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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 FREE CHAPTER 2. Storage 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

Apache ZooKeeper – a different type of filesystem


Within Hadoop, we will mostly talk about HDFS when discussing filesystems and data storage. But, inside almost all Hadoop 2 installations, there is another service that looks somewhat like a filesystem, but which provides significant capability crucial to the proper functioning of distributed systems. This service is Apache ZooKeeper (http://zookeeper.apache.org) and, as it is a key part of the implementation of HDFS HA, we will introduce it in this chapter. It is, however, also used by multiple other Hadoop components and related projects, so we will touch on it several more times throughout the book.

ZooKeeper started out as a subcomponent of HBase and was used to enable several operational capabilities of the service. When any complex distributed system is built, there are a series of activities that are almost always required and which are always difficult to get right. These activities include things such as handling shared locks, detecting...

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