## Using Threads to Run Code Simultaneously

In most current operating systems, an executed program’s code is run in a
_process_, and the operating system will manage multiple processes at once.
Within a program, you can also have independent parts that run simultaneously.
The features that run these independent parts are called _threads_. For
example, a web server could have multiple threads so that it can respond to
more than one request at the same time.

Splitting the computation in your program into multiple threads to run multiple
tasks at the same time can improve performance, but it also adds complexity.
Because threads can run simultaneously, there’s no inherent guarantee about the
order in which parts of your code on different threads will run. This can lead
to problems, such as:

- Race conditions, in which threads are accessing data or resources in an
  inconsistent order
- Deadlocks, in which two threads are waiting for each other, preventing both
  threads from continuing
- Bugs that only happen in certain situations and are hard to reproduce and fix
  reliably

Rust attempts to mitigate the negative effects of using threads, but
programming in a multithreaded context still takes careful thought and requires
a code structure that is different from that in programs running in a single
thread.

Programming languages implement threads in a few different ways, and many
operating systems provide an API the programming language can call for creating
new threads. The Rust standard library uses a _1:1_ model of thread
implementation, whereby a program uses one operating system thread per one
language thread. There are crates that implement other models of threading that
make different trade-offs to the 1:1 model. (Rust’s async system, which we will
see in the next chapter, provides another approach to concurrency as well.)

### Creating a New Thread with `spawn`

To create a new thread, we call the `thread::spawn` function and pass it a
closure (we talked about closures in Chapter 13) containing the code we want to
run in the new thread. The example in Listing 16-1 prints some text from a main
thread and other text from a new thread.

<Listing number="16-1" file-name="src/main.rs" caption="Creating a new thread to print one thing while the main thread prints something else">

```rust
{{#rustdoc_include ../listings/ch16-fearless-concurrency/listing-16-01/src/main.rs}}
```

</Listing>

Note that when the main thread of a Rust program completes, all spawned threads
are shut down, whether or not they have finished running. The output from this
program might be a little different every time, but it will look similar to the
following:

<!-- Not extracting output because changes to this output aren't significant;
the changes are likely to be due to the threads running differently rather than
changes in the compiler -->

```text
hi number 1 from the main thread!
hi number 1 from the spawned thread!
hi number 2 from the main thread!
hi number 2 from the spawned thread!
hi number 3 from the main thread!
hi number 3 from the spawned thread!
hi number 4 from the main thread!
hi number 4 from the spawned thread!
hi number 5 from the spawned thread!
```

The calls to `thread::sleep` force a thread to stop its execution for a short
duration, allowing a different thread to run. The threads will probably take
turns, but that isn’t guaranteed: It depends on how your operating system
schedules the threads. In this run, the main thread printed first, even though
the print statement from the spawned thread appears first in the code. And even
though we told the spawned thread to print until `i` is `9`, it only got to `5`
before the main thread shut down.

If you run this code and only see output from the main thread, or don’t see any
overlap, try increasing the numbers in the ranges to create more opportunities
for the operating system to switch between the threads.

<!-- Old headings. Do not remove or links may break. -->

<a id="waiting-for-all-threads-to-finish-using-join-handles"></a>

### Waiting for All Threads to Finish

The code in Listing 16-1 not only stops the spawned thread prematurely most of
the time due to the main thread ending, but because there is no guarantee on
the order in which threads run, we also can’t guarantee that the spawned thread
will get to run at all!

We can fix the problem of the spawned thread not running or of it ending
prematurely by saving the return value of `thread::spawn` in a variable. The
return type of `thread::spawn` is `JoinHandle<T>`. A `JoinHandle<T>` is an
owned value that, when we call the `join` method on it, will wait for its
thread to finish. Listing 16-2 shows how to use the `JoinHandle<T>` of the
thread we created in Listing 16-1 and how to call `join` to make sure the
spawned thread finishes before `main` exits.

<Listing number="16-2" file-name="src/main.rs" caption="Saving a `JoinHandle<T>` from `thread::spawn` to guarantee the thread is run to completion">

```rust
{{#rustdoc_include ../listings/ch16-fearless-concurrency/listing-16-02/src/main.rs}}
```

</Listing>

Calling `join` on the handle blocks the thread currently running until the
thread represented by the handle terminates. _Blocking_ a thread means that
thread is prevented from performing work or exiting. Because we’ve put the call
to `join` after the main thread’s `for` loop, running Listing 16-2 should
produce output similar to this:

<!-- Not extracting output because changes to this output aren't significant;
the changes are likely to be due to the threads running differently rather than
changes in the compiler -->

```text
hi number 1 from the main thread!
hi number 2 from the main thread!
hi number 1 from the spawned thread!
hi number 3 from the main thread!
hi number 2 from the spawned thread!
hi number 4 from the main thread!
hi number 3 from the spawned thread!
hi number 4 from the spawned thread!
hi number 5 from the spawned thread!
hi number 6 from the spawned thread!
hi number 7 from the spawned thread!
hi number 8 from the spawned thread!
hi number 9 from the spawned thread!
```

The two threads continue alternating, but the main thread waits because of the
call to `handle.join()` and does not end until the spawned thread is finished.

