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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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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

Opportunistic containers in Hadoop 3.x

Containers are allocated to nodes by the scheduler only when there is sufficient unallocated resources at a node. YARN guarantees that once the application master dispatches a container to a node, the execution will immediately start. The execution of a container will only be completed if there is no violation of fairness or capacity, which means until some other containers ask for preemption of resources from the node, the container is guaranteed to run to completion.

The current container execution design allows an efficient task execution but it has two primary limitations, which are as follows:

  • Heartbeat delay: The Node Manager at regular intervals sends heartbeats to its resource manager and the heartbeat request also contains the resource metrics of a Node Manager. If any container running on a Node Manager finishes its execution...
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