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Mastering Hadoop 3

You're reading from   Mastering Hadoop 3 Big data processing at scale to unlock unique business insights

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Product type Paperback
Published in Feb 2019
Publisher Packt
ISBN-13 9781788620444
Length 544 pages
Edition 1st Edition
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Authors (3):
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Timothy Wong Timothy Wong
Author Profile Icon Timothy Wong
Timothy Wong
Manish Kumar Manish Kumar
Author Profile Icon Manish Kumar
Manish Kumar
Chanchal Singh Chanchal Singh
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Chanchal Singh
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Toc

Table of Contents (21) Chapters Close

Preface 1. Section 1: Introduction to Hadoop 3 FREE CHAPTER
2. Journey to Hadoop 3 3. Deep Dive into the Hadoop Distributed File System 4. YARN Resource Management in Hadoop 5. Internals of MapReduce 6. Section 2: Hadoop Ecosystem
7. SQL on Hadoop 8. Real-Time Processing Engines 9. Widely Used Hadoop Ecosystem Components 10. Section 3: Hadoop in the Real World
11. Designing Applications in Hadoop 12. Real-Time Stream Processing in Hadoop 13. Machine Learning in Hadoop 14. Hadoop in the Cloud 15. Hadoop Cluster Profiling 16. Section 4: Securing Hadoop
17. Who Can Do What in Hadoop 18. Network and Data Security 19. Monitoring Hadoop 20. Other Books You May Enjoy

Capacity scheduler

The capacity scheduler makes sure that users get the guaranteed minimum amount of configured resources in the YARN cluster. The use of the Hadoop cluster increases with the use cases in the organization and it is very unlikely that organization creates separate Hadoop clusters for each use case because this will increase maintenance. One use case may be that different users in the same organization want to have a certain amount of resources reserved when they want to execute their tasks. The capacity scheduler helps in sharing the cluster resources in a cost-effective manner across different users in the same organization to meet the SLA by ensuring no other user uses resources configured for some other user in the cluster. In short, the cluster resources are shared across multiple user groups.
The capacity scheduler works on the concept of queues. A cluster...

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