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https://issues.apache.org/jira/browse/MAPREDUCE-3184?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13127180#comment-13127180
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Arun C Murthy commented on MAPREDUCE-3184:
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Two ways around it:
# An expedient way would be to add a HTTP GET to the node health script...
# We could also rollup task failures in the JT against the TT.
Given where we are in the product lifecycle for MR1, I'd vote for 1. Seems
reasonable for MR2 also...
Thoughts?
> Improve handling of fetch failures when a tasktracker is not responding on
> HTTP
> -------------------------------------------------------------------------------
>
> Key: MAPREDUCE-3184
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-3184
> Project: Hadoop Map/Reduce
> Issue Type: Improvement
> Components: jobtracker
> Affects Versions: 0.20.205.0
> Reporter: Todd Lipcon
>
> On a 100 node cluster, we had an issue where one of the TaskTrackers was hit
> by MAPREDUCE-2386 and stopped responding to fetches. The behavior observed
> was the following:
> - every reducer would try to fetch the same map task, and fail after ~13
> minutes.
> - At that point, all reducers would report this failed fetch to the JT for
> the same task, and the task would be re-run.
> - Meanwhile, the reducers would move on to the next map task that ran on the
> TT, and hang for another 13 minutes.
> The job essentially made no progress for hours, as each map task that ran on
> the bad node was serially marked failed.
> To combat this issue, we should introduce a second type of failed fetch
> notification, used when the TT does not respond at all (ie
> SocketTimeoutException, etc). These fetch failure notifications should count
> against the TT at large, rather than a single task. If more than half of the
> reducers report such an issue for a given TT, then all of the tasks from that
> TT should be re-run.
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