Book Image

Rust High Performance

By : Iban Eguia Moraza
Book Image

Rust High Performance

By: Iban Eguia Moraza

Overview of this book

This book teaches you how to optimize the performance of your Rust code so that it is at the same level as languages such as C/C++. You'll understand and fi x common pitfalls, learn how to improve your productivity by using metaprogramming, and speed up your code. You will master the features of the language, which will make you stand out, and use them to greatly improve the efficiency of your algorithms. The book begins with an introduction to help you identify bottlenecks when programming in Rust. We highlight common performance pitfalls, along with strategies to detect and resolve these issues early. We move on to mastering Rust's type system, which will enable us to optimize both performance and safety at compile time. You will learn how to effectively manage memory in Rust, mastering the borrow checker. We move on to measuring performance and you will see how this affects the way you write code. Moving forward, you will perform metaprogramming in Rust to boost the performance of your code and your productivity. Finally, you will learn parallel programming in Rust, which enables efficient and faster execution by using multithreading and asynchronous programming.
Table of Contents (19 chapters)
Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
Index

Working with external data


Sometimes, we do not have complete control of our software stack. Usually, if you want to create a project, you will need to contact external data sources, which can lead to many issues, since achieving compatibility between your code and external APIs or sources can be difficult. Moreover, it can lead to performance loss, which we should avoid as much as possible. Let's check some efficient and easy-to-use solutions.

Data serialization and deserialization

When it comes to data serialization and deserialization in Rust, there is no doubt we are talking about serde (https://crates.io/crates/serde). Serde, from serialization and deserialization, gives us a unique tool to be able to transform our data structures to JSON, TOML, XML, or any other serializable format. Let's see how it works.

We start with a simple structure:

struct MyData {
    field1: String,
    field2: u32,
    field3: Vec<u8>,
}

And we add serde and serde_derive as dependencies to our Cargo.toml...