I have a small program that executes the aws s3 cli commands but with different arguments. I'm using the Command crate and the the command makes a network call and returns some response. At first I have this synchronous & single-threaded implementation:
fn make_call<'a>(_name: &'a str, _bucket_poll: &mut BucketPoll<'a>) -> Option<BucketDetails<'a>> {
let invoke_result = invoke_network_call(_name);
let mut bucket = BucketDetails::new(_name);
match invoke_result {
Ok(invoke_str) => {
bucket.output = invoke_str;
_bucket_poll.insert_bucket(bucket.clone());
_bucket_poll.successful_count += 1;
Some(bucket)
}
Err(_) => {
_bucket_poll.insert_bucket(bucket);
None
}
}
}
// I invoke this function in sequential order, something like
make_call('name_1');
make_call('name_2');
make_call('name_3');
Because I don't really care at which order this function is executed, I decided to learn Tokio to help with performance. I changed the make_call function to be async:
async fn make_call_race() -> ExecutionResult {
let bucket_poll = BucketPoll::new();
let bucket_poll_guard = Arc::new(Mutex::new(bucket_poll));
loop {
let bucket_details = tokio::select! {
Some(bucket_details) = make_call_async("name_1", &bucket_poll_guard) => bucket_details,
Some(bucket_details) = make_call_async("name_2", &bucket_poll_guard) => bucket_details,
Some(bucket_details) = make_call_async("name_3", &bucket_poll_guard) => bucket_details,
Some(bucket_details) = make_call_async("name_4", &bucket_poll_guard) => bucket_details,
else => { break }
};
success_printer(bucket_details);
}
// more printing, no more network calls
ExecutionResult::Success
}
make_call_async is essentially the same as make_call:
async fn make_call_async<'a>(
_name: &'a str,
_bucket_poll_guard: &'a Arc<Mutex<BucketPoll<'a>>>,
) -> Option<BucketDetails<'a>> {
{
if let Ok(bucket_poll_guard) = _bucket_poll_guard.lock() {
if bucket_poll_guard.has_polled(_name) {
return None;
}
}
}
let invoke_result = invoke_network_call(_name);
let mut bucket = BucketDetails::new(_name);
match invoke_result {
Ok(invoke_str) => {
bucket.output = invoke_str;
{
if let Ok(mut bucket_poll_guard) = _bucket_poll_guard.lock() {
bucket_poll_guard.insert_bucket(bucket.clone());
bucket_poll_guard.successful_count += 1;
}
}
Some(bucket)
}
Err(_) => {
{
if let Ok(mut bucket_poll_guard) = _bucket_poll_guard.lock() {
bucket_poll_guard.insert_bucket(bucket);
}
}
None
}
}
}
When I run the async version, I do see that my network calls are made a random order but I do not notice any speedups. I increased the number of network calls to ~50ish invocations but the runtime is nearly the same if not slightly worse. As I am new to async programming and Rust in general, I would like to understand why my async implementation does not seem to offer any improvement.
Extra:
Here is the invoke_network_call method:
fn invoke_network_call(_name: &str) -> core::result::Result<String, AwsCliError> {
let output = Command::new("aws")
.arg("s3")
.arg("ls")
.arg(_name)
.output()
.expect("Could not list s3 objects");
if !output.status.success() {
err_printer(format!("Failed to list s3 objects for bucket {}.", _name));
return Err(AwsCliError);
}
let output_str = get_stdout_string_from_output(&output);
Ok(output_str)
}
EDIT: yorodm's comment makes sense. What I did was use Tokio's Command instead of std::process's Command and made the invoke_network_call async. This reduced my runtime by half. Thank you!
You could rewrite invoke_network_call using an async version of Command.
