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Mastering Hadoop

You're reading from   Mastering Hadoop Go beyond the basics and master the next generation of Hadoop data processing platforms

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Product type Paperback
Published in Dec 2014
Publisher
ISBN-13 9781783983643
Length 374 pages
Edition 1st Edition
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Author (1):
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Sandeep Karanth Sandeep Karanth
Author Profile Icon Sandeep Karanth
Sandeep Karanth
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Table of Contents (15) Chapters Close

Preface 1. Hadoop 2.X FREE CHAPTER 2. Advanced MapReduce 3. Advanced Pig 4. Advanced Hive 5. Serialization and Hadoop I/O 6. YARN – Bringing Other Paradigms to Hadoop 7. Storm on YARN – Low Latency Processing in Hadoop 8. Hadoop on the Cloud 9. HDFS Replacements 10. HDFS Federation 11. Hadoop Security 12. Analytics Using Hadoop A. Hadoop for Microsoft Windows Index

Developing YARN applications


YARN can bring in other computing paradigms to Hadoop. In Hadoop 2.X, MapReduce, Pig, and Hive are all Application Master libraries and their corresponding clients. Developers can write their own applications using the YARN API and leverage the existing infrastructure running Hadoop. Also, enterprises can have lots of data assets in HDFS already, and writing custom applications can leverage this without a need to provision new clusters or migrate the existing data.

Storm is a real-time stream-processing engine that has been ported onto YARN, bringing in the paradigm of moving data to compute nodes. Spark is another project that is on YARN and can leverage the existing Hadoop infrastructure to provide in-memory data transformations, including MapReduce. There are a number of projects in development that exhibit Hadoop's capability as a generic cluster-computing platform.

In this section, let's look at how to write a simple YARN application. The application takes...

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