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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
Tools
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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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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

Namenode roll edits – online mode


In this recipe, we will take a look at how to roll edits and keep the size of the metadata to a minimum. Over a period of time, the number of edits files grow and also the Namenode keeps old versions of fsimage file. In a large busy cluster, the edits files could be large, with each of about 1 GB.

This will utilize disk space on Namenode and can cause disk issues in the longer run of the cluster. Also, if the Secondary Namenode is not configured or is not working correctly, these edits files will be in large numbers, with each file of approximately 1 million transactions. Due to this, the Namenode start time will increase and Namenode might not even start if the memory is not sufficient to do the checkpoint operation.

Getting ready

For this recipe, make sure that you have completed the recipe on Hadoop cluster setup, Chapter 1, Hadoop Architecture and Deployment, and have at least HDFS running for a few hour with some data on HDFS.

How to do it...

  1. Connect to...

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