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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
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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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Toc

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

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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