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<ol class="chapter"><li class="affix"><a href="introduction.html">Introduction</a></li><li><a href="0_background_information.html"><strong aria-hidden="true">1.</strong> Background information</a></li><li><a href="1_futures_in_rust.html"><strong aria-hidden="true">2.</strong> Futures in Rust</a></li><li><a href="2_waker_context.html"><strong aria-hidden="true">3.</strong> Waker and Context</a></li><li><a href="3_generators_pin.html"><strong aria-hidden="true">4.</strong> Generators</a></li><li><a href="4_pin.html"><strong aria-hidden="true">5.</strong> Pin</a></li><li><a href="6_future_example.html" class="active"><strong aria-hidden="true">6.</strong> Futures - our main example</a></li><li><a href="8_finished_example.html"><strong aria-hidden="true">7.</strong> Finished example (editable)</a></li><li class="affix"><a href="conclusion.html">Conclusion and exercises</a></li></ol>
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<h1><a class="header" href="#futures-in-rust" id="futures-in-rust">Futures in Rust</a></h1>
<p>We'll create our own <code>Futures</code> together with a fake reactor and a simple
executor which allows you to edit, run an play around with the code right here
in your browser.</p>
<p>I'll walk you through the example, but if you want to check it out closer, you
can always <a href="https://github.com/cfsamson/examples-futures">clone the repository</a> and play around with the code yourself.</p>
<p>There are several branches explained in the readme, but two are
relevant for this chapter. The <code>main</code> branch is the example we go through here,
and the <code>basic_example_commented</code> branch is this example with extensive
comments.</p>
<blockquote>
<p>If you want to follow along as we go through, initialize a new cargo project
by creating a new folder and run <code>cargo init</code> inside it. Everything we write
here will be in <code>main.rs</code></p>
</blockquote>
<h2><a class="header" href="#implementing-our-own-futures" id="implementing-our-own-futures">Implementing our own Futures</a></h2>
<p>Let's start off by getting all our imports right away so you can follow along</p>
<pre><code class="language-rust noplaypen ignore">use std::{
future::Future, pin::Pin, sync::{mpsc::{channel, Sender}, Arc, Mutex},
task::{Context, Poll, RawWaker, RawWakerVTable, Waker},
thread::{self, JoinHandle}, time::{Duration, Instant}
};
</code></pre>
<h2><a class="header" href="#the-executor" id="the-executor">The Executor</a></h2>
<p>The executors responsibility is to take one or more futures and run them to completion.</p>
<p>The first thing an <code>executor</code> does when it gets a <code>Future</code> is polling it.</p>
<p><strong>When polled one of three things can happen:</strong></p>
<ul>
<li>The future returns <code>Ready</code> and we schedule whatever chained operations to run</li>
<li>The future hasn't been polled before so we pass it a <code>Waker</code> and suspend it</li>
<li>The futures has been polled before but is not ready and returns <code>Pending</code></li>
</ul>
<p>Rust provides a way for the Reactor and Executor to communicate through the <code>Waker</code>. The reactor stores this <code>Waker</code> and calls <code>Waker::wake()</code> on it once
a <code>Future</code> has resolved and should be polled again.</p>
<p><strong>Our Executor will look like this:</strong></p>
<pre><code class="language-rust noplaypen ignore">// Our executor takes any object which implements the `Future` trait
fn block_on&lt;F: Future&gt;(mut future: F) -&gt; F::Output {
// the first thing we do is to construct a `Waker` which we'll pass on to
// the `reactor` so it can wake us up when an event is ready.
let mywaker = Arc::new(MyWaker{ thread: thread::current() });
let waker = waker_into_waker(Arc::into_raw(mywaker));
// The context struct is just a wrapper for a `Waker` object. Maybe in the
// future this will do more, but right now it's just a wrapper.
let mut cx = Context::from_waker(&amp;waker);
// So, since we run this on one thread and run one future to completion
// we can pin the `Future` to the stack. This is unsafe, but saves an
// allocation. We could `Box::pin` it too if we wanted. This is however
// safe since we shadow `future` so it can't be accessed again and will
// not move until it's dropped.
let mut future = unsafe { Pin::new_unchecked(&amp;mut future) };
// We poll in a loop, but it's not a busy loop. It will only run when
// an event occurs, or a thread has a &quot;spurious wakeup&quot; (an unexpected wakeup
// that can happen for no good reason).
let val = loop {
match Future::poll(pinned, &amp;mut cx) {
// when the Future is ready we're finished
Poll::Ready(val) =&gt; break val,
// If we get a `pending` future we just go to sleep...
