1 % The Stack and the Heap
3 As a systems language, Rust operates at a low level. If you’re coming from a
4 high-level language, there are some aspects of systems programming that you may
5 not be familiar with. The most important one is how memory works, with a stack
6 and a heap. If you’re familiar with how C-like languages use stack allocation,
7 this chapter will be a refresher. If you’re not, you’ll learn about this more
8 general concept, but with a Rust-y focus.
10 As with most things, when learning about them, we’ll use a simplified model to
11 start. This lets you get a handle on the basics, without getting bogged down
12 with details which are, for now, irrelevant. The examples we’ll use aren’t 100%
13 accurate, but are representative for the level we’re trying to learn at right
14 now. Once you have the basics down, learning more about how allocators are
15 implemented, virtual memory, and other advanced topics will reveal the leaks in
16 this particular abstraction.
20 These two terms are about memory management. The stack and the heap are
21 abstractions that help you determine when to allocate and deallocate memory.
23 Here’s a high-level comparison:
25 The stack is very fast, and is where memory is allocated in Rust by default.
26 But the allocation is local to a function call, and is limited in size. The
27 heap, on the other hand, is slower, and is explicitly allocated by your
28 program. But it’s effectively unlimited in size, and is globally accessible.
32 Let’s talk about this Rust program:
40 This program has one variable binding, `x`. This memory needs to be allocated
41 from somewhere. Rust ‘stack allocates’ by default, which means that basic
42 values ‘go on the stack’. What does that mean?
44 Well, when a function gets called, some memory gets allocated for all of its
45 local variables and some other information. This is called a ‘stack frame’, and
46 for the purpose of this tutorial, we’re going to ignore the extra information
47 and just consider the local variables we’re allocating. So in this case, when
48 `main()` is run, we’ll allocate a single 32-bit integer for our stack frame.
49 This is automatically handled for you, as you can see; we didn’t have to write
50 any special Rust code or anything.
52 When the function exits, its stack frame gets deallocated. This happens
53 automatically as well.
55 That’s all there is for this simple program. The key thing to understand here
56 is that stack allocation is very, very fast. Since we know all the local
57 variables we have ahead of time, we can grab the memory all at once. And since
58 we’ll throw them all away at the same time as well, we can get rid of it very
61 The downside is that we can’t keep values around if we need them for longer
62 than a single function. We also haven’t talked about what the word, ‘stack’,
63 means. To do that, we need a slightly more complicated example:
78 This program has three variables total: two in `foo()`, one in `main()`. Just
79 as before, when `main()` is called, a single integer is allocated for its stack
80 frame. But before we can show what happens when `foo()` is called, we need to
81 visualize what’s going on with memory. Your operating system presents a view of
82 memory to your program that’s pretty simple: a huge list of addresses, from 0
83 to a large number, representing how much RAM your computer has. For example, if
84 you have a gigabyte of RAM, your addresses go from `0` to `1,073,741,823`. That
85 number comes from 2<sup>30</sup>, the number of bytes in a gigabyte. [^gigabyte]
87 [^gigabyte]: ‘Gigabyte’ can mean two things: 10^9, or 2^30. The SI standard resolved this by stating that ‘gigabyte’ is 10^9, and ‘gibibyte’ is 2^30. However, very few people use this terminology, and rely on context to differentiate. We follow in that tradition here.
89 This memory is kind of like a giant array: addresses start at zero and go
90 up to the final number. So here’s a diagram of our first stack frame:
92 | Address | Name | Value |
93 |---------|------|-------|
96 We’ve got `x` located at address `0`, with the value `42`.
98 When `foo()` is called, a new stack frame is allocated:
100 | Address | Name | Value |
101 |---------|------|-------|
106 Because `0` was taken by the first frame, `1` and `2` are used for `foo()`’s
107 stack frame. It grows upward, the more functions we call.
