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Both sides previous revision Previous revision 2013/02/08 14:33 popel Milan improved our Hadoop2012/02/05 21:24 straka 2012/02/05 21:21 straka 2012/02/05 21:21 straka 2012/02/05 21:19 straka 2012/02/05 21:16 straka 2012/02/05 21:15 straka 2012/02/05 21:15 straka 2012/02/05 21:15 straka 2012/02/05 21:14 straka 2012/02/05 21:06 straka 2012/02/05 21:05 straka 2012/02/05 21:04 straka 2012/02/05 20:00 straka 2012/02/05 19:37 straka vytvořeno Go Next revision		Previous revision 2013/02/08 14:33 popel Milan improved our Hadoop2012/02/05 21:24 straka 2012/02/05 21:21 straka 2012/02/05 21:21 straka 2012/02/05 21:19 straka 2012/02/05 21:16 straka 2012/02/05 21:15 straka 2012/02/05 21:15 straka 2012/02/05 21:15 straka 2012/02/05 21:14 straka 2012/02/05 21:06 straka 2012/02/05 21:05 straka 2012/02/05 21:04 straka 2012/02/05 20:00 straka 2012/02/05 19:37 straka vytvořeno Go Last revision Both sides next revision
courses:mapreduce-tutorial:running-jobs [2012/02/05 20:00] straka		courses:mapreduce-tutorial:running-jobs [2012/02/05 21:24] straka
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	====== MapReduce Tutorial : Running jobs ======		====== MapReduce Tutorial : Running jobs ======
		+
		+	The input of a Hadoop job is either a file, or a directory. In latter case all files in the directory are processed.
		+
		+	The output of a Hadoop job must be a directory, which does not exist.
		+
		+	===== Running jobs =====
		+
		+	| ^ Command ^
		+	^ Run Perl script ''script.pl'' | ''perl script.pl'' //options// |
		+	^ Run Java job ''job.jar'' | ''/net/projects/hadoop/bin/hadoop job.jar'' //options// |
		+
		+	The options are the same for Perl and java:
		+
		+	| ^ Options ^
		+	^ Run locally | ''input output'' |
		+	^ Run using specified jobtracker | ''-jt jobtracker:port input output'' |
		+	^ Run job in dedicated cluster | ''-c number_of_machines input output'' |
		+	^ Run job in dedicated cluster and after it finishes, \\ wait for //W// seconds before stopping the cluster | ''-c number_of_machines -w W_seconds input output'' |
		+	^ Run using //R// reducers \\ (//R//>1 not working when running locally)| ''-r R input output'' |
		+	^ Run using //M// mappers | ''`/net/projects/hadoop/bin/compute-splitsize input M` input output'' |
		+
		+	===== Running multiple jobs =====
		+	There are several ways of running multiple jobs:
		+	* Java only: Create multiple ''Job'' instances and call ''submit'' or ''waitForCompletion'' multiple times
		+	* Create a cluster using ''/net/projects/hadoop/bin/hadoop-cluster'', parse the jobtracker:port using ''head -1'' and run the jobs using ''-jt jobtracker:port''
		+	* Create a shell script running multiple jobs using ''-jt HADOOP_JOBTRACKER''. Then run it using ''//net/projects/hadoop/bin/hadoop-cluster -c machines script.sh''.

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