Book Image

Hadoop 2.x Administration Cookbook

By : Aman Singh
Book Image

Hadoop 2.x Administration Cookbook

By: Aman Singh

Overview of this book

Hadoop enables the distributed storage and processing of large datasets across clusters of computers. Learning how to administer Hadoop is crucial to exploit its unique features. With this book, you will be able to overcome common problems encountered in Hadoop administration. The book begins with laying the foundation by showing you the steps needed to set up a Hadoop cluster and its various nodes. You will get a better understanding of how to maintain Hadoop cluster, especially on the HDFS layer and using YARN and MapReduce. Further on, you will explore durability and high availability of a Hadoop cluster. You’ll get a better understanding of the schedulers in Hadoop and how to configure and use them for your tasks. You will also get hands-on experience with the backup and recovery options and the performance tuning aspects of Hadoop. Finally, you will get a better understanding of troubleshooting, diagnostics, and best practices in Hadoop administration. By the end of this book, you will have a proper understanding of working with Hadoop clusters and will also be able to secure, encrypt it, and configure auditing for your Hadoop clusters.
Table of Contents (20 chapters)
Hadoop 2.x Administration Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Index

Configuring and enabling Kerberos for Hadoop


In this recipe, we will be configuring Kerberos for a Hadoop cluster and enabling the authentication of services using tokens. Each service and user must have its principal created and imported to the keytab files. These keytab files should be available to the Hadoop daemons to read the passwords and perform operations.

It is assumed that the user has completed the previous recipe "Kerberos Server Setup" and is comfortable using Kerberos.

Getting ready

Make sure that the user has a running cluster with HDFS or YARN fully functional in a multinode cluster and a Kerberos server set up.

How to do it...

  1. The first thing is to make sure all the nodes are in sync with time and DNS is fully set up.

  2. On each node in the cluster, install the Kerberos workstation packages using the following commands:

    # yum install -y krb5-libs krb5-workstation
    
  3. Connect to the KDC server rep.cluster1.com and create a host key for each host in the cluster, as shown in the following...