9.9 KiB
% Allocating Memory
Using Unique throws a wrench in an important feature of Vec (and indeed all of
the std collections): an empty Vec doesn't actually allocate at all. So if we
can't allocate, but also can't put a null pointer in ptr, what do we do in
Vec::new? Well, we just put some other garbage in there!
This is perfectly fine because we already have cap == 0 as our sentinel for no
allocation. We don't even need to handle it specially in almost any code because
we usually need to check if cap > len or len > 0 anyway. The traditional
Rust value to put here is 0x01. The standard library actually exposes this
as std::rt::heap::EMPTY. There are quite a few places where we'll
want to use heap::EMPTY because there's no real allocation to talk about but
null would make the compiler do bad things.
All of the heap API is totally unstable under the heap_api feature, though.
We could trivially define heap::EMPTY ourselves, but we'll want the rest of
the heap API anyway, so let's just get that dependency over with.
So:
#![feature(heap_api)]
use std::rt::heap::EMPTY;
use std::mem;
impl<T> Vec<T> {
fn new() -> Self {
assert!(mem::size_of::<T>() != 0, "We're not ready to handle ZSTs");
unsafe {
// need to cast EMPTY to the actual ptr type we want, let
// inference handle it.
Vec { ptr: Unique::new(heap::EMPTY as *mut _), len: 0, cap: 0 }
}
}
}
I slipped in that assert there because zero-sized types will require some special handling throughout our code, and I want to defer the issue for now. Without this assert, some of our early drafts will do some Very Bad Things.
Next we need to figure out what to actually do when we do want space. For that, we'll need to use the rest of the heap APIs. These basically allow us to talk directly to Rust's allocator (jemalloc by default).
We'll also need a way to handle out-of-memory (OOM) conditions. The standard
library calls the abort intrinsic, which just calls an illegal instruction to
crash the whole program. The reason we abort and don't panic is because
unwinding can cause allocations to happen, and that seems like a bad thing to do
when your allocator just came back with "hey I don't have any more memory".
Of course, this is a bit silly since most platforms don't actually run out of memory in a conventional way. Your operating system will probably kill the application by another means if you legitimately start using up all the memory. The most likely way we'll trigger OOM is by just asking for ludicrous quantities of memory at once (e.g. half the theoretical address space). As such it's probably fine to panic and nothing bad will happen. Still, we're trying to be like the standard library as much as possible, so we'll just kill the whole program.
We said we don't want to use intrinsics, so doing exactly what std does is
out. std::rt::util::abort actually exists, but it takes a message to print,
which will probably allocate. Also it's still unstable. Instead, we'll call
std::process::exit with some random number.
fn oom() {
::std::process::exit(-9999);
}
Okay, now we can write growing. Roughly, we want to have this logic:
if cap == 0:
allocate()
cap = 1
else:
reallocate
cap *= 2
But Rust's only supported allocator API is so low level that we'll need to do a fair bit of extra work. We also need to guard against some special conditions that can occur with really large allocations or empty allocations.
In particular, ptr::offset will cause us a lot of trouble, because it has
the semantics of LLVM's GEP inbounds instruction. If you're fortunate enough to
not have dealt with this instruction, here's the basic story with GEP: alias
analysis, alias analysis, alias analysis. It's super important to an optimizing
compiler to be able to reason about data dependencies and aliasing.
As a simple example, consider the following fragment of code:
# let x = &mut 0;
# let y = &mut 0;
*x *= 7;
*y *= 3;
If the compiler can prove that x and y point to different locations in
memory, the two operations can in theory be executed in parallel (by e.g.
loading them into different registers and working on them independently).
However in general the compiler can't do this because if x and y point to
the same location in memory, the operations need to be done to the same value,
and they can't just be merged afterwards.
When you use GEP inbounds, you are specifically telling LLVM that the offsets you're about to do are within the bounds of a single allocated entity. The ultimate payoff being that LLVM can assume that if two pointers are known to point to two disjoint objects, all the offsets of those pointers are also known to not alias (because you won't just end up in some random place in memory). LLVM is heavily optimized to work with GEP offsets, and inbounds offsets are the best of all, so it's important that we use them as much as possible.
