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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 CloudWatch

Cloud watch provides and extensive way of monitoring the Hbase/Hadoop nodes in various ways as listed here:

  • Cluster status
  • Node status
  • I/O
  • Hbase

Let's discuss Cluster status—it provides the following areas to look at:

Is Idle, Container allocated—container reserved, container pending, apps completed.

Apps failed, apps killed, apps pending, apps running, apps submitted. We will go over one area for explanation.

Monitoring HBase with CloudWatch

By double-clicking, a child window is popped up (overlay), which provides details as follows. You can explicitly get the detail by customizing the graph based on hours, days, or mins ago; the graph pulls the data accordingly.

Monitoring HBase with CloudWatch

Node status provides details of the following:

  • Core Nodes running /pending: As we have two nodes the graph is marked at 2
  • Live data nodes: The data node is fully live hence we see the 100 percentage
  • Map Reduce total nodes: The total MR node us 2 hence its showing 2
  • MR Active nodes: The total active MR nodes are 2 hence...
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