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courses:mapreduce-tutorial:step-6 [2012/01/28 13:30] majlis Little explanation was added. |
courses:mapreduce-tutorial:step-6 [2012/01/29 20:25] straka |
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So far all our Hadoop jobs were executed locally. But all of them can be executed on multiple machines. It suffices to add parameter '' | So far all our Hadoop jobs were executed locally. But all of them can be executed on multiple machines. It suffices to add parameter '' | ||
perl script.pl run -c number_of_machines [-w sec_to_wait_after_job_completion] input_directory output_directory | perl script.pl run -c number_of_machines [-w sec_to_wait_after_job_completion] input_directory output_directory | ||
- | This commands creates a cluster of specified number of machines. Every machine is able to run two mappers and two reducers simultaneously. In order to be able to observe the status of the computation after it ends, parameter '' | + | This commands creates a cluster of specified number of machines. Every machine is able to run two mappers and two reducers simultaneously. In order to be able to observe the counters, |
One of the machines in the cluster is a //master//, or a //job tracker//, and it is used to identify the cluster. | One of the machines in the cluster is a //master//, or a //job tracker//, and it is used to identify the cluster. | ||
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on your computer to create a tunnel from local port 50030 to machine '' | on your computer to create a tunnel from local port 50030 to machine '' | ||
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