In the last episode (which is also the first episode, lol) we explored a bit of the world of concurrency by talking about locks. I mean, we didn’t use the word “concurrent” explicitly, but effectively that’s what we were talking about.
Concurrency means multiple computations are happening at the same time.
Today we’ll explore a crucial concurrency model: async/await.
Oh and don’t you think I forgot about the promise I made about async locks, they’re coming in the next post. First, though, we need to understand why async/await is even a thing, and how it actually works.
Episode 1: Async/Await
You might remember the gross example we used to illustrate what happens on a computer when different tasks are competing for resources. Here’s a refresher:
Two siblings want to use the toothbrush they share, but obviously only one of them can use it at a time. The childish, sibling-like thing to do is to say “I’m first!” before the other person. The rule is simple: whoever starts saying “I’m first” first, gets to use it.
Now the word task here is an important, deliberate choice. We’re talking about theoretical concepts, not what one programming language calls Task (and another would call Process, or Thread, or anything else). For us now, a task is simply a sequence of things a computer will do like add 1 to a variable or load a file from disk. For example, task1 could be updating a file while task2 would be printing to the screen. Here are the rough steps each task would need to accomplish:
1. task1 loads file from disk to memory (RAM)
2. task1 writes to file in memory
3. task1 saves file from memory to disk
Task2
1. task2 loads matrix of pixels from disk
2. task2 updates matrix of pixels
3. task2 writes matrix of pixes to screen
Because we want our computers to do a lot of things at once but have limited processing units (in our theoretical computer, we only have one processing unit!), clever computer people created the concept of multitasking, where tasks run intermittently to give the users the impression that everything is happening at once. Behind the scenes, however, the computer jiggles tasks like crazy to create this illusion. In our task1 and task2 examples from before, the sequence of instructions running could look like this:
2. task2 loads matrix of pixels from disk
3. task1 writes to file in memory
4. task1 saves file from memory to disk
5. task2 updates matrix of pixels
6. task2 writes matrix of pixes to screen
As you can see, the tasks are broken into pieces and jiggled by the processing unit. How would you design an algorithm to do that given a list of tasks?
Tasks
Ready? A first, naïve idea, is fairly straightforward: we use a queue of tasks being run. We cycle through this list and run a part of each task for a little bit of time. Then, when we reach the end of the queue, we go back to the beginning and do it all over again.
Seems simple enough, but a ton of issues can stem from this approach, as well as a ton of ways to solve them. Let’s implement a simple task runner following this idea. In case you’re new to the posts, the examples are in Rust, but I’ll explain the non-trivial parts.
So I’m thinking that we’ll eventually need to have a struct holding important information about our executor, but I have no idea what that is at this point, so I’ll make an empty struct for now and focus on the methods I want it to have.
impl Executor {
fn new() -> Self {
Self {}
}
}
fn main() {
let mut executor = Executor::new();
}
Okay, we have a struct, an associated new() function/method that returns a new instance of the struct, and a way to call it. The Rust compiler complains of course: “You’re not doing anything!”, it says. The compiler is right, so let’s do something. But, before we do anything, let’s also create a Task type that our executor will hold in the queue:
struct Task {}
// new!
impl Task {
fn new() -> Self {
Self {}
}
}
struct Executor {
tasks: Vec<Task>, // new: task queue
}
impl Executor {
fn new() -> Self {
Self { tasks: Vec::new() } // create new empty task queue
}
}
fn main() {
let mut executor = Executor::new();
}
I added a Task struct and a field on our executor to hold a list of tasks (in a Vec). But still, we’re not really doing anything with it. Our task should also be able to run(), so let’s add a method for this:
fn new() -> Self {
Self {}
}
fn run(&mut self) {} // new!
