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https://issues.apache.org/jira/browse/HADOOP-2119?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12561091#action_12561091
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Amar Kamat commented on HADOOP-2119:
------------------------------------

Some doubts,
{quote}
 +            synchronized (JobTracker.this) {
 +                     for(count=0;count<jlist.size();count++) {
{quote}

this indicates that the array is scanned with the lock acquired. Is it 
scalable? Since the array size could be huge. Locking the JobTracker for this 
duration could be a performance hit or am I missing something? Currently only 
one task is considered at a time thus freeing the locks in between and thus the 
JobTracker progresses in between.

> JobTracker becomes non-responsive if the task trackers finish task too fast
> ---------------------------------------------------------------------------
>
>                 Key: HADOOP-2119
>                 URL: https://issues.apache.org/jira/browse/HADOOP-2119
>             Project: Hadoop
>          Issue Type: Bug
>          Components: mapred
>    Affects Versions: 0.16.0
>            Reporter: Runping Qi
>            Priority: Blocker
>             Fix For: 0.16.0
>
>         Attachments: hadoop-2119.patch, hadoop-jobtracker-thread-dump.txt
>
>
> I ran a job with 0 reducer on a cluster with 390 nodes.
> The mappers ran very fast.
> The jobtracker lacks behind on committing completed mapper tasks.
> The number of running mappers displayed on web UI getting bigger and bigger.
> The jos tracker eventually stopped responding to web UI.
> No progress is reported afterwards.
> Job tracker is running on a separate node.
> The job tracker process consumed 100% cpu, with vm size 1.01g (reach the heap 
> space limit).

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