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ExampleWordCount example 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 occured, separated by a tab.Each mapper takes a line as input and breaks it into words. It then emits a key/value pair of the word and 1. Each reducer sums the counts for each word and emits a single key/value with the word and sum.As an optimization, the reducer is also used as a combiner on the map outputs. This reduces the amount of data sent across the network by combining each word into a single record.To run the example, the command syntax isbin/hadoop jar hadoop-.-examples.jar wordcount -m -r All of the files in the input directory (called in-dir in the command line above) are read and the counts of words in the input are written to the output directory (called out-dir above). It is assumed that both inputs and outputs are stored in HDFS (see ). If your input is not already in HDFS, but is rather in a local file system somewhere, you need to copy the data into HDFS using a command like this:bin/hadoop dfs -mkdir bin/hadoop dfs -copyFromLocal As of version 0.17.2.1, you only need to run a command like this:bin/hadoop dfs -copyFromLocal Word count supports generic options: seeBelow is the standard wordcount example implemented in Java.
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