Concurrency

Rust Threads

Using Threads

Rust threads spawn lightweight tasks with thread::spawn.

Introduction to Rust Threads

Rust provides support for concurrent programming through threads, which allow you to perform multiple tasks simultaneously. Threads in Rust are lightweight and can be easily spawned using the thread::spawn function. This makes Rust a great choice for building applications that require high concurrency and performance.

Creating a Simple Thread

The thread::spawn function is used to create a new thread. This function takes a closure that contains the code you want to execute in the thread. Here's a simple example of how to create a thread in Rust:

Handling Thread Completion

When you spawn a thread, it runs independently of the main thread. To ensure that your program waits for the thread to finish executing before exiting, you can use the join method. This method blocks the current thread until the spawned thread completes.

Passing Data to Threads

You can pass data to threads by moving ownership into the closure using the move keyword. This is essential when you want to ensure that the closure can access data from the surrounding environment without causing data races.

Controlling Thread Behavior

Threads can be configured to execute specific actions or to perform tasks repeatedly. You might use loops within a thread to handle continuous tasks or events. Here's a simple example of a thread that counts numbers:

Thread Safety and Synchronization

Rust enforces thread safety through its ownership model, which helps prevent data races. When sharing mutable data between threads, you can use synchronization primitives like Mutex and RwLock from the std::sync module to ensure safe access. These tools allow you to lock data for exclusive or shared access.

Previous
Concurrency