Executing the Map Reduce program in a Hadoop cluster
In the previous recipe, we took a look at how to write a map reduce program for a page view counter. In this recipe, we will explore how to execute this in a Hadoop cluster.
Getting ready
To perform this recipe, you should already have a running Hadoop cluster as well as an eclipse similar to an IDE.
How to do it
To execute the program, we first need to create a JAR file of it. JAR stands for Java Archive file, which contains compiled class files. To create a JAR file in eclipse, we need to perform the following steps:
Right-click on the project where you've written your Map Reduce Program. Then, click on Export.
Select Java->Jar File and click on the Next button. Browse through the path where you wish to export the JAR file, and provide a proper name to the jar file. Click on Finish to complete the creation of the JAR file.
Now, copy this file to the Hadoop cluster. If you have your Hadoop cluster running in the AWS EC2 instance, you can...
