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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

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781788995528
Length 316 pages
Edition 1st Edition
Languages
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Author (1):
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Claus Matzinger Claus Matzinger
Author Profile Icon Claus Matzinger
Claus Matzinger
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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 performance

Having code that is easier to reason about and where the state cannot be changed is even more important in multithreaded scenarios. This prevents so-called anomalies (or side effects) where the state of an object is changed outside a dependent thread.

Locks are generally made to change the state of a shared object—they secure critical sections, which only a single thread can modify at any given time. Other threads have to "line up" and wait for the lock to be released to access the part as well. In Rust, this is called a mutex.

Locks and mutex zones are bad for the following reasons:

  • They have to be in the right order (acquired and released).
  • What happens when a thread panics in a mutex zone?
  • They are hard to integrate seamlessly into the part of the program that they protect.
  • They are a bottleneck for performance.

Immutability is a simple way to avoid all of these, and there are many immutable data structure crates available, including one...

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