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Mastering Hadoop 3

You're reading from  Mastering Hadoop 3

Product type Book
Published in Feb 2019
Publisher Packt
ISBN-13 9781788620444
Pages 544 pages
Edition 1st Edition
Languages
Authors (2):
Chanchal Singh Chanchal Singh
Profile icon Chanchal Singh
Manish Kumar Manish Kumar
Profile icon Manish Kumar
View More author details
Toc

Table of Contents (23) Chapters close

Title Page
Dedication
About Packt
Foreword
Contributors
Preface
1. Journey to Hadoop 3 2. Deep Dive into the Hadoop Distributed File System 3. YARN Resource Management in Hadoop 4. Internals of MapReduce 5. SQL on Hadoop 6. Real-Time Processing Engines 7. Widely Used Hadoop Ecosystem Components 8. Designing Applications in Hadoop 9. Real-Time Stream Processing in Hadoop 10. Machine Learning in Hadoop 11. Hadoop in the Cloud 12. Hadoop Cluster Profiling 13. Who Can Do What in Hadoop 14. Network and Data Security 15. Monitoring Hadoop 1. Other Books You May Enjoy Index

Docker containers in YARN


Docker has been widely used as a light weighted container for various applications. YARN is now widely used as a resource manager for diverse applications and it uses Linux to launch containers. YARN has added support for Docker containerization. The Docker image can be specified to run the YARN container and the Docker container has custom libraries to run the application.

 

 

The Docker environment is completely different from those of a Node Manager. The user does not need to worry about additional software or modules required to run the application and can focus on running and fine tuning the application. Different versions of the same application can be run in parallel and they will be completely isolated from one another.

The ContainerExecutor abstraction provides four implementations that are responsible for providing the resources required for running the application, setting up the environment, and managing the life cycle of containers, which are as follows...

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