Poll::Pending =&gt; thread::park(),
};
};
val
}
</code></pre>
<p>Inn all the examples here I've chose to comment the code extensively. I find it
easier to follow that way than dividing if up into many paragraphs.</p>
<p>We'll see more about the <code>Waker</code> in the next paragraph, but just look at it like
a <em>trait object</em> similar to the one we constructed in the first chapter.</p>
<blockquote>
<p><code>Context</code> is just a wrapper around the <code>Waker</code>. At the time of writing this
book it's nothing more. In the future it might be possible that the <code>Context</code>
object will do more than just wrapping a <code>Future</code> so having this extra
abstraction gives some flexibility.</p>
</blockquote>
<p>You'll notice how we use <code>Pin</code> here to pin the future when we poll it.</p>
<p>Now that you've read so much about <code>Generators</code> and <code>Pin</code> already this should
be rather easy to understand. <code>Future</code> is a state machine, every <code>await</code> point
is a <code>yield</code> point. We could borrow data across <code>await</code> points and we meet the
exact same challenges as we do when borrowing across <code>yield</code> points.</p>
<p>As we explained in the <a href="./3_generators_pin.html">chapter about generators</a>, we use
<code>Pin</code> and the guarantees that give us to allow <code>Futures</code> to have self
references.</p>
<h2><a class="header" href="#the-future-implementation" id="the-future-implementation">The <code>Future</code> implementation</a></h2>
<p>In Rust we call an interruptible task a <code>Future</code>. Futures has a well defined interface, which means they can be used across the entire ecosystem. We can chain
these <code>Futures</code> so that once a &quot;leaf future&quot; is ready we'll perform a set of
operations.</p>
<p>These chained operations can spawn new leaf futures themselves.</p>
<p><strong>Our Future implementation looks like this:</strong></p>
<pre><code class="language-rust noplaypen ignore">// This is the definition of our `Waker`. We use a regular thread-handle here.
// It works but it's not a good solution. It's easy to fix though, I'll explain
// after this code snippet.
#[derive(Clone)]
struct MyWaker {
thread: thread::Thread,
}
// This is the definition of our `Future`. It keeps all the information we
// need. This one holds a reference to our `reactor`, that's just to make
// this example as easy as possible. It doesn't need to hold a reference to
// the whole reactor, but it needs to be able to register itself with the
// reactor.
#[derive(Clone)]
pub struct Task {
id: usize,
reactor: Arc&lt;Mutex&lt;Reactor&gt;&gt;,
data: u64,
is_registered: bool,
}
// These are function definitions we'll use for our waker. Remember the
// &quot;Trait Objects&quot; chapter earlier.
fn mywaker_wake(s: &amp;MyWaker) {
let waker_ptr: *const MyWaker = s;
let waker_arc = unsafe {Arc::from_raw(waker_ptr)};
waker_arc.thread.unpark();
}
// Since we use an `Arc` cloning is just increasing the refcount on the smart
// pointer.
fn mywaker_clone(s: &amp;MyWaker) -&gt; RawWaker {
let arc = unsafe { Arc::from_raw(s) };
std::mem::forget(arc.clone()); // increase ref count
RawWaker::new(Arc::into_raw(arc) as *const (), &amp;VTABLE)
}
// This is actually a &quot;helper funtcion&quot; to create a `Waker` vtable. In contrast
// to when we created a `Trait Object` from scratch we don't need to concern
// ourselves with the actual layout of the `vtable` and only provide a fixed
// set of functions
const VTABLE: RawWakerVTable = unsafe {
RawWakerVTable::new(
|s| mywaker_clone(&amp;*(s as *const MyWaker)), // clone
|s| mywaker_wake(&amp;*(s as *const MyWaker)), // wake
|s| mywaker_wake(*(s as *const &amp;MyWaker)), // wake by ref
|s| drop(Arc::from_raw(s as *const MyWaker)), // decrease refcount
)
};
// Instead of implementing this on the `MyWaker` oject in `impl Mywaker...` we
// just use this pattern instead since it saves us some lines of code.
