Generators
Relevant for:
- Understanding how the async/await syntax works since it's how
awaitis implemented- Why we need
Pin- Why Rusts async model is very efficient
The motivation for
Generatorscan be found in RFC#2033. It's very well written and I can recommend reading through it (it talks as much about async/await as it does about generators).
The second difficult part that there seems to be a lot of questions about
is Generators and the Pin type. Since they're related we'll start off by
exploring generators first. By doing that we'll soon get to see why
we need to be able to "pin" some data to a fixed location in memory and
get an introduction to Pin as well.
Basically, there were three main options that were discussed when Rust was designing how the language would handle concurrency:
- Stackful coroutines, better known as green threads.
- Using combinators.
- Stackless coroutines, better known as generators.
Stackful coroutines/green threads
I've written about green threads before. Go check out Green Threads Explained in 200 lines of Rust if you're interested.
Green threads uses the same mechanisms as an OS does by creating a thread for each task, setting up a stack, save the CPU's state and jump from one task(thread) to another by doing a "context switch". We yield control to the scheduler which then continues running a different task.
Rust had green threads once, but they were removed before it hit 1.0. The state
of execution is stored in each stack so in such a solution there would be no need
for async, await, Futures or Pin. All this would be implementation
details for the library.
Combinators
Futures 1.0 used combinators. If you've worked with Promises in JavaScript,
you already know combinators. In Rust they look like this:
let future = Connection::connect(conn_str).and_then(|conn| {
conn.query("somerequest").map(|row|{
SomeStruct::from(row)
}).collect::<Vec<SomeStruct>>()
});
let rows: Result<Vec<SomeStruct>, SomeLibraryError> = block_on(future).unwrap();
While an effective solution there are mainly three downsides I'll focus on:
- The error messages produced could be extremely long and arcane
- Not optimal memory usage
- Did not allow to borrow across combinator steps.
Point #3, is actually a major drawback with Futures 1.0.
Not allowing borrows across suspension points ends up being very un-ergonomic and often requiring extra allocations or copying to accomplish some tasks which is inefficient.
The reason for the higher than optimal memory usage is that this is basically a callback-based approach, where each closure stores all the data it needs for computation. This means that as we chain these, the memory required to store the needed state increases with each added step.
Stackless coroutines/generators
This is the model used in Rust today. It a few notable advantages:
- It's easy to convert normal Rust code to a stackless coroutine using using async/await as keywords (it can even be done using a macro).
- No need for context switching and saving/restoring CPU state
- No need to handle dynamic stack allocation
- Very memory efficient
- Allowed for borrows across suspension points
The last point is in contrast to Futures 1.0. With async/await we can do this:
async fn myfn() {
let text = String::from("Hello world");
let borrowed = &text[0..5];
somefuture.await;
println!("{}", borrowed);
}
Generators are implemented as state machines. The memory footprint of a chain of computations is only defined by the largest footprint any single step requires. That means that adding steps to a chain of computations might not require any added memory at all.
How generators work
In Nightly Rust today you can use the yield keyword. Basically using this
keyword in a closure, converts it to a generator. A closure looking like this
(I'm going to use the terminology that's currently in Rust):
let a = 4;
let b = move || {
println!("Hello");
yield a * 2;
println!("world!");
};
if let GeneratorState::Yielded(n) = gen.resume() {
println!("Got value {}", n);
}
if let GeneratorState::Complete(()) = gen.resume() {
()
};
Early on, before there was a consensus about the design of Pin, this
compiled to something looking similar to this:
fn main() { let mut gen = GeneratorA::start(4); if let GeneratorState::Yielded(n) = gen.resume() { println!("Got value {}", n); } if let GeneratorState::Complete(()) = gen.resume() { () }; } // If you've ever wondered why the parameters are called Y and R the naming from // the original rfc most likely holds the answer enum GeneratorState<Y, R> { Yielded(Y), // originally called `Yield(Y)` Complete(R), // originally called `Return(R)` } trait Generator { type Yield; type Return; fn resume(&mut self) -> GeneratorState<Self::Yield, Self::Return>; } enum GeneratorA { Enter(i32), Yield1(i32), Exit, } impl GeneratorA { fn start(a1: i32) -> Self { GeneratorA::Enter(a1) } } impl Generator for GeneratorA { type Yield = i32; type Return = (); fn resume(&mut self) -> GeneratorState<Self::Yield, Self::Return> { // lets us get ownership over current state match std::mem::replace(&mut *self, GeneratorA::Exit) { GeneratorA::Enter(a1) => { /*|---code before yield---|*/ /*|*/ println!("Hello"); /*|*/ /*|*/ let a = a1 * 2; /*|*/ /*|------------------------|*/ *self = GeneratorA::Yield1(a); GeneratorState::Yielded(a) } GeneratorA::Yield1(_) => { /*|----code after yield----|*/ /*|*/ println!("world!"); /*|*/ /*|-------------------------|*/ *self = GeneratorA::Exit; GeneratorState::Complete(()) } GeneratorA::Exit => panic!("Can't advance an exited generator!"), } } }
The
yieldkeyword was discussed first in RFC#1823 and in RFC#1832.
