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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

Storing data in HBase – logical view versus actual physical view

At a conceptual level, an HBase table can be seen as a sparse set of rows, but in actual storage, it is stored as per a column family. While defining a table, columns can be added or specified on the run in a column family. We must decide the number and name of the column family at the time of table creation, but columns can be added as required at any point in time while storing the data, and this is the beauty of schema-free when we use HBase.

The following is the logical view of how data is stored in HBase, but in actual these are stored separately with column families:

Row keys

Time_Stamp

Column family 1 (CF1)

Column family 2 (CF2)

 

CF1:Col 1

CF1:Col 2

CF2:Col 3

CF2:Col4

CF2:Col 5

Row1

Time stamp 1

  

Value 3

Value 4

Value 5

Row2

Time stamp 2

Value 6

Value 7

Value 8

Value 9

Value 10

Row2

Time stamp 3

Value 11

Value 12

Value 13

  

So, in physical storage, this...

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