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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

Product type Paperback

Published in May 2017

Publisher Packt

ISBN-13 9781787126732

Length 348 pages

Edition 1st Edition

Tools

Hadoop

Concepts

System Administration

Author (1):

Aman Singh

View More author details

Table of Contents (20) Chapters

Hadoop 2.x Administration Cookbook

Credits

About the Author

About the Reviewers

www.PacktPub.com

Customer Feedback

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 HA for Edge nodes

Edge node is the access point for the cluster and it is always good to have multiple nodes to load balance and also to maintain high availability in case one node goes down.

This can be done in multiple ways, by either using a dedicated hardware load balancer in front of Edge nodes or by setting a DNS round robin with a health check.

Getting ready

Make sure that the user has a running cluster with at least two Edge nodes with Hadoop installed. Refer to Chapter 1, Hadoop Architecture and Deployment, for Edge node and DNS configurations. It is presumed that the users are aware about the working of DNS and is from Linux Administration background.

How to do it...

Connect to the client1.cyrus.com Edge node.
Check the DNS resolution of the node using the following command:
```
$ nslookup client1.cyrus.com
```
The preceding command will return an IP address, something like 10.0.0.11.
Check the resolution on the other Edge node client2.cyrus.com as well. It will also return an IP...

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Authors (1)

Aman Singh

Aman Singh

Gurmukh Singh is a seasoned technology professional with 14+ years of industry experience in infrastructure design, distributed systems, performance optimization, and networks. He has worked in big data domain for the last 5 years and provides consultancy and training on various technologies. He has worked with companies such as HP, JP Morgan, and Yahoo. He has authored Monitoring Hadoop by Packt Publishing

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