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

Analyzing job history with Rumen


Rumen is a tool for extracting well-formatted information from job logfiles. It parses logs and generates statistics for the Hadoop jobs. The job traces can be used for performance tuning and simulation.

Current Rumen implementation includes two components: TraceBuilder and folder . The TraceBuilder takes job history as input and generates easily parsed json files. The folder is a utility to manipulate on input traces, and, most of the time, it is used to scale the summarized job traces from the TraceBuilder. For example, we can use the folder tool to scale up (make time longer) or down (make time shorter) the job runtime. In this recipe, we will outline steps to analyze the job history with Rumen.

Getting ready

Before getting started, we assume that the Hadoop cluster has been properly configured and all the daemons are running without any issues.

Log in from the Hadoop cluster administrator machine to the cluster master node using the following command:

...