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

Read/write splitting

With the growth of business volume, many applications will encounter the bottleneck of database throughput. It is difficult for a single database to carry a large number of concurrent queries and modifications. At the time of writing, a database cluster with primary-secondary configuration has become an effective scheme. Primary-secondary configuration means that the primary database is responsible for transactional operations such as data writing, modification, and deletion, while the secondary database is responsible for the database architecture of query operations.

The database with the primary-secondary configuration can limit the row lock that's brought by write operations to the primary database and support a large number of queries through the secondary database, greatly improving the performance of the application. Additionally, the multi-primary and multi-secondary database configuration can be adopted to ensure that the system is still available...