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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

Nodes needed in the cluster

In this recipe, we will look at the number of nodes needed in the cluster based upon the storage requirements.

From the initial Disk space calculations recipe, we estimated that we need about 2 PB of storage for our cluster. In this recipe, we will estimate the number of nodes required for running a stable Hadoop cluster.

Getting ready

To step through the recipe, the user needs to have understood the Hadoop cluster daemons and their roles. It is recommended to have a cluster running with healthy HDFS and at least two Datanodes.

How to do it...

  1. Connect to the master1.cyrus.com master node in the cluster and switch to the user hadoop.
  2. Execute the command as shown here to see the Datanodes available and the disk space on each node:
    $ hdfs dfsadmin -report
  3. From the preceding command, we can tell the storage available per node, but we cannot tell the number of disks that make up that storage. Refer to the following screenshot for details:
    How to do it...
  4. Login to a Datanode dn6.cyrus.com...
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