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

Introduction


From the perspective of functionality, a Hadoop cluster is composed of an HDFS cluster and a MapReduce cluster. The HDFS cluster consists of the default filesystem for Hadoop. It has one or more NameNodes to keep track of the filesystem metadata, while actual data blocks are stored on distributed slave nodes managed by DataNode . Similarly, a MapReduce cluster has one JobTracker daemon on the master node and a number of TaskTrackers on the slave nodes. The JobTracker manages the life cycle of MapReduce jobs. It splits jobs into smaller tasks and schedules the tasks to run by the TaskTrackers. A TaskTracker executes tasks assigned by the JobTracker in parallel by forking one or a number of JVM processes. As a Hadoop cluster administrator, you will be responsible for managing both the HDFS cluster and the MapReduce cluster.

In general, system administrators should maintain the health and availability of the cluster. More specifically, for an HDFS cluster, it means the management...