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https://issues.apache.org/jira/browse/HIVE-223?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Zheng Shao updated HIVE-223:
----------------------------
Resolution: Fixed
Fix Version/s: 0.3.0
Release Note:
HIVE-223. Single map-reduce group-by using map-side aggregation. (Namit Jain
via zshao)
Hadoop Flags: [Reviewed]
Status: Resolved (was: Patch Available)
Committed revision 751166. Thanks Namit!
> when using map-side aggregates - perform single map-reduce group-by
> -------------------------------------------------------------------
>
> Key: HIVE-223
> URL: https://issues.apache.org/jira/browse/HIVE-223
> Project: Hadoop Hive
> Issue Type: Improvement
> Components: Query Processor
> Reporter: Joydeep Sen Sarma
> Assignee: Namit Jain
> Fix For: 0.3.0
>
> Attachments: 223.2.txt, 223.3.txt, 223.patch1.txt, hive.223.4.patch,
> patch.txt
>
>
> today even when we do map side aggregates - we do multiple map-reduce jobs.
> however - the reason for doing multiple map-reduce group-bys (for single
> group-bys) was the fear of skews. When we are doing map side aggregates -
> skews should not exist for the most part. There can be two reason for skews:
> - large number of entries for a single grouping set - map side aggregates
> should take care of this
> - badness in hash function that sends too much stuff to one reducer - we
> should be able to take care of this by having good hash functions (and prime
> number reducer counts)
> So i think we should be able to do a single stage map-reduce when doing
> map-side aggregates.
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