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From "paul sutter (JIRA)" <j...@apache.org>
Subject [jira] Commented: (HADOOP-331) map outputs should be written to a single output file with an index
Date Wed, 28 Jun 2006 21:07:31 GMT
    [ http://issues.apache.org/jira/browse/HADOOP-331?page=comments#action_12418316 ] 

paul sutter commented on HADOOP-331:
------------------------------------


Sounds like a great direction! Could you clarify a little bit? 

Would you have one map output file per mapper? Or one map output file per mapping-node (wherein
the many mappers that run on an individual node will coalesce their outputs into a single
file)?

How many ranges will each reducer have to read back from the file? one? one per 100 megabytes
of map output? one per combiner flush?

What's a spill?

How does this fit with the compression proposal? Will there be a separate compression context
per reducer?

> map outputs should be written to a single output file with an index
> -------------------------------------------------------------------
>
>          Key: HADOOP-331
>          URL: http://issues.apache.org/jira/browse/HADOOP-331
>      Project: Hadoop
>         Type: Improvement

>   Components: mapred
>     Versions: 0.3.2
>     Reporter: eric baldeschwieler
>     Assignee: Yoram Arnon
>      Fix For: 0.5.0

>
> The current strategy of writing a file per target map is consuming a lot of unused buffer
space (causing out of memory crashes) and puts a lot of burden on the FS (many opens, inodes
used, etc).  
> I propose that we write a single file containing all output and also write an index file
IDing which byte range in the file goes to each reduce.  This will remove the issue of buffer
waste, address scaling issues with number of open files and generally set us up better for
scaling.  It will also have advantages with very small inputs, since the buffer cache will
reduce the number of seeks needed and the data serving node can open a single file and just
keep it open rather than needing to do directory and open ops on every request.
> The only issue I see is that in cases where the task output is substantiallyu larger
than its input, we may need to spill multiple times.  In this case, we can do a merge after
all spills are complete (or during the final spill).

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