Running a MapReduce job

We use the jar command to run the wordcount example

-bash-4.2$ hadoop jar /usr/local/hadoop-1.0.3/hadoop-examples-1.0.3.jar wordcount /user/hduser/gutenberg /user/hduser/gutenberg-output
12/08/09 11:54:24 INFO input.FileInputFormat: Total input paths to process : 7
12/08/09 11:54:24 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
12/08/09 11:54:24 WARN snappy.LoadSnappy: Snappy native library not loaded
12/08/09 11:54:25 INFO mapred.JobClient: Running job: job_201208091151_0001
12/08/09 11:54:26 INFO mapred.JobClient:  map 0% reduce 0%
12/08/09 11:55:12 INFO mapred.JobClient:  map 14% reduce 0%
12/08/09 11:55:16 INFO mapred.JobClient:  map 28% reduce 0%
12/08/09 11:56:02 INFO mapred.JobClient:  map 56% reduce 9%
12/08/09 11:56:05 INFO mapred.JobClient:  map 57% reduce 9%
12/08/09 11:56:27 INFO mapred.JobClient:  map 57% reduce 19%
12/08/09 11:56:42 INFO mapred.JobClient:  map 85% reduce 19%
12/08/09 11:56:58 INFO mapred.JobClient:  map 85% reduce 28%
12/08/09 11:57:04 INFO mapred.JobClient:  map 100% reduce 28%
12/08/09 11:57:22 INFO mapred.JobClient:  map 100% reduce 100%
12/08/09 11:57:33 INFO mapred.JobClient: Job complete: job_201208091151_0001
...
<A lot more stats output>