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