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https://issues.apache.org/jira/browse/MAPREDUCE-4749?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13489062#comment-13489062
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Arpit Gupta commented on MAPREDUCE-4749:
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The approach that is now taken is
There is a queue that holds all active actions and an array list that holds all
tainted actions. When the processing starts we traverse over the tainted
actions and if they are clean they get added to the active cleanup queue and
removed from the tainted list. Then if the active action queue is empty we
sleep for 2s and then re process. If not we go ahead and process the action, if
the action being processed happens to be localizing then it gets added to the
tainted actions list.
We also use another data structure to keep track of what actions are in the
queue in order to avoid duplicates.
> Killing multiple attempts of a task taker longer as more attempts are killed
> ----------------------------------------------------------------------------
>
> Key: MAPREDUCE-4749
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-4749
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Affects Versions: 1.1.0
> Reporter: Arpit Gupta
> Assignee: Arpit Gupta
> Attachments: MAPREDUCE-4749.branch-1.patch,
> MAPREDUCE-4749.branch-1.patch
>
>
> The following was noticed on a mr job running on hadoop 1.1.0
> 1. Start an mr job with 1 mapper
> 2. Wait for a min
> 3. Kill the first attempt of the mapper and then subsequently kill the other
> 3 attempts in order to fail the job
> The time taken to kill the task grew exponentially.
> 1st attempt was killed immediately.
> 2nd attempt took a little over a min
> 3rd attempt took approx. 20 mins
> 4th attempt took around 3 hrs.
> The command used to kill the attempt was "hadoop job -fail-task"
> Note that the command returned immediately as soon as the fail attempt was
> accepted but the time the attempt was actually killed was as stated above.
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