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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

About the internal storage architecture of HBase

The following figure shows the principle algorithm and data structure HBase works on, that is, LSM-tree, and the way of merging, and precedes the explanation:

About the internal storage architecture of HBase

HBase stores file using LSM-tree, which maintains data in two separate parts that are optimized for underlying storage. This type of data structure depends on two structures, a current and smaller one in memory and a bigger one on the persistent disk, and once the part in memory becomes bigger than a certain limit, it is merged with the bigger structure that is stored on the disk using a merge sort algorithm and a new in-memory tree is created for newer insert requests. It transforms random data access into sequential data access, which improves read performance, and merging is a background process, which does not affect the foreground processing.

You have been reading a chapter from
Learning Hbase
Published in: Nov 2014
Publisher:
ISBN-13: 9781783985944
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