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

Configuring NameNode high availability


As of this book's writing, the NameNode of the Hadoop stable release is a single point of failure. In case of either accidental failures or regular maintenance, the cluster will become unavailable. This is a big problem for a production Hadoop cluster. In this recipe, we list the steps to configure NameNode HA.

In order for the standby NameNode to automatically recover from the active NameNode failure, the NameNode HA implementation requires that the edit logs of the standby NameNode to be always kept synchronized with the active NameNode. Hadoop HA offers two ways to do this. One is based on Quorum and the other is based on shared storage using NFS. In this recipe, we will only show you how to configure HA using Quorum.

Getting ready

Currently, Hadoop release 1.x.y (MRv1) doesn't support NameNode HA, so we are assuming that all the cluster nodes already have Hadoop Version 2.0.x (MRv2) installed.

Tip

Be cautious that this Hadoop version is still in alpha...