fn waker_into_waker(s: *const MyWaker) -&gt; Waker {
let raw_waker = RawWaker::new(s as *const (), &amp;VTABLE);
unsafe { Waker::from_raw(raw_waker) }
}
impl Task {
fn new(reactor: Arc&lt;Mutex&lt;Reactor&gt;&gt;, data: u64, id: usize) -&gt; Self {
Task {
id,
reactor,
data,
is_registered: false,
}
}
}
// This is our `Future` implementation
impl Future for Task {
// The output for our kind of `leaf future` is just an `usize`. For other
// futures this could be something more interesting like a byte array.
type Output = usize;
fn poll(mut self: Pin&lt;&amp;mut Self&gt;, cx: &amp;mut Context&lt;'_&gt;) -&gt; Poll&lt;Self::Output&gt; {
let mut r = self.reactor.lock().unwrap();
// we check with the `Reactor` if this future is in its &quot;readylist&quot;
// i.e. if it's `Ready`
if r.is_ready(self.id) {
// if it is, we return the data. In this case it's just the ID of
// the task since this is just a very simple example.
Poll::Ready(self.id)
} else if self.is_registered {
// If the future is registered alredy, we just return `Pending`
Poll::Pending
} else {
// If we get here, it must be the first time this `Future` is polled
// so we register a task with our `reactor`
r.register(self.data, cx.waker().clone(), self.id);
// oh, we have to drop the lock on our `Mutex` here because we can't
// have a shared and exclusive borrow at the same time
drop(r);
self.is_registered = true;
Poll::Pending
}
}
}
</code></pre>
<p>This is mostly pretty straight forward. The confusing part is the strange way
we need to construct the <code>Waker</code>, but since we've already created our own
<em>trait objects</em> from raw parts, this looks pretty familiar. Actually, it's
even a bit easier.</p>
<p>We use an <code>Arc</code> here to pass out a ref-counted borrow of our <code>MyWaker</code>. This
is pretty normal, and makes this easy and safe to work with. Cloning a <code>Waker</code>
is just increasing the refcount in this case.</p>
<p>Dropping a <code>Waker</code> is as easy as decreasing the refcount. Now, in special
cases we could choose to not use an <code>Arc</code>. So this low-level method is there
to allow such cases. </p>
<p>Indeed, if we only used <code>Arc</code> there is no reason for us to go through all the
trouble of creating our own <code>vtable</code> and a <code>RawWaker</code>. We could just implement
a normal trait.</p>
<p>Fortunately, in the future this will probably be possible in the standard
library as well. For now, <a href="https://rust-lang-nursery.github.io/futures-api-docs/0.3.0-alpha.13/futures/task/trait.ArcWake.html">this trait lives in the nursery</a>, but my
guess is that this will be a part of the standard library after som maturing.</p>
<p>We choose to pass in a reference to the whole <code>Reactor</code> here. This isn't normal.
