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From "Karthik Kambatla (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (MAPREDUCE-5110) Long task launch delays can lead to multiple parallel attempts of the task
Date Thu, 18 Apr 2013 00:45:16 GMT

     [ https://issues.apache.org/jira/browse/MAPREDUCE-5110?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Karthik Kambatla updated MAPREDUCE-5110:
----------------------------------------

    Attachment: mr-5110-half-tt-expiry.patch

[~vinodkv], here is a new patch that uses half the tt-expriry-interval as the timeout for
task launch. Do you think this is a resonable way to go about it, or do you think it is better
to add a job-specific parameter?

I ll validate the patch we finalize on a cluster.
                
> Long task launch delays can lead to multiple parallel attempts of the task
> --------------------------------------------------------------------------
>
>                 Key: MAPREDUCE-5110
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-5110
>             Project: Hadoop Map/Reduce
>          Issue Type: Bug
>          Components: tasktracker
>    Affects Versions: 1.1.2
>            Reporter: Karthik Kambatla
>            Assignee: Karthik Kambatla
>         Attachments: expose-mr-5110.patch, mr-5110-half-tt-expiry.patch, mr-5110.patch,
mr-5110.patch, mr-5110-tt-only.patch
>
>
> If a task takes too long to launch, the JT expires the task and schedules another attempt.
The earlier attempt can start after the later attempt leading to two parallel attempts running
at the same time. This is particularly an issue if the user turns off speculation and expects
a single attempt of a task to run at any point in time.

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