Now that you know that the yield keyword in reality rewrites your code to become a state machine,
you'll also know the basics of how await works. It's very similar.
Now, there are some limitations in our naive state machine above. What happens when you have a
borrow across a yield point?
We could forbid that, but one of the major design goals for the async/await syntax has been
to allow this. These kinds of borrows were not possible using Futures 1.0 so we can't let this
limitation just slip and call it a day yet.
Instead of discussing it in theory, let's look at some code.
We'll use the optimized version of the state machines which is used in Rust today. For a more in deapth explanation see Tyler Mandry's excellent article: How Rust optimizes async/await
let a = 4;
let b = move || {
let to_borrow = String::new("Hello");
let borrowed = &to_borrow;
println!("{}", borrowed);
yield a * 2;
println!("{} world!", borrowed);
};
Now what does our rewritten state machine look like with this example?
# #![allow(unused_variables)] #fn main() { # // If you've ever wondered why the parameters are called Y and R the naming from # // the original rfc most likely holds the answer # enum GeneratorState<Y, R> { # // originally called `CoResult` # Yielded(Y), // originally called `Yield(Y)` # Complete(R), // originally called `Return(R)` # } # # trait Generator { # type Yield; # type Return; # fn resume(&mut self) -> GeneratorState<Self::Yield, Self::Return>; # } enum GeneratorA { Enter, Yield1 { to_borrow: String, borrowed: &String, // uh, what lifetime should this have? }, Exit, } # impl GeneratorA { # fn start() -> Self { # GeneratorA::Enter # } # } impl Generator for GeneratorA { type Yield = usize; type Return = (); fn resume(&mut self) -> GeneratorState<Self::Yield, Self::Return> { // lets us get ownership over current state match std::mem::replace(&mut *self, GeneratorA::Exit) { GeneratorA::Enter => { let to_borrow = String::from("Hello"); let borrowed = &to_borrow; *self = GeneratorA::Yield1 {to_borrow, borrowed}; GeneratorState::Yielded(borrowed.len()) } GeneratorA::Yield1 {to_borrow, borrowed} => { println!("Hello {}", borrowed); *self = GeneratorA::Exit; GeneratorState::Complete(()) } GeneratorA::Exit => panic!("Can't advance an exited generator!"), } } } #}
If you try to compile this you'll get an error (just try it yourself by pressing play).
What is the lifetime of &String. It's not the same as the lifetime of Self. It's not static.
Turns out that it's not possible for us in Rusts syntax to describe this lifetime, which means, that
to make this work, we'll have to let the compiler know that we control this correct.
That means turning to unsafe.
Let's try to write an implementation that will compiler using unsafe. As you'll
see we end up in a self referential struct. A struct which holds references
into itself.
As you'll notice, this compiles just fine!
pub fn main() { let mut gen = GeneratorA::start(); let mut gen2 = GeneratorA::start(); if let GeneratorState::Yielded(n) = gen.resume() { println!("Got value {}", n); } // If you uncomment this, very bad things can happen. This is why we need `Pin` // std::mem::swap(&mut gen, &mut gen2); if let GeneratorState::Yielded(n) = gen2.resume() { println!("Got value {}", n); } // if you uncomment `mem::swap`.. this should now start gen2. if let GeneratorState::Complete(()) = gen.resume() { () }; } enum GeneratorState<Y, R> { Yielded(Y), // originally called `Yield(Y)` Complete(R), // originally called `Return(R)` } trait Generator { type Yield; type Return; fn resume(&mut self) -> GeneratorState<Self::Yield, Self::Return>; } enum GeneratorA { Enter, Yield1 { to_borrow: String, borrowed: *const String, // Normally you'll see `std::ptr::NonNull` used instead of *ptr }, Exit, } impl GeneratorA { fn start() -> Self { GeneratorA::Enter } } impl Generator for GeneratorA { type Yield = usize; type Return = (); fn resume(&mut self) -> GeneratorState<Self::Yield, Self::Return> { // lets us get ownership over current state match self { GeneratorA::Enter => { let to_borrow = String::from("Hello"); let borrowed = &to_borrow; let res = borrowed.len(); // Tricks to actually get a self reference *self = GeneratorA::Yield1 {to_borrow, borrowed: std::ptr::null()}; match self { GeneratorA::Yield1{to_borrow, borrowed} => *borrowed = to_borrow, _ => unreachable!(), }; GeneratorState::Yielded(res) } GeneratorA::Yield1 {borrowed, ..} => { let borrowed: &String = unsafe {&**borrowed}; println!("{} world", borrowed); *self = GeneratorA::Exit; GeneratorState::Complete(()) } GeneratorA::Exit => panic!("Can't advance an exited generator!"), } } }
Try to uncomment the line with
mem::swapand see the result of running this code.
