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From "Namit Jain (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HIVE-3707) Round map/reduce progress down when it is in the range [99.5, 100)
Date Thu, 15 Nov 2012 08:00:16 GMT

     [ https://issues.apache.org/jira/browse/HIVE-3707?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Namit Jain updated HIVE-3707:
-----------------------------

       Resolution: Fixed
    Fix Version/s: 0.10.0
     Hadoop Flags: Reviewed
           Status: Resolved  (was: Patch Available)

Committed. Thanks Kevin
                
> Round map/reduce progress down when it is in the range [99.5, 100)
> ------------------------------------------------------------------
>
>                 Key: HIVE-3707
>                 URL: https://issues.apache.org/jira/browse/HIVE-3707
>             Project: Hive
>          Issue Type: Improvement
>          Components: Logging, Query Processor
>    Affects Versions: 0.10.0
>            Reporter: Kevin Wilfong
>            Assignee: Kevin Wilfong
>            Priority: Minor
>             Fix For: 0.10.0
>
>         Attachments: HIVE-3707.1.patch.txt
>
>
> In HadoopJobExecHelper the mapProgress and reduceProgress are the value of these counters
taken from the running job rounded to an integer percentage.  This means that e.g. if the
mappers are 99.5% done this is stored as 100%.
> One of the most common questions I see from new users is, the map and reduce both report
being 100% done, why is the query still running?
> By rounding down the value in this interval so it's only 100% when it's really 100% we
could avoid that confusion.
> Also, the way it appears the QueryPlan and MapRedTask determine if the map/reduce phases
are done is by checking if this value == 100.  I couldn't find anywhere where they're used
for anything significant, but they're reporting early completion.

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