• Stars
    star
    563
  • Rank 79,150 (Top 2 %)
  • Language
    Rust
  • License
    Apache License 2.0
  • Created almost 7 years ago
  • Updated 4 months ago

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Repository Details

mini http implemented on top of may

may_minihttp

Mini http server that implemented on top of may

This crate is ported from tokio_minihttp. But with much ease of use, you can call MAY block APIs directly in your service.

Build Status

Usage

First, add this to your Cargo.toml:

[dependencies]
may_minihttp = { git = "https://github.com/Xudong-Huang/may_minihttp.git" }

Then just simply implement your http service

extern crate may_minihttp;

use std::io;
use may_minihttp::{HttpServer, HttpService, Request, Response};

#[derive(Clone)]
struct HelloWorld;

impl HttpService for HelloWorld {
    fn call(&mut self, _req: Request, res: &mut Response) -> io::Result<()> {
        res.body("Hello, world!");
        Ok(())
    }
}

// Start the server in `main`.
fn main() {
    let server = HttpServer(HelloWorld).start("0.0.0.0:8080").unwrap();
    server.join().unwrap();
}

Performance

Tested with only one working thread on my laptop

Both with the following command to start the server.

$ cargo run --example=hello-world --release

tokio_minihttp

$ wrk http://127.0.0.1:8080 -d 10 -t 1 -c 200
Running 10s test @ http://127.0.0.1:8080
  1 threads and 200 connections
  Thread Stats   Avg      Stdev     Max   +/- Stdev
    Latency     1.98ms  284.06us  12.53ms   98.92%
    Req/Sec   101.64k     1.76k  103.69k    91.00%
  1011679 requests in 10.05s, 99.38MB read
Requests/sec: 100650.94
Transfer/sec:      9.89MB

may_minihttp

$ wrk http://127.0.0.1:8080 -d 10 -t 1 -c 200
Running 10s test @ http://127.0.0.1:8080
  1 threads and 200 connections
  Thread Stats   Avg      Stdev     Max   +/- Stdev
    Latency     1.70ms  812.42us  20.17ms   97.94%
    Req/Sec   117.65k     7.52k  123.40k    88.00%
  1171118 requests in 10.08s, 115.04MB read
Requests/sec: 116181.73
Transfer/sec:     11.41MB

Benchmarks

One of the fastest web frameworks available according to the TechEmpower Framework Benchmark.

License

This project is licensed under either of

at your option.