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courses:mapreduce-tutorial:running-jobs [2012/02/05 21:24]
straka 		courses:mapreduce-tutorial:running-jobs [2013/02/08 14:33] (current)
popel Milan improved our Hadoop
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 ^ Run using //R// reducers \\ (//R//>1 not working when running locally)| ''-r R input output'' | ^ Run using //R// reducers \\ (//R//>1 not working when running locally)| ''-r R input output'' |
 ^ Run using //M// mappers | ''`/net/projects/hadoop/bin/compute-splitsize input M` input output'' | ^ Run using //M// mappers | ''`/net/projects/hadoop/bin/compute-splitsize input M` input output'' |
 +
 +From February 2012, using the parameter ''-w'' makes Hadoop to wait W seconds after the **last** task is finished. This means that you can start a cluster for one task (with ''-c N_machines -w W_seconds'') and reuse it (with ''-jt jobtracker:port'') for other tasks without worries that the other tasks will be killed before finishing.
  
 ===== Running multiple jobs ===== ===== Running multiple jobs =====

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