Bridging Async and Sync Rust Code - A lesson learned while working with Tokio

Bridging Async and Sync Rust Code - A lesson learned while working with Tokio

·

8 min read

Background

Our team has diligently concentrated its efforts on the development of GreptimeDB, a high-performance, distributed time series database which is completely open-sourced.

Recently, while working on our project, we encountered an issue with calling asynchronous Rust code in a synchronous context. After investigating and resolving the issue, we gained a deeper understanding of asynchronous Rust and would like to share our experience with you.

Our project is based on Tokio, which conveniently encapsulates cooperative task running and scheduling in .await calls, making it concise and elegant. However, users who are unfamiliar with the underlying principles may encounter issues and obstacles.

Problem

The problem came up when we had to execute some asynchronous code in an implementation of a trait defined in a third-party crate, which is, unfortunately, synchronous and we can't modify its definition.

You can check here for the real-world problem that we encountered.

trait Sequencer {
    fn generate(&self) -> Vec<i32>;
}

We use a PlainSequencer to implement this trait, and it relies on some asynchronous calls when implementing the generate function (such as PlainSequencer::generate_async here):

impl PlainSequencer {
    async fn generate_async(&self)->Vec<i32>{
        let mut res = vec![];
        for i in 0..self.bound {
            res.push(i);
            tokio::time::sleep(Duration::from_millis(100)).await;
        }
        res
    }
}

impl Sequencer for PlainSequencer {
    fn generate(&self) -> Vec<i32> {
        self.generate_async().await
    }
}

The problem occurs because generate is a synchronous method that .await cannot be used inside directly.

error[E0728]: `await` is only allowed inside `async` functions and blocks
  --> src/common/tt.rs:32:30
   |
31 | /     fn generate(&self) -> Vec<i32> {
32 | |         self.generate_async().await
   | |                              ^^^^^^ only allowed inside `async` functions and blocks
33 | |     }
   | |_____- this is not `async`

To address this issue, the first thing that came to mind is to use the Runtime::block_on method of Tokio runtime, which blocks current thread until the future completes.

impl Sequencer for PlainSequencer {
    fn generate(&self) -> Vec<i32> {
        RUNTIME.block_on(async{
            self.generate_async().await
        })
    }
}

#[cfg(test)]
mod tests{
    #[tokio::test]
    async fn test_sync_method() {
        let sequencer = PlainSequencer {
            bound: 3
        };
        let vec = sequencer.generate();
        println!("vec: {:?}", vec);
    }
}

Though compiled successfully, an error occurs when running the code:

Cannot start a runtime from within a runtime. This happens because a function (like `block_on`) attempted to block the current thread while the thread is being used to drive asynchronous tasks.
thread 'tests::test_sync_method' panicked at 'Cannot start a runtime from within a runtime. This happens because a function (like `block_on`) attempted to block the current thread while the thread is being used to drive asynchronous tasks.', /Users/lei/.cargo/registry/src/github.com-1ecc6299db9ec823/tokio-1.17.0/src/runtime/enter.rs:39:9

The error suggests that it's not allowed to start another runtime from within a runtime that is currently being executed.

It seems that Tokio has implemented a check at the entry point of Runtime::block_on to prevent the above usage. Since that doesn't work, let's see if other crates have similar functions. Luckily, we found futures::executor::block_on:

impl Sequencer for PlainSequencer {
    fn generate(&self) -> Vec<i32> {
        futures::executor::block_on(async {
            self.generate_async().await
        })
    }
}

The compiling was fine as well, but the code just hung and did not return when running.

cargo test --color=always --package tokio-demo --bin tt tests::test_sync_method --no-fail-fast -- --format=json --exact -Z unstable-options --show-output
   Compiling tokio-demo v0.1.0 (/Users/lei/Workspace/Rust/learning/tokio-demo)
    Finished test [unoptimized + debuginfo] target(s) in 0.39s
     Running unittests src/common/tt.rs (target/debug/deps/tt-adb10abca6625c07)
{ "type": "suite", "event": "started", "test_count": 1 }
{ "type": "test", "event": "started", "name": "tests::test_sync_method" }

# The code just hangs here...

Although there is only one simple sleep call in the generate_async method, why is the future never completed? What makes us more confused is that for the same code snippet, it hangs in tokio::test while completes normally in tokio::main.

#[tokio::main]
pub async fn main() {
    let sequencer = PlainSequencer {
        bound: 3
    };
    let vec = sequencer.generate();
    println!("vec: {:?}", vec);
}

Exeution result:

cargo run --color=always --package tokio-demo --bin tt
    Finished dev [unoptimized + debuginfo] target(s) in 0.05s
     Running `target/debug/tt`
vec: [0, 1, 2]

Actually, it wasn't that easy to pinpoint the hanging issue when we first encountered this problem. The real world implementation involves calling remote gRPC services, leading us to suspect that the gRPC server might cause the issue. However, after network troubleshooting, we finally determined that the problem was on the client side. This experience reemphasizes the importance of abstracting the execution pattern of the problematic code and creating a Minimal Reproducible Example (MRE) to facilitate troubleshooting when encountering bugs.

