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From "Ram Manohar Bheemana (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (MAPREDUCE-6423) MapOutput Sampler
Date Wed, 01 Jul 2015 14:09:04 GMT

     [ https://issues.apache.org/jira/browse/MAPREDUCE-6423?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel

Ram Manohar Bheemana reassigned MAPREDUCE-6423:

    Assignee: Ram Manohar Bheemana

> MapOutput Sampler
> -----------------
>                 Key: MAPREDUCE-6423
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-6423
>             Project: Hadoop Map/Reduce
>          Issue Type: Improvement
>            Reporter: Ram Manohar Bheemana
>            Assignee: Ram Manohar Bheemana
>            Priority: Minor
> Need a sampler based on the MapOutput Keys. Current InputSampler implementation has a
major drawback which is input and output of a mapper should be same, generally this isn't
the case.
> approach:
> 1. Create a Sampler which samples the data based on the input.
> 2. Run a small map reduce in uber task mode using the original job mapper and identity
reducer to generate required MapOutputSample keys
> 3. Optionally, we can input the input file to be sample. For example inputs files A,
B; we should be able to specify to use only file A for sampling.

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