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Hadoop 2.x Administration Cookbook

You're reading from   Hadoop 2.x Administration Cookbook Administer and maintain large Apache Hadoop clusters

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781787126732
Length 348 pages
Edition 1st Edition
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Author (1):
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Aman Singh Aman Singh
Author Profile Icon Aman Singh
Aman Singh
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Toc

Table of Contents (14) Chapters Close

Preface 1. Hadoop Architecture and Deployment FREE CHAPTER 2. Maintaining Hadoop Cluster HDFS 3. Maintaining Hadoop Cluster – YARN and MapReduce 4. High Availability 5. Schedulers 6. Backup and Recovery 7. Data Ingestion and Workflow 8. Performance Tuning 9. HBase Administration 10. Cluster Planning 11. Troubleshooting, Diagnostics, and Best Practices 12. Security 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...
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