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

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...