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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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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

Job queue ACLs


In YARN, whenever a job is submitted, it is submitted either to a specified queue or default queue. This behavior has been explored in the last recipe. In this recipe, we will configure ACLs to block users from submitting jobs to other queues.

Getting ready

In order to get started, you will need a running cluster with HDFS and YARN set up properly and an understanding of the last recipe.

Note

This feature is not yet production ready and is scheduled to be a standard feature in Hadoop 2.9.0, but users can still play with it and test it. Users will not see much improvement for small jobs with very few jars or common code.

How to do it...

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

  2. Execute the command as shown next in the picture to see the queue ACLs. By default, users can see that d1 has administrative and submit rights to all the queues:

  3. Edit the fair-scheduler.xml allocation file as shown next. Note the users specified for the specific queues (within the...

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