}
// … rest of code
run() takes the Task it refers to as a mutable reference (hence the &mut self as the first argument), this is because it will need to change something in the Task struct when run()ing. To run our tasks, we’ll add a for loop that goes from start to finish of the list, calls run() on each task, and do that for as long as we have tasks to run:
fn main() {
let mut executor = Executor::new();
// new!
while executor.tasks.len() != 0 { // while there are taks at queue
for task in executor.tasks.iter_mut() { // go over each task at queue
task.run(); // run task
}
}
}
Here we used iter_mut to get an Iterator of mutable references (remember our run() method needs to be able to mutate the struct). Now we just need to create some tasks to add to our executor:
fn main() {
let mut executor = Executor::new();
executor.tasks.push(Task::new()); // add task 1
executor.tasks.push(Task::new()); // add task 2
executor.tasks.push(Task::new()); // add task 3
while executor.tasks.len() != 0 {
for task in executor.tasks.iter_mut() {
task.run();
}
}
}
Nice. But these tasks don’t do anything! Let’s give each of them a name and make them print to the screen. This is the new entire code:
name: String,
}
impl Task {
fn new(name: String) -> Self { // new: name
Self { name: name } // new: name
}
fn run(&mut self) {
println!(“Hi from task: {}”, self.name); // new: print to screen
}
}
struct Executor {
tasks: Vec<Task>,
}
impl Executor {
fn new() -> Self {
Self { tasks: Vec::new() }
}
}
fn main() {
let mut executor = Executor::new();
// new!
executor.tasks.push(Task::new(“task1”.to_string())); // add task 1
executor.tasks.push(Task::new(“task2”.to_string())); // add task 2
executor.tasks.push(Task::new(“task3”.to_string())); // add task 3
while executor.tasks.len() != 0 {
for task in executor.tasks.iter_mut() {
task.run();
}
}
}
Wohoooo! Our code does something! Now the problem is that it never stops “doing something”. Here’s a part of the output:
Hi from task: task2
Hi from task: task3
Hi from task: task1
Hi from task: task2
Hi from task: task3
Hi from task: task1
Hi from task: task2
Hi from task: task3
Hi from task: task1
Hi from task: task2
…
What is happening here? Going back to our original idea: the plan was to have each task run for a bit, then circle back when we got to the end of the task queue, but we also need two more things: (1) a way for the task to signal it’s done and (2) remove all tasks that are done before circling back to the begining of the queue.
For the first issue, the solution is easy:
add a bool field called done to the Task struct
set the done field to false when a task is first created (inside new())
set the done field to true at the end of run()
Obs: I’ll also add a simple method is_done() to check if the task is done (note that is_done() doesn’t need &mut self, but rather &self since it just needs to read the struct, not mutate/change it).
Obs2: Don’t stress too much about &self and &mut self, as these concepts are not too important to us.
name: String,
done: bool,
}
impl Task {
fn new(name: String) -> Self {
Self {
name: name,
done: false, // new!
}
}
// new!
fn is_done(&self) -> bool {
self.done // returns self.done (equivalent to `return self.done;`, note that we don’t put a ; at the end with this approach)
}
fn run(&mut self) {
println!(“Hi from task: {}”, self.name);
self.done = true; // new!
}
}
// … rest of the code
Now for our second issue, we can remove all tasks that are done from the tasks vector. A task is done if is_done() returns true. Rather, we’ll retain() all the tasks that return false on is_done():
fn main() {
let mut executor = Executor::new();
executor.tasks.push(Task::new(“task1”.to_string())); // add task 1
executor.tasks.push(Task::new(“task2”.to_string())); // add task 2
executor.tasks.push(Task::new(“task3”.to_string())); // add task 3
while executor.tasks.len() != 0 {
for task in executor.tasks.iter_mut() {
task.run();
}
// new: clean up tasks that are done (aka retain tasks that are not done)
executor.tasks.retain(|task| !task.is_done());
}
}
Here’s our new output:
Hi from task: task2
Hi from task: task3
Eureka! Our executor runs the three tasks and stops running. Here’s the full code for the curious:
name: String,
done: bool,
}
impl Task {
fn new(name: String) -> Self {
Self {
name: name,
done: false,
}
}
fn is_done(&self) -> bool {
self.done // returns self.done (equivalent to `return self.done;`, note that we don’t put a ; at the end with this approach)
}
fn run(&mut self) {
println!(“Hi from task: {}”, self.name);
self.done = true;
}
}
struct Executor {
tasks: Vec<Task>,
}
impl Executor {
fn new() -> Self {
Self { tasks: Vec::new() }
}
}
fn main() {
let mut executor = Executor::new();
executor.tasks.push(Task::new(“task1”.to_string())); // add task 1
executor.tasks.push(Task::new(“task2”.to_string())); // add task 2
executor.tasks.push(Task::new(“task3”.to_string())); // add task 3
while executor.tasks.len() != 0 {
for task in executor.tasks.iter_mut() {
task.run();
}
// clean up tasks that are done
executor.tasks.retain(|task| !task.is_done());
}
}
Okay, but is this really what we wanted? Are we missing something? Think about it, then read on.
