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courses:mapreduce-tutorial:hadoop-job-overview [2012/02/05 19:35]
straka 		courses:mapreduce-tutorial:hadoop-job-overview [2012/02/05 19:36]
straka
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   * [optional] //a partitioner// -- partitioner is executed on every (key, value) pair produced by mapper, and outputs the number of the reducer which should process this pair.   * [optional] //a partitioner// -- partitioner is executed on every (key, value) pair produced by mapper, and outputs the number of the reducer which should process this pair.
  
-An AllReduce Hadoop job ([[.:step-16|Perl version]], [[.:step-31|Java version]] consists of a mapper only. All the mappers must be executed simultaneously and can communicate using a ''allReduce'' function.+An AllReduce Hadoop job ([[.:step-16|Perl version]], [[.:step-31|Java version]]) consists of a mapper only. All the mappers must be executed simultaneously and can communicate using a ''allReduce'' function.
  
 Any Hadoop job can run: Any Hadoop job can run:

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