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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

Quota configuration


In a multitenancy cluster, it is important to control the utilization both in terms of HDFS space, memory, and CPU utilization. In this recipe, we will be looking at how we can restrict a user or a project from using more than the allotted HDFS space.

Getting ready

Make sure that there is a running cluster, and that the user is already well versed in the recipes that we have looked at so far.

How to do it...

  1. Connect to Namenode and change the user to hadoop.

  2. Create a directory named projects on HDFS, as shown in the following screenshot:

  3. By default, there is no quota configured on any directory.

  4. To see what options can be set on the projects directory, use the following command:

    $ hadoop fs -count -q /projects
  5. The two leftmost fields show the namespace and disk space quota, which currently is not set, as shown in the following screenshot:

  6. To set the namespace quota, which will define how many inodes can be allocated for this projects directory, enter the following code. Inodes...

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