The reactor will often be a global resource which let's us register interests
without passing around a reference.</p>
<blockquote>
<h3><a class="header" href="#why-using-thread-parkunpark-is-a-bad-idea-for-a-library" id="why-using-thread-parkunpark-is-a-bad-idea-for-a-library">Why using thread park/unpark is a bad idea for a library</a></h3>
<p>It could deadlock easily since anyone could get a handle to the <code>executor thread</code>
and call park/unpark on it.</p>
<ol>
<li>A future could call <code>unpark</code> on the executor thread from a different thread</li>
<li>Our <code>executor</code> thinks that data is ready and wakes up and polls the future</li>
<li>The future is not ready yet when polled, but at that exact same time the
<code>Reactor</code> gets an event and calls <code>wake()</code> which also unparks our thread.</li>
<li>This could happen before we go to sleep again since these processes
run in parallel.</li>
<li>Our reactor has called <code>wake</code> but our thread is still sleeping since it was
awake already at that point.</li>
<li>We're deadlocked and our program stops working</li>
</ol>
</blockquote>
<blockquote>
<p>There is also the case that our thread could have what's called a
<code>spurious wakeup</code> (<a href="https://cfsamson.github.io/book-exploring-async-basics/9_3_http_module.html#bonus-section">which can happen unexpectedly</a>), which
could cause the same deadlock if we're unlucky.</p>
</blockquote>
<p>There are several better solutions, here are some:</p>
<ul>
<li>Use <a href="https://doc.rust-lang.org/stable/std/sync/struct.Condvar.html">std::sync::CondVar</a></li>
<li>Use <a href="https://docs.rs/crossbeam/0.7.3/crossbeam/sync/struct.Parker.html">crossbeam::sync::Parker</a></li>
</ul>
<h2><a class="header" href="#the-reactor" id="the-reactor">The Reactor</a></h2>
<p>This is the home stretch, and not strictly <code>Future</code> related, but we need one
to have an example to run.</p>
<p>Since concurrency mostly makes sense when interacting with the outside world (or
at least some peripheral), we need something to actually abstract over this
interaction in an asynchronous way. </p>
<p>This is the <code>Reactors</code> job. Most often you'll see reactors in Rust use a library called <a href="https://github.com/tokio-rs/mio">Mio</a>, which provides non
blocking APIs and event notification for several platforms.</p>
<p>The reactor will typically give you something like a <code>TcpStream</code> (or any other resource) which you'll use to create an I/O request. What you get in return
is a <code>Future</code>. </p>
<blockquote>
<p>If the <code>Reactor</code> is registered as a global resource (which
is pretty normal), our <code>Task</code> in would instead be a special <code>TcpStream</code> which
registers interest with the global <code>Reactor</code> and no reference is needed.</p>
</blockquote>
<p>We can call this kind of <code>Future</code> a &quot;leaf Future&quot;, since it's some operation
we'll actually wait on and which we can chain operations on which are performed
once the leaf future is ready.</p>
<p>The reactor we create here will also create <strong>leaf-futures</strong>, accept a waker and
call it once the task is finished.</p>
<p>The task we're implementing is the simplest I could find. It's a timer that
only spawns a thread and puts it to sleep for a number of seconds we specify
when acquiring the leaf-future.</p>
<p>To be able to run the code here in the browser there is not much real I/O we
can do so just pretend that this is actually represents some useful I/O operation
for the sake of this example.</p>
<p><strong>Our Reactor will look like this:</strong></p>
<pre><code class="language-rust noplaypen ignore">// This is a &quot;fake&quot; reactor. It does no real I/O, but that also makes our
// code possible to run in the book and in the playground
struct Reactor {
// we need some way of registering a Task with the reactor. Normally this
// would be an &quot;interest&quot; in an I/O event
dispatcher: Sender&lt;Event&gt;,
handle: Option&lt;JoinHandle&lt;()&gt;&gt;,
// This is a list of tasks that are ready, which means they should be polled
// for data.
readylist: Arc&lt;Mutex&lt;Vec&lt;usize&gt;&gt;&gt;,
}
// We just have two kind of events. An event called `Timeout`
// and a `Close` event to close down our reactor.
