WordCount program code using RStudio.
The WordCount.java file when executed performs MapReduce funtion on large amounts of text. you can install and configure Hadoop in your machine, as long as it runs Linux or OSX. You can find Hadoop installation instructions for your computer at: http://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/SingleCluster.html
You can use either an IDE (Eclipse, Netbeans), or your favorite code editor to create the Hadoop classes. However, the project must be built and packaged using the Ant script. The following Youtube video provides a step by step guide on configuring Hadoop for Eclipse and Ant in the ITL environment: https://qmplus.qmul.ac.uk/mod/url/view.php?id=710623
Execution: Create a root folder (lets name it Bigdata for example) In Bigdata folder create another src/folder Store all the java files in the src/folder. Create an input folder and store the input file(Sherlock.txt) in this. Include the build.xml file in your root folder. This file is customized. You will need to update the hadoop.base.path, hadoop.version and hadoop.core.file property defined at the beginning of the file.
Open Terminal. In the root directory. bash:ant clean dist (For a complete reference on the ant building system you can check http://ant.apache.org) Upon successful execution, it creates a dist folder in the root folder which contains the WordCount.jar file.
bash: hadoop-local jar /dist/WordCount.jar WordCount input out If successful, it creates an out folder in the root folder. The out folder contains 2 files. part-r-00000 and _SUCCESS
The output of the MapReduce program is stored in the part-r-00000.