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https://issues.apache.org/jira/browse/PIG-2167?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13856553#comment-13856553
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zhchbin commented on PIG-2167:
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Hi Prasanth,
I'm interesting in data cube and map reduce. So I am reading the source code of
CUBE operation and the associated paper.
In the paper <Distributed Cube Materialization on Holistic Measures>, it
mentions "batch areas", have you implement it here?
If "batch areas" has been implemented, could you please tell me where is it? I
can't find it. Thank you so much.
> CUBE operation in Pig
> ---------------------
>
> Key: PIG-2167
> URL: https://issues.apache.org/jira/browse/PIG-2167
> Project: Pig
> Issue Type: New Feature
> Reporter: Dmitriy V. Ryaboy
> Assignee: Prasanth J
> Labels: gsoc2012, mentor
> Attachments: PIG-2167.1.patch, PIG-2167.2.patch, PIG-2167.3.patch,
> PIG-2167.4.patch, Pig-Cubing-Performance.png
>
>
> Computing aggregates over a cube of several dimensions is a common operation
> in data warehousing.
> The standard SQL syntax is "GROUP relation BY dim1, dim2, dim3 WITH CUBE" --
> which in addition to all dim1-2-3, produces aggregations for just dim1, just
> dim1 and dim2, etc. NULL is generally used to represent "all".
> A presentation by Arnab Nandi describes how one might implement efficient
> cubing in Map-Reduce here: http://pdf.cx/44wrk
> We can start with the naive solution which only works for algebraic measures,
> and work up from there.
> This is a candidate project for Google summer of code 2012. More information
> about the program can be found at
> https://cwiki.apache.org/confluence/display/PIG/GSoc2012
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