## Graceful Shutdown and Cleanup

The code in Listing 20-21 is responding to requests asynchronously through the use of a thread pool, as we intended. We get some warnings about the `workers`, `id`, and `thread` fields that we’re not using in a direct way that reminds us we’re not cleaning up anything. When we use the less elegant ctrl-c method to halt the main thread, all other threads are stopped immediately as well, even if they’re in the middle of serving a request.

Now we’ll implement the `Drop` trait to call `join` on each of the threads in the pool so they can finish the requests they’re working on before closing. Then we’ll implement a way to tell the threads they should stop accepting new requests and shut down. To see this code in action, we’ll modify our server to accept only two requests before gracefully shutting down its thread pool.

### Implementing the `Drop` Trait on `ThreadPool`

Let’s start with implementing `Drop` on our thread pool. When the pool is dropped, our threads should all join to make sure they finish their work. Listing 20-23 shows a first attempt at a `Drop` implementation; this code won’t quite work yet.

Filename: src/lib.rs

    impl Drop for ThreadPool {
        fn drop(&mut self) {
            for worker in &mut self.workers {
                println!("Shutting down worker {}", worker.id);

                worker.thread.join().unwrap();
            }
        }
    }

Listing 20-23: Joining each thread when the thread pool goes out of scope

First, we loop through each of the thread pool `workers`. We use `&mut` for this because `self` is a mutable reference, and we also need to be able to mutate `worker`. For each worker, we print a message saying that this particular worker is shutting down, and then we call `join` on that worker’s thread. If the call to `join` fails, we use `unwrap` to make Rust panic and go into an ungraceful shutdown.

Here is the error we get when we compile this code:

    error[E0507]: cannot move out of borrowed content
      --> src/lib.rs:65:13
       |
    65 |             worker.thread.join().unwrap();
       |             ^^^^^^ cannot move out of borrowed content

The error tells us we can’t call `join` because we only have a mutable borrow of each `worker` and `join` takes ownership of its argument. To solve this issue, we need to move the thread out of the `Worker` instance that owns `thread` so `join` can consume the thread. We did this in Listing 17-15: if `Worker` holds an `Option<thread::JoinHandle<()>>` instead, we can call the `take` method on the `Option` to move the value out of the `Some` variant and leave a `None` variant in its place. In other words, a `Worker` that is running will have a `Some` variant in `thread`, and when we want to clean up a `Worker`, we’ll replace `Some` with `None` so the `Worker` doesn’t have a thread to run.

So we know we want to update the definition of `Worker` like this:

Filename: src/lib.rs

    #![allow(unused_variables)]
    fn main() {
    use std::thread;
    struct Worker {
        id: usize,
        thread: Option<thread::JoinHandle<()>>,
    }
    }

Now let’s lean on the compiler to find the other places that need to change. Checking this code, we get two errors:

    error[E0599]: no method named `join` found for type
    `std::option::Option<std::thread::JoinHandle<()>>` in the current scope
      --> src/lib.rs:65:27
       |
    65 |             worker.thread.join().unwrap();
       |                           ^^^^

    error[E0308]: mismatched types
      --> src/lib.rs:89:13
       |
    89 |             thread,
       |             ^^^^^^
       |             |
       |             expected enum `std::option::Option`, found struct
       `std::thread::JoinHandle`
       |             help: try using a variant of the expected type: `Some(thread)`
       |
       = note: expected type `std::option::Option<std::thread::JoinHandle<()>>`
                  found type `std::thread::JoinHandle<_>`

Let’s address the second error, which points to the code at the end of `Worker::new`; we need to wrap the `thread` value in `Some` when we create a new `Worker`. Make the following changes to fix this error:

Filename: src/lib.rs

    impl Worker {
        fn new(id: usize, receiver: Arc<Mutex<mpsc::Receiver<Job>>>) -> Worker {
            // --snip--

            Worker {
                id,
                thread: Some(thread),
            }
        }
    }

The first error is in our `Drop` implementation. We mentioned earlier that we intended to call `take` on the `Option` value to move `thread` out of `worker`. The following changes will do so:

Filename: src/lib.rs

    impl Drop for ThreadPool {
        fn drop(&mut self) {
            for worker in &mut self.workers {
                println!("Shutting down worker {}", worker.id);

                if let Some(thread) = worker.thread.take() {
                    thread.join().unwrap();
                }
            }
        }
    }

As discussed in Chapter 17, the `take` method on `Option` takes the `Some` variant out and leaves `None` in its place. We’re using `if let` to destructure the `Some` and get the thread; then we call `join` on the thread. If a worker’s thread is already `None`, we know that worker has already had its thread cleaned up, so nothing happens in that case.

