[ https://issues.apache.org/jira/browse/MAPREDUCE-64?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Chris Douglas updated MAPREDUCE-64:
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Status: Patch Available (was: Open)
> Map-side sort is hampered by io.sort.record.percent
> ---------------------------------------------------
>
> Key: MAPREDUCE-64
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-64
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Reporter: Arun C Murthy
> Assignee: Chris Douglas
> Attachments: M64-0.patch, M64-1.patch, M64-2.patch, M64-3.patch
>
>
> Currently io.sort.record.percent is a fairly obscure, per-job configurable, expert-level
parameter which controls how much accounting space is available for records in the map-side
sort buffer (io.sort.mb). Typically values for io.sort.mb (100) and io.sort.record.percent
(0.05) imply that we can store ~350,000 records in the buffer before necessitating a sort/combine/spill.
> However for many applications which deal with small records e.g. the world-famous wordcount
and it's family this implies we can only use 5-10% of io.sort.mb i.e. (5-10M) before we spill
inspite of having _much_ more memory available in the sort-buffer. The word-count for e.g.
results in ~12 spills (given hdfs block size of 64M). The presence of a combiner exacerbates
the problem by piling serialization/deserialization of records too...
> Sure, jobs can configure io.sort.record.percent, but it's tedious and obscure; we really
can do better by getting the framework to automagically pick it by using all available memory
(upto io.sort.mb) for either the data or accounting.
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