Book Image

Practical System Programming for Rust Developers

By : Prabhu Eshwarla
Book Image

Practical System Programming for Rust Developers

By: Prabhu Eshwarla

Overview of this book

Modern programming languages such as Python, JavaScript, and Java have become increasingly accepted for application-level programming, but for systems programming, C and C++ are predominantly used due to the need for low-level control of system resources. Rust promises the best of both worlds: the type safety of Java, and the speed and expressiveness of C++, while also including memory safety without a garbage collector. This book is a comprehensive introduction if you’re new to Rust and systems programming and are looking to build reliable and efficient systems software without C or C++. The book takes a unique approach by starting each topic with Linux kernel concepts and APIs relevant to that topic. You’ll also explore how system resources can be controlled from Rust. As you progress, you’ll delve into advanced topics. You’ll cover network programming, focusing on aspects such as working with low-level network primitives and protocols in Rust, before going on to learn how to use and compile Rust with WebAssembly. Later chapters will take you through practical code examples and projects to help you build on your knowledge. By the end of this Rust programming book, you will be equipped with practical skills to write systems software tools, libraries, and utilities in Rust.
Table of Contents (17 chapters)
1
Section 1: Getting Started with System Programming in Rust
6
Section 2: Managing and Controlling System Resources in Rust
12
Section 3: Advanced Topics

Summary

In this chapter, we covered the basics of concurrency and multi-threaded programming in Rust. We started by reviewing the need for concurrent programming models. We understood the differences between the concurrent and parallel execution of programs. We learned how to spawn new threads using two different methods. We handled errors using a special Result type in the thread module and also learned how to check whether the current thread is panicking. We looked at how threads are laid out in process memory. We discussed two techniques for synchronizing processing across threads – message-passing concurrency and shared-state concurrency, with practical examples. As a part of this, we learned about channels, Mutex and Arc in Rust, and the role they play in writing concurrent programs. We then discussed how Rust classifies data types as thread-safe or not, and saw how to pause the execution of the current thread.

This concludes the chapter on managing concurrency in Rust...