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Both sides previous revision Previous revision 2012/01/31 11:29 straka 2012/01/31 11:28 straka 2012/01/31 11:27 straka 2012/01/31 09:52 straka Change Java commandline syntax.2012/01/30 15:38 majlis 2012/01/30 15:04 majlis 2012/01/28 17:55 straka 2012/01/27 23:57 straka 2012/01/27 23:48 straka 2012/01/27 23:47 straka 2012/01/27 23:46 straka 2012/01/27 22:20 straka 2012/01/27 22:17 straka 2012/01/27 22:17 straka 2012/01/27 22:16 straka 2012/01/27 22:16 straka 2012/01/27 22:08 straka 2012/01/27 22:08 straka 2012/01/27 22:01 straka 2012/01/27 21:56 straka 2012/01/27 21:52 straka 2012/01/27 21:47 straka 2012/01/27 21:41 straka 2012/01/27 21:32 straka 2012/01/27 21:28 straka 2012/01/27 21:28 straka 2012/01/27 21:27 straka 2012/01/27 21:27 straka 2012/01/27 21:02 straka 2012/01/27 21:01 straka 2012/01/27 20:56 straka 2012/01/27 20:40 straka 2012/01/27 20:11 straka vytvořeno Go		2012/01/31 11:29 straka 2012/01/31 11:28 straka 2012/01/31 11:27 straka 2012/01/31 09:52 straka Change Java commandline syntax.2012/01/30 15:38 majlis 2012/01/30 15:04 majlis 2012/01/28 17:55 straka 2012/01/27 23:57 straka 2012/01/27 23:48 straka 2012/01/27 23:47 straka 2012/01/27 23:46 straka 2012/01/27 22:20 straka 2012/01/27 22:17 straka 2012/01/27 22:17 straka 2012/01/27 22:16 straka 2012/01/27 22:16 straka 2012/01/27 22:08 straka 2012/01/27 22:08 straka 2012/01/27 22:01 straka 2012/01/27 21:56 straka 2012/01/27 21:52 straka 2012/01/27 21:47 straka 2012/01/27 21:41 straka 2012/01/27 21:32 straka 2012/01/27 21:28 straka 2012/01/27 21:28 straka 2012/01/27 21:27 straka 2012/01/27 21:27 straka 2012/01/27 21:02 straka 2012/01/27 21:01 straka 2012/01/27 20:56 straka 2012/01/27 20:40 straka 2012/01/27 20:11 straka vytvořeno Go Next revision Both sides next revision
courses:mapreduce-tutorial:step-24 [2012/01/27 21:27] straka		courses:mapreduce-tutorial:step-24 [2012/01/27 21:28] straka
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	The official way of running Hadoop jobs is to use the ''/SGE/HADOOP/active/bin/hadoop'' script. Jobs submitted through this script can be configured using Hadoop properties only. Therefore a wrapper script is provided, with similar options as the Perl API runner:		The official way of running Hadoop jobs is to use the ''/SGE/HADOOP/active/bin/hadoop'' script. Jobs submitted through this script can be configured using Hadoop properties only. Therefore a wrapper script is provided, with similar options as the Perl API runner:
-	* ''net/projects/hadoop/bin/hadoop [-r number_of_reducers] job.jar input_path output_path'' executes the given job locally in a single thread. It is useful for debugging.	+	* ''net/projects/hadoop/bin/hadoop [-r number_of_reducers] job.jar [generic Hadoop properties] input_path output_path'' executes the given job locally in a single thread. It is useful for debugging.
-	* ''net/projects/hadoop/bin/hadoop -jt cluster_master [-r number_of_reducers] job.jar input_path output_path'' submits the job to given ''cluster_master''.	+	* ''net/projects/hadoop/bin/hadoop -jt cluster_master [-r number_of_reducers] job.jar [generic Hadoop properties] input_path output_path'' submits the job to given ''cluster_master''.
-	* ''net/projects/hadoop/bin/hadoop -c number_of_machines [-w secs_to_wait_after_job_finishes] [-r number_of_reducers] job.jar input_path output_path'' creates a new cluster with specified number of machines, which executes given job, and then waits for specified number of seconds before it stops.	+	* ''net/projects/hadoop/bin/hadoop -c number_of_machines [-w secs_to_wait_after_job_finishes] [-r number_of_reducers] job.jar [generic Hadoop properties] input_path output_path'' creates a new cluster with specified number of machines, which executes given job, and then waits for specified number of seconds before it stops.

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