Summary
协程与绿色线程专家。处理 generator, suspend/resume, stackful coroutine, stackless coroutine, context switch, 协程, 绿色线程, 上下文切换, 生成器--- # 协程与绿色线程 ## 核心问题 **如何实现高效的轻量级并发?** 协程提供用户态的上下文切换,避?
smithery.ai
协程与绿色线程专家。处理 generator, suspend/resume, stackful coroutine, stackless coroutine, context switch, 协程, 绿色线程, 上下文切换, 生成器--- # 协程与绿色线程 ## 核心问题 **如何实现高效的轻量级并发?** 协程提供用户态的上下文切换,避?
协程与绿色线程专家。处理 generator, suspend/resume, stackful coroutine, stackless coroutine, context switch, 协程, 绿色线程, 上下文切换, 生成器--- # 协程与绿色线程 ## 核心问题 **如何实现高效的轻量级并发?** 协程提供用户态的上下文切换,避?
Related neighbors and high-traction skills in the same topics — useful to compare before installing.
Kotlin Coroutines and Flow patterns for Android and KMP — structured concurrency, Flow operator…
8.8K installsUse when writing or reviewing Kotlin code that stores CoroutineScope, launches from init/non-su…
1.1K installsAuthoritative rules and patterns for production-quality Kotlin Coroutines onto Android. Covers …
489 installsC++20 coroutines skill for understanding coroutine mechanics and debugging. Use when working wi…
397 installsKuikly 协程与多线程编程助手。指导如何在 Kuikly 中进行异步编程,?
355 installsGuide and execute the migration of asynchronous code from RxJava to Kotlin Coroutines and Flow.…
284 installsOther skills from smithery.ai · top by installs.
npx skills add https://smithery.ai
Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.
Files included with this skill beyond the listing page.
SKILL.md
7,242 B
SUMMARY.md
191 B
| 特性 | OS 线程 | 协程 |
|---|---|---|
| 调度 | 内核 | 用户态 |
| 切换开销 | ~1μs | ~100ns |
| 数量限制 | 数千 | 数十万 |
| 栈大小 | 1-8MB | 几 KB |
| 抢占 | 抢占式 | 协作式 |
// Rust Nightly 的 generator
#![feature(generators)]
#![feature(generator_trait)]
use std::ops::Generator;
fn simple_generator() -> impl Generator<Yield = i32, Return = ()> {
|| {
yield 1;
yield 2;
yield 3;
// Generator 完成
}
}
fn main() {
let mut gen = simple_generator();
loop {
match unsafe { Pin::new_unchecked(&mut gen).resume() } {
GeneratorState::Yielded(v) => println!("Yielded: {}", v),
GeneratorState::Complete(()) => {
println!("Done!");
break;
}
}
}
}
// 使用 stackful 协程库
use corosensei::{Coroutine, Pin, Unpin};
fn runner<'a>(start: bool, coroutine: &'a Coroutine<'_, ()>) {
if start {
println!("Starting coroutine");
coroutine.run();
}
}
fn main() {
let coroutine = Coroutine::new(|_| {
println!(" In coroutine - 1");
corosensei::yield!();
println!(" In coroutine - 2");
corosensei::yield!();
println!(" In coroutine - 3");
});
let mut pin = Pin::new(&coroutine);
unsafe { pin.as_mut().set_running(true) };
println!("Main: first resume");
unsafe { pin.resume(false) }; // false = 不是第一次
println!("Main: second resume");
unsafe { pin.resume(false) };
println!("Main: third resume");
unsafe { pin.resume(false) };
println!("Main: done");
}
enum CoroutineState {
Init,
Processing,
Waiting,
Done,
}
struct StatefulCoroutine {
state: CoroutineState,
data: Vec<u8>,
}
impl StatefulCoroutine {
fn new() -> Self {
Self {
state: CoroutineState::Init,
data: Vec::new(),
}
}
fn step(&mut self) {
