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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

Setting up Namenode metadata location


The most critical component of Hadoop is Namenode, and it is important to safeguard the information it stores. It stores metadata, which is a combination of namespace and inode structure.

All the steps are to be performed as the hadoop user. It is expected that the user has gone through Chapter 1, Hadoop Architecture and Deployment and understands the uses and function of Namenode.

Getting ready

You are going to need a preinstalled Hadoop as discussed in Chapter 1, Hadoop Architecture and Deployment. In the following recipes, we will configure the parameters for a copy of Hadoop that is already installed.

How to do it...

  1. ssh to the Namenode, which in this case is nn1.cluster1.com.

  2. Navigate to the /opt/cluster/hadoop/etc/hadoop directory. This is the directory where we installed Hadoop in the first chapter. If the user has installed it at a different location, then navigate to this directory.

  3. Configure the dfs.namenode.name.dir parameter, which defines the...

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