[jira] [Resolved] (MAHOUT-704) Refactor PredictionJob to use MultipleInputs for reduce side joins

["Sebastian Schelter (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MAHOUT-704?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sebastian Schelter resolved MAHOUT-704.
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    Resolution: Won't Fix

MultipleInputs is not part of the new API in Hadoop 0.20 and we won't upgrade in the near future...

> Refactor PredictionJob to use MultipleInputs for reduce side joins
> ------------------------------------------------------------------
>
>                 Key: MAHOUT-704
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-704
>             Project: Mahout
>          Issue Type: Improvement
>          Components: Collaborative Filtering
>    Affects Versions: 0.5, 0.6
>            Reporter: Sebastian Schelter
>            Assignee: Sebastian Schelter
>              Labels: collaborative-filtering, hadoop, mapreduce
>             Fix For: 1.0
>
>
> The code in org.apache.mahout.cf.taste.hadoop.als.PredictionJob should be refactored to use org.apache.hadoop.mapreduce.lib.input.MultipleInputs for the reduce-side joins. This should spare us some M/R cycles and greatly simplify the code.
> We'd need to add another prepareJob() method to AbstractJob in order to make this work.
> This is a rather cosmetic feature request that can wait till after the 0.5 release.

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