Book Image

A Definitive Guide to Apache ShardingSphere

By : Trista Pan, Zhang Liang, Yacine Si Tayeb
Book Image

A Definitive Guide to Apache ShardingSphere

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)
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

With the increasing dependence on digital services and infrastructure, the demand for data storage and business data processing capability put forward by enterprises is growing faster than ever.

In particular, surging visits to websites and apps coinciding with public holidays or impromptu marketing campaigns could compromise system performance or even completely crash systems.

Full-link stress testing can help simulate visits and simulate system execution at peak times in advance. This allows the estimation of system capacity and easily coping with visit peaks in real situations. By joining efforts, the three top open source communities (Apache APISIX, Apache ShardingSphere, and Apache SkyWalking) created CyborgFlow, a full-link stress testing solution for production.

In this section, we will introduce you to how ShardingSphere can distribute traffic to the production database and stress testing database, helping enterprises gain a clear picture of...