Book Image

Mastering Rust - Second Edition

By : Rahul Sharma, Vesa Kaihlavirta
Book Image

Mastering Rust - Second Edition

By: Rahul Sharma, Vesa Kaihlavirta

Overview of this book

Rust is an empowering language that provides a rare combination of safety, speed, and zero-cost abstractions. Mastering Rust – Second Edition is filled with clear and simple explanations of the language features along with real-world examples, showing you how you can build robust, scalable, and reliable programs. This second edition of the book improves upon the previous one and touches on all aspects that make Rust a great language. We have included the features from latest Rust 2018 edition such as the new module system, the smarter compiler, helpful error messages, and the stable procedural macros. You’ll learn how Rust can be used for systems programming, network programming, and even on the web. You’ll also learn techniques such as writing memory-safe code, building idiomatic Rust libraries, writing efficient asynchronous networking code, and advanced macros. The book contains a mix of theory and hands-on tasks so you acquire the skills as well as the knowledge, and it also provides exercises to hammer the concepts in. After reading this book, you will be able to implement Rust for your enterprise projects, write better tests and documentation, design for performance, and write idiomatic Rust code.
Table of Contents (19 chapters)

Concurrency in Rust

Rust's concurrency primitives rely on native OS threads. It provides threading APIs in the std::thread module in the standard library. In this section, we'll start with the basics on how to create threads to perform tasks concurrently. In subsequent sections, we'll explore how threads can share data with each other.

Thread basics

As we said, every program starts with a main thread. To create an independent execution point from anywhere in the program, the main thread can spawn a new thread, which becomes its child thread. Child threads can further spawn their own threads. Let's look at a concurrent program in Rust that uses threads in the simplest way possible: