Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Arrow up icon
GO TO TOP
Hands-On Data Structures and Algorithms with Rust

You're reading from   Hands-On Data Structures and Algorithms with Rust Learn programming techniques to build effective, maintainable, and readable code in Rust 2018

Arrow left icon
Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781788995528
Length 316 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Claus Matzinger Claus Matzinger
Author Profile Icon Claus Matzinger
Claus Matzinger
Arrow right icon
View More author details
Toc

Table of Contents (15) Chapters Close

Preface 1. Hello Rust! FREE CHAPTER 2. Cargo and Crates 3. Storing Efficiently 4. Lists, Lists, and More Lists 5. Robust Trees 6. Exploring Maps and Sets 7. Collections in Rust 8. Algorithm Evaluation 9. Ordering Things 10. Finding Stuff 11. Random and Combinatorial 12. Algorithms of the Standard Library 13. Assessments 14. Other Books You May Enjoy

Concurrency and mutability

Rust's approach to managing memory is a powerful concept. In fact, it is powerful enough to also facilitate concurrency and parallel execution. However, first things first: how do threads work in the Rust standard library?

Concurrency and parallelism are two different modes of execution. While concurrency means that parts of a program run independently of each other, parallelism refers to these parts executing at the same time. For simplicity, we will refer to both concepts as concurrency.

Due to its low-level nature, Rust provides an API to the operating system's threading capabilities (for example, POSIX on Linux/Unix systems). If no variables are passed into the scope, their usage is very straightforward:

use std::thread; 

fn threading() {
// The to pipes (||) is the space where parameters go,
// akin to a function signature's parameters, without
// the need to always declare types explicitly.
// This way, variables can move from the outer into the inner scope
let handle = thread::spawn(|| {
println!("Hello from a thread");
});
handle.join().unwrap();
}

However, when passing data back and forth, more work has to be done to hold up Rust's safety guarantees, especially when mutability comes into play. Before getting into that, it is important to recap immutability.

You have been reading a chapter from
Hands-On Data Structures and Algorithms with Rust
Published in: Jan 2019
Publisher: Packt
ISBN-13: 9781788995528
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €14.99/month. Cancel anytime
Visually different images