Catchup

In Rust, an asynchronous code block will be compiled into a generator that implements std::future::Future by make_async_expr:

#[tokio::test]
async fn test_future() {
    let future = async{
        println!("hello");
    };

    // the above async block won't get executed until we await it.
    future.await;
}

The await point will be de-sugared to the following structure by lower_expr_await:

// pseudo-rust code
match ::std::future::IntoFuture::into_future(<expr>) {
    mut __awaitee => loop {
        match unsafe { ::std::future::Future::poll(
            <::std::pin::Pin>::new_unchecked(&mut __awaitee),
            ::std::future::get_context(task_context),
        ) } {
            ::std::task::Poll::Ready(result) => break result,
            ::std::task::Poll::Pending => {}
        }
        task_context = yield ();
    }
}

In the de-sugared pseudo code, there is a loop that continuously checks if the state of the generator is ready.

Since there must be somebody that does the chores async runtime comes into play. Rust intentionally separates the async syntax with runtime implementation to provide more choices. In this case, the de-sugared code is executed by an executor provided by Tokio.

Solve the Problem

With background knowledge equipped, let's take another look at the implementation of the method:

fn generate(&self) -> Vec<i32> {
    futures::executor::block_on(async {
        self.generate_async().await
    })
}

We know that it must be Tokio's executor who calls the generate function. Then, who is responsible for polling the future self.generate_async().await inside the block_on function? Initially, I thought that futures::executor::block_on would have an internal runtime responsible for polling generate_async, so I check the code to see how the function is implemented. (mainly into the method for futures_executor::local_pool::run_executor).

fn run_executor<T, F: FnMut(&mut Context<'_>) -> Poll<T>>(mut f: F) -> T {
    let _enter = enter().expect(
        "cannot execute `LocalPool` executor from within \
         another executor",
    );

    CURRENT_THREAD_NOTIFY.with(|thread_notify| {
        let waker = waker_ref(thread_notify);
        let mut cx = Context::from_waker(&waker);
        loop {
            if let Poll::Ready(t) = f(&mut cx) {
                return t;
            }

            // Wait for a wakeup.
            while !thread_notify.unparked.swap(false, Ordering::Acquire) {
                // No wakeup occurred. It may occur now, right before parking,
                // but in that case the token made available by `unpark()`
                // is guaranteed to still be available and `park()` is a no-op.
                thread::park();
            }
        }
    })
}

Upon the first glance of the code snippet, I immediately sensed that something was wrong. Although this method is named run_executor, there doesn't seem to have any spawn invocation within it. Instead, it continuously loops within the current thread, checking whether the future submitted by user is ready!

This means that when the Tokio runtime thread reaches this point, it immediately parks itself until the user's future is ready and unparks it. On the other hand, the user's future is executed by the same thread, which is still parking, then a deadlock is caused.

The above explanation sounds reasonable, Let's verify it now. Since we can't block in the current runtime thread, let's use another runtime to block for the result:

impl Sequencer for PlainSequencer {
    fn generate(&self) -> Vec<i32> {
        let bound = self.bound;
        futures::executor::block_on(async move {
            RUNTIME.spawn(async move {
                let mut res = vec![];
                for i in 0..bound {
                    res.push(i);
                    tokio::time::sleep(Duration::from_millis(100)).await;
                }
                res
            }).await.unwrap()
        })
    }
}

It works.

cargo test --color=always --package tokio-demo --bin tt tests::test_sync_method --no-fail-fast -- --format=json --exact -Z unstable-options --show-output
    Finished test [unoptimized + debuginfo] target(s) in 0.04s
     Running unittests src/common/tt.rs (target/debug/deps/tt-adb10abca6625c07)
vec: [0, 1, 2]

It is worth noting that in futures::executor::block_on, an additional RUNTIME is used to spawn the asynchronous code. The reason for this is as mentioned earlier, the asynchronous task requires an executor to drive its state changes. If we remove the RUNTIME, instead we spawn a new thread for futures::executor::block_on, the deadlock problem is solved, but the tokio::time::sleep method call will complain "no reactor is running" since Tokio functionalities require a runtime:

called `Result::unwrap()` on an `Err` value: Any { .. }
thread '<unnamed>' panicked at 'there is no reactor running, must be called from the context of a Tokio 1.x runtime',
...

Difference between tokio::main and tokio::test

After examining the underlying cause of the issue, it becomes evident why tokio::main does not hang whereas tokio::test does - they employ different runtimes. Specifically, tokio::main operates on a multi-threaded runtime, while tokio::test operates on a single-threaded runtime. Under a single-threaded runtime, when the present thread is blocked by futures::executor::block_on, the asynchronous code submitted by users is unable to execute, leading to deadlock as previously mentioned.

Best practice

Based on the above analysis and Rust's generator-based cooperative asynchronous characteristics, we can summarize some tips when bridging asynchronous and synchronous code in Rust:

  • Combining asynchronous code with synchronous code that can cause blocking is never a wise choice.

  • When calling asynchronous code from a synchronous context, use futures::executor::block_on and spawn the async code to a dedicated runtime, because the former will block the current thread.

  • On the other hand, if you have to call blocking synchronous code from an asynchronous context, it is recommended to use tokio::task::spawn_blocking to execute the code on a dedicated executor that handles blocking operations.

We've gleaned several tips on effectively bridging asynchronous and synchronous code in Rust above and we hope that this article would be insightful to you. If Rust programming piques your interest, or if you'd like to share your thoughts on related technical topics, we invite you to connect with us on Slack. This offers a direct channel to engage in discussions with the author and our technical team!

Our open-sourced time series database, GreptimeDB, is actively seeking contributors! Don't hesitate to raise PR or issue on GitHub, we have prepared SWAG for all new contributors! We're optimistic that through collaborative efforts within our community, we can built a more user-friendly tsdb with better performance.

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