But let’s see what happens when we instead move `handle.join()` before the
`for` loop in `main`, like this:

<Listing file-name="src/main.rs">

```rust
{{#rustdoc_include ../listings/ch16-fearless-concurrency/no-listing-01-join-too-early/src/main.rs}}
```

</Listing>

The main thread will wait for the spawned thread to finish and then run its
`for` loop, so the output won’t be interleaved anymore, as shown here:

<!-- Not extracting output because changes to this output aren't significant;
the changes are likely to be due to the threads running differently rather than
changes in the compiler -->

```text
hi number 1 from the spawned thread!
hi number 2 from the spawned thread!
hi number 3 from the spawned thread!
hi number 4 from the spawned thread!
hi number 5 from the spawned thread!
hi number 6 from the spawned thread!
hi number 7 from the spawned thread!
hi number 8 from the spawned thread!
hi number 9 from the spawned thread!
hi number 1 from the main thread!
hi number 2 from the main thread!
hi number 3 from the main thread!
hi number 4 from the main thread!
```

Small details, such as where `join` is called, can affect whether or not your
threads run at the same time.

### Using `move` Closures with Threads

We’ll often use the `move` keyword with closures passed to `thread::spawn`
because the closure will then take ownership of the values it uses from the
environment, thus transferring ownership of those values from one thread to
another. In [“Capturing References or Moving Ownership”][capture]<!-- ignore
--> in Chapter 13, we discussed `move` in the context of closures. Now we’ll
concentrate more on the interaction between `move` and `thread::spawn`.

Notice in Listing 16-1 that the closure we pass to `thread::spawn` takes no
arguments: We’re not using any data from the main thread in the spawned
thread’s code. To use data from the main thread in the spawned thread, the
spawned thread’s closure must capture the values it needs. Listing 16-3 shows
an attempt to create a vector in the main thread and use it in the spawned
thread. However, this won’t work yet, as you’ll see in a moment.

<Listing number="16-3" file-name="src/main.rs" caption="Attempting to use a vector created by the main thread in another thread">

```rust,ignore,does_not_compile
{{#rustdoc_include ../listings/ch16-fearless-concurrency/listing-16-03/src/main.rs}}
```

</Listing>

The closure uses `v`, so it will capture `v` and make it part of the closure’s
environment. Because `thread::spawn` runs this closure in a new thread, we
should be able to access `v` inside that new thread. But when we compile this
example, we get the following error:

```console
{{#include ../listings/ch16-fearless-concurrency/listing-16-03/output.txt}}
```

Rust _infers_ how to capture `v`, and because `println!` only needs a reference
to `v`, the closure tries to borrow `v`. However, there’s a problem: Rust can’t
tell how long the spawned thread will run, so it doesn’t know whether the
reference to `v` will always be valid.

Listing 16-4 provides a scenario that’s more likely to have a reference to `v`
that won’t be valid.

<Listing number="16-4" file-name="src/main.rs" caption="A thread with a closure that attempts to capture a reference to `v` from a main thread that drops `v`">

```rust,ignore,does_not_compile
{{#rustdoc_include ../listings/ch16-fearless-concurrency/listing-16-04/src/main.rs}}
```

</Listing>

If Rust allowed us to run this code, there’s a possibility that the spawned
thread would be immediately put in the background without running at all. The
spawned thread has a reference to `v` inside, but the main thread immediately
drops `v`, using the `drop` function we discussed in Chapter 15. Then, when the
spawned thread starts to execute, `v` is no longer valid, so a reference to it
is also invalid. Oh no!

To fix the compiler error in Listing 16-3, we can use the error message’s
advice:

<!-- manual-regeneration
after automatic regeneration, look at listings/ch16-fearless-concurrency/listing-16-03/output.txt and copy the relevant part
-->

```text
help: to force the closure to take ownership of `v` (and any other referenced variables), use the `move` keyword
  |
6 |     let handle = thread::spawn(move || {
  |                                ++++
```

By adding the `move` keyword before the closure, we force the closure to take
ownership of the values it’s using rather than allowing Rust to infer that it
should borrow the values. The modification to Listing 16-3 shown in Listing
16-5 will compile and run as we intend.

<Listing number="16-5" file-name="src/main.rs" caption="Using the `move` keyword to force a closure to take ownership of the values it uses">

```rust
{{#rustdoc_include ../listings/ch16-fearless-concurrency/listing-16-05/src/main.rs}}
```

</Listing>

We might be tempted to try the same thing to fix the code in Listing 16-4 where
the main thread called `drop` by using a `move` closure. However, this fix will
not work because what Listing 16-4 is trying to do is disallowed for a
different reason. If we added `move` to the closure, we would move `v` into the
closure’s environment, and we could no longer call `drop` on it in the main
thread. We would get this compiler error instead:

```console
{{#include ../listings/ch16-fearless-concurrency/output-only-01-move-drop/output.txt}}
```

Rust’s ownership rules have saved us again! We got an error from the code in
Listing 16-3 because Rust was being conservative and only borrowing `v` for the
thread, which meant the main thread could theoretically invalidate the spawned
thread’s reference. By telling Rust to move ownership of `v` to the spawned
thread, we’re guaranteeing to Rust that the main thread won’t use `v` anymore.
If we change Listing 16-4 in the same way, we’re then violating the ownership
rules when we try to use `v` in the main thread. The `move` keyword overrides
Rust’s conservative default of borrowing; it doesn’t let us violate the
ownership rules.

Now that we’ve covered what threads are and the methods supplied by the thread
API, let’s look at some situations in which we can use threads.

[capture]: ch13-01-closures.html#capturing-references-or-moving-ownership