async fn invoke_network_call(_name: &str) -> core::result::Result<String, AwsCliError> {
let output = tokio::process::Command::new("aws")
.arg("s3")
.arg("ls")
.arg(_name)
.output()
.await
.expect("Could not list s3 objects");
if !output.status.success() {
err_printer(format!("Failed to list s3 objects for bucket {}.", _name));
return Err(AwsCliError);
}
let output_str = get_stdout_string_from_output(&output);
Ok(output_str)
}
Thus removing the blocking std::process::Command call. However I would say that if you're going to access AWS services you should go with rusoto
Related
I have a futures::stream::Stream which produces elements in the form <(State, impl std::fmt::Binary)> (Binary is an arbitrary placeholder for a trait I want to use):
let peers = (0..10).map(move |peer| async move {
let delay = core::time::Duration::from_secs(2); // should be 'random'
tokio::time::sleep(delay).await;
if peer % 2 == 0 {
stream::iter(Ok::<i32, std::io::Error>(peer).into_iter())
} else {
let custom_error = std::io::Error::new(std::io::ErrorKind::Other, "oh no!");
stream::iter(Err::<i32, std::io::Error>(custom_error).into_iter())
}
})
.collect::<FuturesUnordered<_>>()
.flatten()
.map(|peer| (State { foo: "foo".into(), bar: "bar".into() }, peer));
The peers above should correspond to a stream of peers which are connected successfully. Since I do not know until runtime how many peers are connected I can't store this in a Vec<(State, impl ...)> or similar.
Is it possible to somehow do a series of tasks concurrently which modifies the State internally for each peer where the task completion is determined by the first peer that completes the task? Similar to a race for each task.
I thought the following might work:
use futures::{
stream::{self, FuturesUnordered},
StreamExt, FutureExt,
};
#[derive(Debug, Clone)]
struct State {
foo: String,
bar: String
}
#[tokio::main]
async fn main() {
let futures = (0..10).map(move |peer| async move {
let mut delay = core::time::Duration::from_secs(2);
if peer == 0 {
delay = core::time::Duration::from_secs(100); // slow peer
}
tokio::time::sleep(delay).await;
if peer % 2 == 0 {
stream::iter(Ok::<i32, std::io::Error>(peer).into_iter())
} else {
let custom_error = std::io::Error::new(std::io::ErrorKind::Other, "oh no!");
stream::iter(Err::<i32, std::io::Error>(custom_error).into_iter())
}
})
.collect::<FuturesUnordered<_>>()
.flatten()
.map(|peer| (State { foo: "foo".into(), bar: "bar".into() }, peer));
// first task
let notify = std::rc::Rc::new(tokio::sync::Notify::new());
let futures = futures.map(|(mut state, x)| {
let notify = notify.clone();
async move {
tokio::select! {
biased;
_ = async {
println!("processing task #1 for peer {:b} with state {:?}", x, state);
let delay = core::time::Duration::from_secs(2);
tokio::time::sleep(delay).await;
state.foo = "test1".to_owned();
notify.notify_waiters();
} => {
(state, x)
}
_ = notify.notified() => { (state, x) }
}
}
}).buffer_unordered(10).collect::<Vec<(State, _)>>().await;
// second task
let notify = std::rc::Rc::new(tokio::sync::Notify::new());
let futures = stream::iter(futures);
let futures = futures.map(|(mut state, x)| {
let notify = notify.clone();
async move {
tokio::select! {
biased;
_ = async {
println!("processing task #2 for peer {:b} with state {:?}", x, state);
let delay = core::time::Duration::from_secs(2);
tokio::time::sleep(delay).await;
notify.notify_waiters();
} => {
(state, x)
}
_ = notify.notified() => { (state, x) }
}
}
}).buffer_unordered(10).collect::<Vec<(State, _)>>().await;
}
playground link
But it will be stuck on the first task because it is waiting for the slow peer with 100 seconds delay. Ideally, I want to prematurely finish the collect once the task is done. I have tried using take_until with notify.notified():
let futures = futures.map(|(mut state, x)| {
let notify = notify.clone();
async move {
tokio::select! {
...
}
}
}).buffer_unordered(10).take_until(notify.notified()).collect::<Vec<(State, _)>>().await;
but this will discard the other peers and leave only 1 peer in futures. I think this is because the outer notify.notified() takes precedence over the inner notify.notified() used in the tokio::select! statement.
Is there a way to reuse a futures::stream::Stream and simultaneously modify the elements which I have tried doing above?
Or is there a more idiomatic solution to what I am trying to achieve here?
I built a LED clock that also displays weather. My program does a couple of different things in a loop, each thing with a different interval:
updates the LEDs every 50ms,
checks the light level (to adjust the brightness) every 1 second,
fetches weather every 10 minutes,
actually some more, but that's irrelevant.
Updating the LEDs is the most critical: I don't want this to be delayed when e.g. weather is being fetched. This should not be a problem as fetching weather is mostly an async HTTP call.
