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Posted to mapreduce-issues@hadoop.apache.org by "Gergo Repas (JIRA)" <ji...@apache.org> on 2017/12/20 15:34:00 UTC
[jira] [Created] (MAPREDUCE-7028) Concurrent task progress updates
causing NPE in Application Master
Gergo Repas created MAPREDUCE-7028:
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Summary: Concurrent task progress updates causing NPE in Application Master
Key: MAPREDUCE-7028
URL: https://issues.apache.org/jira/browse/MAPREDUCE-7028
Project: Hadoop Map/Reduce
Issue Type: Bug
Components: mr-am
Affects Versions: 3.1.0, 3.0.1, 2.10.0, 2.9.1, 2.8.4, 2.7.6
Reporter: Gergo Repas
Assignee: Gergo Repas
Concurrent task progress updates can cause a NullPointerException in the Application Master (stack trace is with code at current trunk):
{quote}
2017-12-20 06:49:42,369 INFO [IPC Server handler 9 on 39501] org.apache.hadoop.mapred.TaskAttemptListenerImpl: Progress of TaskAttempt attempt_1513780867907_0001_m_000002_0 is : 0.02677883
2017-12-20 06:49:42,369 INFO [IPC Server handler 13 on 39501] org.apache.hadoop.mapred.TaskAttemptListenerImpl: Progress of TaskAttempt attempt_1513780867907_0001_m_000002_0 is : 0.02677883
2017-12-20 06:49:42,383 FATAL [AsyncDispatcher event handler] org.apache.hadoop.yarn.event.AsyncDispatcher: Error in dispatcher thread
java.lang.NullPointerException
at org.apache.hadoop.mapreduce.v2.app.job.impl.TaskAttemptImpl$StatusUpdater.transition(TaskAttemptImpl.java:2450)
at org.apache.hadoop.mapreduce.v2.app.job.impl.TaskAttemptImpl$StatusUpdater.transition(TaskAttemptImpl.java:2433)
at org.apache.hadoop.yarn.state.StateMachineFactory$SingleInternalArc.doTransition(StateMachineFactory.java:362)
at org.apache.hadoop.yarn.state.StateMachineFactory.doTransition(StateMachineFactory.java:302)
at org.apache.hadoop.yarn.state.StateMachineFactory.access$500(StateMachineFactory.java:46)
at org.apache.hadoop.yarn.state.StateMachineFactory$InternalStateMachine.doTransition(StateMachineFactory.java:487)
at org.apache.hadoop.mapreduce.v2.app.job.impl.TaskAttemptImpl.handle(TaskAttemptImpl.java:1362)
at org.apache.hadoop.mapreduce.v2.app.job.impl.TaskAttemptImpl.handle(TaskAttemptImpl.java:154)
at org.apache.hadoop.mapreduce.v2.app.MRAppMaster$TaskAttemptEventDispatcher.handle(MRAppMaster.java:1543)
at org.apache.hadoop.mapreduce.v2.app.MRAppMaster$TaskAttemptEventDispatcher.handle(MRAppMaster.java:1535)
at org.apache.hadoop.yarn.event.AsyncDispatcher.dispatch(AsyncDispatcher.java:197)
at org.apache.hadoop.yarn.event.AsyncDispatcher$1.run(AsyncDispatcher.java:126)
at java.lang.Thread.run(Thread.java:748)
2017-12-20 06:49:42,385 INFO [IPC Server handler 13 on 39501] org.apache.hadoop.mapred.TaskAttemptListenerImpl: Progress of TaskAttempt attempt_1513780867907_0001_m_000002_0 is : 0.02677883
2017-12-20 06:49:42,386 INFO [AsyncDispatcher ShutDown handler] org.apache.hadoop.yarn.event.AsyncDispatcher: Exiting, bbye..
{quote}
This happened naturally in several big wordcount runs, and I could reproduce this reliably by artificially making task updates more frequent.
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