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Learning Hbase

You're reading from   Learning Hbase Learn the fundamentals of HBase administration and development with the help of real-time scenarios

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Product type Paperback
Published in Nov 2014
Publisher
ISBN-13 9781783985944
Length 326 pages
Edition 1st Edition
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Author (1):
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Shashwat Shriparv Shashwat Shriparv
Author Profile Icon Shashwat Shriparv
Shashwat Shriparv
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Table of Contents (12) Chapters Close

Preface 1. Understanding the HBase Ecosystem FREE CHAPTER 2. Let's Begin with HBase 3. Let's Start Building It 4. Optimizing the HBase/Hadoop Cluster 5. The Storage, Structure Layout, and Data Model of HBase 6. HBase Cluster Maintenance and Troubleshooting 7. Scripting in HBase 8. Coding HBase in Java 9. Advance Coding in Java for HBase 10. HBase Use Cases Index

Schema designing


HBase does not support any kind of joins, but it provides the single-indexing strategy on the row key. HBase schema design supports denormalization with nested entities. These nested entities are nothing but a column whose name is the unique identifier for the nested entity and whose value is the entire record mashed together. Since HBase allows dynamic column definition, there's no problem. Here's a great way to scale your joins. Additionally, with column families, large rows can be partitioned to small data chunks that can be read individually from a disk.

Schema or table design must be done at the initial phase, and we can add or remove columns on the fly, but we need to design our RowKey of table and column families at the initial schema design phase.

Some points that we might consider while designing a schema are as follows:

  • The row key is a very important aspect of schema design to consider. Row keys are indexed and provides the O(1) operation, which provides constant...

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