adh.log.31
2016-09-12 02:40:07,988 INFO
org.apache.hadoop.yarn.server.resourcemanager.rmcontainer.RMContainerImpl:
container_1471620986643_563465_01_000090 Container Transitioned from RUNNING to
KILLED
2016-09-12 02:40:07,988 INFO
org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FSAppAttempt:
Completed container: container_1471620986643_563465_01_000090 in state: KILLED
event:KILL
2016-09-12 02:40:07,988 INFO
org.apache.hadoop.yarn.server.resourcemanager.RMAuditLogger: USER=spa
OPERATION=AM Released Container TARGET=SchedulerApp RESULT=SUCCESS
APPID=application_1471620986643_563465
CONTAINERID=container_1471620986643_563465_01_000090
2016-09-12 02:40:07,988 INFO
org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerNode: Released
container container_1471620986643_563465_01_000090 of capacity <memory:2048,
vCores:1> on host 105.slave.adh:39890, which currently has 2 containers,
<memory:4096, vCores:2> used and <memory:45904, vCores:98> available, release
resources=true
2016-09-12 02:40:07,988 INFO
org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler:
Application attempt appattempt_1471620986643_563465_000001 released container
container_1471620986643_563465_01_000090 on node: host: 105.slave.adh:39890
#containers=2 available=45904 used=4096 with event: KILL
was (Author: liuzhe):
Yes. The job's status is canceling, then hung. Web page is ok, client process
is ok, but kafka consumer canceled. I invoke 700 mapper, 698 canceled, 2 is
canceling.
> when yarn nodemanager lost, flink hung
> ---------------------------------------
>
> Key: FLINK-4632
> URL: https://issues.apache.org/jira/browse/FLINK-4632
> Project: Flink
> Issue Type: Bug
> Components: Distributed Coordination, Streaming
> Affects Versions: 1.2.0, 1.1.2
> Environment: cdh5.5.1 jdk1.7 flink1.1.2 1.2-snapshot kafka0.8.2
> Reporter: 刘喆
>
> When run flink streaming on yarn, using kafka as source, it runs well when
> start. But after long run, for example 8 hours, dealing 60,000,000+
> messages, it hung: no messages consumed, one taskmanager is CANCELING, the
> exception show:
> org.apache.flink.runtime.io.network.netty.exception.LocalTransportException:
> connection timeout
> at
> org.apache.flink.runtime.io.network.netty.PartitionRequestClientHandler.exceptionCaught(PartitionRequestClientHandler.java:152)
> at
> io.netty.channel.AbstractChannelHandlerContext.invokeExceptionCaught(AbstractChannelHandlerContext.java:275)
> at
> io.netty.channel.AbstractChannelHandlerContext.fireExceptionCaught(AbstractChannelHandlerContext.java:253)
> at
> io.netty.channel.ChannelInboundHandlerAdapter.exceptionCaught(ChannelInboundHandlerAdapter.java:131)
> at
> io.netty.channel.AbstractChannelHandlerContext.invokeExceptionCaught(AbstractChannelHandlerContext.java:275)
> at
> io.netty.channel.AbstractChannelHandlerContext.fireExceptionCaught(AbstractChannelHandlerContext.java:253)
> at
> io.netty.channel.ChannelInboundHandlerAdapter.exceptionCaught(ChannelInboundHandlerAdapter.java:131)
> at
> io.netty.channel.AbstractChannelHandlerContext.invokeExceptionCaught(AbstractChannelHandlerContext.java:275)
> at
> io.netty.channel.AbstractChannelHandlerContext.fireExceptionCaught(AbstractChannelHandlerContext.java:253)
> at
> io.netty.channel.ChannelHandlerAdapter.exceptionCaught(ChannelHandlerAdapter.java:79)
> at
> io.netty.channel.AbstractChannelHandlerContext.invokeExceptionCaught(AbstractChannelHandlerContext.java:275)
> at
> io.netty.channel.AbstractChannelHandlerContext.fireExceptionCaught(AbstractChannelHandlerContext.java:253)
> at
> io.netty.channel.DefaultChannelPipeline.fireExceptionCaught(DefaultChannelPipeline.java:835)
> at
