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https://issues.apache.org/jira/browse/MAPREDUCE-4117?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13249989#comment-13249989
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Jonathan Eagles commented on MAPREDUCE-4117:
--------------------------------------------
My initial thought was the same as yours. However, in TypeConverter, you will
see that both JobState.FAILED and JobState.ERROR are translated to
JobStatus.State.FAILED. I believe it to be to much to assume that if
JobStatus.State is FAILED, then you will be guaranteed to have either 1)a
failed task completion event or 2) no task completion events at all. It is much
more clear and simple to me to check for null in this case.
> mapred job -status throws NullPointerException
> ----------------------------------------------
>
> Key: MAPREDUCE-4117
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-4117
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Components: client, mrv2
> Affects Versions: 2.0.0, 3.0.0
> Reporter: Devaraj K
> Assignee: Devaraj K
> Priority: Critical
> Attachments: MAPREDUCE-4117.patch
>
>
> {code:xml}
> dev@ubuntudev-linux:~/hadoop/hadoop-trunk/bin$ ./mapred job -status
> job_1333408894669_0001
> Exception in thread "main" java.lang.NullPointerException
> at org.apache.hadoop.mapreduce.Job.getTaskFailureEventString(Job.java:512)
> at org.apache.hadoop.mapreduce.Job.toString(Job.java:463)
> at java.lang.String.valueOf(String.java:2838)
> at java.io.PrintStream.println(PrintStream.java:788)
> at org.apache.hadoop.mapreduce.tools.CLI.run(CLI.java:255)
> at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:69)
> at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:83)
> at org.apache.hadoop.mapred.JobClient.main(JobClient.java:1244)
> {code}
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