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https://issues.apache.org/jira/browse/HIVE-562?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12784590#action_12784590
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Namit Jain commented on HIVE-562:
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Had a discussion with Zheng, Paul, Raghu and Yongqiang on this. This is roughly
the plan:
1. https://issues.apache.org/jira/browse/HIVE-963
2. https://issues.apache.org/jira/browse/HIVE-964
3. https://issues.apache.org/jira/browse/HIVE-965
> 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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