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From "Haibo Chen (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (MAPREDUCE-6870) Add configuration for MR job to finish when all reducers are complete (even with unfinished mappers)
Date Fri, 11 Aug 2017 21:32:00 GMT

     [ https://issues.apache.org/jira/browse/MAPREDUCE-6870?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Haibo Chen updated MAPREDUCE-6870:
----------------------------------
    Hadoop Flags: Incompatible change,Reviewed  (was: Reviewed)

> Add configuration for MR job to finish when all reducers are complete (even with unfinished
mappers)
> ----------------------------------------------------------------------------------------------------
>
>                 Key: MAPREDUCE-6870
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-6870
>             Project: Hadoop Map/Reduce
>          Issue Type: Improvement
>    Affects Versions: 2.6.1
>            Reporter: Zhe Zhang
>            Assignee: Peter Bacsko
>             Fix For: 3.0.0-beta1
>
>         Attachments: MAPREDUCE-6870-001.patch, MAPREDUCE-6870-002.patch, MAPREDUCE-6870-003.patch,
MAPREDUCE-6870-004.patch, MAPREDUCE-6870-005.patch, MAPREDUCE-6870-006.patch, MAPREDUCE-6870-007.patch
>
>
> Even with MAPREDUCE-5817, there could still be cases where mappers get scheduled before
all reducers are complete, but those mappers run for long time, even after all reducers are
complete. This could hurt the performance of large MR jobs.
> In some cases, mappers don't have any materialize-able outcome other than providing intermediate
data to reducers. In that case, the job owner should have the config option to finish the
job once all reducers are complete.



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