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Both sides previous revision Previous revision 2012/02/06 13:29 straka 2012/02/06 13:29 straka 2012/02/06 13:28 straka 2012/02/06 13:27 straka 2012/02/06 09:26 straka 2012/02/06 09:26 straka 2012/02/06 09:25 straka 2012/02/06 09:24 straka 2012/02/06 09:21 straka 2012/02/06 09:17 straka 2012/02/06 09:12 straka 2012/02/06 09:06 straka 2012/02/06 09:05 straka 2012/02/06 09:01 straka 2012/02/06 08:56 straka vytvořeno Go Next revision		Previous revision 2012/02/06 13:29 straka 2012/02/06 13:29 straka 2012/02/06 13:28 straka 2012/02/06 13:27 straka 2012/02/06 09:26 straka 2012/02/06 09:26 straka 2012/02/06 09:25 straka 2012/02/06 09:24 straka 2012/02/06 09:21 straka 2012/02/06 09:17 straka 2012/02/06 09:12 straka 2012/02/06 09:06 straka 2012/02/06 09:05 straka 2012/02/06 09:01 straka 2012/02/06 08:56 straka vytvořeno Go
courses:mapreduce-tutorial:step-16 [2012/02/06 13:29] straka		courses:mapreduce-tutorial:step-16 [2012/02/06 13:29] (current) straka
Line 126:		Line 126:
	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; export CLUSTERS_NUM=50 CLUSTERS_FILE=/net/projects/hadoop/examples/inputs/points-small/points.txt	+	<code>M=#of_machines; export CLUSTERS_NUM=50 CLUSTERS_FILE=/net/projects/hadoop/examples/inputs/points-small/points.txt
-	rm -rf step-16-out; perl kmeans.pl [-jt jobtracker | -c $M] `/net/projects/hadoop/bin/compute-splitsize $CLUSTERS_FILE $M` $CLUSTERS_FILE step-16-out</code>	+	rm -rf step-16-out; perl kmeans.pl -c $M `/net/projects/hadoop/bin/compute-splitsize $CLUSTERS_FILE $M` $CLUSTERS_FILE step-16-out</code>
	* ''/net/projects/hadoop/examples/inputs/points-medium'':		* ''/net/projects/hadoop/examples/inputs/points-medium'':
-	<code>M=machines; export CLUSTERS_NUM=100 CLUSTERS_FILE=/net/projects/hadoop/examples/inputs/points-medium/points.txt	+	<code>M=#of_machines; export CLUSTERS_NUM=100 CLUSTERS_FILE=/net/projects/hadoop/examples/inputs/points-medium/points.txt
-	rm -rf step-16-out; perl kmeans.pl [-jt jobtracker | -c $M] `/net/projects/hadoop/bin/compute-splitsize $CLUSTERS_FILE $M` $CLUSTERS_FILE step-16-out</code>	+	rm -rf step-16-out; perl kmeans.pl -c $M `/net/projects/hadoop/bin/compute-splitsize $CLUSTERS_FILE $M` $CLUSTERS_FILE step-16-out</code>
	* ''/net/projects/hadoop/examples/inputs/points-large'':		* ''/net/projects/hadoop/examples/inputs/points-large'':
-	<code>M=machines; export CLUSTERS_NUM=200 CLUSTERS_FILE=/net/projects/hadoop/examples/inputs/points-large/points.txt	+	<code>M=#of_machines; export CLUSTERS_NUM=200 CLUSTERS_FILE=/net/projects/hadoop/examples/inputs/points-large/points.txt
-	rm -rf step-16-out; perl kmeans.pl [-jt jobtracker | -c $M] `/net/projects/hadoop/bin/compute-splitsize $CLUSTERS_FILE $M` $CLUSTERS_FILE step-16-out</code>	+	rm -rf step-16-out; perl kmeans.pl -c $M `/net/projects/hadoop/bin/compute-splitsize $CLUSTERS_FILE $M` $CLUSTERS_FILE step-16-out</code>
	Solution: {{:courses:mapreduce-tutorial:step-16-solution3.txt|kmeans.pl}}, much faster solution with distance computations written in C: {{:courses:mapreduce-tutorial:step-16-solution3_c.txt|kmeans_C.pl}}.		Solution: {{:courses:mapreduce-tutorial:step-16-solution3.txt|kmeans.pl}}, much faster solution with distance computations written in C: {{:courses:mapreduce-tutorial:step-16-solution3_c.txt|kmeans_C.pl}}.

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