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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 2012/02/06 08:03 straka 2012/02/06 08:02 straka 2012/02/06 07:59 straka vytvořeno Go		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 Next revision Both sides next revision
courses:mapreduce-tutorial:step-31 [2012/02/06 08:41] straka		courses:mapreduce-tutorial:step-31 [2012/02/06 08:50] straka
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	===== Exercise 3 =====		===== Exercise 3 =====
-	Implement an AllReduce job on ''/net/projects/hadoop/examples/inputs/numbers-small'', which computes	+	Implement an AllReduce job on ''/net/projects/hadoop/examples/inputs/points-small'', which implements the [[http://en.wikipedia.org/wiki/K-means_clustering#Standard_algorithm|K-means clustering algorithm]]. See [[.:step-15|K-means clustering exercise]] for description of input data.
-	You can download the template {{:courses:mapreduce-tutorial:step-31-exercise3.txt|KMeans.java}} and execute it using:	+	You can download the template {{:courses:mapreduce-tutorial:step-31-exercise3.txt|KMeans.java}}. This template uses two Hadoop properties:
		+	* ''clusters.num'' -- number of clusters
		+	* ''clusters.file'' -- file where to read the initial clusters from
		+	You can download and compile it using:
	wget --no-check-certificate 'https://wiki.ufal.ms.mff.cuni.cz/_media/courses:mapreduce-tutorial:step-31-exercise3.txt' -O KMeans.java.java		wget --no-check-certificate 'https://wiki.ufal.ms.mff.cuni.cz/_media/courses:mapreduce-tutorial:step-31-exercise3.txt' -O KMeans.java.java
	# NOW VIEW THE FILE		# NOW VIEW THE FILE
	# $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
-	rm -rf step-31-out; /net/projects/hadoop/bin/hadoop KMeans.java.jar -c C `/net/projects/hadoop/bin/compute-splitsize /net/projects/hadoop/examples/inputs/numbers-small C` /net/projects/hadoop/examples/inputs/numbers-small step-31-out	+	You can run it using //C// machines on the following input data:
-	less step-31-out/part-*	+	* ''/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-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>
		+	* ''/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>
	Solution: {{:courses:mapreduce-tutorial:step-31-solution3.txt|KMeans.java}}.		Solution: {{:courses:mapreduce-tutorial:step-31-solution3.txt|KMeans.java}}.

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