Async
Let’s review what we wanted in the beginning:
A first, naïve idea, is fairly straightforward: we use a queue of tasks being run. We cycle through this list and run a part of each task for a little bit of time. Then, when we reach the end of the queue, we go back to the beginning and do it all over again.
We’re missing the part where we run each task for a little bit of time. Our implementation runs each task to completion before moving on, but that’s not what we want. What if one of the tasks took a long time to run, while the next two were super quick? The two tasks would starve waiting for the processor to run them. To fix that, we’ll first make our example a bit more complicated. Here are the new tasks, see if you can understand how they work (I’ll explain below):
name: String,
done: bool,
run_counter: usize,
}
impl Task {
fn new(name: String) -> Self {
Self {
name, // this is equivalent to `name: name`
done: false,
run_counter: 0,
}
}
fn is_done(&self) -> bool {
self.done
}
fn run(&mut self) {
if self.run_counter == 100 {
self.done = true;
return;
}
self.run_counter += 1;
println!(“Hi from task: {}”, self.name);
}
}
We added a field called run_counter that starts with zero and is incremented every time we call run(). When the counter is 100 and we call run(), the done field is set to true, and the task returns. Then our executor will clean it up since is_done() == true. What this effectively does is make every task print “Hi from task {name}” 100 times. For our purposes, this simulates the task being run partially every time we call run() on it.
Ideally, however, we want our tasks to be general and flexible, that is, we want to create a task and pass a function that it’ll execute, rather than having it hardcoded in the run() method. To do that, let’s go back to our tooth-brushing example from the last post.
Let’s say Aunt Fefê brushes her teeth exactly 100 times, she’s a very meticulous lady! Nathan, however, is not as clean, he brushes his teeth 30 times, and I’ll brush mine 20 times. How would this look in terms of code?
First, we create a function that takes in the number of times a person brushes their teeth:
for i in 0..times {
println!(“Brushing teeth {}”, i);
}
}
Now, we to make our run() function execute the brush_teeth() function. There are two ways to do that in Rust: closures and function pointers. The former requires way too much magic (perhaps a topic for a future post?). Here’s how we’d adjust our Task type to use function pointers:
name: String,
done: bool,
max_runs: usize, // new!
run_counter: usize,
func: fn(usize), // new: f is a variable of type function pointer
}
impl Task {
// f is a pointer to a fn that takes a usize as first (and only) argument and returns nothing
fn new(name: String, max_runs: usize, f: fn(usize)) -> Self {
Self {
name,
done: false,
max_runs, // new!
run_counter: 0,
func: f, // new!
}
}
fn is_done(&self) -> bool {
self.done
}
fn run(&mut self) {
if self.run_counter == self.max_runs { // new: run self.max_runs times
self.done = true;
return;
}
self.run_counter += 1;
(self.func)(self.run_counter); // new!
