Book Image

Hadoop Operations and Cluster Management Cookbook

By : Shumin Guo
Book Image

Hadoop Operations and Cluster Management Cookbook

By: Shumin Guo

Overview of this book

<p>We are facing an avalanche of data. The unstructured data we gather can contain many insights that could hold the key to business success or failure. Harnessing the ability to analyze and process this data with Hadoop is one of the most highly sought after skills in today's job market. Hadoop, by combining the computing and storage powers of a large number of commodity machines, solves this problem in an elegant way!</p> <p>Hadoop Operations and Cluster Management Cookbook is a practical and hands-on guide for designing and managing a Hadoop cluster. It will help you understand how Hadoop works and guide you through cluster management tasks.</p> <p>This book explains real-world, big data problems and the features of Hadoop that enables it to handle such problems. It breaks down the mystery of a Hadoop cluster and will guide you through a number of clear, practical recipes that will help you to manage a Hadoop cluster.</p> <p>We will start by installing and configuring a Hadoop cluster, while explaining hardware selection and networking considerations. We will also cover the topic of securing a Hadoop cluster with Kerberos, configuring cluster high availability and monitoring a cluster. And if you want to know how to build a Hadoop cluster on the Amazon EC2 cloud, then this is a book for you.</p>
Table of Contents (15 chapters)
Hadoop Operations and Cluster Management Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Validating Hadoop installation


The configuration of a Hadoop cluster is not done before the validation step. Validation plays an important role in the configuration of a Hadoop cluster; for example, it can help us figure out configuration problems.

The most straightforward way to validate a Hadoop cluster configuration is to run a MapReduce job from the master node. Alternatively, there are two methods to validate the cluster configuration. One is from web interface and the other is from the command line. In this recipe, we will list steps to validate the configuration of a Hadoop cluster.

Getting ready

To validate the configuration from the web interface, a web browser such as Firefox or Google Chrome is needed. Sometimes if a GUI web browser is not available, we can use a command line based web browser such as elinks and lynx. In this book, we assume to use elinks for illustration purpose.

We assume that elinks has been installed with the following command:

sudo yum install elinks

Start all...