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https://issues.apache.org/jira/browse/SPARK-14559?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15413408#comment-15413408
]
shijinkui commented on SPARK-14559:
-----------------------------------
spark: 2.0.0
yarn: 1.7.2
yarn log error:
2016-08-09 19:31:22,061 ERROR
org.apache.hadoop.yarn.server.resourcemanager.rmapp.attempt.RMAppAttemptImpl:
Can't handle this event at current state
org.apache.hadoop.yarn.state.InvalidStateTransitonException: Invalid event:
CONTAINER_ALLOCATED at LAUNCHED
at
org.apache.hadoop.yarn.state.StateMachineFactory.doTransition(StateMachineFactory.java:305)
at
org.apache.hadoop.yarn.state.StateMachineFactory.access$300(StateMachineFactory.java:46)
at
org.apache.hadoop.yarn.state.StateMachineFactory$InternalStateMachine.doTransition(StateMachineFactory.java:448)
at
org.apache.hadoop.yarn.server.resourcemanager.rmapp.attempt.RMAppAttemptImpl.handle(RMAppAttemptImpl.java:789)
at
org.apache.hadoop.yarn.server.resourcemanager.rmapp.attempt.RMAppAttemptImpl.handle(RMAppAttemptImpl.java:105)
at
org.apache.hadoop.yarn.server.resourcemanager.ResourceManager$ApplicationAttemptEventDispatcher.handle(ResourceManager.java:795)
at
org.apache.hadoop.yarn.server.resourcemanager.ResourceManager$ApplicationAttemptEventDispatcher.handle(ResourceManager.java:776)
at
org.apache.hadoop.yarn.event.AsyncDispatcher.dispatch(AsyncDispatcher.java:183)
at
org.apache.hadoop.yarn.event.AsyncDispatcher$1.run(AsyncDispatcher.java:109)
at java.lang.Thread.run(Thread.java:745)
2016-08-09 19:31:22,654 INFO
org.apache.hadoop.yarn.server.resourcemanager.rmcontainer.RMContainerImpl:
container_1470732309211_0016_02_000002 Container Transitioned from ACQUIRED to
RUNNING
2016-08-09 19:31:28,533 INFO
org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler:
Null container completed...
2016-08-09 19:31:29,534 INFO
org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler:
Null container completed...
2016-08-09 19:31:29,545 INFO
org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler:
Null container completed...
> Netty RPC didn't check channel is active before sending message
> ---------------------------------------------------------------
>
> Key: SPARK-14559
> URL: https://issues.apache.org/jira/browse/SPARK-14559
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.6.0, 1.6.1
> Environment: spark1.6.1 hadoop2.2.0 jdk1.8.0_65
> Reporter: cen yuhai
>
> I have a long-running service. After running for serveral hours, It throwed
> these exceptions. I found that before sending rpc request by calling sendRpc
> method in TransportClient, there is no check that whether the channel is
> still open or active ?
> java.nio.channels.ClosedChannelException
> 4865 16/04/12 11:24:00 ERROR TransportClient: Failed to send RPC
> 5635696155204230556 to
> bigdata-arch-hdp407.bh.diditaxi.com/10.234.23.107:55197: java.nio.
> channels.ClosedChannelException
> 4866 java.nio.channels.ClosedChannelException
> 4867 16/04/12 11:24:00 ERROR TransportClient: Failed to send RPC
> 7319486003318455703 to
> bigdata-arch-hdp1235.bh.diditaxi.com/10.168.145.239:36439: java.nio.
> channels.ClosedChannelException
> 4868 java.nio.channels.ClosedChannelException
> 4869 16/04/12 11:24:00 ERROR TransportClient: Failed to send RPC
> 9041854451893215954 to
> bigdata-arch-hdp1398.bh.diditaxi.com/10.248.117.216:26801: java.nio.
> channels.ClosedChannelException
> 4870 java.nio.channels.ClosedChannelException
> 4871 16/04/12 11:24:00 ERROR TransportClient: Failed to send RPC
> 6046473497871624501 to
> bigdata-arch-hdp948.bh.diditaxi.com/10.118.114.81:41903: java.nio.
> channels.ClosedChannelException
> 4872 java.nio.channels.ClosedChannelException
> 4873 16/04/12 11:24:00 ERROR TransportClient: Failed to send RPC
> 9085605650438705047 to
> bigdata-arch-hdp1126.bh.diditaxi.com/10.168.146.78:27023: java.nio.
> channels.ClosedChannelException
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