I just finished setting up a small hadoop cluster (using 3 ubuntu machines and apache hadoop 2.2.0) and am now trying to run python streaming jobs.
Running a test job I encounter the following problem:
Almost all map tasks are marked as successful but with note saying Container killed.
On the online interface the log for the map jobs says:
Progress 100.00
State SUCCEEDED
but under Note it says for almost every attempt (~200)
Container killed by the ApplicationMaster.
or
Container killed by the ApplicationMaster. Container killed on request. Exit code is 143
In the log file associated with the attempt I can see a log saying Task 'attempt_xxxxxxxxx_0' done.
I also get 3 attempts with the same log, only those 3 have
State KILLED
which are under killed jobs.
stderr output is empty for all jobs/attempts.
When looking at the application master log and following one of the successful (but killed) attempts I find the following logs:
All the attempts are numbered xxxx_0 so I assume they are not killed as a result of speculative execution.
Should I be worried about this? And what causes the containers to be killed? Any suggestions would be greatly appreciated!
Yes, I agree with @joshua. It seems to be a bug related to a task/container not dying gracefully after successfully finishing the map/reduce task. After the grace period, the ApplicationMaster has to kill it instead.
I am running 'yarn version'= Hadoop 2.5.0-cdh5.3.0
I picked one of the tasks and grep'ed for its history in the log generated for my MR application:
$ yarn logs -applicationId application_1422894000163_0003 |grep attempt_1422894000163_0003_r_000008_0
You will see that "attempt_1422894000163_0003_r_000008_0" goes through the "TaskAttempt Transitioned from NEW to UNASSIGNED .. to RUNNING to SUCCESS_CONTAINER_CLEANUP'.
In the step 'SUCCESS_CONTAINER_CLEANUP', you will see messages about this container being killed. After this container is killed, this attempt goes into the "TaskAttempt Transitioned from SUCCESS_CONTAINER_CLEANUP to SUCCEEDED" step.
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