// old: println!(“Hi from task: {}”, self.name);
}
}
fn brush_teeth(times: usize) {
for i in 0..times {
println!(“Brushing teeth {}”, i);
}
}
struct Executor {
tasks: Vec<Task>,
}
impl Executor {
fn new() -> Self {
Self { tasks: Vec::new() }
}
}
fn main() {
let mut executor = Executor::new();
let gabe = Task::new(“gabe”.to_string(), 20, brush_teeth);
let nathan = Task::new(“nathan”.to_string(), 30, brush_teeth);
let fefe = Task::new(“fefe”.to_string(), 100, brush_teeth);
executor.tasks.push(gabe);
executor.tasks.push(nathan);
executor.tasks.push(fefe);
while executor.tasks.len() != 0 {
for task in executor.tasks.iter_mut() {
task.run();
}
// clean up tasks that are done
executor.tasks.retain(|task| !task.is_done());
}
}
Summary of the changes:
Added a func field that will hold the function pointer to the Task struct.
Added a max_runs field that will hold the number of times to run brush_teeth.
Added an f and max_runs as inputs to the new() function.
Made run() call (self.func), effectively executing the function that the task holds.
Finally, we changed the call to executor.tasks.push(Task::new(…)) to include the brush_teeth function pointer and max_runs.
You might’ve noticed that this causes a new issue: Aunt Fefê brushes her teeth 5050 times! Why is that? The run() function is the culprit:
if self.run_counter == self.max_runs {
self.done = true;
return;
}
self.run_counter += 1;
(self.func)(self.run_counter); // new!
}
The issue is that run() calls self.func, which is brush_teeth(), 100 times, but each time brush_teeth() runs, it receives run_counter as an argument. In the first call, run_counter is zero, so Aunt Fefê will brush her teeth one time. The second call will have run_counter == 2, making her brush twice. In the end, she’ll brush her teeth 100 times in a single call! Adding all of those together gives us 5050 brushes when we wanted only 100 (you can thank Gauss for the calculations here). The fix is as simple as:
if self.run_counter == self.max_runs {
self.done = true;
return;
}
self.run_counter += 1;
(self.func)(1); // fixed!
}
This looks good, but our executor is still way too limited. For starters, our Task still very much depends on the func signature we’re passing. What if we wanted to run different tasks? For instance, if I’m brushing my teeth (brush_teeth(20)) while Nathan does the dishes (do_dishes(10, 20))? Now we have a problem, because these functions have different signatures (brush_teeth(usize) and do_dishes(usize, usize)), but our Task struct can only hold fn(usize), not fn(usize, usize), and certainly not both! We need an even more general and flexible approach. Enter Futures!
Note: This next section will be a bit Rust-specific, but bear with me as these concepts are important to really understand async. Also, we’d have to go through this language-specific part ragardless of the language we were using anyway.
Futures
Ever wonder what the future looks like? Here it is:
type Output;
fn poll(self: Pin<&mut Self>, cx: &mut Context<‘_>) -> Poll<Self::Output>;
}
But what are we even looking at here? First of all, let’s talk traits. Traits are what other programming languages like Java refer to as an Interface (although there might be slight differences between those definitions). In Rust, traits are a way to define general characteristics a type needs to fulfill in order to be considered “something”.
An example is in order: let’s say a general characteristic a Person needs to fulfill in order to be considered a Sibling is the ability to annoy another Sibling. This is how it would look in Rust:
fn annoy(&mut self, other: &dyn Sibling);
}
struct Person {
name: String,
}
impl Person {
fn new(name: String) -> Self {
Self { name }
}
}
impl Sibling for Person {
fn annoy(&mut self, other: &dyn Sibling) {
println!(“I am {} and I’m annoying you!”, self.name);
}
}
fn main() {
let mut gabe = Person::new(“gabriel”.to_string());
let nathan = Person::new(“nathan”.to_string());
gabe.annoy(&nathan);
}
This is good because Person is not the only type that can be Sibling, but any type that implements the annoy function. By our definition, any type MyType that implements all the functions specified in Sibling (impl Sibling for MyType) is a Sibling. Say we had an Elephant struct. As long as we corrently implement all the functions that Sibling requires, with an impl Sibling for Elephant clause, then the Elephant struct could be a Sibling as well!
This is very useful especially when we want to create functions that take or return different types. Remember our problem of Task receiving functions of both fn(usize) and fn(usize, usize)? We could just have it receive a Future and it’d be able to receive different types, as long as they’re Futures.
