Hi, in this MR example, it exists the field "Reduce input groups" and "Reduce input records". What's the difference between these 2 fields?
$ hadoop jar cloud9.jar edu.umd.cloud9.example.simple.DemoWordCount data/bible+shakes.nopunc wc 1 10/07/11 22:25:42 INFO simple.DemoWordCount: Tool: DemoWordCount 10/07/11 22:25:42 INFO simple.DemoWordCount: - input path: data/bible+shakes.nopunc 10/07/11 22:25:42 INFO simple.DemoWordCount: - output path: wc 10/07/11 22:25:42 INFO simple.DemoWordCount: - number of reducers: 1 [...] 10/07/11 22:25:48 INFO mapred.JobClient: Counters: 12 10/07/11 22:25:48 INFO mapred.JobClient: FileSystemCounters 10/07/11 22:25:48 INFO mapred.JobClient: FILE_BYTES_READ=22907000 10/07/11 22:25:48 INFO mapred.JobClient: FILE_BYTES_WRITTEN=5867160 10/07/11 22:25:48 INFO mapred.JobClient: Map-Reduce Framework 10/07/11 22:25:48 INFO mapred.JobClient: Reduce input groups=41788 10/07/11 22:25:48 INFO mapred.JobClient: Combine output records=128253 10/07/11 22:25:48 INFO mapred.JobClient: Map input records=156215 10/07/11 22:25:48 INFO mapred.JobClient: Reduce shuffle bytes=0 10/07/11 22:25:48 INFO mapred.JobClient: Reduce output records=41788 10/07/11 22:25:48 INFO mapred.JobClient: Spilled Records=170041 10/07/11 22:25:48 INFO mapred.JobClient: Map output bytes=15919397 10/07/11 22:25:48 INFO mapred.JobClient: Combine input records=1820763 10/07/11 22:25:48 INFO mapred.JobClient: Map output records=1734298 10/07/11 22:25:48 INFO mapred.JobClient: Reduce input records=41788 10/07/11 22:25:48 INFO simple.DemoWordCount: Job Finished in 5.345 seconds -- Pedro
