Map reduce programming based on Hadoop (i)

Translation of a foreign article on Hadoop MapReduce, the article is relatively long, first translation of the first part of it

Translated by: pconlin900

Blog: http://pconline900.javaeye.com

Hadoop is an open source Map-reduce framework for Apache, MapReduce is a parallel computing model for processing massive amounts of data. The model idea comes from Google's Jeffrey Dean and Sanjay Ghemawat, including map () reduce () two main features.

This is a simple example of a mapreduce application similar to Hadoop, applying the basic idea of MapReduce to help understand the processing ideas and techniques of Hadoop, but note that it does not use the Hadoop framework.

The function of the example is to create some strings and then count the occurrences of each character within those strings, and finally the total number of characters appears.

Listing 1. Main program

public class Main
{public
static void Main (string[] args)
{
Mymapreduce i = new Mymapreduce (); 
  my.init ();
}