Now let’s go back to the Future trait:
type Output;
fn poll(self: Pin<&mut Self>, cx: &mut Context<‘_>) -> Poll<Self::Output>;
}
Here we’re basically saying: “Any type that implements the poll(self: Pin<&mut Self>, cx: &mut Context<‘_>) -> Poll<Self::Output> function is a Future”.
Obs: Another important thing to note is the Output type inside the trait. As every task/job/future will have a different output/return type, we need to specify what the output of our Future will be. This will make more sense as we impl Future for Task, so don’t worry too much about it for now.
You may be wondering what the poll function is and what it does. Great thinking! Let’s review that next.
Poll
Remember that in our original tooth brushing implementation we had to return every time we wanted to tell the executor “I’m done doing a little work“? Well, polling is a better way to do exactly that. The idea is simple:
On the executor side we poll Futures;
On the Future side we return one of two possible answers:
Poll::Pending: “I did some work but there’s still more”
Poll::Ready(T): “I did some work (or not) and I’m all done! Here’s the output T”
Poll is an enum (not to be mistaken with the function poll that returns a variable of the type enum Poll). An enum is basically a struct that represents different options, in this case, either Ready or Pending. For reference, here’s the source code for the Poll enum:
Ready(T),
Pending,
}
This is a good time to stop and appreciate how much we’ve covered so far: a lot! Come back later if you need to. Also, it might be a good idea to code along. It can be hard to understand things like the need for Poll and Future (and even traits) without actually writing code.
*clears throat*
Let’s continue.
An async implementation of our executor
Now let’s try to use Poll and Future to solve our problem. First, we’ll change our Task struct to hold a Future instead of a function pointer.
name: String,
done: bool,
future: Pin<Box<dyn Future<Output = String>>>,
}
And our new() function will take in a future as well:
Self {
name,
done: false,
future: Box::pin(future),
}
}
Again, we need to do that because a function pointer has a strict function signature (like fn(usize), which needs to be a function that takes exactly one usize and returns “nothing”). In other words, all Tasks will need to have the same function signature, while with Futures that’s not the case.
Obs: Let’s accept the concepts of “nothing”, Pin, Box, and the dyn keyword as things we need to have for our code to work. We can go into detail about why those are important in a later post.
Now we can write a poll method for our Task struct:
let binding = futures::task::noop_waker();
let mut cx = Context::from_waker(&binding);
match self.future.as_mut().poll(&mut cx) {
Poll::Ready(output) => {
self.done = true;
output
}
Poll::Pending => “Task not finished”.to_string(),
}
}
Our poll() method in turn calls poll() on a mutable reference to our future (hence the .as_mut() there). Another thing to note is that the poll() method on Futures takes in a Context, but for now we’re just using a placeholder from noop_waker() that holds no information whatsoever.
Now for the important part: we do a match (which is like a switch/case or an if/else clause, but much more powerful) and, if the return result of the poll() function is Poll::Ready(output) we set self.done = true, take that output and return it ourselves. Otherwise, if the return result is Poll::Pending we return a string saying we’re not done.
Obs: We will not go into pattern matching and how this makes match incredible in this post, again, let’s save that discussion for the future.
In our main function, things are pretty much the same:
let mut executor = Executor::new();
while executor.tasks.len() != 0 {
for task in executor.tasks.iter_mut() {
task.poll();
}
// clean up tasks that are done
executor.tasks.retain(|task| !task.is_done());
}
}
The only change was task.run() to task.poll(). But now you may be thinking: “Wait what??? We went through all that work for this?! This is stupid.”. Well, not quite. You see, there’s one thing missing in our main(), can you spot what it is? I’ll give you a hint, it’s actually three things.
