This document summarizes the steps to execute a WordCount program using Hadoop MapReduce: 1. Create a Java project in Eclipse, add the necessary Hadoop JAR files, and create a WordCount class with the MapReduce code. 2. Export the program to a JAR file and check that it exists locally. 3. Put sample input data in HDFS, run the MapReduce job with the input and output directories specified, and check the output file for word counts.

1. Execution of WordCount program
using Hadoop MapReduce

2. Open Eclipse in cloudera.

3. Click on File ->New ->Java Project.

4. Enter the Project Name and click on Next>

5. Click on Libraries->Add External JARs.

6. Under places select File System->usr

7. Click on lib.

8. Click on hadoop.

9. Select all the jar files in the folder and click ok.

10. Click on Add External JARs again.

11. Click on Client->Select all the jar files and click ok.

12. Click Finish.

13. In the package explorer pane, expand WordCount ->right click on src ->select new-> select class .

14. Enter Name and click finish

15. Now enter the java code for word count program.

18. Refer the apache.org website for the code.

19. After saving the program -> right click on WordCount in the PackageExplorer pane -> click export.

20. Expand Java and click on JAR file. Click Next

21. Click on browse .

22. Click on cloudera and enter the Name as .jar file. Then click ok.

23. Click on Finish.

24. Open Terminal.

25. Use ls command to check if the jar file is present.

26. Create a text file and enter sample data into the text file. Press ctrl +Z when u have finished entering the
data.

28. Check whether the data has been entered properly by displaying the content of txt file.

29. Create a directory in hdfs.

30. Move the txt file into hdfs .

31. Check if the file is moved properly by displaying the file contents.

32. Now give the txt file store in HDFS as input to the MapReduce program.
( /output is the directory in which the output will be stored.)
hadoop jar /home/cloudera/WordCount.jar WordCount /input/Sample_data.txt /output

34. Check the contents of the output directory. It will contain a file named “part-r-00000” which contains the
output of the program.

35. Display the contents of that file to check the output obtained.

36. MapReduce WordCount program :
https://hadoop.apache.org/docs/stable/hadoop-mapreduce-
client/hadoop-mapreduce-client-core/MapReduceTutorial.html

37. Thank You