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Asynchronous Programming in Rust

You're reading from  Asynchronous Programming in Rust

Product type Book
Published in Feb 2024
Publisher Packt
ISBN-13 9781805128137
Pages 306 pages
Edition 1st Edition
Author (1):
Carl Fredrik Samson Carl Fredrik Samson
Profile icon Carl Fredrik Samson

Table of Contents (16) Chapters

Preface 1. Part 1:Asynchronous Programming Fundamentals
2. Chapter 1: Concurrency and Asynchronous Programming: a Detailed Overview 3. Chapter 2: How Programming Languages Model Asynchronous Program Flow 4. Chapter 3: Understanding OS-Backed Event Queues, System Calls, and Cross-Platform Abstractions 5. Part 2:Event Queues and Green Threads
6. Chapter 4: Create Your Own Event Queue 7. Chapter 5: Creating Our Own Fibers 8. Part 3:Futures and async/await in Rust
9. Chapter 6: Futures in Rust 10. Chapter 7: Coroutines and async/await 11. Chapter 8: Runtimes, Wakers, and the Reactor-Executor Pattern 12. Chapter 9: Coroutines, Self-Referential Structs, and Pinning 13. Chapter 10: Creating Your Own Runtime 14. Index 15. Other Books You May Enjoy

A mental model of an async runtime

I find it easier to reason about how futures work by creating a high-level mental model we can use. To do that, I have to introduce the concept of a runtime that will drive our futures to completion.


The mental model I create here is not the only way to drive futures to completion, and Rust’s futures do not impose any restrictions on how you actually accomplish this task.

A fully working async system in Rust can be divided into three parts:

  • Reactor (responsible for notifying about I/O events)
  • Executor (scheduler)
  • Future (a task that can stop and resume at specific points)

So, how do these three parts work together?

Let’s take a look at a diagram that shows a simplified overview of an async runtime:

Figure 6.1 – Reactor, executor, and waker

Figure 6.1 – Reactor, executor, and waker

In step 1 of the figure, an executor holds a list of futures. It will try to run the future by polling it (the poll phase...

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