match self.state {
CoroutineState::Init => {
println!("Initialize");
self.state = CoroutineState::Processing;
}
CoroutineState::Processing => {
println!("Processing data");
self.state = CoroutineState::Waiting;
}
CoroutineState::Waiting => {
println!("Waiting for I/O");
self.state = CoroutineState::Done;
}
CoroutineState::Done => {
println!("Already done");
}
}
}
}
use std::sync::Arc;
use std::thread;
use std::sync::mpsc;
struct CoroutinePool {
workers: Vec<thread::JoinHandle<()>>,
sender: mpsc::Sender<Job>,
}
struct Job {
data: Vec<u8>,
result_tx: mpsc::Sender<Result<Vec<u8>, ()>>,
}
impl CoroutinePool {
pub fn new(size: usize) -> Self {
let (sender, receiver) = mpsc::channel();
let receiver = Arc::new(receiver);
let workers = (0..size)
.map(|_| {
let receiver = Arc::clone(&receiver);
thread::spawn(move || {
while let Ok(job) = receiver.recv() {
// 处理 job
let result = process_job(&job);
let _ = job.result_tx.send(result);
}
})
})
.collect();
Self { workers, sender }
}
pub fn submit(&self, data: Vec<u8>) -> mpsc::Receiver<Result<Vec<u8>, ()>> {
let (result_tx, result_rx) = mpsc::channel();
let job = Job { data, result_tx };
self.sender.send(job).unwrap();
result_rx
}
}
fn process_job(job: &Job) -> Result<Vec<u8>, ()> {
Ok(job.data.clone())
}
// 使用 async/await 实现栈无关协程
async fn async_task(id: u32) -> u32 {
println!("Task {} started", id);
// 模拟 I/O 操作
tokio::time::sleep(std::time::Duration::from_millis(100)).await;
println!("Task {} resumed", id);
id * 2
}
async fn main() {
// 并发执行多个协程
let results = futures::future::join_all(
(0..10).map(|i| async_task(i))
).await;
println!("Results: {:?}", results);
}
// 手动上下文切换
use std::arch::asm;
struct Context {
rsp: u64,
r15: u64,
r14: u64,
r13: u64,
r12: u64,
rbp: u64,
rbx: u64,
}
impl Context {
unsafe fn new(stack: &mut [u8]) -> Self {
let stack_top = stack.as_mut_ptr().add(stack.len());
let rsp = (stack_top as *mut u64).wrapping_sub(1) as u64;
Self {
rsp,
r15: 0,
r14: 0,
r13: 0,
r12: 0,
rbp: 0,
rbx: 0,
}
}
unsafe fn switch(&mut self, next: &mut Context) {
asm!(
"push rbx",
"push rbp",
"push r12",
"push r13",
"push r14",
"push r15",
"mov [rdi], rsp", // 保存当前栈指针
"mov rsp, [rsi]", // 切换到新栈
"pop r15",
"pop r14",
"pop r13",
"pop r12",
"pop rbp",
"pop rbx",
in("rdi") self as *mut Context,
in("rsi") next as *mut Context,
);
}
}
// 简单协程调度器
enum Task {
Coroutine(fn(&mut Scheduler)),
Finished,
}
struct Scheduler {
ready: Vec<Task>,
current: Option<Task>,
}
impl Scheduler {
pub fn new() -> Self {
Self {
ready: Vec::new(),
current: None,
}
}
pub fn spawn(&mut self, task: Task) {
self.ready.push(task);
}
pub fn run(&mut self) {
while let Some(task) = self.ready.pop() {
self.current = Some(task);
match std::mem::replace(&mut self.ready, vec![]) {
Task::Coroutine(f) => f(self),
Task::Finished => continue,
}
}
}
}
| 问题 | 原因 | 解决 |
|---|---|---|
| 协程不执行 | 缺少调度器 | 实现或使用调度器 |
| 栈溢出 | 递归太深 | 使用堆分配栈 |
| 内存泄漏 | 任务未完成 | 正确清理协程 |
| 死锁 | 循环等待 | 避免循环依赖 |
rust-coroutine
│
├─► rust-async → async/await 实现
├─► rust-concurrency → 并发模型
└─► rust-performance → 性能优化