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https://issues.apache.org/jira/browse/HIVE-7731?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14097321#comment-14097321
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Thejas M Nair commented on HIVE-7731:
-------------------------------------
bq. We've been placing "[Spark Branch]" in commit messages and I'll be more
diligent about ensuring tasks are sub-tasks of HIVE-7292 and that we have
"[Spark Branch]" in the title.
Thanks Brock! That will really help avoid confusion in the auto-generated
release notes.
> Incorrect result returned when a map work has multiple downstream reduce
> works [Spark Branch]
> ---------------------------------------------------------------------------------------------
>
> Key: HIVE-7731
> URL: https://issues.apache.org/jira/browse/HIVE-7731
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
> Reporter: Rui Li
> Assignee: Chao
>
> 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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