[jira] [Commented] (HIVE-11132) Queries using join and group by produce incorrect output when hive.auto.convert.join=false and hive.optimize.reducededuplication=true

["Satoshi Tagomori (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/HIVE-11132?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14744876#comment-14744876 ] 

Satoshi Tagomori commented on HIVE-11132:
-----------------------------------------

We seems to have problem with this issue now on Hive 0.13. Disabling {{hive.optimize.reducededuplication}} makes query result correct.

> Queries using join and group by produce incorrect output when hive.auto.convert.join=false and hive.optimize.reducededuplication=true
> -------------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: HIVE-11132
>                 URL: https://issues.apache.org/jira/browse/HIVE-11132
>             Project: Hive
>          Issue Type: Bug
>    Affects Versions: 0.14.0
>            Reporter: Rich Haase
>            Assignee: Rich Haase
>
> Queries using join and group by produce multiple output rows with the same key when hive.auto.convert.join=false and hive.optimize.reducededuplication=true.  This interaction between configuration parameters is unexpected and should be well documented at the very least and should likely be considered a bug.
> e.g. 
> hive> set hive.auto.convert.join = false;
> hive> set hive.optimize.reducededuplication = true;
> hive> SELECT foo.id, count(*) as factor
>     > FROM foo
>     > JOIN bar ON (foo.id = bar.id and foo.line_id = bar.line_id)
>     > JOIN split ON (foo.id = split.id and foo.line_id = split.line_id)
>     > JOIN forecast ON (foo.id = forecast.id AND foo.line_id = forecast.line_id)
>     > WHERE foo.order != ‘blah’ AND foo.id = ‘XYZ'
>     > GROUP BY foo.id;
> XYZ         79
> XYZ		74
> XYZ		297
> XYZ		66
> hive> set hive.auto.convert.join = true;
> hive> set hive.optimize.reducededuplication = true;
> hive> SELECT foo.id, count(*) as factor
>     > FROM foo
>     > JOIN bar ON (foo.id = bar.id and foo.line_id = bar.line_id)
>     > JOIN split ON (foo.id = split.id and foo.line_id = split.line_id)
>     > JOIN forecast ON (foo.id = forecast.id AND foo.line_id = forecast.line_id)
>     > WHERE foo.order != ‘blah’ AND foo.id = ‘XYZ'
>     > GROUP BY foo.id;
> XYZ         516



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