I'm new to Rust and threading and I'm trying to print out a number while adding to it in another thread. How can I accomplish this?
use std::thread;
use std::time::Duration;
fn main() {
let mut num = 5;
thread::spawn(move || {
loop {
num += 1;
thread::sleep(Duration::from_secs(10));
}
});
output(num);
}
fn output(num: i32) {
loop {
println!("{:?}", num);
thread::sleep(Duration::from_secs(5));
}
}
The above code doesn't work: it always prints 5
as if the number is never incremented.
Please read the "Shared-State Concurrency" chapter of The Rust Book, it explains how to do this in detail.
In short:
- Your program does not work because
num
is copied, so output()
and the thread operate on different copies of the number. The Rust compiler will fail to compile with an error if num
is not copyable.
- Since you need to share the same variable between multiple threads, you need to wrap it in an
Arc
(atomic reference-counted variable)
- Since you need to modify the variable inside the
Arc
, you need to put it in a Mutex
or RwLock
. You use the .lock()
method to obtain a mutable reference out of a Mutex
. The method will ensure exclusive access across the whole process during the lifetime of that mutable reference.
use std::sync::{Arc, Mutex};
use std::thread;
use std::time::Duration;
fn main() {
let num = Arc::new(Mutex::new(5));
// allow `num` to be shared across threads (Arc) and modified
// (Mutex) safely without a data race.
let num_clone = num.clone();
// create a cloned reference before moving `num` into the thread.
thread::spawn(move || {
loop {
*num.lock().unwrap() += 1;
// modify the number.
thread::sleep(Duration::from_secs(10));
}
});
output(num_clone);
}
fn output(num: Arc<Mutex<i32>>) {
loop {
println!("{:?}", *num.lock().unwrap());
// read the number.
// - lock(): obtains a mutable reference; may fail,
// thus return a Result
// - unwrap(): ignore the error and get the real
// reference / cause panic on error.
thread::sleep(Duration::from_secs(5));
}
}
You may also want to read:
- Why does Rust have mutexes and other sychronization primitives, if sharing of mutable state between tasks is not allowed?
- What happens when an Arc is cloned?
- How do I share a mutable object between threads using Arc? (for why we need
Arc<Mutex<i32>>
instead of Arc<i32>
)
- When would you use a Mutex without an Arc? (for why we need
Arc<Mutex<i32>>
instead of Mutex<i32>
)
The other answer solves the problem for any type, but as pnkfelix observes, atomic wrapper types are another solution that will work for the specific case of i32
.
Since Rust 1.0, you can use AtomicBool
, AtomicPtr<T>
, AtomicIsize
and AtomicUsize
to synchronize multi-threaded access to bool
, *mut T
, isize
and usize
values. In Rust 1.34, several new Atomic
types have been stabilized, including AtomicI32
. (Check the std::sync::atomic
documentation for the current list.)
Using an atomic type is most likely more efficient than locking a Mutex
or RwLock
, but requires more attention to the low-level details of memory ordering. If your threads share more data than can fit in one of the standard atomic types, you probably want a Mutex
instead of multiple Atomic
s.
That said, here's a version of kennytm's answer using AtomicI32
instead of Mutex<i32>
:
use std::sync::{
atomic::{AtomicI32, Ordering},
Arc,
};
use std::thread;
use std::time::Duration;
fn main() {
let num = Arc::new(AtomicI32::new(5));
let num_clone = num.clone();
thread::spawn(move || loop {
num.fetch_add(1, Ordering::SeqCst);
thread::sleep(Duration::from_secs(10));
});
output(num_clone);
}
fn output(num: Arc<AtomicI32>) {
loop {
println!("{:?}", num.load(Ordering::SeqCst));
thread::sleep(Duration::from_secs(5));
}
}
Arc
is still required for shared ownership (but see How can I pass a reference to a stack variable to a thread?).
Choosing the right memory Ordering
is far from trivial. SeqCst
is the most conservative choice, but if there is only one memory address being shared, Relaxed
should also work. See the links below for more information.
Links
std::sync::atomic
module documentation
- Atomics (chapter of The Rustonomicon)
- LLVM Memory Model for Concurrent Operations and Atomic Instructions and Concurrency Guide