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courses:mapreduce-tutorial:step-6 [2012/01/24 23:49] straka |
courses:mapreduce-tutorial:step-6 [2012/01/24 23:51] straka |
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Probably the most important feature of MapReduce is to run computations distributively. | Probably the most important feature of MapReduce is to run computations distributively. | ||
- | So far all our MR jobs were executed locally. But all of them can be executed on multiple machines. It suffices to add parameter '' | + | So far all our MR 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, | ||