We’re missing… tasks! We never spawn any! How about we do that:
let mut executor = Executor::new();
let task1 = Task::new(“first_task”.to_string(), future);
executor.tasks.push(task1);
while executor.tasks.len() != 0 {
for task in executor.tasks.iter_mut() {
task.poll();
}
// clean up tasks that are done
executor.tasks.retain(|task| !task.is_done());
}
}
Okay, now we have a task on our executor, but trying to run this code gives us:
Compiling episode-1-async v0.1.0
error[E0425]: cannot find value `future` in this scope
—> src/main.rs:10:53
|
10 | let task1 = Task::new(“first_task”.to_string(), future);
| ^^^^^^ not found in this scope
For more information about this error, try `rustc –explain E0425`.
error: could not compile `episode-1-async` (bin “default”) due to 1 previous error
We never specify a future! Come to think of it, we haven’t talked about how to create a future. Here’s how: imagine we have a function we want the task to run. All we need to do is add the async keyword to that function and some await statements inside it to tell the compiler where it should return Poll::Pending (aka saying “I’m done working a little”), like so:
async fn brush_teeth(times: usize) -> String {
for i in 0..times {
println!(“Brushing teeth {}”, i);
}
return “Done”.to_string();
}
fn main() {
let mut executor = Executor::new();
let future = brush_teeth(10); // new!
let task1 = Task::new(“first_task”.to_string(), future);
executor.tasks.push(task1);
while executor.tasks.len() != 0 {
for task in executor.tasks.iter_mut() {
task.poll();
}
// clean up tasks that are done
executor.tasks.retain(|task| !task.is_done());
}
}
This code runs just fine, but we need a final touch. Can you figure out what it is? Hint: try to figure out what the output of the following code will be versus what it should be:
for i in 0..times {
println!(“Brushing teeth {}”, i);
}
return “Done”.to_string();
}
fn main() {
let mut executor = Executor::new();
let future = brush_teeth(10);
let task1 = Task::new(“first_task”.to_string(), future);
executor.tasks.push(task1);
while executor.tasks.len() != 0 {
for task in executor.tasks.iter_mut() {
task.poll();
}
println!(“Went through all tasks once”); // new!
// clean up tasks that are done
executor.tasks.retain(|task| !task.is_done());
}
}
The output is:
Brushing teeth 1
Brushing teeth 2
Brushing teeth 3
Brushing teeth 4
Brushing teeth 5
Brushing teeth 6
Brushing teeth 7
Brushing teeth 8
Brushing teeth 9
Went through all tasks once
But it should be:
Went through all tasks once
Brushing teeth 1
Went through all tasks once
Brushing teeth 2
Went through all tasks once
Brushing teeth 3
Went through all tasks once
Brushing teeth 4
Went through all tasks once
Brushing teeth 5
Went through all tasks once
Brushing teeth 6
Went through all tasks once
Brushing teeth 7
Went through all tasks once
Brushing teeth 8
Went through all tasks once
Brushing teeth 9
Went through all tasks once
One way to let our executor know we’re done running a little is to use the pending!() macro from the futures crate. A crate is a library in Rust. A library is a collection of utilities (functions, structs, traits, enums, etc.) you can use in your code. Here’s how we’ll use this:
async fn brush_teeth(times: usize) -> String {
for i in 0..times {
println!(“Brushing teeth {}”, i);
pending!(); // new: I’m done with “a little work” (aka return Poll::Pending)
}
return “Done”.to_string(); // I’m done with all the work (aka return Poll::Ready(“Done”)
}
The use futures::pending line imports the pending!() macro. A macro is used like a function, so we can see it as that (see Appendix I for more about Rust macros). Another way of having brush_teeth() return after “a little” work is done would be to have a type BrushTeethFuture and implement the Future trait on it (impl Future for BrushTeethFuture) aka implement the poll() function which would return Poll::Pending after a single brush. In fact, that’s a good exercise for the reader: try to implement Future for a struct BrushTeethFuture, put it inside our Task, and have the Executor run it and get the expected result.
Now let’s unfold what the pending!() macro actually does. Here’s the source code for it:
use futures_core::future::Future;
use futures_core::task::{Context, Poll};
/// A macro which yields to the event loop once.
///
/// This is equivalent to returning [`Poll::Pending`](futures_core::task::Poll)
/// from a [`Future::poll`](futures_core::future::Future::poll) implementation.
/// Similarly, when using this macro, it must be ensured that [`wake`](std::task::Waker::wake)
/// is called somewhere when further progress can be made.
