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From "duncan (JIRA)" <j...@apache.org>
Subject [jira] Commented: (PIG-200) Pig Performance Benchmarks
Date Mon, 15 Mar 2010 03:47:27 GMT

    [ https://issues.apache.org/jira/browse/PIG-200?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12845174#action_12845174
] 

duncan commented on PIG-200:
----------------------------

Hi Daniel,

How can I run the perf.patch? I saw a lot of different things in the perf.patch.
I want to generate data set and use those 14 pig queries for benchmarking.

Would you mind telling me more on how to use the perf.patch?

Thanks

Duncan

> Pig Performance Benchmarks
> --------------------------
>
>                 Key: PIG-200
>                 URL: https://issues.apache.org/jira/browse/PIG-200
>             Project: Pig
>          Issue Type: Task
>            Reporter: Amir Youssefi
>            Assignee: Alan Gates
>         Attachments: generate_data.pl, perf.hadoop.patch, perf.patch
>
>
> 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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