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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 (20) Chapters Close

Hadoop 2.x Administration Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
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 rack awareness


There will always be failures in clusters, such as hardware issues with servers, racks, switches, power supplies, and so on.

To make sure that there is no single point of failure across the entire Hadoop infrastructure, and to ensure that the contention of resources is in a distributed manner, rack awareness plays an important role. Rack awareness is a concept in which Namenode is made aware of the layout of servers in a cluster, thus making intelligent decisions on block placement.

Getting ready

For the following steps, we assume that the cluster that is up and running with Datanodes is in a healthy state. We will log in to the Namenode and make changes there.

How to do it...

  1. ssh to Namenode and edit the hdfs-site.xml file to add the following property to it:

    <property>
    <name>topology.script.file.name</name>
    <value>/opt/cluster/topology.sh</value>
    </property>
  2. Make sure that the topology.sh file is readable by the user hadoop.

  3. Create...

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