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From "Alan Gates (JIRA)" <j...@apache.org>
Subject [jira] Commented: (PIG-200) Pig Performance Benchmarks
Date Thu, 10 Apr 2008 14:50:04 GMT

    [ https://issues.apache.org/jira/browse/PIG-200?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12587661#action_12587661
] 

Alan Gates commented on PIG-200:
--------------------------------

Amir,

I have a perl script that I use to generate data for pig testing.  It can generate different
types of data and different sizes.  For a given type and size, it always produces the same
set.  However, for data of the same type and different sizes, the smaller is not a subset
of the larger.  This allows it to produce good data for testing joins.  If you're interested
in using this for your benchmarking, let me know.

> Pig Performance Benchmarks
> --------------------------
>
>                 Key: PIG-200
>                 URL: https://issues.apache.org/jira/browse/PIG-200
>             Project: Pig
>          Issue Type: Task
>            Reporter: Amir Youssefi
>            Assignee: Amir Youssefi
>
> To benchmark Pig performance, we need to have a TPC-H like Large Data Set plus Script
Collection. This is used in comparison of different Pig releases, Pig vs. other systems (e.g.
Pig + Hadoop vs. Hadoop Only).
> Here is Wiki for small tests: http://wiki.apache.org/pig/PigPerformance
> I am currently running long-running Pig scripts over data-sets in the order of tens of
TBs. Next step is hundreds of TBs.
> We need to have an open large-data set (open source scripts which generate data-set)
and detailed scripts for important operations such as ORDER, AGGREGATION etc.
> We can call those the Pig Workouts: Cardio (short processing), Marathon (long running
scripts) and Triathlon (Mix). 
> I will update this JIRA with more details of current activities soon.

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