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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

Using HDFS Image Viewer


It is important to understand how metadata of the Namenode is stored and what changes to the filesystem have been rolled into fsimage file. The fsimage file and edits file cannot be viewed using a cat or vi editor, but needs specialized tools to do so.

Hadoop, by default, comes with utilities to view the fsimage file and edits file and, in this recipe, we will cover how to use these tools.

Getting ready

To step through the recipe in this section, we need a Hadoop cluster set up and running. The reader is encouraged to understand the Namenode metadata and its location.

How to do it...

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

  2. Confirm the location of the Namenode metadata by looking into hdfs-site.xml file. There will be something similar to the following, which points to the location of metadata. We will see in a later recipe how to check the value of any parameter, without opening the configuration files. To know the location of...

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