Here's the code that I have:
let mut measure_light_stream = tokio::time::interval(Duration::from_secs(1));
let mut update_weather_stream = tokio::time::interval(WEATHER_FETCH_INTERVAL);
let mut update_leds_stream = tokio::time::interval(UPDATE_LEDS_INTERVAL);
loop {
tokio::select! {
_ = measure_light_stream.tick() => {
let light = lm.get_light();
light_smooth.sp = light;
},
_ = update_weather_stream.tick() => {
let fetched_weather = weather_service.get(&config).await;
// Store the fetched weather for later access from the displaying function.
weather_clock.weather = fetched_weather.clone();
},
_ = update_leds_stream.tick() => {
// Some code here that actually sets the LEDs.
// This code accesses the weather_clock, the light level etc.
},
}
}
I realised the code doesn't do what I wanted it to do - fetching the weather blocks the execution of the loop. I see why - the docs of tokio::select! say the other branches are cancelled as soon as the update_weather_stream.tick() expression completes.
How do I do this in such a way that while fetching the weather is waiting on network, the LEDs are still updated? I figured out I could use tokio::spawn to start a separate non-blocking "thread" for fetching weather, but then I have problems with weather_service not being Send, let alone weather_clock not being shareable between threads. I don't want this complication, I'm fine with everything running in a single thread, just like what select! does.
Reproducible example
use std::time::Duration;
use tokio::time::{interval, sleep};
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let mut slow_stream = interval(Duration::from_secs(3));
let mut fast_stream = interval(Duration::from_millis(200));
// Note how access to this data is straightforward, I do not want
// this to get more complicated, e.g. care about threads and Send.
let mut val = 1;
loop {
tokio::select! {
_ = fast_stream.tick() => {
println!(".{}", val);
},
_ = slow_stream.tick() => {
println!("Starting slow operation...");
// The problem: During this await the dots are not printed.
sleep(Duration::from_secs(1)).await;
val += 1;
println!("...done");
},
}
}
}
You can use tokio::join! to run multiple async operations concurrently within the same task.
Here's an example:
async fn measure_light(halt: &Cell<bool>) {
while !halt.get() {
let light = lm.get_light();
// ....
tokio::time::sleep(Duration::from_secs(1)).await;
}
}
async fn blink_led(halt: &Cell<bool>) {
while !halt.get() {
// LED blinking code
tokio::time::sleep(UPDATE_LEDS_INTERVAL).await;
}
}
async fn poll_weather(halt: &Cell<bool>) {
while !halt.get() {
let weather = weather_service.get(&config).await;
// ...
tokio::time::sleep(WEATHER_FETCH_INTERVAL).await;
}
}
// example on how to terminate execution
async fn terminate(halt: &Cell<bool>) {
tokio::time::sleep(Duration::from_secs(10)).await;
halt.set(true);
}
async fn main() {
let halt = Cell::new(false);
tokio::join!(
measure_light(&halt),
blink_led(&halt),
poll_weather(&halt),
terminate(&halt),
);
}
If you're using tokio::TcpStream or other non-blocking IO, then it should allow for concurrent execution.
I've added a Cell flag for halting execution as an example. You can use the same technique to share any mutable state between join branches.
EDIT: Same thing can be done with tokio::select!. The main difference with your code is that the actual "business logic" is inside the futures awaited by select.
select allows you to drop unfinished futures instead of waiting for them to exit on their own (so halt termination flag is not necessary).
async fn main() {
tokio::select! {
_ = measure_light() => {},
_ = blink_led() = {},
_ = poll_weather() => {},
}
}
Here's a concrete solution, based on the second part of stepan's answer:
use std::time::Duration;
use tokio::time::sleep;
#[tokio::main]
async fn main() {
// Cell is an acceptable complication when accessing the data.
let val = std::cell::Cell::new(1);
tokio::select! {
_ = async {loop {
println!(".{}", val.get());
sleep(Duration::from_millis(200)).await;
}} => {},
_ = async {loop {
println!("Starting slow operation...");
// The problem: During this await the dots are not printed.
