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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 2. HDFS and MapReduce FREE CHAPTER 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

Chapter 4. Exploring HDFS Federation and Its High Availability

You are now ready to set up a Hadoop cluster using CDH5. Once you have a cluster up and running, you are now responsible for managing it and making sure the cluster is available all the time. In this chapter, we will cover some techniques to manage HDFS efficiently and also handle the single point of failure in a Hadoop cluster. In this chapter, we will cover the following topics:

  • Configuring HDFS Federation
  • HDFS high availability using Quorum-based storage and storage using Network File System (NFS)
  • Jobtracker high availability

The heart of HDFS is the namenode. The namenode manages the locations of all data blocks in the cluster. To serve requests faster, the namenode manages all its information in memory. For small clusters, the information stored is lightweight and in most cases, a decent amount of RAM is enough to handle all the information required to maintain a cluster. However, when the number of datanodes increases...

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