[
https://issues.apache.org/jira/browse/MAPREDUCE-7240?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
luhuachao updated MAPREDUCE-7240:
---------------------------------
Labels: kerberos (was: )
> Exception ' Invalid event: TA_TOO_MANY_FETCH_FAILURE at
> SUCCESS_FINISHING_CONTAINER' cause job failed
> -----------------------------------------------------------------------------------------------------
>
> Key: MAPREDUCE-7240
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-7240
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Affects Versions: 2.8.2
> Reporter: luhuachao
> Priority: Major
> Labels: kerberos
>
> log in appmaster
> {code:java}
> 2019-09-03 17:18:43,090 INFO [AsyncDispatcher event handler]
> org.apache.hadoop.mapreduce.v2.app.job.impl.JobImpl: Too many fetch-failures
> for output of task attempt: attempt_1566552310686_260041_m_000052_0 ...
> raising fetch failure to map2019-09-03 17:18:43,090 INFO [AsyncDispatcher
> event handler] org.apache.hadoop.mapreduce.v2.app.job.impl.JobImpl: Too many
> fetch-failures for output of task attempt:
> attempt_1566552310686_260041_m_000052_0 ... raising fetch failure to
> map2019-09-03 17:18:43,091 INFO [AsyncDispatcher event handler]
> org.apache.hadoop.mapreduce.v2.app.job.impl.JobImpl: Too many fetch-failures
> for output of task attempt: attempt_1566552310686_260041_m_000049_0 ...
> raising fetch failure to map2019-09-03 17:18:43,091 INFO [AsyncDispatcher
> event handler] org.apache.hadoop.mapreduce.v2.app.job.impl.JobImpl: Too many
> fetch-failures for output of task attempt:
> attempt_1566552310686_260041_m_000051_0 ... raising fetch failure to
> map2019-09-03 17:18:43,091 INFO [AsyncDispatcher event handler]
> org.apache.hadoop.mapreduce.v2.app.job.impl.JobImpl: Too many fetch-failures
> for output of task attempt: attempt_1566552310686_260041_m_000050_0 ...
> raising fetch failure to map2019-09-03 17:18:43,091 INFO [AsyncDispatcher
> event handler] org.apache.hadoop.mapreduce.v2.app.job.impl.JobImpl: Too many
> fetch-failures for output of task attempt:
> attempt_1566552310686_260041_m_000053_0 ... raising fetch failure to
> map2019-09-03 17:18:43,092 INFO [AsyncDispatcher event handler]
> org.apache.hadoop.mapreduce.v2.app.job.impl.TaskAttemptImpl:
> attempt_1566552310686_260041_m_000052_0 transitioned from state SUCCEEDED to
> FAILED, event type is TA_TOO_MANY_FETCH_FAILURE and
> nodeId=yarn095:454542019-09-03 17:18:43,092 ERROR [AsyncDispatcher event
> handler] org.apache.hadoop.mapreduce.v2.app.job.impl.TaskAttemptImpl: Can't
> handle this event at current state for
> attempt_1566552310686_260041_m_000049_0org.apache.hadoop.yarn.state.InvalidStateTransitionException:
> Invalid event: TA_TOO_MANY_FETCH_FAILURE at SUCCESS_FINISHING_CONTAINER 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.mapreduce.v2.app.job.impl.TaskAttemptImpl.handle(TaskAttemptImpl.java:1206)
> at
> org.apache.hadoop.mapreduce.v2.app.job.impl.TaskAttemptImpl.handle(TaskAttemptImpl.java:146)
> at
> org.apache.hadoop.mapreduce.v2.app.MRAppMaster$TaskAttemptEventDispatcher.handle(MRAppMaster.java:1458)
> at
> org.apache.hadoop.mapreduce.v2.app.MRAppMaster$TaskAttemptEventDispatcher.handle(MRAppMaster.java:1450)
> at
> org.apache.hadoop.yarn.event.AsyncDispatcher.dispatch(AsyncDispatcher.java:184)
> at
> org.apache.hadoop.yarn.event.AsyncDispatcher$1.run(AsyncDispatcher.java:110)
> at java.lang.Thread.run(Thread.java:745)2019-09-03 17:18:43,093 ERROR
> [AsyncDispatcher event handler]
> org.apache.hadoop.mapreduce.v2.app.job.impl.TaskAttemptImpl: Can't handle
> this event at current state for
> attempt_1566552310686_260041_m_000051_0org.apache.hadoop.yarn.state.InvalidStateTransitionException:
> Invalid event: TA_TOO_MANY_FETCH_FAILURE at SUCCESS_FINISHING_CONTAINER 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.mapreduce.v2.app.job.impl.TaskAttemptImpl.handle(TaskAttemptImpl.java:1206)
> at
> org.apache.hadoop.mapreduce.v2.app.job.impl.TaskAttemptImpl.handle(TaskAttemptImpl.java:146)
> at
> org.apache.hadoop.mapreduce.v2.app.MRAppMaster$TaskAttemptEventDispatcher.handle(MRAppMaster.java:1458)
> at
> org.apache.hadoop.mapreduce.v2.app.MRAppMaster$TaskAttemptEventDispatcher.handle(MRAppMaster.java:1450)
> at
> org.apache.hadoop.yarn.event.AsyncDispatcher.dispatch(AsyncDispatcher.java:184)
> at
> org.apache.hadoop.yarn.event.AsyncDispatcher$1.run(AsyncDispatcher.java:110)
