hadoop-pig-dev mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Daniel Dai (JIRA)" <j...@apache.org>
Subject [jira] Commented: (PIG-200) Pig Performance Benchmarks
Date Sat, 13 Mar 2010 19:36:27 GMT

    [ https://issues.apache.org/jira/browse/PIG-200?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12844947#action_12844947
] 

Daniel Dai commented on PIG-200:
--------------------------------

Yes, as the name suggests, generate_data.sh will generate the input file for the queries.

> 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.

-- 
This message is automatically generated by JIRA.
-
You can reply to this email to add a comment to the issue online.


Mime
View raw message