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A Definitive Guide to Apache ShardingSphere

You're reading from   A Definitive Guide to Apache ShardingSphere Transform any DBMS into a distributed database with sharding, scaling, encryption features, and more

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Product type Paperback
Published in Jul 2022
Publisher Packt
ISBN-13 9781803239422
Length 466 pages
Edition 1st Edition
Concepts
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Authors (3):
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Trista Pan Trista Pan
Author Profile Icon Trista Pan
Trista Pan
Zhang Liang Zhang Liang
Author Profile Icon Zhang Liang
Zhang Liang
Yacine Si Tayeb Yacine Si Tayeb
Author Profile Icon Yacine Si Tayeb
Yacine Si Tayeb
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Table of Contents (18) Chapters Close

Preface 1. Section 1: Introducing Apache ShardingSphere
2. Chapter 1: The Evolution of DBMSs, DBAs, and the Role of Apache ShardingSphere FREE CHAPTER 3. Chapter 2: Architectural Overview of Apache ShardingSphere 4. Section 2: Apache ShardingSphere Architecture, Installation, and Configuration
5. Chapter 3: Key Features and Use Cases – Your Distributed Database Essentials 6. Chapter 4: Key Features and Use Cases – Focusing on Performance and Security 7. Chapter 5: Exploring ShardingSphere Adaptors 8. Chapter 6: ShardingSphere-Proxy Installation and Startup 9. Chapter 7: ShardingSphere-JDBC Installation and Start-Up 10. Section 3: Apache ShardingSphere Real-World Examples, Performance, and Scenario Tests
11. Chapter 8: Apache ShardingSphere Advanced Usage – Database Plus and Plugin Platform 12. Chapter 9: Baseline and Performance Test System Introduction 13. Chapter 10: Testing Frequently Encountered Application Scenarios 14. Chapter 11: Exploring the Best Use Cases for ShardingSphere 15. Chapter 12: Applying Theory to Practical Real-World Examples 16. Other Books You May Enjoy Appendix: and the Evolution of the Apache ShardingSphere Open Source Community

The SQL-based load-balancing layer

The network load-balancer layer is now mature enough, as it can distribute and process requests via protocol header identification, weight calculation, and current limiting. Nevertheless, the industry currently still lacks a load-balancer layer suitable for SQL.

Currently, there isn't a load-balancing layer that can understand SQL, which means that a lack of SQL interpretation causes unsatisfactory granularity of request dispatching in any database system. Developing a Smart SQL Load Balancer (LB) solution capable of understanding SQL is the best solution to supplement the database load-balancer layer.

In addition to common load-balancer features such as high performance, traffic governance, service discovery (SD), and high availability (HA), Smart SQL LB also has the capability to parse SQL and calculate query costs.

When it really understands SQL characteristics and query costs, its next move is to label computing nodes and even...

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