Rust and Databases: A Practical Guide

The book "Rust and Databases: A Practical Guide" is a comprehensive resource for developers who want to master working with relational databases in the Rust ecosystem. Unlike many languages, Rust requires a special approach to managing connections, transactions, and error handling — and this book will guide you through all the intricacies step by step.

Who is this book for?

• Rust developers who want to add database work to their toolkit
• Backend engineers transitioning to Rust from other languages (Python, Java, Go)
• Students and enthusiasts learning systems programming and databases
• Anyone who values Rust's performance and safety in real-world projects

What you will learn:

• Core principles of working with databases in Rust: connections, CRUD, transactions
• Comparison of popular ORMs and drivers: Diesel, SQLx, SeaORM, rusqlite
• Schema design and migrations from scratch
• Query optimization and connection pooling
• Asynchronous database work with Tokio and async-std
• Safe error handling and working with null values
• Integration with web frameworks: Actix-web, Axum, Rocket
• Testing code that works with databases
• Advanced topics: replication, sharding, production migrations

Each chapter contains practical code examples that can be immediately applied in real projects. You will learn to write not just working code, but efficient and safe code — using Rust's type system to prevent errors at compile time.

The book covers three major DBMS: SQLite (for prototyping and small projects), PostgreSQL (for industrial solutions), and MySQL/MariaDB (for compatibility with existing infrastructure). You will learn how to choose the right DBMS for a specific task and how to switch between them without rewriting code.

Special attention is given to asynchronous programming — you will learn to build high-load systems that handle thousands of concurrent database requests without blocking or memory leaks.

By the end of the book, you will be able to confidently design data schemas, write complex queries, optimize performance, and deploy ready-made applications with a Rust backend and DBMS in production.