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http://issues.apache.org/jira/browse/HADOOP-331?page=comments#action_12443092 ] 
            
eric baldeschwieler commented on HADOOP-331:
--------------------------------------------

A related feature.  Compressing values individually as we serialize (before 
sort/spill) should be an option.  Even if we are using block compression on 
output.  Sounds inefficient, but if it reduces the number of spills 3x, this 
saves total disk passes and compression/decompression passes.  Also clearly 
good if we choose to just compress by values, not block in the sequence files, 
since we could then just pass the compressed values about.


> 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
>          Issue Type: Improvement
>          Components: mapred
>    Affects Versions: 0.3.2
>            Reporter: eric baldeschwieler
>         Assigned To: Devaraj Das
>
> 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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