110 There are some important things we have to take note of here. The numbers 0, 1,
111 and 2 are all solely for illustrative purposes, and bear no relationship to the
112 address values the computer will use in reality. In particular, the series of
113 addresses are in reality going to be separated by some number of bytes that
114 separate each address, and that separation may even exceed the size of the
117 After `foo()` is over, its frame is deallocated:
119 | Address | Name | Value |
120 |---------|------|-------|
123 And then, after `main()`, even this last value goes away. Easy!
125 It’s called a ‘stack’ because it works like a stack of dinner plates: the first
126 plate you put down is the last plate to pick back up. Stacks are sometimes
127 called ‘last in, first out queues’ for this reason, as the last value you put
128 on the stack is the first one you retrieve from it.
130 Let’s try a three-deep example:
152 Okay, first, we call `main()`:
154 | Address | Name | Value |
155 |---------|------|-------|
158 Next up, `main()` calls `foo()`:
160 | Address | Name | Value |
161 |---------|------|-------|
167 And then `foo()` calls `bar()`:
169 | Address | Name | Value |
170 |---------|------|-------|
177 Whew! Our stack is growing tall.
179 After `bar()` is over, its frame is deallocated, leaving just `foo()` and
182 | Address | Name | Value |
183 |---------|------|-------|
189 And then `foo()` ends, leaving just `main()`:
191 | Address | Name | Value |
192 |---------|------|-------|
195 And then we’re done. Getting the hang of it? It’s like piling up dishes: you
196 add to the top, you take away from the top.
200 Now, this works pretty well, but not everything can work like this. Sometimes,
201 you need to pass some memory between different functions, or keep it alive for
202 longer than a single function’s execution. For this, we can use the heap.
204 In Rust, you can allocate memory on the heap with the [`Box<T>` type][box].
214 [box]: ../std/boxed/index.html
216 Here’s what happens in memory when `main()` is called:
218 | Address | Name | Value |
219 |---------|------|--------|
223 We allocate space for two variables on the stack. `y` is `42`, as it always has
224 been, but what about `x`? Well, `x` is a `Box<i32>`, and boxes allocate memory
225 on the heap. The actual value of the box is a structure which has a pointer to
226 ‘the heap’. When we start executing the function, and `Box::new()` is called,
227 it allocates some memory for the heap, and puts `5` there. The memory now looks
230 | Address | Name | Value |
231 |----------------------|------|------------------------|
232 | (2<sup>30</sup>) - 1 | | 5 |
235 | 0 | x | → (2<sup>30</sup>) - 1 |
237 We have (2<sup>30</sup>) - 1 addresses in our hypothetical computer with 1GB of RAM. And since
238 our stack grows from zero, the easiest place to allocate memory is from the
239 other end. So our first value is at the highest place in memory. And the value
240 of the struct at `x` has a [raw pointer][rawpointer] to the place we’ve
241 allocated on the heap, so the value of `x` is (2<sup>30</sup>) - 1, the memory
242 location we’ve asked for.
244 [rawpointer]: raw-pointers.html
246 We haven’t really talked too much about what it actually means to allocate and
247 deallocate memory in these contexts. Getting into very deep detail is out of
248 the scope of this tutorial, but what’s important to point out here is that
249 the heap isn’t just a stack that grows from the opposite end. We’ll have an
250 example of this later in the book, but because the heap can be allocated and
251 freed in any order, it can end up with ‘holes’. Here’s a diagram of the memory
252 layout of a program which has been running for a while now:
255 | Address | Name | Value |
256 |----------------------|------|------------------------|
257 | (2<sup>30</sup>) - 1 | | 5 |
258 | (2<sup>30</sup>) - 2 | | |
259 | (2<sup>30</sup>) - 3 | | |
260 | (2<sup>30</sup>) - 4 | | 42 |
262 | 3 | y | → (2<sup>30</sup>) - 4 |
265 | 0 | x | → (2<sup>30</sup>) - 1 |
267 In this case, we’ve allocated four things on the heap, but deallocated two of
268 them. There’s a gap between (2<sup>30</sup>) - 1 and (2<sup>30</sup>) - 4 which isn’t
269 currently being used. The specific details of how and why this happens depends
270 on what kind of strategy you use to manage the heap. Different programs can use
271 different ‘memory allocators’, which are libraries that manage this for you.
