Hadoop Word Count Program Explanation | Cloudera Hadoop Training | Cloudera Tutorial | Simplilearn

This Hadoop Tutorial will explain the concept of wordcount program which is basically called Hadoop combiner.

Hadoop Word Count Program Using Combiner:
Here is a brief summary on how MapReduce Combiner works
1. A combiner does not have a predefined interface and it must implement the Reducer interface’s reduce method.
2. A combiner operates on each map output key. It must have the same output key-value types as the Reducer class.
3. A combiner can produce summary information from a large dataset because it replaces the original Map output.
4.Although, Combiner is optional yet it helps segregating data into multiple groups for Reduce phase, which makes it easier to process.

A Combiner, also called as semi-reducer, is an optional class that works by getting the inputs from the Map class and from that point passing the yield key-esteem sets to the Reducer class.

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[SudarshanThakurIRONPULLER]

Good concept and i have implemented Combiner by seeing your video .My apllication completes fast but there is one issue when i use combiner .i am reading Hbase table that has 40 regions and write to the text files .So because of 40 regions 40 mappers are running and when i run combiner for each mapper one output file getting generated .Can you please help ?