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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

Synthetic monitoring

Having covered both distributed database and database security cases, we thought you might need a good example on how to implement synthetic monitoring. This would help you have a clear overview of how your system is running. We provide you with one case here, as it is easily generalizable to cover all possible scenarios.

Case 5 – Synthetic monitoring

If you are interested in the synthetic monitoring feature we introduced in Chapter 4, Key Features and Use Cases – Focusing on Performance and Security, you can refer to the following sections for a complete guide to be able to test your own solution.

The deployment architecture

For our synthetic monitoring case, let's consider a scenario where you can deploy ShardingSphere-JDBC or ShardingSphere-Proxy alternatively. The underlying storage is PostgreSQL, with a database gateway, a default test strategy, and tracing visualization features. Figure 12.13 presents you with the example...

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