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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
Tools
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Author (1):
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 Karanth Karanth
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Karanth
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Table of Contents (21) Chapters Close

Mastering Hadoop
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
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 Hadoop for Microsoft Windows Index

Chapter 10. HDFS Federation

The NameNode component of HDFS was the central point of failure in the initial versions of Hadoop. In the later versions, a secondary NameNode was introduced as a backup for the primary NameNode. Until Hadoop 2.X, the NameNode component could only handle a single namespace, making it less scalable and difficult to isolate in a multitenant HDFS environment. Scalability and isolation were the two most desired requirements for Hadoop enterprise deployments. Most organizations shared infrastructure among their different teams with varying degrees of availability and authorization aspirations.

HDFS Federation is a feature that enables Hadoop to have multiple namespaces, making it easy to use for shared cluster scenarios. This feature brings about a separation between the storage and namespace management. Similar to YARN, this separation helps onboard other applications and use cases on to HDFS, making Hadoop move away from a MapReduce-only platform to a more generic...

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