sleep(Duration::from_secs(1)).await;
val.set(val.get() + 1);
println!("...done");
sleep(Duration::from_secs(3)).await;
}} => {},
}
}
Playground link
I'm getting a deadlock on the following example:
use tokio::net::TcpListener;
use tokio::io::{AsyncReadExt, AsyncWriteExt};
use futures::lock::Mutex;
use std::sync::Arc;
struct A{
}
impl A {
pub async fn do_something(&self) -> std::result::Result<(), ()>{
Err(())
}
}
async fn lock_and_use(a: Arc<Mutex<A>>) {
match a.clone().lock().await.do_something().await {
Ok(()) => {
},
Err(()) => {
//try again on error
println!("trying again");
a.clone().lock().await.do_something().await.unwrap();
}
}
}
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
println!("begin");
let a = Arc::new(Mutex::new(A{}));
lock_and_use(a.clone()).await;
println!("end");
Ok(())
}
Playground
If I did this:
a.clone().lock().await.do_something().await;
a.clone().lock().await.do_something().await;
there would be no problem, the lock() dies on the same line it's created. I thought this principle would be the same for match. If you think about match, it locks the value, calls do_something, awaits on it, and then compares the value. It's true that do_something returns a future which capture the self, but when we await on it, it should discard the self. Why it still holds self? How can I solve this without cloning the result?
Yes:
Temporaries live for the entire statement, never shorter.
Cause code could be:
{
match self.cache.read() { // <-- direct pattern matching
Ok(ref data) => Some(data)
_ => None,
}
}.map(|data| {
// use `data` - the lock better be held
})
Read this issue for more detail.
So you need to lock outside your match statement:
let x = a.clone().lock().await.do_something().await;
match x {
Ok(()) => {}
Err(()) => {
a.clone().lock().await.do_something().await.unwrap();
}
}
I want to write a server using the current master branch of Hyper that saves a message that is delivered by a POST request and sends this message to every incoming GET request.
I have this, mostly copied from the Hyper examples directory:
extern crate futures;
extern crate hyper;
extern crate pretty_env_logger;
use futures::future::FutureResult;
use hyper::{Get, Post, StatusCode};
use hyper::header::{ContentLength};
use hyper::server::{Http, Service, Request, Response};
use futures::Stream;
struct Echo {
data: Vec<u8>,
}
impl Echo {
fn new() -> Self {
Echo {
data: "text".into(),
}
}
}
impl Service for Echo {
type Request = Request;
type Response = Response;
type Error = hyper::Error;
type Future = FutureResult<Response, hyper::Error>;
fn call(&self, req: Self::Request) -> Self::Future {
let resp = match (req.method(), req.path()) {
(&Get, "/") | (&Get, "/echo") => {
Response::new()
.with_header(ContentLength(self.data.len() as u64))
.with_body(self.data.clone())
},
(&Post, "/") => {
//self.data.clear(); // argh. &self is not mutable :(
// even if it was mutable... how to put the entire body into it?
//req.body().fold(...) ?
let mut res = Response::new();
if let Some(len) = req.headers().get::<ContentLength>() {
res.headers_mut().set(ContentLength(0));
}
res.with_body(req.body())
},
_ => {
Response::new()
.with_status(StatusCode::NotFound)
}
};
futures::future::ok(resp)
}
}
fn main() {
pretty_env_logger::init().unwrap();
let addr = "127.0.0.1:12346".parse().unwrap();
let server = Http::new().bind(&addr, || Ok(Echo::new())).unwrap();
println!("Listening on http://{} with 1 thread.", server.local_addr().unwrap());
server.run().unwrap();
}
How do I turn the req.body() (which seems to be a Stream of Chunks) into a Vec<u8>? I assume I must somehow return a Future that consumes the Stream and turns it into a single Vec<u8>, maybe with fold(). But I have no clue how to do that.
Hyper 0.13 provides a body::to_bytes function for this purpose.
use hyper::body;
use hyper::{Body, Response};
pub async fn read_response_body(res: Response<Body>) -> Result<String, hyper::Error> {
let bytes = body::to_bytes(res.into_body()).await?;
Ok(String::from_utf8(bytes.to_vec()).expect("response was not valid utf-8"))
}
I'm going to simplify the problem to just return the total number of bytes, instead of echoing the entire stream.
Futures 0.3
Hyper 0.13 + TryStreamExt::try_fold
See euclio's answer about hyper::body::to_bytes if you just want all the data as one giant blob.