#[derive(Debug)]
enum Event {
Close,
Timeout(Waker, u64, usize),
}
impl Reactor {
fn new() -&gt; Self {
// The way we register new events with our reactor is using a regular
// channel
let (tx, rx) = channel::&lt;Event&gt;();
let readylist = Arc::new(Mutex::new(vec![]));
let rl_clone = readylist.clone();
// This `Vec` will hold handles to all threads we spawn so we can
// join them later on and finish our programm in a good manner
let mut handles = vec![];
// This will be the &quot;Reactor thread&quot;
let handle = thread::spawn(move || {
for event in rx {
let rl_clone = rl_clone.clone();
match event {
// If we get a close event we break out of the loop we're in
Event::Close =&gt; break,
Event::Timeout(waker, duration, id) =&gt; {
// When we get an event we simply spawn a new thread
// which will simulate some I/O resource...
let event_handle = thread::spawn(move || {
//... by sleeping for the number of seconds
// we provided when creating the `Task`.
thread::sleep(Duration::from_secs(duration));
// When it's done sleeping we put the ID of this task
// on the &quot;readylist&quot;
rl_clone.lock().map(|mut rl| rl.push(id)).unwrap();
// Then we call `wake` which will wake up our
// executor and start polling the futures
waker.wake();
});
handles.push(event_handle);
}
}
}
// When we exit the Reactor we first join all the handles on
// the child threads we've spawned so we catch any panics and
// release any resources.
for handle in handles {
handle.join().unwrap();
}
});
Reactor {
readylist,
dispatcher: tx,
handle: Some(handle),
}
}
fn register(&amp;mut self, duration: u64, waker: Waker, data: usize) {
// registering an event is as simple as sending an `Event` through
// the channel.
self.dispatcher
.send(Event::Timeout(waker, duration, data))
.unwrap();
}
fn close(&amp;mut self) {
self.dispatcher.send(Event::Close).unwrap();
}
// We need a way to check if any event's are ready. This will simply
// look through the &quot;readylist&quot; for an event macthing the ID we want to
// check for.
fn is_ready(&amp;self, id_to_check: usize) -&gt; bool {
self.readylist
.lock()
.map(|rl| rl.iter().any(|id| *id == id_to_check))
.unwrap()
}
}
// When our `Reactor` is dropped we join the reactor thread with the thread
// owning our `Reactor` so we catch any panics and release all resources.
// It's not needed for this to work, but it really is a best practice to join
// all threads you spawn.
impl Drop for Reactor {
fn drop(&amp;mut self) {
self.handle.take().map(|h| h.join().unwrap()).unwrap();
}
}
</code></pre>
<p>It's a lot of code though, but essentially we just spawn off a new thread
and make it sleep for some time which we specify when we create a <code>Task</code>.</p>
<p>Now, let's test our code and see if it works. This code is actually runnable
if you press the &quot;play&quot; button. Since we're sleeping for a couple of seconds
here, just give it some time to run.</p>
<p>In the last chapter we have the <a href="./8_finished_example.html">whole 200 lines in an editable window</a>. You can
also copy that or edit it right in this book.</p>
<pre><pre class="playpen"><code class="language-rust edition2018"># use std::{
# future::Future, pin::Pin, sync::{mpsc::{channel, Sender}, Arc, Mutex},
# task::{Context, Poll, RawWaker, RawWakerVTable, Waker},
# thread::{self, JoinHandle}, time::{Duration, Instant}
# };
#
fn main() {
// This is just to make it easier for us to see when our Future was resolved
let start = Instant::now();
// Many runtimes create a glocal `reactor` we pass it as an argument
let reactor = Reactor::new();
// Since we'll share this between threads we wrap it in a
// atmically-refcounted- mutex.
let reactor = Arc::new(Mutex::new(reactor));
// We create two tasks:
// - first parameter is the `reactor`
// - the second is a timeout in seconds
// - the third is an `id` to identify the task
let future1 = Task::new(reactor.clone(), 1, 1);
let future2 = Task::new(reactor.clone(), 2, 2);
// an `async` block works the same way as an `async fn` in that it compiles
// our code into a state machine, `yielding` at every `await` point.
let fut1 = async {
let val = future1.await;
let dur = (Instant::now() - start).as_secs_f32();
println!(&quot;Future got {} at time: {:.2}.&quot;, val, dur);
};
let fut2 = async {
let val = future2.await;
let dur = (Instant::now() - start).as_secs_f32();
println!(&quot;Future got {} at time: {:.2}.&quot;, val, dur);
};
// Our executor can only run one and one future, this is pretty normal
// though. You have a set of operations containing many futures that
// ends up as a single future that drives them all to completion.