While the example above compiles just fine, we expose users of this code to both possible undefined behavior and other memory errors while using just safe Rust. This is a big problem!
But now, let's prevent the segfault from happening using Pin. We'll discuss
Pin more below, but you'll get an introduction here by just reading the
comments.
#![feature(optin_builtin_traits)] use std::pin::Pin; pub fn main() { let gen1 = GeneratorA::start(); let gen2 = GeneratorA::start(); // Before we pin the pointers, this is safe to do // std::mem::swap(&mut gen, &mut gen2); // constructing a `Pin::new()` on a type which does not implement `Unpin` is unsafe. // However, as I mentioned in the start of the next chapter about `Pin` a // boxed type automatically implements `Unpin` so to stay in safe Rust we can use // that to avoid unsafe. You can also use crates like `pin_utils` to do this safely, // just remember that they use unsafe under the hood so it's like using an already-reviewed // unsafe implementation. let mut pinned1 = Box::pin(gen1); let mut pinned2 = Box::pin(gen2); // Uncomment these if you think it's safe to pin the values to the stack instead // (it is in this case). Remember to comment out the two previous lines first. //let mut pinned1 = unsafe { Pin::new_unchecked(&mut gen1) }; //let mut pinned2 = unsafe { Pin::new_unchecked(&mut gen2) }; if let GeneratorState::Yielded(n) = pinned1.as_mut().resume() { println!("Got value {}", n); } if let GeneratorState::Yielded(n) = pinned2.as_mut().resume() { println!("Gen2 got value {}", n); }; // This won't work // std::mem::swap(&mut gen, &mut gen2); // This will work but will just swap the pointers. Nothing inherently bad happens here. // std::mem::swap(&mut pinned1, &mut pinned2); let _ = pinned1.as_mut().resume(); let _ = pinned2.as_mut().resume(); } enum GeneratorState<Y, R> { // originally called `CoResult` Yielded(Y), // originally called `Yield(Y)` Complete(R), // originally called `Return(R)` } trait Generator { type Yield; type Return; fn resume(self: Pin<&mut Self>) -> GeneratorState<Self::Yield, Self::Return>; } enum GeneratorA { Enter, Yield1 { to_borrow: String, borrowed: *const String, // Normally you'll see `std::ptr::NonNull` used instead of *ptr }, Exit, } impl GeneratorA { fn start() -> Self { GeneratorA::Enter } } // This tells us that the underlying pointer is not safe to move after pinning. In this case, // only we as implementors "feel" this, however, if someone is relying on our Pinned pointer // this will prevent them from moving it. You need to enable the feature flag // `#![feature(optin_builtin_traits)]` and use the nightly compiler to implement `!Unpin`. // Normally, you would use `std::marker::PhantomPinned` to indicate that the // struct is `!Unpin`. impl !Unpin for GeneratorA { } impl Generator for GeneratorA { type Yield = usize; type Return = (); fn resume(self: Pin<&mut Self>) -> GeneratorState<Self::Yield, Self::Return> { // lets us get ownership over current state let this = unsafe { self.get_unchecked_mut() }; match this { GeneratorA::Enter => { let to_borrow = String::from("Hello"); let borrowed = &to_borrow; let res = borrowed.len(); // Trick to actually get a self reference. We can't reference // the `String` earlier since these references will point to the // location in this stack frame which will not be valid anymore // when this function returns. *this = GeneratorA::Yield1 {to_borrow, borrowed: std::ptr::null()}; match this { GeneratorA::Yield1{to_borrow, borrowed} => *borrowed = to_borrow, _ => unreachable!(), }; GeneratorState::Yielded(res) } GeneratorA::Yield1 {borrowed, ..} => { let borrowed: &String = unsafe {&**borrowed}; println!("{} world", borrowed); *this = GeneratorA::Exit; GeneratorState::Complete(()) } GeneratorA::Exit => panic!("Can't advance an exited generator!"), } } }
Now, as you see, the user of this code must either:
- Box the value and thereby allocating it on the heap
- Use
unsafeand pin the value to the stack. The user knows that if they move the value afterwards it will violate the guarantee they promise to uphold when they did their unsafe implementation.
Now, the code which is created and the need for Pin to allow for borrowing
across yield points should be pretty clear.