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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

Hadoop Architecture and Deployment

Maintaining Hadoop Cluster HDFS

Maintaining Hadoop Cluster – YARN and MapReduce

High Availability

Schedulers

Backup and Recovery

Data Ingestion and Workflow

Performance Tuning

HBase Administration

Cluster Planning

Troubleshooting, Diagnostics, and Best Practices

Security

Index

Tuning the operating system

In Hadoop, we mostly use Linux-based operating systems, so the settings we talk about will be restricted to any Linux-based systems.

The first important thing to consider is making sure that the hardware is optimal with latest drivers for motherboard components and the right kind of memory modules with matching bus speed. The BIOS settings are tuned to be optimal like disable power saving mode, VT flag enabled, 64-bit architecture, the right cabling for disk enclosures (Just a bunk of disks (JBOD)). Multiple CPUs with at least a quad core per CPU socket and high bandwidth bonded interface cards. Racks with support for 1U or 2U servers, with rack top switches which can support network traffic from a large Hadoop cluster.

The hardware configuration will vary according to the Hadoop components like whether it is a Namenode, Datanode, HBase master, or region server. Also, whether the work load is I/O intensive or CPU intensive. There will always be a race between right...

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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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