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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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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

Backing up and recovering Namenode


In this recipe, we will look at how to backup and restore Namenode. As discussed previously, the importance of backup, despite having high availability, will cover some ways to restore the backup. The backup could be as simple as just a copy of the metadata to the other system and then copying it back on the new node and starting the Namenode process or using the import command to point to the backup location and executing the command to copy the contents to the right location with the right permissions.

Getting ready

For this recipe, you will again need a running cluster with HDFS configured in the cluster. Readers are recommended to read the previous recipes in this chapter to understand this recipe better.

How to do it...

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

  2. For backup, copy the contents of the directory pointed by dfs.namenode.name.dir to any other location, preferably outside the system. This could be doing a simple scp...

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