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...
