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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
courses:mapreduce-tutorial:running-jobs [2012/02/05 21:19] straka		courses:mapreduce-tutorial:running-jobs [2013/02/08 14:33] (current) popel Milan improved our Hadoop
Line 8:		Line 8:
	| ^ Command ^		| ^ Command ^
-	^ Run Perl script ''script.pl'' | ''perl script.pl'' |	+	^ Run Perl script ''script.pl'' | ''perl script.pl'' //options// |
		+	^ Run Java job ''job.jar'' | ''/net/projects/hadoop/bin/hadoop job.jar'' //options// |
-	* When running Perl script ''script.pl'', use	+	The options are the same for Perl and java:
-	Choosing mode of operation:	+	| ^ Options ^
-	| ^ Command ^	+	^ Run locally | ''input output'' |
-	^ Run locally | ''perl script.pl input output'' |	+	^ Run using specified jobtracker | ''-jt jobtracker:port input output'' |
-	^ Run using specified jobtracker | ''perl script.pl -jt jobtracker:port input output'' |	+	^ Run job in dedicated cluster | ''-c number_of_machines input output'' |
-	^ Run job in dedicated cluster | ''perl script.pl -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 job in dedicated cluster and after it finishes, \\ wait for //W// seconds before stopping the cluster | ''perl script.pl -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'' |
-	Specifying number of mappers and reducers:	+	From February 2012, using the parameter ''-w'' makes Hadoop to wait W seconds after the **last** task is finished. This means that you can start a cluster for one task (with ''-c N_machines -w W_seconds'') and reuse it (with ''-jt jobtracker:port'') for other tasks without worries that the other tasks will be killed before finishing.
-	| ^ Command ^	+
-	^ Run using //R// reducers \\ (//R//>1 not working when running locally)| ''perl script.pl -r R script.pl input output'' |	+
-	^ Run using //M// mappers | ''perl script.pl `/net/projects/hadoop/bin/compute-splitsize input M` input output'' |	+
-		+
-	===== Run Java jobs =====	+
-	Choosing mode of operation:	+
-	| ^ Command ^	+
-	^ Run locally | ''/net/projects/hadoop/bin/hadoop job.jar input output'' |	+
-	^ Run using specified jobtracker | ''/net/projects/hadoop/bin/hadoop job.jar -jt jobtracker:port input output'' |	+
-	^ Run job in dedicated cluster | ''/net/projects/hadoop/bin/hadoop job.jar -c number_of_machines input output'' |	+
-	^ Run job in dedicated cluster and after it finishes, \\ wait for //W// seconds before stopping the cluster | ''/net/projects/hadoop/bin/hadoop job.jar -c number_of_machines -w W_seconds input output'' |	+
-		+
-	Specifying number of mappers and reducers:	+
-	| ^ Command ^	+
-	^ Run using //R// reducers \\ (//R//>1 not working when running locally)| ''/net/projects/hadoop/bin/hadoop job.jar -r R script.pl input output'' |	+
-	^ Run using //M// mappers | ''/net/projects/hadoop/bin/hadoop job.jar `/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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