> io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.handleReadException(AbstractNioByteChannel.java:87)
> at
> io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:162)
> at
> io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:511)
> 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$2.run(SingleThreadEventExecutor.java:111)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: java.io.IOException: 连接超时
> at sun.nio.ch.FileDispatcherImpl.read0(Native Method)
> at sun.nio.ch.SocketDispatcher.read(SocketDispatcher.java:39)
> at sun.nio.ch.IOUtil.readIntoNativeBuffer(IOUtil.java:223)
> at sun.nio.ch.IOUtil.read(IOUtil.java:192)
> at sun.nio.ch.SocketChannelImpl.read(SocketChannelImpl.java:379)
> at
> io.netty.buffer.PooledUnsafeDirectByteBuf.setBytes(PooledUnsafeDirectByteBuf.java:311)
> at io.netty.buffer.AbstractByteBuf.writeBytes(AbstractByteBuf.java:881)
> at
> io.netty.channel.socket.nio.NioSocketChannel.doReadBytes(NioSocketChannel.java:241)
> at
> io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:119)
> ... 6 more
> after apply https://issues.apache.org/jira/browse/FLINK-4625
> it show:
> java.lang.Exception: TaskManager was lost/killed:
> ResourceID{resourceId='container_1471620986643_744852_01_001400'} @
> 38.slave.adh (dataPort=45349)
> at
> org.apache.flink.runtime.instance.SimpleSlot.releaseSlot(SimpleSlot.java:162)
> at
> org.apache.flink.runtime.instance.SlotSharingGroupAssignment.releaseSharedSlot(SlotSharingGroupAssignment.java:533)
> at
> org.apache.flink.runtime.instance.SharedSlot.releaseSlot(SharedSlot.java:138)
> at
> org.apache.flink.runtime.instance.Instance.markDead(Instance.java:167)
> at
> org.apache.flink.runtime.instance.InstanceManager.unregisterTaskManager(InstanceManager.java:224)
> at
> org.apache.flink.runtime.jobmanager.JobManager.org$apache$flink$runtime$jobmanager$JobManager$$handleTaskManagerTerminated(JobManager.scala:1054)
> at
> org.apache.flink.runtime.jobmanager.JobManager$$anonfun$handleMessage$1.applyOrElse(JobManager.scala:458)
> at
> scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:36)
> at
> org.apache.flink.runtime.clusterframework.ContaineredJobManager$$anonfun$handleContainerMessage$1.applyOrElse(ContaineredJobManager.scala:100)
> at scala.PartialFunction$OrElse.apply(PartialFunction.scala:167)
> at
> org.apache.flink.runtime.LeaderSessionMessageFilter$$anonfun$receive$1.applyOrElse(LeaderSessionMessageFilter.scala:36)
> at
> scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:36)
> at
> org.apache.flink.runtime.LogMessages$$anon$1.apply(LogMessages.scala:33)
> at
> org.apache.flink.runtime.LogMessages$$anon$1.apply(LogMessages.scala:28)
> at scala.PartialFunction$class.applyOrElse(PartialFunction.scala:123)
> at
> org.apache.flink.runtime.LogMessages$$anon$1.applyOrElse(LogMessages.scala:28)
> at akka.actor.Actor$class.aroundReceive(Actor.scala:465)
> at
> org.apache.flink.runtime.jobmanager.JobManager.aroundReceive(JobManager.scala:118)
> at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
> at akka.actor.ActorCell.invoke(ActorCell.scala:487)
> at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:254)
> at akka.dispatch.Mailbox.run(Mailbox.scala:221)
> at akka.dispatch.Mailbox.exec(Mailbox.scala:231)
> at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
> at
> scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.pollAndExecAll(ForkJoinPool.java:1253)
> at
> scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1346)
> at
> scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
> at
> scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
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