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Cloudera Administration Handbook

You're reading from   Cloudera Administration Handbook A complete, hands-on guide to building and maintaining large Apache Hadoop clusters using Cloudera Manager and CDH5

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Product type Paperback
Published in Jul 2014
Publisher Packt
ISBN-13 9781783558964
Length 254 pages
Edition 1st Edition
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Author (1):
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Rohit Menon Rohit Menon
Author Profile Icon Rohit Menon
Rohit Menon
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Table of Contents (11) Chapters Close

Preface 1. Getting Started with Apache Hadoop FREE CHAPTER 2. HDFS and MapReduce 3. Cloudera's Distribution Including Apache Hadoop 4. Exploring HDFS Federation and Its High Availability 5. Using Cloudera Manager 6. Implementing Security Using Kerberos 7. Managing an Apache Hadoop Cluster 8. Cluster Monitoring Using Events and Alerts 9. Configuring Backups Index

Implementing HDFS Federation

HDFS Federation is a technique of splitting up the filesystem namespace into multiple parts. Each part will be managed by an individual namenode, resulting in multiple namenodes.

In the following diagram, you will see two namenodes, Namenode-1 (NN1) and Namenode-2 (NN2).

Implementing HDFS Federation

Each namenode manages a namespace volume that consists of the namespace metadata and block pool information. The namespace metadata contains the location information of the files present in HDFS. A block pool is a collection of data blocks that belong to a single namespace in a Hadoop cluster.

Both these namenodes have the same set of datanodes in the cluster. The datanodes store blocks for each of the namenodes. However, the two namenodes do not communicate with each other. In the preceding diagram, you see only two namenodes; however, in production environments, you may have more than two namenodes.

With such architecture in place, it is possible to scale the cluster to a large number of nodes...

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