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https://issues.apache.org/jira/browse/HADOOP-4296?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12637015#action_12637015
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Joydeep Sen Sarma commented on HADOOP-4296:
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we definitely care about the status of completed jobs (and i think most
installations would - given that at least some of the uses are always
programmatic invocations that check return status).
does the jobstatus store need to scan dfs even when the job status is available
in memory? (falling back to persistent store only when the data is missing in
memory would seem like a good strategy). another question is whether job
counters are available from the persisted job status?
> Spasm of JobClient failures on successful jobs every once in a while
> --------------------------------------------------------------------
>
> Key: HADOOP-4296
> URL: https://issues.apache.org/jira/browse/HADOOP-4296
> Project: Hadoop Core
> Issue Type: Bug
> Components: mapred
> Affects Versions: 0.17.1
> Reporter: Joydeep Sen Sarma
> Assignee: dhruba borthakur
> Priority: Critical
> Attachments: 4296_jt_delayretire.patch
>
>
> At very busy times - we get a wave of job client failures all at the same
> time. the failures come when the job is about to complete. when we look at
> the job history files - the jobs are actually complete. Here's the stack:
> 08/09/27 02:18:00 INFO mapred.JobClient: map 100% reduce 98%
> 08/09/27 02:18:41 INFO mapred.JobClient: map 100% reduce 99%
> java.lang.NullPointerException
> at org.apache.hadoop.mapred.JobClient.runJob(JobClient.java:993)
> at
> com.facebook.hive.common.columnSetLoader.main(columnSetLoader.java:535)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
> at java.lang.reflect.Method.invoke(Method.java:597)
> at org.apache.hadoop.util.RunJar.main(RunJar.java:155)
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