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Posted to mapreduce-issues@hadoop.apache.org by "Todd Lipcon (JIRA)" <ji...@apache.org> on 2011/08/18 03:31:33 UTC

[jira] [Created] (MAPREDUCE-2853) Add "teraread" example

Add "teraread" example
----------------------

                 Key: MAPREDUCE-2853
                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-2853
             Project: Hadoop Map/Reduce
          Issue Type: New Feature
          Components: benchmarks, examples
    Affects Versions: 0.23.0
            Reporter: Todd Lipcon
            Assignee: Todd Lipcon
             Fix For: 0.23.0


Teragen is a good benchmark of raw DFS write throughput. Terasort is a good benchmark of the whole MR system (input, shuffle, output). I've added a simple "teraread" example which reads through the terasort input data without performing any processing: this acts as a good benchmark of a read-only workload (similar to real-life "find a needle in a haystack" MR jobs)

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[jira] [Commented] (MAPREDUCE-2853) Add "teraread" example

Posted by "Aaron T. Myers (JIRA)" <ji...@apache.org>.
    [ https://issues.apache.org/jira/browse/MAPREDUCE-2853?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13086735#comment-13086735 ] 

Aaron T. Myers commented on MAPREDUCE-2853:
-------------------------------------------

Patch looks pretty good, Todd. The only thing I notice is that it looks like there are a few unused imports in the file. +1 pending removal of those.

> Add "teraread" example
> ----------------------
>
>                 Key: MAPREDUCE-2853
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-2853
>             Project: Hadoop Map/Reduce
>          Issue Type: New Feature
>          Components: benchmarks, examples
>    Affects Versions: 0.23.0
>            Reporter: Todd Lipcon
>            Assignee: Todd Lipcon
>             Fix For: 0.23.0
>
>         Attachments: mapreduce-2853.txt
>
>
> Teragen is a good benchmark of raw DFS write throughput. Terasort is a good benchmark of the whole MR system (input, shuffle, output). I've added a simple "teraread" example which reads through the terasort input data without performing any processing: this acts as a good benchmark of a read-only workload (similar to real-life "find a needle in a haystack" MR jobs)

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[jira] [Updated] (MAPREDUCE-2853) Add "teraread" example

Posted by "Todd Lipcon (JIRA)" <ji...@apache.org>.
     [ https://issues.apache.org/jira/browse/MAPREDUCE-2853?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Todd Lipcon updated MAPREDUCE-2853:
-----------------------------------

    Attachment: mapreduce-2853.txt

> Add "teraread" example
> ----------------------
>
>                 Key: MAPREDUCE-2853
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-2853
>             Project: Hadoop Map/Reduce
>          Issue Type: New Feature
>          Components: benchmarks, examples
>    Affects Versions: 0.23.0
>            Reporter: Todd Lipcon
>            Assignee: Todd Lipcon
>             Fix For: 0.23.0
>
>         Attachments: mapreduce-2853.txt
>
>
> Teragen is a good benchmark of raw DFS write throughput. Terasort is a good benchmark of the whole MR system (input, shuffle, output). I've added a simple "teraread" example which reads through the terasort input data without performing any processing: this acts as a good benchmark of a read-only workload (similar to real-life "find a needle in a haystack" MR jobs)

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