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From "Zheng Shao (JIRA)" <j...@apache.org>
Subject [jira] Updated: (HIVE-404) Problems in "SELECT * FROM t SORT BY col1 LIMIT 100"
Date Sat, 18 Apr 2009 01:27:15 GMT

     [ https://issues.apache.org/jira/browse/HIVE-404?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Zheng Shao updated HIVE-404:
----------------------------

       Resolution: Fixed
    Fix Version/s: 0.4.0
     Release Note: HIVE-404. Fix ordering in "SELECT * FROM t SORT BY col1 LIMIT 100" when
query is not a outer-most query.  (Namit Jain via zshao)
     Hadoop Flags: [Reviewed]
           Status: Resolved  (was: Patch Available)

Trunk only: Committed revision 766196. Thanks Namit.

> Problems in "SELECT * FROM t SORT BY col1 LIMIT 100"
> ----------------------------------------------------
>
>                 Key: HIVE-404
>                 URL: https://issues.apache.org/jira/browse/HIVE-404
>             Project: Hadoop Hive
>          Issue Type: Bug
>          Components: Query Processor
>    Affects Versions: 0.3.0, 0.4.0
>            Reporter: Zheng Shao
>            Assignee: Namit Jain
>             Fix For: 0.4.0
>
>         Attachments: hive.404.1.patch, hive.404.2.patch
>
>
> Unless the user specify "set mapred.reduce.tasks=1;", he will see unexpected results
with the query of  "SELECT * FROM t SORT BY col1 LIMIT 100"
> Basically, in the first map-reduce job, each reducer will get sorted data and only keep
the first 100. In the second map-reduce job, we will distribute and sort the data randomly,
before feeding into a single reducer that outputs the first 100.
> In short, the query will output 100 random records in N * 100 top records from each of
the reducer in the first map-reduce job.
> This is contradicting to what people expects.
> We should propagate the SORT BY columns to the second map-reduce job.

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