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Learning HBase

By : Shashwat Shriparv
Book Image

Learning HBase

By: Shashwat Shriparv

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Learning HBase
Shashwat Shriparv
Nov, 2014 | 326 pages
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Table of Contents (18 chapters)
Learning HBase
Learning HBase
Credits
Credits
About the Author
About the Author
Acknowledgments
Acknowledgments
About the Reviewers
About the Reviewers
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
Understanding the HBase Ecosystem
Understanding the HBase Ecosystem
HBase layout on top of Hadoop
Comparing architectural differences between RDBMs and HBase
HBase features
HBase in the Hadoop ecosystem
Comparing functional differences between RDBMs and HBase
About the internal storage architecture of HBase
Getting started with HBase
Applications of HBase
HBase pros and cons
Summary
2
Let's Begin with HBase
Let's Begin with HBase
Understanding HBase components in detail
Reading and writing cycle
HBase housekeeping
The HBase delete request
List of available HBase distributions
Prerequisites and capacity planning for HBase
Summary
3
Let's Start Building It
Let's Start Building It
Downloading Java on Ubuntu
Considering host configurations
Installing and configuring SSH
Installing and configuring NTP
Performing capacity planning
Installing and configuring Hadoop
Hadoop start up steps
Configuring Apache HBase
Installing and configuring ZooKeeper
Installing Cloudera Hadoop and HBase
Installing the Hadoop and MapReduce packages
Installing Hadoop on Windows
Summary
4
Optimizing the HBase/Hadoop Cluster
Optimizing the HBase/Hadoop Cluster
Setup types for Hadoop and HBase clusters
Recommendations for CDH cluster configuration
Capacity planning
Hadoop optimization
Optimizing HBase
Optimizing ZooKeeper
Important files in Hadoop
Important files in HBase
Summary
5
The Storage, Structure Layout, and Data Model of HBase
The Storage, Structure Layout, and Data Model of HBase
Data types in HBase
Storing data in HBase – logical view versus actual physical view
Services of HBase
Data model operations
Versioning and why
Deciding the number of the version
Schema designing
Calculating the data size stored in HBase
Summary
6
HBase Cluster Maintenance and Troubleshooting
HBase Cluster Maintenance and Troubleshooting
Hadoop shell commands
HBase shell commands
HBase administration tools
Writing HBase shell scripts
Using the Hadoop tool or JARs for HBase
Connecting HBase with Hive
HBase region management
HBase node management
Implementing security
Troubleshooting the most frequent HBase errors and their explanations
Summary
7
Scripting in HBase
Scripting in HBase
HBase backup and restore techniques
HBase on Windows
Scripting in HBase
Contributing to HBase
Summary
8
Coding HBase in Java
Coding HBase in Java
Setting up the environment for development
Data types
Data model Java operations
HBase filters
Client APIs
Summary
9
Advance Coding in Java for HBase
Advance Coding in Java for HBase
Interfaces, classes, and exceptions
Code related to administrative tasks
Data operation code
MapReduce and HBase
RESTful services and Thrift services interface
Coding for HDFS operations
Some advance topics in brief
Summary
10
HBase Use Cases
HBase Use Cases
HBase in industry today
The future of HBase against relational databases
Some real-world project examples' use cases
Useful links and references
Summary
Index
Index

Summary

In this chapter, we discussed various data operation coding using Java, different REST and Thrift services and how to use them, MapReduce in HBase, and a sample code. We learned a bit about coprocessors; bloom filters, interfaces, classes, and the exceptions provided by HBase in its packages. In the next chapter, we will discuss use cases using HBase in industry, and the architecture of these use cases.

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