### Signaling to the Threads to Stop Listening for Jobs

With all the changes we’ve made, our code compiles without any warnings. But the bad news is this code doesn’t function the way we want it to yet. The key is the logic in the closures run by the threads of the `Worker` instances: at the moment, we call `join`, but that won’t shut down the threads because they `loop` forever looking for jobs. If we try to drop our `ThreadPool` with our current implementation of `drop`, the main thread will block forever waiting for the first thread to finish.

To fix this problem, we’ll modify the threads so they listen for either a `Job` to run or a signal that they should stop listening and exit the infinite loop. Instead of `Job` instances, our channel will send one of these two enum variants.

Filename: src/lib.rs

    #![allow(unused_variables)]
    fn main() {
    struct Job;
    enum Message {
        NewJob(Job),
        Terminate,
    }
    }

This `Message` enum will either be a `NewJob` variant that holds the `Job` the thread should run, or it will be a `Terminate` variant that will cause the thread to exit its loop and stop.

We need to adjust the channel to use values of type `Message` rather than type `Job`, as shown in Listing 20-24.

Filename: src/lib.rs

    pub struct ThreadPool {
        workers: Vec<Worker>,
        sender: mpsc::Sender<Message>,
    }

    // --snip--

    impl ThreadPool {
        // --snip--

        pub fn execute<F>(&self, f: F)
            where
                F: FnOnce() + Send + 'static
        {
            let job = Box::new(f);

            self.sender.send(Message::NewJob(job)).unwrap();
        }
    }

    // --snip--

    impl Worker {
        fn new(id: usize, receiver: Arc<Mutex<mpsc::Receiver<Message>>>) ->
            Worker {

            let thread = thread::spawn(move ||{
                loop {
                    let message = receiver.lock().unwrap().recv().unwrap();

                    match message {
                        Message::NewJob(job) => {
                            println!("Worker {} got a job; executing.", id);

                            job.call_box();
                        },
                        Message::Terminate => {
                            println!("Worker {} was told to terminate.", id);

                            break;
                        },
                    }
                }
            });

            Worker {
                id,
                thread: Some(thread),
            }
        }
    }

Listing 20-24: Sending and receiving `Message` values and exiting the loop if a `Worker` receives `Message::Terminate`

To incorporate the `Message` enum, we need to change `Job` to `Message` in two places: the definition of `ThreadPool` and the signature of `Worker::new`. The `execute` method of `ThreadPool` needs to send jobs wrapped in the `Message::NewJob` variant. Then, in `Worker::new` where a `Message` is received from the channel, the job will be processed if the `NewJob` variant is received, and the thread will break out of the loop if the `Terminate` variant is received.

With these changes, the code will compile and continue to function in the same way as it did after Listing 20-21. But we’ll get a warning because we aren’t creating any messages of the `Terminate` variety. Let’s fix this warning by changing our `Drop` implementation to look like Listing 20-25.

Filename: src/lib.rs

    impl Drop for ThreadPool {
        fn drop(&mut self) {
            println!("Sending terminate message to all workers.");

            for _ in &mut self.workers {
                self.sender.send(Message::Terminate).unwrap();
            }

            println!("Shutting down all workers.");

            for worker in &mut self.workers {
                println!("Shutting down worker {}", worker.id);

                if let Some(thread) = worker.thread.take() {
                    thread.join().unwrap();
                }
            }
        }
    }

Listing 20-25: Sending `Message::Terminate` to the workers before calling `join` on each worker thread

We’re now iterating over the workers twice: once to send one `Terminate` message for each worker and once to call `join` on each worker’s thread. If we tried to send a message and `join` immediately in the same loop, we couldn’t guarantee that the worker in the current iteration would be the one to get the message from the channel.

