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https://issues.apache.org/jira/browse/HIVE-3286?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13419040#comment-13419040
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Navis commented on HIVE-3286:
-----------------------------
The idea of this issue was conceived couple of months ago and I've seen the
document later. I love the systemic approach in it.
I've considered using that but decided to implement this cause this seemed to
allow more freedom in schema(without list bucketing).
If this is not appropriate for hive, I can keep this only for internal use.
> Explicit skew join on user provided condition
> ---------------------------------------------
>
> Key: HIVE-3286
> URL: https://issues.apache.org/jira/browse/HIVE-3286
> Project: Hive
> Issue Type: Improvement
> Components: Query Processor
> Affects Versions: 0.10.0
> Reporter: Navis
> Assignee: Navis
> Priority: Minor
>
> Join operation on table with skewed data takes most of execution time
> handling the skewed keys. But mostly we already know about that and even know
> what is look like the skewed keys.
> If we can explicitly assign reducer slots for the skewed keys, total
> execution time could be greatly shortened.
> As for a start, I've extended join grammar something like this.
> {code}
> select * from src a join src b on a.key=b.key skew on (a.key+1 < 50, a.key+1
> < 100, a.key < 150);
> {code}
> which means if above query is executed by 20 reducers, one reducer for
> a.key+1 < 50, one reducer for 50 <= a.key+1 < 100, one reducer for 99 <=
> a.key < 150, and 17 reducers for others (could be extended to assign more
> than one reducer later)
> This can be only used with common-inner-equi joins. And skew condition should
> be composed of join keys only.
> Work till done now will be updated shortly after code cleanup.
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