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Rollup merge of rust-lang#28463 - critiqjo:book-concurrency, r=steveklabnik
Fixes rust-lang#28458 Details about `Arc` may be too soon to be described together with `Sync`... Tell me what you think. r? @steveklabnik
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src/doc/trpl/concurrency.md

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@@ -26,8 +26,8 @@ to help us make sense of code that can possibly be concurrent.
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### `Send`
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The first trait we're going to talk about is
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[`Send`](../std/marker/trait.Send.html). When a type `T` implements `Send`, it indicates
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to the compiler that something of this type is able to have ownership transferred
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[`Send`](../std/marker/trait.Send.html). When a type `T` implements `Send`, it
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indicates that something of this type is able to have ownership transferred
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safely between threads.
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This is important to enforce certain restrictions. For example, if we have a
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### `Sync`
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The second of these traits is called [`Sync`](../std/marker/trait.Sync.html).
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When a type `T` implements `Sync`, it indicates to the compiler that something
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When a type `T` implements `Sync`, it indicates that something
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of this type has no possibility of introducing memory unsafety when used from
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multiple threads concurrently.
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For example, sharing immutable data with an atomic reference count is
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threadsafe. Rust provides a type like this, `Arc<T>`, and it implements `Sync`,
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so it is safe to share between threads.
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multiple threads concurrently through shared references. This implies that
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types which don't have [interior mutability](mutability.html) are inherently
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`Sync`, which includes simple primitive types (like `u8`) and aggregate types
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containing them.
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For sharing references across threads, Rust provides a wrapper type called
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`Arc<T>`. `Arc<T>` implements `Send` and `Sync` if and only if `T` implements
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both `Send` and `Sync`. For example, an object of type `Arc<RefCell<U>>` cannot
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be transferred across threads because
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[`RefCell`](choosing-your-guarantees.html#refcell%3Ct%3E) does not implement
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`Sync`, consequently `Arc<RefCell<U>>` would not implement `Send`.
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These two traits allow you to use the type system to make strong guarantees
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about the properties of your code under concurrency. Before we demonstrate
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}
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```
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The `thread::spawn()` method accepts a closure, which is executed in a
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The `thread::spawn()` method accepts a [closure](closures.html), which is executed in a
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new thread. It returns a handle to the thread, that can be used to
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wait for the child thread to finish and extract its result:
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}
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```
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Note that the value of `i` is bound (copied) to the closure and not shared
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among the threads.
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If we'd tried to use `Mutex<T>` without wrapping it in an `Arc<T>` we would have
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seen another error like:
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```text
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error: the trait `core::marker::Send` is not implemented for the type `std::sync::mutex::MutexGuard<'_, collections::vec::Vec<u32>>` [E0277]
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thread::spawn(move || {
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^~~~~~~~~~~~~
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note: `std::sync::mutex::MutexGuard<'_, collections::vec::Vec<u32>>` cannot be sent between threads safely
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thread::spawn(move || {
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^~~~~~~~~~~~~
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```
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You see, [`Mutex`](../std/sync/struct.Mutex.html) has a
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[`lock`](../std/sync/struct.Mutex.html#method.lock)
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method which has this signature:
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Also note that [`lock`](../std/sync/struct.Mutex.html#method.lock) method of
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[`Mutex`](../std/sync/struct.Mutex.html) has this signature:
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```ignore
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fn lock(&self) -> LockResult<MutexGuard<T>>
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```
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and because `Send` is not implemented for `MutexGuard<T>`, we couldn't have
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transferred the guard across thread boundaries on it's own.
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and because `Send` is not implemented for `MutexGuard<T>`, the guard cannot
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cross thread boundaries, ensuring thread-locality of lock acquire and release.
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Let's examine the body of the thread more closely:
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fn main() {
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let (tx, rx) = mpsc::channel();
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for _ in 0..10 {
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for i in 0..10 {
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let tx = tx.clone();
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thread::spawn(move || {
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let answer = 42;
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let answer = i * i;
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tx.send(answer);
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});
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}
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rx.recv().ok().expect("Could not receive answer");
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for _ in 0..10 {
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println!("{}", rx.recv().unwrap());
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}
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}
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```
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A `u32` is `Send` because we can make a copy. So we create a thread, ask it to calculate
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the answer, and then it `send()`s us the answer over the channel.
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Here we create 10 threads, asking each to calculate the square of a number (`i`
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at the time of `spawn()`), and then `send()` back the answer over the channel.
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