To better understand why we need two separate loops, imagine a scenario with two workers. If we used a single loop to iterate through each worker, on the first iteration a terminate message would be sent down the channel and `join` called on the first worker’s thread. If that first worker was busy processing a request at that moment, the second worker would pick up the terminate message from the channel and shut down. We would be left waiting on the first worker to shut down, but it never would because the second thread picked up the terminate message. Deadlock!

To prevent this scenario, we first put all of our `Terminate` messages on the channel in one loop; then we join on all the threads in another loop. Each worker will stop receiving requests on the channel once it gets a terminate message. So, we can be sure that if we send the same number of terminate messages as there are workers, each worker will receive a terminate message before `join` is called on its thread.

To see this code in action, let’s modify `main` to accept only two requests before gracefully shutting down the server, as shown in Listing 20-26.

Filename: src/bin/main.rs

    fn main() {
        let listener = TcpListener::bind("127.0.0.1:7878").unwrap();
        let pool = ThreadPool::new(4);

        for stream in listener.incoming().take(2) {
            let stream = stream.unwrap();

            pool.execute(|| {
                handle_connection(stream);
            });
        }

        println!("Shutting down.");
    }

Listing 20-26: Shut down the server after serving two requests by exiting the loop

You wouldn’t want a real-world web server to shut down after serving only two requests. This code just demonstrates that the graceful shutdown and cleanup is in working order.

The `take` method is defined in the `Iterator` trait and limits the iteration to the first two items at most. The `ThreadPool` will go out of scope at the end of `main`, and the `drop` implementation will run.

Start the server with `cargo run`, and make three requests. The third request should error, and in your terminal you should see output similar to this:

    $ cargo run
       Compiling hello v0.1.0 (file:///projects/hello)
        Finished dev [unoptimized + debuginfo] target(s) in 1.0 secs
         Running `target/debug/hello`
    Worker 0 got a job; executing.
    Worker 3 got a job; executing.
    Shutting down.
    Sending terminate message to all workers.
    Shutting down all workers.
    Shutting down worker 0
    Worker 1 was told to terminate.
    Worker 2 was told to terminate.
    Worker 0 was told to terminate.
    Worker 3 was told to terminate.
    Shutting down worker 1
    Shutting down worker 2
    Shutting down worker 3

You might see a different ordering of workers and messages printed. We can see how this code works from the messages: workers 0 and 3 got the first two requests, and then on the third request, the server stopped accepting connections. When the `ThreadPool` goes out of scope at the end of `main`, its `Drop` implementation kicks in, and the pool tells all workers to terminate. The workers each print a message when they see the terminate message, and then the thread pool calls `join` to shut down each worker thread.

Notice one interesting aspect of this particular execution: the `ThreadPool` sent the terminate messages down the channel, and before any worker received the messages, we tried to join worker 0. Worker 0 had not yet received the terminate message, so the main thread blocked waiting for worker 0 to finish. In the meantime, each of the workers received the termination messages. When worker 0 finished, the main thread waited for the rest of the workers to finish. At that point, they had all received the termination message and were able to shut down.

Congrats! We’ve now completed our project; we have a basic web server that uses a thread pool to respond asynchronously. We’re able to perform a graceful shutdown of the server, which cleans up all the threads in the pool.