Accessing the stream allows for more fine-grained control:
use futures::TryStreamExt; // 0.3.7
use hyper::{server::Server, service, Body, Method, Request, Response}; // 0.13.9
use std::convert::Infallible;
use tokio; // 0.2.22
#[tokio::main]
async fn main() {
let addr = "127.0.0.1:12346".parse().expect("Unable to parse address");
let server = Server::bind(&addr).serve(service::make_service_fn(|_conn| async {
Ok::<_, Infallible>(service::service_fn(echo))
}));
println!("Listening on http://{}.", server.local_addr());
if let Err(e) = server.await {
eprintln!("Error: {}", e);
}
}
async fn echo(req: Request<Body>) -> Result<Response<Body>, hyper::Error> {
let (parts, body) = req.into_parts();
match (parts.method, parts.uri.path()) {
(Method::POST, "/") => {
let entire_body = body
.try_fold(Vec::new(), |mut data, chunk| async move {
data.extend_from_slice(&chunk);
Ok(data)
})
.await;
entire_body.map(|body| {
let body = Body::from(format!("Read {} bytes", body.len()));
Response::new(body)
})
}
_ => {
let body = Body::from("Can only POST to /");
Ok(Response::new(body))
}
}
}
Unfortunately, the current implementation of Bytes is no longer compatible with TryStreamExt::try_concat, so we have to switch back to a fold.
Futures 0.1
hyper 0.12 + Stream::concat2
Since futures 0.1.14, you can use Stream::concat2 to stick together all the data into one:
fn concat2(self) -> Concat2<Self>
where
Self: Sized,
Self::Item: Extend<<Self::Item as IntoIterator>::Item> + IntoIterator + Default,
use futures::{
future::{self, Either},
Future, Stream,
}; // 0.1.25
use hyper::{server::Server, service, Body, Method, Request, Response}; // 0.12.20
use tokio; // 0.1.14
fn main() {
let addr = "127.0.0.1:12346".parse().expect("Unable to parse address");
let server = Server::bind(&addr).serve(|| service::service_fn(echo));
println!("Listening on http://{}.", server.local_addr());
let server = server.map_err(|e| eprintln!("Error: {}", e));
tokio::run(server);
}
fn echo(req: Request<Body>) -> impl Future<Item = Response<Body>, Error = hyper::Error> {
let (parts, body) = req.into_parts();
match (parts.method, parts.uri.path()) {
(Method::POST, "/") => {
let entire_body = body.concat2();
let resp = entire_body.map(|body| {
let body = Body::from(format!("Read {} bytes", body.len()));
Response::new(body)
});
Either::A(resp)
}
_ => {
let body = Body::from("Can only POST to /");
let resp = future::ok(Response::new(body));
Either::B(resp)
}
}
}
You could also convert the Bytes into a Vec<u8> via entire_body.to_vec() and then convert that to a String.
See also:
How do I convert a Vector of bytes (u8) to a string
hyper 0.11 + Stream::fold
Similar to Iterator::fold, Stream::fold takes an accumulator (called init) and a function that operates on the accumulator and an item from the stream. The result of the function must be another future with the same error type as the original. The total result is itself a future.
fn fold<F, T, Fut>(self, init: T, f: F) -> Fold<Self, F, Fut, T>
where
F: FnMut(T, Self::Item) -> Fut,
Fut: IntoFuture<Item = T>,
Self::Error: From<Fut::Error>,
Self: Sized,
We can use a Vec as the accumulator. Body's Stream implementation returns a Chunk. This implements Deref<[u8]>, so we can use that to append each chunk's data to the Vec.
extern crate futures; // 0.1.23
extern crate hyper; // 0.11.27
use futures::{Future, Stream};
use hyper::{
server::{Http, Request, Response, Service}, Post,
};
fn main() {
let addr = "127.0.0.1:12346".parse().unwrap();
let server = Http::new().bind(&addr, || Ok(Echo)).unwrap();
println!(
"Listening on http://{} with 1 thread.",
server.local_addr().unwrap()
);
server.run().unwrap();
}
struct Echo;
impl Service for Echo {
type Request = Request;
type Response = Response;
type Error = hyper::Error;
type Future = Box<futures::Future<Item = Response, Error = Self::Error>>;
fn call(&self, req: Self::Request) -> Self::Future {
match (req.method(), req.path()) {
(&Post, "/") => {
let f = req.body()
.fold(Vec::new(), |mut acc, chunk| {
acc.extend_from_slice(&*chunk);
futures::future::ok::<_, Self::Error>(acc)
})
.map(|body| Response::new().with_body(format!("Read {} bytes", body.len())));
Box::new(f)
}
_ => panic!("Nope"),
}
}
}
You could also convert the Vec<u8> body to a String.
See also:
How do I convert a Vector of bytes (u8) to a string
Output
When called from the command line, we can see the result:
$ curl -X POST --data hello http://127.0.0.1:12346/
Read 5 bytes
Warning
All of these solutions allow a malicious end user to POST an infinitely sized file, which would cause the machine to run out of memory. Depending on the intended use, you may wish to establish some kind of cap on the number of bytes read, potentially writing to the filesystem at some breakpoint.
