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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

Disk space calculations

In this recipe, we will calculate the disk storage needed for the Hadoop cluster. Once we know what our storage requirement is, we can plan the number of nodes in the cluster and narrow down on the hardware options we have.

The intent of this recipe is not to tune performance, but to plan for capacity. Users are encouraged to read Chapter 9, HBase Administration on optimizing the Hadoop cluster.

Getting ready

To step through the recipe in this section, we need a Hadoop cluster set up and running. We need at least the HDFS configured correctly. It is recommended to complete the first two chapters before starting with this recipe.

How to do it...

  1. Connect to the master1.cyrus.com master node in the cluster and switch to the user hadoop.
  2. On the master node, execute the following command:
    $ hdfs dfsadmin -report
    

    This command will give you an understanding about how the storage in the cluster is represented. The total cluster storage is a summation of storages from each of the...

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