> at java.lang.Thread.run(Thread.java:745)2019-09-03 17:18:43,093 INFO
> [AsyncDispatcher event handler]
> org.apache.hadoop.mapreduce.v2.app.job.impl.TaskAttemptImpl:
> attempt_1566552310686_260041_m_000050_0 transitioned from state SUCCEEDED to
> FAILED, event type is TA_TOO_MANY_FETCH_FAILURE and
> nodeId=yarn095:454542019-09-03 17:18:43,093 INFO [AsyncDispatcher event
> handler] org.apache.hadoop.mapreduce.v2.app.job.impl.TaskAttemptImpl:
> attempt_1566552310686_260041_m_000053_0 transitioned from state SUCCEEDED to
> FAILED, event type is TA_TOO_MANY_FETCH_FAILURE and
> nodeId=yarn095:454542019-09-03 17:18:43,094 INFO [AsyncDispatcher event
> handler] org.apache.hadoop.mapreduce.v2.app.job.impl.TaskImpl:
> task_1566552310686_260041_m_000052 Task Transitioned from SUCCEEDED to
> SCHEDULED2019-09-03 17:18:43,096 FATAL [IPC Server handler 27 on 35972]
> org.apache.hadoop.mapred.TaskAttemptListenerImpl: Task:
> attempt_1566552310686_260041_r_000005_0 - exited :
> org.apache.hadoop.mapreduce.task.reduce.Shuffle$ShuffleError: error in
> shuffle in fetcher#22 at
> org.apache.hadoop.mapreduce.task.reduce.Shuffle.run(Shuffle.java:134) at
> org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:376) at
> org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:175) at
> java.security.AccessController.doPrivileged(Native Method) at
> javax.security.auth.Subject.doAs(Subject.java:422) at
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1961)
> at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:169)Caused by:
> java.io.IOException: Exceeded MAX_FAILED_UNIQUE_FETCHES; bailing-out. at
> org.apache.hadoop.mapreduce.task.reduce.ShuffleSchedulerImpl.checkReducerHealth(ShuffleSchedulerImpl.java:367)
> at
> org.apache.hadoop.mapreduce.task.reduce.ShuffleSchedulerImpl.copyFailed(ShuffleSchedulerImpl.java:289)
> at
> org.apache.hadoop.mapreduce.task.reduce.Fetcher.copyFromHost(Fetcher.java:355)
> at org.apache.hadoop.mapreduce.task.reduce.Fetcher.run(Fetcher.java:193)
> 2019-09-03 17:18:43,096 INFO [IPC Server handler 27 on 35972]
> org.apache.hadoop.mapred.TaskAttemptListenerImpl: Diagnostics report from
> attempt_1566552310686_260041_r_000005_0: Error:
> org.apache.hadoop.mapreduce.task.reduce.Shuffle$ShuffleError: error in
> shuffle in fetcher#22 at
> org.apache.hadoop.mapreduce.task.reduce.Shuffle.run(Shuffle.java:134) at
> org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:376) at
> org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:175) at
> java.security.AccessController.doPrivileged(Native Method) at
> javax.security.auth.Subject.doAs(Subject.java:422) at
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1961)
> at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:169)Caused by:
> java.io.IOException: Exceeded MAX_FAILED_UNIQUE_FETCHES; bailing-out. at
> org.apache.hadoop.mapreduce.task.reduce.ShuffleSchedulerImpl.checkReducerHealth(ShuffleSchedulerImpl.java:367)
> at
> org.apache.hadoop.mapreduce.task.reduce.ShuffleSchedulerImpl.copyFailed(ShuffleSchedulerImpl.java:289)
> at
> org.apache.hadoop.mapreduce.task.reduce.Fetcher.copyFromHost(Fetcher.java:355)
> at org.apache.hadoop.mapreduce.task.reduce.Fetcher.run(Fetcher.java:193)
> 2019-09-03 17:18:43,097 INFO [AsyncDispatcher event handler]
> org.apache.hadoop.mapreduce.v2.app.job.impl.JobImpl:
> job_1566552310686_260041Job Transitioned from RUNNING to ERROR2019-09-03
> 17:18:43,099 INFO [AsyncDispatcher event handler]
> org.apache.hadoop.mapreduce.v2.app.job
> {code}
> nodemanager's log is like same with log in MAPREDUCE-6869.
> the code in TaskAttemptImpl indicate the Invalid event:
> TA_TOO_MANY_FETCH_FAILURE at SUCCESS_FINISHING_CONTAINER cause the job state
> turn into error; what i confused is
> # what cause the appmater handle the TA_TOO_MANY_FETCH_FAILURE event on
> SUCCESS_FINISHING_CONTAINER，wrong event on this state. but some other can
> successfuly transitioned from state SUCCEEDED to FAILED on
> TA_TOO_MANY_FETCH_FAILURE event.
> # restart the nodemanager would solve the error in nm; the shuffle error
> would fix too. what cause this phenomenon.
> Please correct me if I am wrong.
--
This message was sent by Atlassian Jira
(v8.3.2#803003)
---------------------------------------------------------------------
To unsubscribe, e-mail: mapreduce-issues-unsubscr...@hadoop.apache.org
For additional commands, e-mail: mapreduce-issues-h...@hadoop.apache.org
