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From "Doug Cutting (JIRA)" <j...@apache.org>
Subject [jira] Created: (HADOOP-38) default splitter should incorporate fs block size
Date Tue, 14 Feb 2006 19:26:43 GMT
default splitter should incorporate fs block size
-------------------------------------------------

         Key: HADOOP-38
         URL: http://issues.apache.org/jira/browse/HADOOP-38
     Project: Hadoop
        Type: Improvement
  Components: mapred  
    Reporter: Doug Cutting


By default, the file splitting code should operate as follows.

  inputs are <file>*, numMapTasks, minSplitSize, fsBlockSize
  output is <file,start,length>*

  totalSize = sum of all file sizes;

  desiredSplitSize = totalSize / numMapTasks;
  if (desiredSplitSize > fsBlockSize)             /* new */
    desiredSplitSize = fsBlockSize;
  if (desiredSplitSize < minSplitSize)
    desiredSplitSize = minSplitSize;

  chop input files into desiredSplitSize chunks & return them

In other words, the numMapTasks is a desired minimum.  We'll try to chop input into at least
numMapTasks chunks, each ideally a single fs block.

If there's not enough input data to create numMapTasks tasks, each with an entire block, then
we'll permit tasks whose input is smaller than a filesystem block, down to a minimum split
size.

This handles cases where:
  - each input record takes a lot of time to process.  In this case we want to make sure we
use all of the cluster.  Thus it is important to permit splits smaller than the fs block size.
  - input i/o dominates.  In this case we want to permit the placement of tasks on hosts where
their data is local.  This is only possible if splits are fs block size or smaller.

Are there other common cases that this algorithm does not handle well?

The part marked 'new' above is not currently implemented, but I'd like to add it.

Does this sound reasonble?


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