let mainfut = async {
fut1.await;
fut2.await;
};
// This executor will block the main thread until the futures is resolved
block_on(mainfut);
// When we're done, we want to shut down our reactor thread so our program
// ends nicely.
reactor.lock().map(|mut r| r.close()).unwrap();
}
# // ============================= EXECUTOR ====================================
# fn block_on&lt;F: Future&gt;(mut future: F) -&gt; F::Output {
# let mywaker = Arc::new(MyWaker{ thread: thread::current() });
# let waker = waker_into_waker(Arc::into_raw(mywaker));
# let mut cx = Context::from_waker(&amp;waker);
# let val = loop {
# let pinned = unsafe { Pin::new_unchecked(&amp;mut future) };
# match Future::poll(pinned, &amp;mut cx) {
# Poll::Ready(val) =&gt; break val,
# Poll::Pending =&gt; thread::park(),
# };
# };
# val
# }
#
# // ====================== FUTURE IMPLEMENTATION ==============================
# #[derive(Clone)]
# struct MyWaker {
# thread: thread::Thread,
# }
#
# #[derive(Clone)]
# pub struct Task {
# id: usize,
# reactor: Arc&lt;Mutex&lt;Reactor&gt;&gt;,
# data: u64,
# is_registered: bool,
# }
#
# fn mywaker_wake(s: &amp;MyWaker) {
# let waker_ptr: *const MyWaker = s;
# let waker_arc = unsafe {Arc::from_raw(waker_ptr)};
# waker_arc.thread.unpark();
# }
#
# fn mywaker_clone(s: &amp;MyWaker) -&gt; RawWaker {
# let arc = unsafe { Arc::from_raw(s).clone() };
# std::mem::forget(arc.clone()); // increase ref count
# RawWaker::new(Arc::into_raw(arc) as *const (), &amp;VTABLE)
# }
#
# const VTABLE: RawWakerVTable = unsafe {
# RawWakerVTable::new(
# |s| mywaker_clone(&amp;*(s as *const MyWaker)), // clone
# |s| mywaker_wake(&amp;*(s as *const MyWaker)), // wake
# |s| mywaker_wake(*(s as *const &amp;MyWaker)), // wake by ref
# |s| drop(Arc::from_raw(s as *const MyWaker)), // decrease refcount
# )
# };
#
# fn waker_into_waker(s: *const MyWaker) -&gt; Waker {
# let raw_waker = RawWaker::new(s as *const (), &amp;VTABLE);
# unsafe { Waker::from_raw(raw_waker) }
# }
#
# impl Task {
# fn new(reactor: Arc&lt;Mutex&lt;Reactor&gt;&gt;, data: u64, id: usize) -&gt; Self {
# Task {
# id,
# reactor,
# data,
# is_registered: false,
# }
# }
# }
#
# impl Future for Task {
# type Output = usize;
# fn poll(mut self: Pin&lt;&amp;mut Self&gt;, cx: &amp;mut Context&lt;'_&gt;) -&gt; Poll&lt;Self::Output&gt; {
# let mut r = self.reactor.lock().unwrap();
# if r.is_ready(self.id) {
# Poll::Ready(self.id)
# } else if self.is_registered {
# Poll::Pending
# } else {
# r.register(self.data, cx.waker().clone(), self.id);
# drop(r);
# self.is_registered = true;
# Poll::Pending
# }
# }
# }
#
# // =============================== REACTOR ===================================
# struct Reactor {
# dispatcher: Sender&lt;Event&gt;,
# handle: Option&lt;JoinHandle&lt;()&gt;&gt;,
# readylist: Arc&lt;Mutex&lt;Vec&lt;usize&gt;&gt;&gt;,
# }
# #[derive(Debug)]
# enum Event {
# Close,
# Timeout(Waker, u64, usize),
# }
#
# impl Reactor {
# fn new() -&gt; Self {
# let (tx, rx) = channel::&lt;Event&gt;();
# let readylist = Arc::new(Mutex::new(vec![]));
# let rl_clone = readylist.clone();
# let mut handles = vec![];
# let handle = thread::spawn(move || {
# // This simulates some I/O resource
# for event in rx {
# println!(&quot;REACTOR: {:?