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luhuachao updated MAPREDUCE-7240: --------------------------------- Attachment: (was: MAPREDUCE-7240.branch-2.8.2.001.patch) > Exception ' Invalid event: TA_TOO_MANY_FETCH_FAILURE at > SUCCESS_FINISHING_CONTAINER' cause job error > ---------------------------------------------------------------------------------------------------- > > 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: Critical > Labels: kerberos > > *log in appmaster* > {noformat} > 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 map > 2019-09-03 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 map > 2019-09-03 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 map > 2019-09-03 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 map > 2019-09-03 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 map > 2019-09-03 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=yarn095:45454 > 2019-09-03 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_0 > org.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_0 > org.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$1.run(AsyncDispatcher.java:110) > at java.lang.Thread.run(Thread.java:745) > 2019-09-03 17:18:43,093 INFO [AsyncDispatcher event handler] > org.apache.hadoop.mapreduce.v2.app.job.impl.TaskAttemptImpl: > attempt_1566552310686_260041_m_000050_0 transitioned from state SUCCEEDED to > FAILED, event type is TA_TOO_MANY_FETCH_FAILURE and nodeId=yarn095:45454 > 2019-09-03 17:18:43,093 INFO [AsyncDispatcher event handler] > org.apache.hadoop.mapreduce.v2.app.job.impl.TaskAttemptImpl: > attempt_1566552310686_260041_m_000053_0 transitioned from state SUCCEEDED to > FAILED, event type is TA_TOO_MANY_FETCH_FAILURE and nodeId=yarn095:45454 > 2019-09-03 17:18:43,094 INFO [AsyncDispatcher event handler] > org.apache.hadoop.mapreduce.v2.app.job.impl.TaskImpl: > task_1566552310686_260041_m_000052 Task Transitioned from SUCCEEDED to > SCHEDULED > 2019-09-03 17:18:43,096 FATAL [IPC Server handler 27 on 35972] > org.apache.hadoop.mapred.TaskAttemptListenerImpl: Task: > attempt_1566552310686_260041_r_000005_0 - exited : > org.apache.hadoop.mapreduce.task.reduce.Shuffle$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 ERROR > 2019-09-03 17:18:43,099 INFO [AsyncDispatcher event handler] > org.apache.hadoop.mapreduce.v2.app.job > {noformat} > > 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,illegal event on this state. but some other can > successfully 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. > Correct me if I am 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