See also:
How do I apply a limit to the number of bytes read by futures::Stream::concat2?
Most of the answers on this topic are outdated or overly complicated. The solution is pretty simple:
/*
WARNING for beginners!!! This use statement
is important so we can later use .data() method!!!
*/
use hyper::body::HttpBody;
let my_vector: Vec<u8> = request.into_body().data().await.unwrap().unwrap().to_vec();
let my_string = String::from_utf8(my_vector).unwrap();
You can also use body::to_bytes as #euclio answered. Both approaches are straight-forward! Don't forget to handle unwrap properly.
I am trying to rewrite the proxy example of Asynchronous Programming in Rust book by migrating to :
futures-preview = { version = "0.3.0-alpha.19", features = ["async-await"]}`
hyper = "0.13.0-alpha.4"`
from:
futures-preview = { version = "=0.3.0-alpha.17", features = ["compat"] }`
hyper = "0.12.9"
The current example converts the returned Future from a futures 0.3 into a futures 0.1, because hyper = "0.12.9" is not compatible with futures 0.3's async/await.
My code:
use {
futures::future::{FutureExt, TryFutureExt},
hyper::{
rt::run,
service::{make_service_fn, service_fn},
Body, Client, Error, Request, Response, Server, Uri,
},
std::net::SocketAddr,
std::str::FromStr,
};
fn forward_uri<B>(forward_url: &'static str, req: &Request<B>) -> Uri {
let forward_uri = match req.uri().query() {
Some(query) => format!("{}{}?{}", forward_url, req.uri().path(), query),
None => format!("{}{}", forward_url, req.uri().path()),
};
Uri::from_str(forward_uri.as_str()).unwrap()
}
async fn call(
forward_url: &'static str,
mut _req: Request<Body>,
) -> Result<Response<Body>, hyper::Error> {
*_req.uri_mut() = forward_uri(forward_url, &_req);
let url_str = forward_uri(forward_url, &_req);
let res = Client::new().get(url_str).await;
res
}
async fn run_server(forward_url: &'static str, addr: SocketAddr) {
let forwarded_url = forward_url;
let serve_future = service_fn(move |req| call(forwarded_url, req).boxed());
let server = Server::bind(&addr).serve(serve_future);
if let Err(err) = server.await {
eprintln!("server error: {}", err);
}
}
fn main() {
// Set the address to run our socket on.
let addr = SocketAddr::from(([127, 0, 0, 1], 3000));
let url = "http://127.0.0.1:9061";
let futures_03_future = run_server(url, addr);
run(futures_03_future);
}
First, I receive this error for server in run_server function:
the trait tower_service::Service<&'a
hyper::server::tcp::addr_stream::AddrStream> is not implemented for
hyper::service::service::ServiceFn<[closure#src/main.rs:35:35: 35:78
forwarded_url:_], hyper::body::body::Body>
Also, I cannot use hyper::rt::run because it might have been implemented differently in hyper = 0.13.0-alpha.4.
I will be grateful if you tell me your ideas on how to fix it.
By this issue, to create a new service for each connection you need to create MakeService in hyper = "0.13.0-alpha.4". You can create MakeService with a closure by using make_service_fn.
Also, I cannot use hyper::rt::run because it might have been implemented differently in hyper = 0.13.0-alpha.4.
Correct, under the hood hyper::rt::run was calling tokio::run, it has been removed from the api but currently i don't know the reason. You can run your future with calling tokio::run by yourself or use #[tokio::main] annotation. To do this you need to add tokio to your cargo:
#this is the version of tokio inside hyper "0.13.0-alpha.4"
tokio = "=0.2.0-alpha.6"
then change your run_server like this:
async fn run_server(forward_url: &'static str, addr: SocketAddr) {
let server = Server::bind(&addr).serve(make_service_fn(move |_| {
async move { Ok::<_, Error>(service_fn(move |req| call(forward_url, req))) }
}));
if let Err(err) = server.await {
eprintln!("server error: {}", err);
}
}
and main :
#[tokio::main]
async fn main() -> () {
// Set the address to run our socket on.
let addr = SocketAddr::from(([127, 0, 0, 1], 3000));
let url = "http://www.google.com:80"; // i have tested with google
run_server(url, addr).await
}