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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 |
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| ===== 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; |
| 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> |
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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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