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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

Automatic NameNode failover


Now that we have introduced ZooKeeper, we can show how it is used to enable automatic NameNode failover.

Automatic NameNode failover introduces two new components to the system, a ZooKeeper quorum, and the ZooKeeper Failover Controller (ZKFC), which runs on each NameNode host. The ZKFC creates an ephemeral ZNode in ZooKeeper and holds this ZNode for as long as it detects the local NameNode to be alive and functioning correctly. It determines this by continuously sending simple health-check requests to the NameNode, and if the NameNode fails to respond correctly over a short period of time the ZKFC will assume the NameNode has failed. If a NameNode machine crashes or otherwise fails, the ZKFC session in ZooKeeper will be closed and the ephemeral ZNode will also be automatically removed.

The ZKFC processes are also monitoring the ZNodes of the other NameNodes in the cluster. If the ZKFC on the standby NameNode host sees the existing master ZNode disappear, it will...

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