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Hands-On Concurrency with Rust

You're reading from   Hands-On Concurrency with Rust Confidently build memory-safe, parallel, and efficient software in Rust

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788399975
Length 462 pages
Edition 1st Edition
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Author (1):
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Brian L. Troutwine Brian L. Troutwine
Author Profile Icon Brian L. Troutwine
Brian L. Troutwine
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Table of Contents (12) Chapters Close

Preface 1. Preliminaries – Machine Architecture and Getting Started with Rust FREE CHAPTER 2. Sequential Rust Performance and Testing 3. The Rust Memory Model – Ownership, References and Manipulation 4. Sync and Send – the Foundation of Rust Concurrency 5. Locks – Mutex, Condvar, Barriers and RWLock 6. Atomics – the Primitives of Synchronization 7. Atomics – Safely Reclaiming Memory 8. High-Level Parallelism – Threadpools, Parallel Iterators and Processes 9. FFI and Embedding – Combining Rust and Other Languages 10. Futurism – Near-Term Rust 11. Other Books You May Enjoy

Embedding Lua into Rust


Many of the programs we've discussed in this book use a report thread to notify the user of the running behavior of the program. Each of these report functions have been coded in Rust, an unchanging part of the executable. What if, however, we wanted end-users to be able to supply their own reporting routine? Or, consider the cernan project (https://crates.io/crates/cernan), discussed previously in this book, which supports a programmable filter, an online data-stream filter that can be programmed by end-users without changing the cernan binary. How do you pull such a trick off?

A common answer, not just in Rust but in many compiled languages, is to embed a Lua interpreter (https://www.lua.org/) and read user programs in at startup. It's such a common answer, in fact, that there are many Lua embeddings to choose from in the crates ecosystem. We'll use rlua (https://crates.io/crates/rlua) here as it's a safe choice and the project documentation is very good. Other Lua...

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