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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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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

HDFS balancer


In a long-running cluster, there might be unequal distribution of data across Datanodes. This could be due to failures of nodes or the addition of nodes to the cluster.

To make sure that the data is equally distributed across Datanodes, it is important to use Hadoop balancer to redistribute the blocks.

Getting ready

For this recipe, you will again use the same node on which we have already configured Namenode.

All operations will be done by user hadoop.

How to do it...

  1. Log in the nn1.cluster1.com node and change to user hadoop.

  2. Execute the balancer command as shown in the following screenshot:

  3. By default, the balancer threshold is set to 10%, but we can change it, as shown in the following screenshot:

How it works...

The balancer threshold defines the percentage of cluster disk space utilized, compared to the nodes in the cluster. For example, let's say we have 10 Datanodes in the cluster, with each having 100 GB of disk storage totaling to about 1 TB.

So, when we say the threshold is...

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