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Both sides previous revision Previous revision 2012/02/06 14:52 dusek 2012/02/06 13:26 straka 2012/02/06 13:25 straka 2012/02/06 13:24 straka 2012/02/06 13:24 straka 2012/02/06 13:24 straka 2012/02/06 13:23 straka 2012/02/06 13:11 straka 2012/02/06 13:10 straka 2012/02/06 13:10 straka 2012/02/06 13:10 straka 2012/02/06 13:10 straka 2012/02/06 09:22 straka 2012/02/06 09:01 straka 2012/02/06 08:55 straka 2012/02/06 08:50 straka 2012/02/06 08:41 straka 2012/02/06 08:40 straka 2012/02/06 08:28 straka 2012/02/06 08:26 straka 2012/02/06 08:21 straka 2012/02/06 08:21 straka 2012/02/06 08:20 straka 2012/02/06 08:20 straka 2012/02/06 08:18 straka 2012/02/06 08:13 straka 2012/02/06 08:10 straka 2012/02/06 08:09 straka 2012/02/06 08:03 straka Go Next revision		Previous revision 2012/02/06 14:52 dusek 2012/02/06 13:26 straka 2012/02/06 13:25 straka 2012/02/06 13:24 straka 2012/02/06 13:24 straka 2012/02/06 13:24 straka 2012/02/06 13:23 straka 2012/02/06 13:11 straka 2012/02/06 13:10 straka 2012/02/06 13:10 straka 2012/02/06 13:10 straka 2012/02/06 13:10 straka 2012/02/06 09:22 straka 2012/02/06 09:01 straka 2012/02/06 08:55 straka 2012/02/06 08:50 straka 2012/02/06 08:41 straka 2012/02/06 08:40 straka 2012/02/06 08:28 straka 2012/02/06 08:26 straka 2012/02/06 08:21 straka 2012/02/06 08:21 straka 2012/02/06 08:20 straka 2012/02/06 08:20 straka 2012/02/06 08:18 straka 2012/02/06 08:13 straka 2012/02/06 08:10 straka 2012/02/06 08:09 straka 2012/02/06 08:03 straka 2012/02/06 08:03 straka 2012/02/06 08:02 straka 2012/02/06 07:59 straka vytvořeno Go Last revision Both sides next revision
courses:mapreduce-tutorial:step-31 [2012/02/06 13:24] straka		courses:mapreduce-tutorial:step-31 [2012/02/06 13:26] straka
Line 166:		Line 166:
	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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