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Posted to dev@hive.apache.org by "Ning Zhang (JIRA)" <ji...@apache.org> on 2009/11/04 08:19:32 UTC

[jira] Updated: (HIVE-870) semi joins

     [ https://issues.apache.org/jira/browse/HIVE-870?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Ning Zhang updated HIVE-870:
----------------------------

    Attachment: Hive-870.patch

Uploading Hive-870.patch. This patch includes the following changes:

1) enhance the HiveQL syntax to support left semi join.
2) introduce a new left semi join type in the CommonJoinOperator. This join operator implements early-exit whenever a match is found in the right-hand-side table of the left semi join.
3) At the map side, add a select operator to project the join keys only of the RHS table, followed by a map-side partial group-by operator that eliminate duplicate keys. We only need the key, the value is NULL. 
4) if the RHS is used as map-side join, only the selection operator is introduced. The map-side groupby operator is not necessary.
5) some misc clean ups (e.g., allowing '--' comments appear in any place in the unit test qfiles). A lot of unit test diffs are due to this change. All the unit tests for semi join are in semijoin.q.

> semi joins
> ----------
>
>                 Key: HIVE-870
>                 URL: https://issues.apache.org/jira/browse/HIVE-870
>             Project: Hadoop Hive
>          Issue Type: New Feature
>            Reporter: Ning Zhang
>            Assignee: Ning Zhang
>         Attachments: Hive-870.patch
>
>
> Semi-join is an efficient way to unnest an IN/EXISTS subquery. For example,
> select * 
> from A
> where A.id IN 
>    (select id
>     from B
>     where B.date> '2009-10-01');
> returns from A whose ID is in the set of IDs found in B, whose date is greater than a certain date. This query can be unnested using a INNER join or LEFT OUTER JOIN, but we need to deduplicate the IDs returned by the subquery on table B. The semantics of LEFT SEMI JOIN is that as long as there is ANY row in the right-hand table that matches the join key, the left-hand table row will be emitted as a result w/o necessarily looking further in the right-hand table for further matches. This is exactly the semantics of the IN subquery. 

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