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may

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rust stackful coroutine library

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About

rust stackful coroutine library


Table of contents

  • Features
  • Usage
  • More examples
    • The CPU heavy load examples
    • The I/O heavy bound examples
  • Performance
  • Caveat
  • How to tune a stack size
  • License

Features

  • The stackful coroutine implementation is based on generator;
  • Support schedule on a configurable number of threads for multi-core systems;
  • Support coroutine version of a local storage (CLS);
  • Support efficient asynchronous network I/O;
  • Support efficient timer management;
  • Support standard synchronization primitives, a semaphore, an MPMC channel, etc;
  • Support cancellation of coroutines;
  • Support graceful panic handling that will not affect other coroutines;
  • Support scoped coroutine creation;
  • Support general selection for all the coroutine API;
  • All the coroutine API are compatible with the standard library semantics;
  • All the coroutine API can be safely called in multi-threaded context;
  • Both stable, beta, and nightly channels are supported;
  • x86_64 GNU/Linux, x86_64 Windows, x86_64 macOS, AArch64 GNU/Linux, and AArch64 macOS are supported.

Usage

A naive echo server implemented with May:

#[macro_use]
extern crate may;

use may::net::TcpListener;
use std::io::{Read, Write};

fn main() {
    let listener = TcpListener::bind("127.0.0.1:8000").unwrap();
    while let Ok((mut stream, _)) = listener.accept() {
        go!(move || {
            let mut buf = vec![0; 1024 * 16]; // alloc in heap!
            while let Ok(n) = stream.read(&mut buf) {
                if n == 0 {
                    break;
                }
                stream.write_all(&buf[0..n]).unwrap();
            }
        });
    }
}

More examples

The CPU heavy load examples

  • The "Quick Sort" algorithm
  • A prime number generator

The I/O heavy bound examples

  • An echo server
  • An echo client
  • A simple HTTP
  • A simple HTTPS
  • WebSockets

Performance

You can refer to https://tfb-status.techempower.com/ to get the latest may_minihttp comparisons with other most popular frameworks.


Caveat

There is a detailed document that describes May's main restrictions. In general, there are four things you should follow when writing programs that use coroutines:

  • Don't call thread-blocking API (It will hurt the performance);
  • Carefully use Thread Local Storage (access TLS in coroutine might trigger undefined behavior).

It's considered unsafe with the following pattern:

set_tls();
// Or another coroutine API that would cause scheduling:
coroutine::yield_now(); 
use_tls();

but it's safe if your code is not sensitive about the previous state of TLS. Or there is no coroutines scheduling between set TLS and use TLS.

  • Don't run CPU bound tasks for long time, but it's ok if you don't care about fairness;
  • Don't exceed the coroutine stack. There is a guard page for each coroutine stack. When stack overflow occurs, it will trigger segment fault error.

Note:

The first three rules are common when using cooperative asynchronous libraries in Rust. Even using a futures-based system also have these limitations. So what you should really focus on is a coroutine stack size, make sure it's big enough for your applications.


How to tune a stack size

If you want to tune your coroutine stack size, please check out this document.


License

May is licensed under either of the following, at your option:

  • The Apache License v2.0.0 (LICENSE-APACHE or http://www.apache.org/licenses/LICENSE-2.0);
  • The MIT License (LICENSE-MIT or http://opensource.org/licenses/MIT).

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Highlights

  • •Features
  • •More examples
  • •The CPU heavy load examples
  • •The I/O heavy bound examples
  • •Performance
  • •How to tune a stack size
  • •The stackful coroutine implementation is based on [generator][generator];
  • •Support schedule on a configurable number of threads for multi-core systems;
  • •Support coroutine version of a local storage ([CLS][cls]);
  • •Support efficient asynchronous network I/O;

> Tags

Rustasynccoroutinesfibersgenerator

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> Details

PublishedAug 1, 2026
UpdatedSep 17, 2026
Category数据库
PricingOpen source

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