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Hadoop 2.x Administration Cookbook

You're reading from Hadoop 2.x Administration Cookbook

Product type Book

Published in May 2017

Publisher Packt

ISBN-13 9781787126732

Pages 348 pages

Edition 1st Edition

Languages

Concepts

System Administration

Author (1):

Aman Singh

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

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

Setting up single node HBase cluster

In this recipe, we will see how to set up an HBase single node cluster and its components. Apache HBase works on the basis of client server architecture with an HBase master and slaves known as region servers. The HBase master can be co-located with the Namenode, but it is recommended to run it on a dedicated node. The region servers will run on Datanodes.

In this recipe, we are just setting up a single node HBase cluster with the HBase master, a region server running on a single node with Namenode, and Datanode daemons.

Getting ready

Before going through the recipes in this chapter, make sure you have gone through the steps to install the Hadoop cluster with HDFS and YARN enabled. We need a single node for this recipe, so make sure you choose a node with decent configuration.

We are using a standalone ZooKeeper in this recipe or you can point it to the already configured ZooKeeper ensemble from the previous Hive with ZooKeeper recipe in Chapter 7, Data Ingestion...

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Authors (1)

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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