///
/// This macro is only usable inside of async functions, closures, and blocks.
/// It is also gated behind the `async-await` feature of this library, which is
/// activated by default.
#[macro_export]
macro_rules! pending {
() => {
$crate::__private::async_await::pending_once().await
};
}
#[doc(hidden)]
pub fn pending_once() -> PendingOnce {
PendingOnce { is_ready: false }
}
#[allow(missing_debug_implementations)]
#[doc(hidden)]
pub struct PendingOnce {
is_ready: bool,
}
impl Future for PendingOnce {
type Output = ();
fn poll(mut self: Pin<&mut Self>, _: &mut Context<‘_>) -> Poll<Self::Output> {
if self.is_ready {
Poll::Ready(())
} else {
self.is_ready = true;
Poll::Pending
}
}
}
Phew! This may look like a mess, but it’s actually pretty simple. Here’s the breakdown:
There’s a struct PendingOnce that holds an is_ready boolean field.
The Future trait is implemented for PendingOnce.
When poll() is called on PendingOnce:
If is_ready == false: set it to true and return Poll::Pending.
If is_ready == true: return Poll::Ready(()).
There’s a function pending_once() that returns an instance of the PendingOnce struct with the is_ready field set to false. Much like our Task::new() and Executor::new() functions that create initialized structs.
What all of this effectively does is create a type (a struct) that returns Poll::Pending when first poll()ing, and after that it’ll always return Poll::Ready (hence the name PendingOnce). The pending!() macro calls pending_once().await, which will make the future run. That’s all await is.
And voilà! Here’s our output now:
Went through all tasks once
Brushing teeth 1
Went through all tasks once
Brushing teeth 2
Went through all tasks once
Brushing teeth 3
Went through all tasks once
Brushing teeth 4
Went through all tasks once
Brushing teeth 5
Went through all tasks once
Brushing teeth 6
Went through all tasks once
Brushing teeth 7
Went through all tasks once
Brushing teeth 8
Went through all tasks once
Brushing teeth 9
Went through all tasks once
Went through all tasks once
As a final exercise, try to figure out why Went through all tasks once appears twice in the end.
Now of course there is one last thing (I promise) for us to do: solve our original toothbrushing problem. For that, all we need to do is add some tasks. Here’s what that would look like:
let mut executor = Executor::new();
let task_gabe = Task::new(“gabe”.to_string(), brush_teeth(20)); // new: gabe + brush_teeth(20)
let task_nat = Task::new(“nat”.to_string(), brush_teeth(30)); // new: nat + brush_teeth(30)
let task_fefe = Task::new(“fefe”.to_string(), brush_teeth(100)); // new: fefe + brush_teeth(100)
// new: push tasks
executor.tasks.push(task_gabe);
executor.tasks.push(task_nat);
executor.tasks.push(task_fefe);
while executor.tasks.len() != 0 {
for task in executor.tasks.iter_mut() {
print!(“{}: “, task.name); // new: print task.name
task.poll();
}
println!(“— Went through all tasks once”); // new: “— ” for better readability
// clean up tasks that are done
executor.tasks.retain(|task| !task.is_done());
}
}
Here’s the output for that code. Note that the executor cycles through the three tasks, but as long as gabe finishes, then only nat and fefe are alternating, until when there’s only fefe left and it runs forever:
nat: Brushing teeth 0
fefe: Brushing teeth 0
— Went through all tasks once
gabe: Brushing teeth 1
nat: Brushing teeth 1
fefe: Brushing teeth 1
— Went through all tasks once
gabe: Brushing teeth 2
nat: Brushing teeth 2
fefe: Brushing teeth 2
— Went through all tasks once
gabe: Brushing teeth 3
nat: Brushing teeth 3
fefe: Brushing teeth 3
— Went through all tasks once
gabe: Brushing teeth 4
nat: Brushing teeth 4
fefe: Brushing teeth 4
— Went through all tasks once
gabe: Brushing teeth 5
