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courses:mapreduce-tutorial:step-31 [2012/02/06 08:50]
straka
courses:mapreduce-tutorial:step-31 [2012/02/06 08:55]
straka
Line 159: Line 159:
   # $EDITOR KMeans.java.java   # $EDITOR KMeans.java.java
   make -f /net/projects/hadoop/java/Makefile KMeans.java.java   make -f /net/projects/hadoop/java/Makefile KMeans.java.java
-You can run it using //C// machines on the following input data: +You can run it using specified number of machines on the following input data: 
-  * ''/net/projects/hadoop/examples/inputs/points-small'': <code>rm -rf step-31-out; /net/projects/hadoop/bin/hadoop KMeans.java.jar -Dclusters.num=50 -Dclusters.file=/net/projects/hadoop/examples/inputs/points-small/points.txt -c `/net/projects/hadoop/bin/compute-splitsize /net/projects/hadoop/examples/inputs/points-small C/net/projects/hadoop/examples/inputs/points-small step-31-out</code> +  * ''/net/projects/hadoop/examples/inputs/points-small'': 
-  * ''/net/projects/hadoop/examples/inputs/points-medium'': <code>rm -rf step-31-out; /net/projects/hadoop/bin/hadoop KMeans.java.jar -Dclusters.num=100 -Dclusters.file=/net/projects/hadoop/examples/inputs/points-medium/points.txt -c `/net/projects/hadoop/bin/compute-splitsize /net/projects/hadoop/examples/inputs/points-medium C/net/projects/hadoop/examples/inputs/points-medium step-31-out</code> +<code>M=machines; K=50; INPUT=/net/projects/hadoop/examples/inputs/points-small/points.txt 
-  * ''/net/projects/hadoop/examples/inputs/points-large'': <code>rm -rf step-31-out; /net/projects/hadoop/bin/hadoop KMeans.java.jar -Dclusters.num=200 -Dclusters.file=/net/projects/hadoop/examples/inputs/points-large/points.txt -c `/net/projects/hadoop/bin/compute-splitsize /net/projects/hadoop/examples/inputs/points-large C/net/projects/hadoop/examples/inputs/points-large step-31-out</code>+rm -rf step-31-out; /net/projects/hadoop/bin/hadoop KMeans.java.jar -Dclusters.num=$K -Dclusters.file=$INPUT [-jt jobtracker | -c $M] `/net/projects/hadoop/bin/compute-splitsize $INPUT $M$INPUT step-31-out</code> 
 +  * ''/net/projects/hadoop/examples/inputs/points-medium'': 
 +<code>M=machines; K=100; INPUT=/net/projects/hadoop/examples/inputs/points-medium/points.txt 
 +rm -rf step-31-out; /net/projects/hadoop/bin/hadoop KMeans.java.jar -Dclusters.num=$K -Dclusters.file=$INPUT [-jt jobtracker | -c $M] `/net/projects/hadoop/bin/compute-splitsize $INPUT $M$INPUT step-31-out</code> 
 +  * ''/net/projects/hadoop/examples/inputs/points-large'': 
 +<code>M=machines; K=200; INPUT=/net/projects/hadoop/examples/inputs/points-large/points.txt 
 +rm -rf step-31-out; /net/projects/hadoop/bin/hadoop KMeans.java.jar -Dclusters.num=$K -Dclusters.file=$INPUT [-jt jobtracker | -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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