Mapreduce which reads text files and counts how often words occur. The input is text files and the output is text files, each line of which contains a word and the count of how often it occurred, separated by a tab.
Um…. so you want to know why the word counting program is a good example for MapReduce?
MapReduce implementation is specific to the problem we are trying to solve. In this specific count example, we want to know frequency of each word and we also want to know what that word is. Therefore we process the input text files, list down the words and the frequency of existence of each word and then return it. Now why it is done in a single node cluster - reason is simple because MapReduce logic does not depend on how many nodes are in a cluster so it has to return the words and their count and therefore the logic will still stay the same regardless of it is run on one node or many nodes in a cluster or cluster of clusters. hope that helps.
Instead of word count what other programs can we verify or execute in single node cluster?
can any one say a method to minimize my calling widget in my android mobile Samsung galaxy y duos GT-S6102 since i prefer texting my friend response in chatting and later i attend that call.. but i dont want to ignore or reject tat call????
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