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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

Queuing mappings in Capacity Scheduler


In this recipe, we will be configuring users who can submit jobs to the queue and can also set rule for various job submissions.

Let's look at another use case where, if user hadoop submits a job, it should go to the prod queue and if any other users submits a job, it must go to dev queue. How can we set up something like this?

Getting ready

Make sure that the user has a running cluster with HDFS and YARN configured. It's best to have gone through at least the previous recipe.

How to do it...

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

  2. Edit the capacity-scheduler.xml allocation file as shown next:

    <property>
        <name>yarn.scheduler.capacity.queue-mappings</name>
        <value>u:d1:dev,g:group1:default,u:hadoop:prod</value>
    </property>
  3. Make the preceding changes and copy the file across all nodes and restart the YARN daemons.

  4. Whenever the d1 user submits a job, it should go to the dev queue and for user...

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