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

Benchmarking and profiling a Hadoop cluster


Benchmarking of a Hadoop cluster is the first step to tune the performance of a Hadoop cluster. We can also use Hadoop benchmarks to identify configuration problems and use it as reference for performance tuning. For example, by comparing the local benchmark with clusters with similar configurations, we can have a general understanding of the cluster performance.

Typically, we benchmark a Hadoop cluster after the cluster is newly configured and before putting it to service to accept jobs. This is because, when clients can submit jobs, the benchmarks can be perplexed by the client's jobs to show the real performance of a Hadoop cluster, and also the benchmark jobs can cause inconveniences for the clients.

In this section, we will introduce how to benchmark and stress test a Hadoop cluster using the tests and examples package included in the Hadoop distribution. More specifically, we will test the read/write performance of the HDFS cluster. In addition...