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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 (14) Chapters

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 Hadoop users

In this recipe, we will configure users to run Hadoop services so as to have better control of access by daemons.

In all the recipes so far, we have configured all services/daemons, whether it's HDFS, YARN, or Hive to run with user hadoop. This is not the right practice for production clusters as it would be difficult to control services in a fine and granular manner.

It is recommended to segregate services to run with different users, for example, HDFS daemons as hdfs:hadoop, YARN daemons as yarn:hadoop, and other services such as Hive or HBase with their own respective users.

Getting ready

To step through the recipe in this section, we need a Hadoop cluster already configured and it is assumed that users are aware about Hadoop installation and configuration. Refer to Chapter 1, Hadoop Architecture and Deployment for the installation and configuration of a Hadoop cluster. In this recipe, we are just separating daemons to run with different users, rather than them...

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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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