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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

Data types in HBase


There are no fancy data types such as String, INT, or Long in HBase; it's all byte array. It's a kind of byte-in and byte-out database, wherein, when a value is inserted, it is converted into a byte array using the Put and Result interfaces. HBase implicitly converts the data to byte arrays through a serialization framework, stores it into the cell, and also gives out byte arrays. It implicitly converts data to equivalent representation while putting and getting the value.

So, in short, we can say that HBase cells only hold byte arrays. Put and Result methods handle encoding and decoding of objects.

Anything that can be converted into bytes, from a simple string to an image file, can be stored in HBase, but it too is converted into bytes and can then be stored (or as long as it's a serializable object). We can have values up to 10 to 15 MB stored in an HBase cell. If any value is bigger, we need not store it into HBase, what we can do is store the file on HDFS and then...

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