nat: Brushing teeth 5
fefe: Brushing teeth 5
— Went through all tasks once
gabe: Brushing teeth 6
nat: Brushing teeth 6
fefe: Brushing teeth 6
— Went through all tasks once
gabe: Brushing teeth 7
nat: Brushing teeth 7
fefe: Brushing teeth 7
— Went through all tasks once
gabe: Brushing teeth 8
nat: Brushing teeth 8
fefe: Brushing teeth 8
— Went through all tasks once
gabe: Brushing teeth 9
nat: Brushing teeth 9
fefe: Brushing teeth 9
— Went through all tasks once
gabe: Brushing teeth 10
nat: Brushing teeth 10
fefe: Brushing teeth 10
— Went through all tasks once
gabe: Brushing teeth 11
nat: Brushing teeth 11
fefe: Brushing teeth 11
— Went through all tasks once
gabe: Brushing teeth 12
nat: Brushing teeth 12
fefe: Brushing teeth 12
— Went through all tasks once
gabe: Brushing teeth 13
nat: Brushing teeth 13
fefe: Brushing teeth 13
— Went through all tasks once
gabe: Brushing teeth 14
nat: Brushing teeth 14
fefe: Brushing teeth 14
— Went through all tasks once
gabe: Brushing teeth 15
nat: Brushing teeth 15
fefe: Brushing teeth 15
— Went through all tasks once
gabe: Brushing teeth 16
nat: Brushing teeth 16
fefe: Brushing teeth 16
— Went through all tasks once
gabe: Brushing teeth 17
nat: Brushing teeth 17
fefe: Brushing teeth 17
— Went through all tasks once
gabe: Brushing teeth 18
nat: Brushing teeth 18
fefe: Brushing teeth 18
— Went through all tasks once
gabe: Brushing teeth 19
nat: Brushing teeth 19
fefe: Brushing teeth 19
— Went through all tasks once
gabe: nat: Brushing teeth 20
fefe: Brushing teeth 20
— Went through all tasks once
nat: Brushing teeth 21
fefe: Brushing teeth 21
— Went through all tasks once
nat: Brushing teeth 22
fefe: Brushing teeth 22
— Went through all tasks once
nat: Brushing teeth 23
fefe: Brushing teeth 23
— Went through all tasks once
nat: Brushing teeth 24
fefe: Brushing teeth 24
— Went through all tasks once
nat: Brushing teeth 25
fefe: Brushing teeth 25
— Went through all tasks once
nat: Brushing teeth 26
fefe: Brushing teeth 26
— Went through all tasks once
nat: Brushing teeth 27
fefe: Brushing teeth 27
— Went through all tasks once
nat: Brushing teeth 28
fefe: Brushing teeth 28
— Went through all tasks once
nat: Brushing teeth 29
fefe: Brushing teeth 29
— Went through all tasks once
nat: fefe: Brushing teeth 30
— Went through all tasks once
fefe: Brushing teeth 31
— Went through all tasks once
fefe: Brushing teeth 32
— Went through all tasks once
…
Appendix I: Rust Macros
Macros are processed before the actual code is compiled, and thus is an effective way to include and alter source code before compilation. On our pending_once example, the pending!() macro is defined as follows:
macro_rules! pending {
() => {
$crate::__private::async_await::pending_once().await
};
}
This roughly means that when we call it in our code, the compile will replace pending!() with futures::__private::async_await::pending_once().await. So, when compiled, our code actually looks like this:
async fn brush_teeth(times: usize) -> String {
for i in 0..times {
println!(“Brushing teeth {}”, i);
futures::__private::async_await::pending_once().await;
}
return “Done”.to_string(); // I’m done with all the work
}
In this case, the macro is a mere and simple convenience, but they can be incredibly powerful. For more information check out The Little Book of Rust Macros.
Thank you for reading! You can find the full source code for this episode at https://github.com/gmelodie/total-madness.
References
Operating Systems: Three Easy Pieces: I should note that I intentionally tried to mimic the writing style of this book, in which you make the reader stop and think before giving the answers. Huge shoutouts!
The Little Book of Rust Macros
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