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Learning YARN

You're reading from   Learning YARN Moving beyond MapReduce - learn resource management and big data processing using YARN

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Product type Paperback
Published in Aug 2015
Publisher
ISBN-13 9781784393960
Length 278 pages
Edition 1st Edition
Tools
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Toc

Table of Contents (14) Chapters Close

Preface 1. Starting with YARN Basics FREE CHAPTER 2. Setting up a Hadoop-YARN Cluster 3. Administering a Hadoop-YARN Cluster 4. Executing Applications Using YARN 5. Understanding YARN Life Cycle Management 6. Migrating from MRv1 to MRv2 7. Writing Your Own YARN Applications 8. Dive Deep into YARN Components 9. Exploring YARN REST Services 10. Scheduling YARN Applications 11. Enabling Security in YARN 12. Real-time Data Analytics Using YARN Index

An introduction to the YARN API


YARN is a Java framework that is packaged with the Hadoop bundle. YARN provides resource management, as well as easy integration of data processing or accessing algorithms for data stored in Hadoop HDFS. Apache Storm, Giraph, and HAMA are few examples of the data processing algorithms that use YARN for resource management. A detailed integration of such technologies is covered in Chapter 12, Real-time Data Analytics Using YARN.

The Hadoop-YARN API is defined in the org.apache.hadoop.yarn.api package. While writing your own YARN applications, you will use some of the classes from the YARN API. Before moving ahead, it is important to list the classes used and understand their role. This section will cover a few important classes defined in the org.apache.hadoop.yarn.api package.

YARNConfiguration

The YARNConfiguration class is defined in the org.apache.hadoop.yarn.conf package and it extends the org.apache.hadoop.conf.Configuration class. Similar to the Configuration...

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