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Learning Hadoop 2

You're reading from   Learning Hadoop 2 Design and implement data processing, lifecycle management, and analytic workflows with the cutting-edge toolbox of Hadoop 2

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Product type Paperback
Published in Feb 2015
Publisher Packt
ISBN-13 9781783285518
Length 382 pages
Edition 1st Edition
Tools
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Toc

Table of Contents (13) Chapters Close

Preface 1. Introduction 2. Storage FREE CHAPTER 3. Processing – MapReduce and Beyond 4. Real-time Computation with Samza 5. Iterative Computation with Spark 6. Data Analysis with Apache Pig 7. Hadoop and SQL 8. Data Lifecycle Management 9. Making Development Easier 10. Running a Hadoop Cluster 11. Where to Go Next Index

Operations in the Hadoop 2 world


As mentioned in Chapter 2, Storage, some of the most significant changes made to HDFS in Hadoop 2 involve its fault tolerance and better integration with external systems. This is not just a curiosity, but the NameNode High Availability features, in particular, have made a massive difference in the management of clusters since Hadoop 1. In the bad old days of 2012 or so, a significant part of the operational preparedness of a Hadoop cluster was built around mitigations for, and restoration processes around failure of the NameNode. If the NameNode died in Hadoop 1, and you didn't have a backup of the HDFS fsimage metadata file, then you basically lost access to all your data. If the metadata was permanently lost, then so was the data.

Hadoop 2 has added the in-built NameNode HA and the machinery to make it work. In addition, there are components such as the NFS gateway into HDFS, which make it a much more flexible system. But this additional capability does...

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