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A Definitive Guide to Apache ShardingSphere

A Definitive Guide to Apache ShardingSphere

By : Trista Pan , Zhang Liang, Yacine Si Tayeb
4.8 (8)
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A Definitive Guide to Apache ShardingSphere

A Definitive Guide to Apache ShardingSphere

4.8 (8)
By: Trista Pan , Zhang Liang, Yacine Si Tayeb

Overview of this book

Apache ShardingSphere is a new open source ecosystem for distributed data infrastructures based on pluggability and cloud-native principles that helps enhance your database. This book begins with a quick overview of the main challenges faced by database management systems (DBMSs) in production environments, followed by a brief introduction to the software's kernel concept. After that, using real-world examples of distributed database solutions, elastic scaling, DistSQL, synthetic monitoring, database gateways, and SQL authority and user authentication, you’ll fully understand ShardingSphere's architectural components, how they’re configured and can be plugged into your existing infrastructure, and how to manage your data and applications. You’ll also explore ShardingSphere-JDBC and ShardingSphere-Proxy, the ecosystem’s clients, and how they can work either concurrently or independently to address your needs. You’ll then learn how to customize the plugin platform to define personalized user strategies and manage multiple configurations seamlessly. Finally, the book enables you to get up and running with functional and performance tests for all scenarios. By the end of this book, you’ll be able to build and deploy a customized version of ShardingSphere, addressing the key pain points encountered in your data management infrastructure.
Table of Contents (18 chapters)
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1
Section 1: Introducing Apache ShardingSphere
4
Section 2: Apache ShardingSphere Architecture, Installation, and Configuration
10
Section 3: Apache ShardingSphere Real-World Examples, Performance, and Scenario Tests

Distributed database solutions

In the context of the current internet era, business data is growing at a very high pace. Faced with storage and access to massive amounts of data, the traditional relational database solution of single-node storage is experiencing significant challenges. It is difficult to meet massive data in terms of its performance, availability, operation, and maintenance cost:

  • Performance: Relational databases mostly use B+ tree indexes. When the amount of data is too large, the increase in the index depth will increase the amount of disk access I/O, resulting in the decline of query performance.
  • Availability: As application services are stateless, they can realize low-cost local capacity expansion making the database become the bottleneck of the whole system.It has become increasingly difficult for traditional single data nodes or primary-secondary architectures to bear the pressure of the whole system. For these reasons, databases' availability...

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