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courses:mapreduce-tutorial:step-16 [2012/02/06 13:28]
straka 		courses:mapreduce-tutorial:step-16 [2012/02/06 13:29]
straka
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   # NOW VIEW THE FILE   # NOW VIEW THE FILE
   # $EDITOR median.pl   # $EDITOR median.pl
-  rm -rf step-16-out; perl median.pl -c C `/net/projects/hadoop/bin/compute-splitsize /net/projects/hadoop/examples/inputs/numbers-small C` /net/projects/hadoop/examples/inputs/numbers-small step-16-out+  rm -rf step-16-out; M=#of_machines; INPUT=/net/projects/hadoop/examples/inputs/numbers-small; perl median.pl -c $M `/net/projects/hadoop/bin/compute-splitsize $INPUT $M` $INPUT step-16-out
   less step-16-out/part-*   less step-16-out/part-*
  
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 You can run it using specified number of machines on the following input data: You can run it using specified number of machines on the following input data:
   * ''/net/projects/hadoop/examples/inputs/points-small'':   * ''/net/projects/hadoop/examples/inputs/points-small'':
-<code>M=machines; export CLUSTERS_NUM=50 CLUSTERS_FILE=/net/projects/hadoop/examples/inputs/points-small/points.txt +<code>M=#of_machines; export CLUSTERS_NUM=50 CLUSTERS_FILE=/net/projects/hadoop/examples/inputs/points-small/points.txt 
-rm -rf step-16-out; perl kmeans.pl [-jt jobtracker | -c $M] `/net/projects/hadoop/bin/compute-splitsize $CLUSTERS_FILE $M` $CLUSTERS_FILE step-16-out</code>+rm -rf step-16-out; perl kmeans.pl -c $M `/net/projects/hadoop/bin/compute-splitsize $CLUSTERS_FILE $M` $CLUSTERS_FILE step-16-out</code>
   * ''/net/projects/hadoop/examples/inputs/points-medium'':   * ''/net/projects/hadoop/examples/inputs/points-medium'':
-<code>M=machines; export CLUSTERS_NUM=100 CLUSTERS_FILE=/net/projects/hadoop/examples/inputs/points-medium/points.txt +<code>M=#of_machines; export CLUSTERS_NUM=100 CLUSTERS_FILE=/net/projects/hadoop/examples/inputs/points-medium/points.txt 
-rm -rf step-16-out; perl kmeans.pl [-jt jobtracker | -c $M] `/net/projects/hadoop/bin/compute-splitsize $CLUSTERS_FILE $M` $CLUSTERS_FILE step-16-out</code>+rm -rf step-16-out; perl kmeans.pl -c $M `/net/projects/hadoop/bin/compute-splitsize $CLUSTERS_FILE $M` $CLUSTERS_FILE step-16-out</code>
   * ''/net/projects/hadoop/examples/inputs/points-large'':   * ''/net/projects/hadoop/examples/inputs/points-large'':
-<code>M=machines; export CLUSTERS_NUM=200 CLUSTERS_FILE=/net/projects/hadoop/examples/inputs/points-large/points.txt +<code>M=#of_machines; export CLUSTERS_NUM=200 CLUSTERS_FILE=/net/projects/hadoop/examples/inputs/points-large/points.txt 
-rm -rf step-16-out; perl kmeans.pl [-jt jobtracker | -c $M] `/net/projects/hadoop/bin/compute-splitsize $CLUSTERS_FILE $M` $CLUSTERS_FILE step-16-out</code>+rm -rf step-16-out; perl kmeans.pl -c $M `/net/projects/hadoop/bin/compute-splitsize $CLUSTERS_FILE $M` $CLUSTERS_FILE step-16-out</code>
  
 Solution: {{:courses:mapreduce-tutorial:step-16-solution3.txt|kmeans.pl}}, much faster solution with distance computations written in C: {{:courses:mapreduce-tutorial:step-16-solution3_c.txt|kmeans_C.pl}}. Solution: {{:courses:mapreduce-tutorial:step-16-solution3.txt|kmeans.pl}}, much faster solution with distance computations written in C: {{:courses:mapreduce-tutorial:step-16-solution3_c.txt|kmeans_C.pl}}.
  

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