272 Rust programs use [jemalloc][jemalloc] for this purpose.
274 [jemalloc]: http://www.canonware.com/jemalloc/
276 Anyway, back to our example. Since this memory is on the heap, it can stay
277 alive longer than the function which allocates the box. In this case, however,
278 it doesn’t.[^moving] When the function is over, we need to free the stack frame
279 for `main()`. `Box<T>`, though, has a trick up its sleeve: [Drop][drop]. The
280 implementation of `Drop` for `Box` deallocates the memory that was allocated
281 when it was created. Great! So when `x` goes away, it first frees the memory
282 allocated on the heap:
284 | Address | Name | Value |
285 |---------|------|--------|
290 [^moving]: We can make the memory live longer by transferring ownership,
291 sometimes called ‘moving out of the box’. More complex examples will
295 And then the stack frame goes away, freeing all of our memory.
297 # Arguments and borrowing
299 We’ve got some basic examples with the stack and the heap going, but what about
300 function arguments and borrowing? Here’s a small Rust program:
315 When we enter `main()`, memory looks like this:
317 | Address | Name | Value |
318 |---------|------|--------|
322 `x` is a plain old `5`, and `y` is a reference to `x`. So its value is the
323 memory location that `x` lives at, which in this case is `0`.
325 What about when we call `foo()`, passing `y` as an argument?
327 | Address | Name | Value |
328 |---------|------|--------|
334 Stack frames aren’t just for local bindings, they’re for arguments too. So in
335 this case, we need to have both `i`, our argument, and `z`, our local variable
336 binding. `i` is a copy of the argument, `y`. Since `y`’s value is `0`, so is
339 This is one reason why borrowing a variable doesn’t deallocate any memory: the
340 value of a reference is just a pointer to a memory location. If we got rid of
341 the underlying memory, things wouldn’t work very well.
345 Okay, let’s go through this complex program step-by-step:
356 fn bar(a: &i32, b: &i32) {
370 let i = Box::new(20);
377 First, we call `main()`:
379 | Address | Name | Value |
380 |----------------------|------|------------------------|
381 | (2<sup>30</sup>) - 1 | | 20 |
384 | 1 | i | → (2<sup>30</sup>) - 1 |
387 We allocate memory for `j`, `i`, and `h`. `i` is on the heap, and so has a
388 value pointing there.
390 Next, at the end of `main()`, `foo()` gets called:
392 | Address | Name | Value |
393 |----------------------|------|------------------------|
394 | (2<sup>30</sup>) - 1 | | 20 |
400 | 1 | i | → (2<sup>30</sup>) - 1 |
403 Space gets allocated for `x`, `y`, and `z`. The argument `x` has the same value
404 as `j`, since that’s what we passed it in. It’s a pointer to the `0` address,
405 since `j` points at `h`.
407 Next, `foo()` calls `baz()`, passing `z`:
409 | Address | Name | Value |
410 |----------------------|------|------------------------|
411 | (2<sup>30</sup>) - 1 | | 20 |
419 | 1 | i | → (2<sup>30</sup>) - 1 |
422 We’ve allocated memory for `f` and `g`. `baz()` is very short, so when it’s
423 over, we get rid of its stack frame:
425 | Address | Name | Value |
426 |----------------------|------|------------------------|
427 | (2<sup>30</sup>) - 1 | | 20 |
433 | 1 | i | → (2<sup>30</sup>) - 1 |
436 Next, `foo()` calls `bar()` with `x` and `z`:
438 | Address | Name | Value |
439 |----------------------|------|------------------------|
440 | (2<sup>30</sup>) - 1 | | 20 |
441 | (2<sup>30</sup>) - 2 | | 5 |
444 | 9 | d | → (2<sup>30</sup>) - 2 |
452 | 1 | i | → (2<sup>30</sup>) - 1 |
455 We end up allocating another value on the heap, and so we have to subtract one
456 from (2<sup>30</sup>) - 1. It’s easier to just write that than `1,073,741,822`. In any
457 case, we set up the variables as usual.
