Book Image

Rust Web Programming - Second Edition

By : Maxwell Flitton
Book Image

Rust Web Programming - Second Edition

By: Maxwell Flitton

Overview of this book

Are safety and high performance a big concern for you while developing web applications? With this practical Rust book, you’ll discover how you can implement Rust on the web to achieve the desired performance and security as you learn techniques and tooling to build fully operational web apps. In this second edition, you’ll get hands-on with implementing emerging Rust web frameworks, including Actix, Rocket, and Hyper. It also features HTTPS configuration on AWS when deploying a web application and introduces you to Terraform for automating the building of web infrastructure on AWS. What’s more, this edition also covers advanced async topics. Built on the Tokio async runtime, this explores TCP and framing, implementing async systems with the actor framework, and queuing tasks on Redis to be consumed by a number of worker nodes. Finally, you’ll go over best practices for packaging Rust servers in distroless Rust Docker images with database drivers, so your servers are a total size of 50Mb each. By the end of this book, you’ll have confidence in your skills to build robust, functional, and scalable web applications from scratch.
Table of Contents (27 chapters)
Free Chapter
1
Part 1:Getting Started with Rust Web Development
4
Part 2:Processing Data and Managing Displays
8
Part 3:Data Persistence
12
Part 4:Testing and Deployment
16
Part 5:Making Our Projects Flexible
19
Part 6:Exploring Protocol Programming and Async Concepts with Low-Level Network Applications

Building our state actor

When it comes to our state actor, we must send and receive messages. Our state actor will also have a state where the actor will store the chat logs to be referenced. With the state actor mechanisms in mind, it will not be surprising that we have the following imports in the src/actors/state.rs file:

use std::collections::{HashMap, VecDeque};
use std::mem;
use tokio::sync::mpsc::{Sender, Receiver};
use super::messages::{MessageType, StateActorMessage};

The only difference in the imports is the mem module. The mem module will enable us to allocate memory. We will cover how we use the mem module when we get the message from the state of the actor. We can also see that we have imported HashMap and VecDeque to handle the state of the actor.

Now that we have imported what we need, we can define our actor struct with the following code:

#[derive(Debug)]
pub struct StateActor {
    pub chat_queue: VecDeque<i32>,
  &...