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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 |
# $EDITOR KMeans.java.java | # $EDITOR KMeans.java.java |
make -f /net/projects/hadoop/java/Makefile KMeans.java.java | make -f /net/projects/hadoop/java/Makefile KMeans.java.java |
You can run it using //C// machines on the following input data: | You can run it using specified number of machines on the following input data: |
* ''/net/projects/hadoop/examples/inputs/points-small'': <code>rm -rf step-31-out; /net/projects/hadoop/bin/hadoop KMeans.java.jar -Dclusters.num=50 -Dclusters.file=/net/projects/hadoop/examples/inputs/points-small/points.txt -c C `/net/projects/hadoop/bin/compute-splitsize /net/projects/hadoop/examples/inputs/points-small C` /net/projects/hadoop/examples/inputs/points-small step-31-out</code> | * ''/net/projects/hadoop/examples/inputs/points-small'': |
* ''/net/projects/hadoop/examples/inputs/points-medium'': <code>rm -rf step-31-out; /net/projects/hadoop/bin/hadoop KMeans.java.jar -Dclusters.num=100 -Dclusters.file=/net/projects/hadoop/examples/inputs/points-medium/points.txt -c C `/net/projects/hadoop/bin/compute-splitsize /net/projects/hadoop/examples/inputs/points-medium C` /net/projects/hadoop/examples/inputs/points-medium step-31-out</code> | <code>M=machines; K=50; INPUT=/net/projects/hadoop/examples/inputs/points-small/points.txt |
* ''/net/projects/hadoop/examples/inputs/points-large'': <code>rm -rf step-31-out; /net/projects/hadoop/bin/hadoop KMeans.java.jar -Dclusters.num=200 -Dclusters.file=/net/projects/hadoop/examples/inputs/points-large/points.txt -c C `/net/projects/hadoop/bin/compute-splitsize /net/projects/hadoop/examples/inputs/points-large C` /net/projects/hadoop/examples/inputs/points-large step-31-out</code> | rm -rf step-31-out; /net/projects/hadoop/bin/hadoop KMeans.java.jar -Dclusters.num=$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> |
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Solution: {{:courses:mapreduce-tutorial:step-31-solution3.txt|KMeans.java}}. | Solution: {{:courses:mapreduce-tutorial:step-31-solution3.txt|KMeans.java}}. |
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