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Hadoop 2.x Administration Cookbook

You're reading from   Hadoop 2.x Administration Cookbook Administer and maintain large Apache Hadoop clusters

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781787126732
Length 348 pages
Edition 1st Edition
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Author (1):
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Aman Singh Aman Singh
Author Profile Icon Aman Singh
Aman Singh
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Toc

Table of Contents (14) Chapters Close

Preface 1. Hadoop Architecture and Deployment FREE CHAPTER 2. Maintaining Hadoop Cluster HDFS 3. Maintaining Hadoop Cluster – YARN and MapReduce 4. High Availability 5. Schedulers 6. Backup and Recovery 7. Data Ingestion and Workflow 8. Performance Tuning 9. HBase Administration 10. Cluster Planning 11. Troubleshooting, Diagnostics, and Best Practices 12. Security Index

Configuring Secondary Namenode


In this recipe, we will be configuring Secondary Namenode, which is a checkpointing node. In the very first recipe of this chapter, we say that it is critical to manage metadata and keep it clean as often as possible.

The Secondary Namenode can have multiple roles such as backup node, checkpointing node, and so on. The most common is the checkpointing node, which pulls the metadata from Namenode and also does merging of the fsimage and edits logs, which is called the check pointing process and pushes the rolled copy back to the Primary Namenode.

Getting ready

Make sure that the user has a running cluster with HDFS and has one more node to be used as Secondary. The master2 node, from the Namenode HA using shared storage recipe in Chapter 4, High Availability can be used as a Secondary Namenode or Secondary Namenode can co-exist with the Primary Namenode.

When running Namenode HA, there is no need to run Secondary Namenode, as the standby Namenode will do the job...

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