Rust Concurrency Patterns — Tokio Tasks, Channels, and Actor Model with Actix
DodaTech
Updated 2026-06-28
1 min read
In this tutorial, you will learn about Rust Concurrency Patterns. We cover key concepts, practical examples, and best practices to help you master this topic.
Rust concurrency patterns include tokio tasks for async work, mpsc/broadcast channels for communication, and the Actor Model for state management.
What You'll Learn
- Tokio tasks
- mpsc and broadcast channels
- Actor model
- Graceful shutdown
Why It Matters
Concurrency patterns solve real problems. DodaZIP uses tokio tasks for parallel compression.
Real-World Use
Message processing, real-time data streaming, Websocket servers, job queues.
use tokio::sync::{mpsc, broadcast};
use tokio::time::{sleep, Duration};
#[tokio::main]
async fn main() {
// mpsc channel (multiple producer, single consumer)
let (tx, mut rx) = mpsc::channel(32);
let producer = tokio::spawn(async move {
for i in 0..5 {
tx.send(i).await.unwrap();
sleep(Duration::from_millis(100)).await;
}
});
let consumer = tokio::spawn(async move {
while let Some(msg) = rx.recv().await {
println!("Received: {}", msg);
}
});
// broadcast channel (multiple consumer)
let (btx, _) = broadcast::channel(16);
let mut rx1 = btx.subscribe();
let mut rx2 = btx.subscribe();
let broadcaster = tokio::spawn(async move {
for i in 0..3 {
btx.send(i).unwrap();
sleep(Duration::from_millis(100)).await;
}
});
let cons1 = tokio::spawn(async move {
while let Ok(msg) = rx1.recv().await {
println!("Consumer 1: {}", msg);
}
});
let cons2 = tokio::spawn(async move {
while let Ok(msg) = rx2.recv().await {
println!("Consumer 2: {}", msg);
}
});
let _ = tokio::join!(producer, consumer, broadcaster, cons1, cons2);
}
← Previous
Rust Database — SQL Database Access with SQLx and Diesel for PostgreSQL
Next →
Rust Error Handling in Production — Observability, Logging, and Structured Errors
Built by the developers of DodaTech
Doda Browser, DodaZIP & Durga Antivirus Pro