let mut stream = TcpStream::connect("127.0.0.1:6400").unwrap(); println!("Sending query..."); stream .write(String::from("What is the best number?").as_bytes()) .unwrap(); println!("> Done"); println!("Receiving..."); let mut buf = String::new(); stream.read_to_string(...
delay:Delay,}implStreamforInterval{typeItem=();fnpoll_next(mutself:Pin<&mutSelf>,cx:&mutContext<'_>)->Poll<Option<()>>{ifself.rem==0{// 去除计时器实现returnPoll::Ready(None);}matchPin::new(&mutself.delay).poll(cx){Poll::Ready(_)=>{letwhen...
use tokio::net::TcpStream;use tokio::io::{self,AsyncWriteExt};#[tokio::main]asyncfnmain()-> io::Result<()>{letmutstream=TcpStream::connect("127.0.0.1:8080").await?;letbuffer=b"Hello, world!"; stream.write_all(buffer).await?;Ok(())} 这个示例演示了如何使用 AsyncWrite 模块向...
你可以用Arc类型把 String 共享给多线程小 bugTcpStream::connect(format!
asyncfnindex(req:HttpRequest,stream:web::Payload)->Result<HttpResponse,Error>{// 将WebSocket连接升级,并将请求委托给 MyWs Actor 处理。letresp=ws::start(MyWs{},&req,stream);println!("{:?}",resp);resp}#[actix_web::main]asyncfnmain()->std::io::Result<()>{// 创建了一个 HttpServer...
stream.read(&mutbuffer).unwrap();letreceived_message=String::from_utf8_lossy(&buffer[..]);println!("Received message from server: {}", received_message); } 在这个客户端示例中,我们连接到服务器,发送一条消息,然后读取服务器的响应。
("Accepted a new connection: {}",addr);thread::spawn(move||{letmut buf=[0u8;12];stream.read_exact(&mut buf).unwrap();println!("data: {:?}",String::from_utf8_lossy(&buf));// 一共写了 17 个字节stream.write_all(b"glad to meet you!").unwrap();});}}...
// tcp的连接被移动到该协程中,我们只要专注的处理该stream即可 }) } HTTP代理 如果该代理信息配置支持http/https则会尝试进行http解析,代码实现在proxy.rs中的process方法, pub async fn process(mut inbound: TcpStream) -> ProxyResult<()> {
let resp = ws::start(MyWs {}, &req, stream); println!("{:?}", resp); resp } #[actix_web::main] async fn main() -> std::io::Result<()> { // 创建了一个 HttpServer 实例,通过 App::new() 创建一个应用, // 该应用只有一个路由,将路径 "/ws/" 映射到处理函数 index 上。
(inputasDeriveInput);lettoken_stream=expand_getters(input); token_stream .unwrap_or_else(|e| e.into_compile_error()) .into() } 我们将输入token流解析为DeriveInput,是因为DeriveInput实现了Parsetrait。定义如下: pubtraitParse:Sized{fnparse(input: ParseStream)->Result<Self>;...