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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 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 Next revision Both sides next revision
courses:mapreduce-tutorial:step-31 [2012/02/06 08:13] straka		courses:mapreduce-tutorial:step-31 [2012/02/06 08:21] straka
Line 31:		Line 31:
	It is crucial that all the mappers run simultaneously. This can be achieved using the ''/net/projects/hadoop/bin/compute-splitsize'' script: for given Hadoop input and requested number of mappers, it computes the appropriate splitsize.		It is crucial that all the mappers run simultaneously. This can be achieved using the ''/net/projects/hadoop/bin/compute-splitsize'' script: for given Hadoop input and requested number of mappers, it computes the appropriate splitsize.
		+
		+	When the computation finishes, only one of the mappers should print the results, as all of them have the same results. For simplicity, the ''cooperate'' method has ''boolean shouldWrite'' argument, which is set in exactly one mapper.
	===== Example =====		===== Example =====
Line 98:		Line 100:
	</code>		</code>
-	You can run the example using:	+	You can run the example locally using:
-	wget	+	wget --no-check-certificate 'https://wiki.ufal.ms.mff.cuni.cz/_export/code/courses:mapreduce-tutorial:step-31?codeblock=0' -O Sum.java
		+	make -f /net/projects/hadoop/java/Makefile Sum.java
		+	rm -rf step-31-out; /net/projects/hadoop/bin/hadoop Sum.jar /net/projects/hadoop/examples/inputs/numbers-small step-31-out
		+	less step-31-out/part-*
		+
		+	To run on a cluster with //C// machines using //C// mappers:
		+	rm -rf step-31-out; /net/projects/hadoop/bin/hadoop -c C `/net/projects/hadoop/bin/compute-splitsize /net/projects/hadoop/examples/inputs/numbers-small C` Sum.jar /net/projects/hadoop/examples/inputs/numbers-small step-31-out
		+	less step-31-out/part-*
		+
		+	===== Exercise 1 =====
		+	Implement an AllReduce job on

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