}&quot;, event);
# let rl_clone = rl_clone.clone();
# match event {
# Event::Close =&gt; break,
# Event::Timeout(waker, duration, id) =&gt; {
# let event_handle = thread::spawn(move || {
# thread::sleep(Duration::from_secs(duration));
# rl_clone.lock().map(|mut rl| rl.push(id)).unwrap();
# waker.wake();
# });
#
# handles.push(event_handle);
# }
# }
# }
#
# for handle in handles {
# handle.join().unwrap();
# }
# });
#
# Reactor {
# readylist,
# dispatcher: tx,
# handle: Some(handle),
# }
# }
#
# fn register(&amp;mut self, duration: u64, waker: Waker, data: usize) {
# self.dispatcher
# .send(Event::Timeout(waker, duration, data))
# .unwrap();
# }
#
# fn close(&amp;mut self) {
# self.dispatcher.send(Event::Close).unwrap();
# }
#
# fn is_ready(&amp;self, id_to_check: usize) -&gt; bool {
# self.readylist
# .lock()
# .map(|rl| rl.iter().any(|id| *id == id_to_check))
# .unwrap()
# }
# }
#
# impl Drop for Reactor {
# fn drop(&amp;mut self) {
# self.handle.take().map(|h| h.join().unwrap()).unwrap();
# }
# }
</code></pre></pre>
<p>I added a debug printout of the events the reactor registered interest for so we can observe
two things:</p>
<ol>
<li>How the <code>Waker</code> object looks just like the <em>trait object</em> we talked about in an earlier chapter</li>
<li>In what order the events register interest with the reactor</li>
</ol>
<p>The last point is relevant when we move on the the last paragraph.</p>
<h2><a class="header" href="#asyncawait-and-concurrent-futures" id="asyncawait-and-concurrent-futures">Async/Await and concurrent Futures</a></h2>
<p>The <code>async</code> keyword can be used on functions as in <code>async fn(...)</code> or on a
block as in <code>async { ... }</code>. Both will turn your function, or block, into a
<code>Future</code>.</p>
<p>These <code>Futures</code> are rather simple. Imagine our generator from a few chapters
back. Every <code>await</code> point is like a <code>yield</code> point.</p>
<p>Instead of <code>yielding</code> a value we pass in, it yields the <code>Future</code> we're awaiting,
so when we poll a future the first time we run the code up until the first
<code>await</code> point where it yields a new Future we poll and so on until we reach
a <strong>leaf-future</strong>.</p>
<p>Now, as is the case in our code, our <code>mainfut</code> contains two non-leaf futures
which it awaits, and all that happens is that these state machines are polled
until some &quot;leaf future&quot; in the end either returns <code>Ready</code> or <code>Pending</code>.</p>
<p>The way our example is right now, it's not much better than regular synchronous
code. For us to actually await multiple futures at the same time we somehow need
to <code>spawn</code> them so they're polled once, but does not cause our thread to sleep
and wait for them one after one.</p>
<p>Our example as it stands now returns this:</p>
<pre><code class="language-ignore">Future got 1 at time: 1.00.
Future got 2 at time: 3.00.
</code></pre>
<p>If these <code>Futures</code> were executed asynchronously we would expect to see:</p>
<pre><code class="language-ignore">Future got 1 at time: 1.00.
Future got 2 at time: 2.00.
</code></pre>
<p>Now, this is the point where I'll refer you to some better resources for
implementing just that. You should have a pretty good understanding of the
concept of Futures by now.</p>
<p>The next step should be getting to know how more advanced runtimes work and
how they implement different ways of running Futures to completion.</p>
<p>I <a href="./conclusion.html#building-a-better-exectuor">challenge you to create a better version</a>.</p>
<p>That's actually it for now. There are probably much more to learn, but I think it
will be easier once the fundamental concepts are there and that further
exploration will get a lot easier. </p>
<p>Don't forget the exercises in the last chapter 😊. Have fun until the next time! </p>
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