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

Checking job history from the web UI


Hadoop keeps track of all the submitted jobs in the logs directory. The job history logs contain information for each job such as the total run time and the run time of each task. In this section, we will show you how to check the job history logs through a web UI.

Getting ready

We assume that our Hadoop cluster has been properly configured and all daemons are running without any issues.

How to do it...

Perform the following steps to check job history logs from a web UI:

  1. Open the job history URL, http://master:50030/jobhistoryhome.jsp.

    We will be able to get a web page similar to the following screenshot:

    On the web UI, we can filter jobs based on the username and job name in the format username:jobname as shown in the screenshot. username should be the username that runs a certain job, and job name should contain keywords of Hadoop jobs.

  2. From the web UI, we will be able to get a list of jobs in the Available Jobs in History section. By clicking on the Job Id...