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Posted to mapreduce-issues@hadoop.apache.org by "Ram Manohar Bheemana (JIRA)" <ji...@apache.org> on 2015/07/01 16:09:04 UTC
[jira] [Assigned] (MAPREDUCE-6423) MapOutput Sampler
[ 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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