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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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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 HDFS


In the previous few recipes, we tuned the operating system, disks, and network setting for the installation of Hadoop.

In this recipe, we will tune HDFS for best performance. As stated initially, the HDFS read/write performance on a node with a slow disk and resource constraints will be slower compared to a node having a faster disk, CPU, and RAM. Tuning is always a layered approach, tuning each layer in conjunction to come to a final result.

Getting ready

To complete the recipe, the user must have a running cluster with HDFS and YARN setup. Users can refer to Chapter 1, Hadoop Architecture and Deployment, on installation details.

The assumption here is that the user is well familiar with HDFS concepts and knows its layout. Please read the Tuning the disk recipe, as HDFS will be a pseudo-file system of a native EXT4 or XFS filesystem.

How to do it...

  1. Connect to the Namenode master1.cyrus.com and switch to user hadoop.

  2. Edit the file hdfs-site.xml and change the HDFS block size to be...

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