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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

Fair Scheduler pools


In this recipe, we look at configuring Fair Scheduler with pools instead of queues. This is for backwards compatibility. In Hadoop 1.X, Fair Scheduler was addressed with pools and it means the same as queues.

It is recommended to use queues, as this is quite standard across the board. But, for the sake of the readers, it is good to cover the concepts of pools.

Getting ready

To go through the recipe, complete the previous recipe and just modify the fair-scheduler.xml file to reflect pools.

How to do it...

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

  2. Edit the allocation file fair-scheduler.xml, as shown in the following screenshot:

  3. Copy the fair-scheduler.xml file to all the nodes in the cluster and restart the YARN daemons.

  4. Check the ResourceManager page to confirm whether the pools are visible or not, as shown in the following screenshot:

  5. Submit a sample job such as wordcount as user hadoop and see the ResourceManager page, as shown in...

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