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HBase High Performance Cookbook

You're reading from   HBase High Performance Cookbook Solutions for optimization, scaling and performance tuning

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Product type Paperback
Published in Jan 2017
Publisher Packt
ISBN-13 9781783983063
Length 350 pages
Edition 1st Edition
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Author (1):
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Ruchir Choudhry Ruchir Choudhry
Author Profile Icon Ruchir Choudhry
Ruchir Choudhry
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Table of Contents (13) Chapters Close

Preface 1. Configuring HBase 2. Loading Data from Various DBs FREE CHAPTER 3. Working with Large Distributed Systems Part I 4. Working with Large Distributed Systems Part II 5. Working with Scalable Structure of tables 6. HBase Clients 7. Large-Scale MapReduce 8. HBase Performance Tuning 9. Performing Advanced Tasks on HBase 10. Optimizing Hbase for Cloud 11. Case Study Index

Monitoring Hbase with Ganglia

The Ganglia open source project is a scalable distributed system designed to monitor clusters and grids while minimizing the impact on their performance. When you enable Ganglia on your cluster, you can generate reports and view the performance of the cluster as a whole, as well as inspect the performance of individual node instances.

For more information about the Ganglia open source project, go to http://ganglia.info/. For more information about using Ganglia with Amazon EMR clusters, see the Monitor Performance with Ganglia recipe.

You configure Ganglia for HBase using the configure-hbase-for-ganglia bootstrap action. This bootstrap action configures HBase to publish metrics to Ganglia.

Note

You must configure HBase and Ganglia when you launch the cluster; Ganglia reporting cannot be added to a running cluster. Once the cluster is launched with Ganglia reporting configured, you can access Ganglia graphs and reports using the graphical interface running on the...

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