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https://issues.apache.org/jira/browse/HIVE-562?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12768720#action_12768720
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Namit Jain commented on HIVE-562:
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That will also work - but we dont know the number of rows before hand for a
given key.
We can have some hueristics, based on which, a persistent storage can be used
> join does not work well if there is a very large skew in keys
> -------------------------------------------------------------
>
> Key: HIVE-562
> URL: https://issues.apache.org/jira/browse/HIVE-562
> Project: Hadoop Hive
> Issue Type: Improvement
> Components: Query Processor
> Affects Versions: 0.4.0
> Reporter: Namit Jain
>
> Only the last table is streamed in case of regular joins.
> So, for any other table, or for any small table (in case of map-joins), if
> the number of values for a given key are very large, it does not scale.
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