459 At the end of `bar()`, it calls `baz()`:
461 | Address | Name | Value |
462 |----------------------|------|------------------------|
463 | (2<sup>30</sup>) - 1 | | 20 |
464 | (2<sup>30</sup>) - 2 | | 5 |
467 | 11 | f | → (2<sup>30</sup>) - 2 |
469 | 9 | d | → (2<sup>30</sup>) - 2 |
477 | 1 | i | → (2<sup>30</sup>) - 1 |
480 With this, we’re at our deepest point! Whew! Congrats for following along this
483 After `baz()` is over, we get rid of `f` and `g`:
485 | Address | Name | Value |
486 |----------------------|------|------------------------|
487 | (2<sup>30</sup>) - 1 | | 20 |
488 | (2<sup>30</sup>) - 2 | | 5 |
491 | 9 | d | → (2<sup>30</sup>) - 2 |
499 | 1 | i | → (2<sup>30</sup>) - 1 |
502 Next, we return from `bar()`. `d` in this case is a `Box<T>`, so it also frees
503 what it points to: (2<sup>30</sup>) - 2.
505 | Address | Name | Value |
506 |----------------------|------|------------------------|
507 | (2<sup>30</sup>) - 1 | | 20 |
513 | 1 | i | → (2<sup>30</sup>) - 1 |
516 And after that, `foo()` returns:
518 | Address | Name | Value |
519 |----------------------|------|------------------------|
520 | (2<sup>30</sup>) - 1 | | 20 |
523 | 1 | i | → (2<sup>30</sup>) - 1 |
526 And then, finally, `main()`, which cleans the rest up. When `i` is `Drop`ped,
527 it will clean up the last of the heap too.
529 # What do other languages do?
531 Most languages with a garbage collector heap-allocate by default. This means
532 that every value is boxed. There are a number of reasons why this is done, but
533 they’re out of scope for this tutorial. There are some possible optimizations
534 that don’t make it true 100% of the time, too. Rather than relying on the stack
535 and `Drop` to clean up memory, the garbage collector deals with the heap
540 So if the stack is faster and easier to manage, why do we need the heap? A big
541 reason is that Stack-allocation alone means you only have LIFO semantics for
542 reclaiming storage. Heap-allocation is strictly more general, allowing storage
543 to be taken from and returned to the pool in arbitrary order, but at a
546 Generally, you should prefer stack allocation, and so, Rust stack-allocates by
547 default. The LIFO model of the stack is simpler, at a fundamental level. This
548 has two big impacts: runtime efficiency and semantic impact.
550 ## Runtime Efficiency
552 Managing the memory for the stack is trivial: The machine just
553 increments or decrements a single value, the so-called “stack pointer”.
554 Managing memory for the heap is non-trivial: heap-allocated memory is freed at
555 arbitrary points, and each block of heap-allocated memory can be of arbitrary
556 size, the memory manager must generally work much harder to identify memory for
559 If you’d like to dive into this topic in greater detail, [this paper][wilson]
560 is a great introduction.
562 [wilson]: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.143.4688
566 Stack-allocation impacts the Rust language itself, and thus the developer’s
567 mental model. The LIFO semantics is what drives how the Rust language handles
568 automatic memory management. Even the deallocation of a uniquely-owned
569 heap-allocated box can be driven by the stack-based LIFO semantics, as
570 discussed throughout this chapter. The flexibility (i.e. expressiveness) of non
571 LIFO-semantics means that in general the compiler cannot automatically infer at
572 compile-time where memory should be freed; it has to rely on dynamic protocols,
573 potentially from outside the language itself, to drive deallocation (reference
574 counting, as used by `Rc<T>` and `Arc<T>`, is one example of this).
576 When taken to the extreme, the increased expressive power of heap allocation
577 comes at the cost of either significant runtime support (e.g. in the form of a
578 garbage collector) or significant programmer effort (in the form of explicit
579 memory management calls that require verification not provided by the Rust