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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
Tools
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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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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

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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