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courses:mapreduce-tutorial:step-6 [2012/01/25 00:11] straka |
courses:mapreduce-tutorial:step-6 [2012/01/25 00:28] straka |
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| * running, failed and successfully completed jobs | * running, failed and successfully completed jobs | ||
| * for running job, current progress and counters of the whole job and also of each mapper and reducer is available | * for running job, current progress and counters of the whole job and also of each mapper and reducer is available | ||
| - | * for any job, the counters and outputs of all mappers and reducers | + | * for any job, the counters and outputs of all mappers and reducers |
| + | * for any job, all Hadoop settings | ||
| + | ===== Example ===== | ||
| + | |||
| + | Try running the {{: | ||
| + | perl wordcount.pl -c 1 -w 300 -Dmapred.max.split.size=1000000 / | ||
| + | and explore the web interface. | ||
| + | |||
| + | If you cannot access directly the '' | ||
| + | ssh -N -L 50030: | ||
| + | to create a tunnel from local port 50030 to machine '' | ||