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From "Thejas M Nair (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HIVE-7731) Spark: Incorrect result returned when a map work has multiple downstream reduce works
Date Thu, 14 Aug 2014 12:23:12 GMT

     [ https://issues.apache.org/jira/browse/HIVE-7731?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Thejas M Nair updated HIVE-7731:
--------------------------------

    Summary: Spark: Incorrect result returned when a map work has multiple downstream reduce
works  (was: Incorrect result returned when a map work has multiple downstream reduce works)

> Spark: Incorrect result returned when a map work has multiple downstream reduce works
> -------------------------------------------------------------------------------------
>
>                 Key: HIVE-7731
>                 URL: https://issues.apache.org/jira/browse/HIVE-7731
>             Project: Hive
>          Issue Type: Bug
>          Components: Spark
>            Reporter: Rui Li
>
> Encountered when running on spark. Suppose we have three tables:
> {noformat}
> table1(x int, y int);
> table2(x int);
> table3(x int);
> {noformat}
> I run the following query:
> {noformat}
> from table1
> insert overwrite table table2 select x group by x
> insert overwrite table table3 select y group by y;
> {noformat}
> The query generates 1 map and 2 reduces. The map operator has 2 RS, so I suppose it has
output for both reduces.
> The problem is all (incorrect) results go to table2 and table3 is empty.
> I tried the same query on MR and it gives correct results.



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