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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
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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

Introduction


In this chapter, we will configure YARN schedulers and job queues so that multiple users can use the cluster at the same time and make a legitimate use of the resources provided to them. There are two approaches: either setup a separate cluster for different business units or share the clusters.

The first approach is fine if there are a few clusters, but managing a large number of clusters is challenging. A better approach is to build multitenancy clusters, which can support different users with varied use cases.

Note

If users are finding it difficult to write scripts or configurations, all these are available at my GitHub at https://github.com/netxillon/hadoop.

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