Here’s the full code for reference:

Filename: src/bin/main.rs

    use hello::ThreadPool;

    use std::io::prelude::*;
    use std::net::TcpListener;
    use std::net::TcpStream;
    use std::fs;
    use std::thread;
    use std::time::Duration;

    fn main() {
        let listener = TcpListener::bind("127.0.0.1:7878").unwrap();
        let pool = ThreadPool::new(4);

        for stream in listener.incoming().take(2) {
            let stream = stream.unwrap();

            pool.execute(|| {
                handle_connection(stream);
            });
        }

        println!("Shutting down.");
    }

    fn handle_connection(mut stream: TcpStream) {
        let mut buffer = [0; 512];
        stream.read(&mut buffer).unwrap();

        let get = b"GET / HTTP/1.1\r\n";
        let sleep = b"GET /sleep HTTP/1.1\r\n";

        let (status_line, filename) = if buffer.starts_with(get) {
            ("HTTP/1.1 200 OK\r\n\r\n", "hello.html")
        } else if buffer.starts_with(sleep) {
            thread::sleep(Duration::from_secs(5));
            ("HTTP/1.1 200 OK\r\n\r\n", "hello.html")
        } else {
            ("HTTP/1.1 404 NOT FOUND\r\n\r\n", "404.html")
        };

        let contents = fs::read_to_string(filename).unwrap();

        let response = format!("{}{}", status_line, contents);

        stream.write(response.as_bytes()).unwrap();
        stream.flush().unwrap();
    }

Filename: src/lib.rs

    #![allow(unused_variables)]
    fn main() {
    use std::thread;
    use std::sync::mpsc;
    use std::sync::Arc;
    use std::sync::Mutex;

    enum Message {
        NewJob(Job),
        Terminate,
    }

    pub struct ThreadPool {
        workers: Vec<Worker>,
        sender: mpsc::Sender<Message>,
    }

    type Job = Box<dyn FnOnce() + Send + 'static>;

    impl ThreadPool {
        /// Create a new ThreadPool.
        ///
        /// The size is the number of threads in the pool.
        ///
        /// # Panics
        ///
        /// The `new` function will panic if the size is zero.
        pub fn new(size: usize) -> ThreadPool {
            assert!(size > 0);

            let (sender, receiver) = mpsc::channel();

            let receiver = Arc::new(Mutex::new(receiver));

            let mut workers = Vec::with_capacity(size);

            for id in 0..size {
                workers.push(Worker::new(id, Arc::clone(&receiver)));
            }

            ThreadPool {
                workers,
                sender,
            }
        }

        pub fn execute<F>(&self, f: F)
            where
                F: FnOnce() + Send + 'static
        {
            let job = Box::new(f);

            self.sender.send(Message::NewJob(job)).unwrap();
        }
    }

    impl Drop for ThreadPool {
        fn drop(&mut self) {
            println!("Sending terminate message to all workers.");

            for _ in &mut self.workers {
                self.sender.send(Message::Terminate).unwrap();
            }

            println!("Shutting down all workers.");

            for worker in &mut self.workers {
                println!("Shutting down worker {}", worker.id);

                if let Some(thread) = worker.thread.take() {
                    thread.join().unwrap();
                }
            }
        }
    }

    struct Worker {
        id: usize,
        thread: Option<thread::JoinHandle<()>>,
    }

    impl Worker {
        fn new(id: usize, receiver: Arc<Mutex<mpsc::Receiver<Message>>>) ->
            Worker {

            let thread = thread::spawn(move ||{
                loop {
                    let message = receiver.lock().unwrap().recv().unwrap();

                    match message {
                        Message::NewJob(job) => {
                            println!("Worker {} got a job; executing.", id);

                            job();
                        },
                        Message::Terminate => {
                            println!("Worker {} was told to terminate.", id);

                            break;
                        },
                    }
                }
            });

            Worker {
                id,
                thread: Some(thread),
            }
        }
    }
    }

We could do more here! If you want to continue enhancing this project, here are some ideas:

- Add more documentation to `ThreadPool` and its public methods.
- Add tests of the library’s functionality.
- Change calls to `unwrap` to more robust error handling.
- Use `ThreadPool` to perform some task other than serving web requests.
- Find a thread pool crate on crates.io and implement a similar web server using the crate instead. Then compare its API and robustness to the thread pool we implemented.

## Summary

Well done! You’ve made it to the end of the book! We want to thank you for joining us on this tour of Rust. You’re now ready to implement your own Rust projects and help with other peoples’ projects. Keep in mind that there is a welcoming community of other Rustaceans who would love to help you with any challenges you encounter on your Rust journey.