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courses:mapreduce-tutorial:step-31 [2012/02/06 13:24]
straka
courses:mapreduce-tutorial:step-31 [2012/02/06 14:52] (current)
dusek
Line 35: Line 35:
  
 ===== Example ===== ===== Example =====
-This example reads the keys of ''/net/projects/hadoop/examples/inputs/numbers-small'', computes the sum of all the keys and print it:+This example reads the keys of ''/net/projects/hadoop/examples/inputs/numbers-small'', computes the sum of all the keys and prints it:
 <code java Sum.java> <code java Sum.java>
 import java.io.IOException; import java.io.IOException;
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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; K=50; INPUT=/net/projects/hadoop/examples/inputs/points-small/points.txt +<code>M=#of_machines; K=50; INPUT=/net/projects/hadoop/examples/inputs/points-small/points.txt 
-rm -rf step-31-out; /net/projects/hadoop/bin/hadoop KMeans.jar -Dclusters.num=$K -Dclusters.file=$INPUT [-jt jobtracker | -c $M`/net/projects/hadoop/bin/compute-splitsize $INPUT $M` $INPUT step-31-out</code>+rm -rf step-31-out; /net/projects/hadoop/bin/hadoop KMeans.jar -Dclusters.num=$K -Dclusters.file=$INPUT -c $M `/net/projects/hadoop/bin/compute-splitsize $INPUT $M` $INPUT step-31-out</code>
   * ''/net/projects/hadoop/examples/inputs/points-medium'':   * ''/net/projects/hadoop/examples/inputs/points-medium'':
-<code>M=machines; K=100; INPUT=/net/projects/hadoop/examples/inputs/points-medium/points.txt +<code>M=#of_machines; K=100; INPUT=/net/projects/hadoop/examples/inputs/points-medium/points.txt 
-rm -rf step-31-out; /net/projects/hadoop/bin/hadoop KMeans.jar -Dclusters.num=$K -Dclusters.file=$INPUT [-jt jobtracker | -c $M`/net/projects/hadoop/bin/compute-splitsize $INPUT $M` $INPUT step-31-out</code>+rm -rf step-31-out; /net/projects/hadoop/bin/hadoop KMeans.jar -Dclusters.num=$K -Dclusters.file=$INPUT -c $M `/net/projects/hadoop/bin/compute-splitsize $INPUT $M` $INPUT step-31-out</code>
   * ''/net/projects/hadoop/examples/inputs/points-large'':   * ''/net/projects/hadoop/examples/inputs/points-large'':
-<code>M=machines; K=200; INPUT=/net/projects/hadoop/examples/inputs/points-large/points.txt +<code>M=#of_machines; K=200; INPUT=/net/projects/hadoop/examples/inputs/points-large/points.txt 
-rm -rf step-31-out; /net/projects/hadoop/bin/hadoop KMeans.jar -Dclusters.num=$K -Dclusters.file=$INPUT [-jt jobtracker | -c $M`/net/projects/hadoop/bin/compute-splitsize $INPUT $M` $INPUT step-31-out</code>+rm -rf step-31-out; /net/projects/hadoop/bin/hadoop KMeans.jar -Dclusters.num=$K -Dclusters.file=$INPUT -c $M `/net/projects/hadoop/bin/compute-splitsize $INPUT $M` $INPUT step-31-out</code>
  
 Solution: {{:courses:mapreduce-tutorial:step-31-solution3.txt|KMeans.java}}. Solution: {{:courses:mapreduce-tutorial:step-31-solution3.txt|KMeans.java}}.
  

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