So that's what GEP's about, how can it cause us trouble?
The first problem is that we index into arrays with unsigned integers, but
GEP (and as a consequence ptr::offset) takes a signed integer. This means
that half of the seemingly valid indices into an array will overflow GEP and
actually go in the wrong direction! As such we must limit all allocations to
isize::MAX elements. This actually means we only need to worry about
byte-sized objects, because e.g. > isize::MAX u16s will truly exhaust all of
the system's memory. However in order to avoid subtle corner cases where someone
reinterprets some array of < isize::MAX objects as bytes, std limits all
allocations to isize::MAX bytes.
On all 64-bit targets that Rust currently supports we're artificially limited
to significantly less than all 64 bits of the address space (modern x64
platforms only expose 48-bit addressing), so we can rely on just running out of
memory first. However on 32-bit targets, particularly those with extensions to
use more of the address space (PAE x86 or x32), it's theoretically possible to
successfully allocate more than isize::MAX bytes of memory.
However since this is a tutorial, we're not going to be particularly optimal
here, and just unconditionally check, rather than use clever platform-specific
cfgs.
The other corner-case we need to worry about is empty allocations. There will
be two kinds of empty allocations we need to worry about: cap = 0 for all T,
and cap > 0 for zero-sized types.
These cases are tricky because they come down to what LLVM means by "allocated". LLVM's notion of an allocation is significantly more abstract than how we usually use it. Because LLVM needs to work with different languages' semantics and custom allocators, it can't really intimately understand allocation. Instead, the main idea behind allocation is "doesn't overlap with other stuff". That is, heap allocations, stack allocations, and globals don't randomly overlap. Yep, it's about alias analysis. As such, Rust can technically play a bit fast an loose with the notion of an allocation as long as it's consistent.
Getting back to the empty allocation case, there are a couple of places where
we want to offset by 0 as a consequence of generic code. The question is then:
is it consistent to do so? For zero-sized types, we have concluded that it is
indeed consistent to do a GEP inbounds offset by an arbitrary number of
elements. This is a runtime no-op because every element takes up no space,
and it's fine to pretend that there's infinite zero-sized types allocated
at 0x01. No allocator will ever allocate that address, because they won't
allocate 0x00 and they generally allocate to some minimal alignment higher
than a byte.
However what about for positive-sized types? That one's a bit trickier. In principle, you can argue that offsetting by 0 gives LLVM no information: either there's an element before the address, or after it, but it can't know which. However we've chosen to conservatively assume that it may do bad things. As such we will guard against this case explicitly.
Phew
Ok with all the nonsense out of the way, let's actually allocate some memory:
fn grow(&mut self) {
// this is all pretty delicate, so let's say it's all unsafe
unsafe {
// current API requires us to specify size and alignment manually.
let align = mem::align_of::<T>();
let elem_size = mem::size_of::<T>();
let (new_cap, ptr) = if self.cap == 0 {
let ptr = heap::allocate(elem_size, align);
(1, ptr)
} else {
// as an invariant, we can assume that `self.cap < isize::MAX`,
// so this doesn't need to be checked.
let new_cap = self.cap * 2;
// Similarly this can't overflow due to previously allocating this
let old_num_bytes = self.cap * elem_size;
// check that the new allocation doesn't exceed `isize::MAX` at all
// regardless of the actual size of the capacity. This combines the
// `new_cap <= isize::MAX` and `new_num_bytes <= usize::MAX` checks
// we need to make. We lose the ability to allocate e.g. 2/3rds of
// the address space with a single Vec of i16's on 32-bit though.
// Alas, poor Yorick -- I knew him, Horatio.
assert!(old_num_bytes <= (::std::isize::MAX as usize) / 2,
"capacity overflow");
let new_num_bytes = old_num_bytes * 2;
let ptr = heap::reallocate(*self.ptr as *mut _,
old_num_bytes,
new_num_bytes,
align);
(new_cap, ptr)
};
// If allocate or reallocate fail, we'll get `null` back
if ptr.is_null() { oom(); }
self.ptr = Unique::new(ptr as *mut _);
self.cap = new_cap;
}
}
Nothing particularly tricky here. Just computing sizes and alignments and doing some careful multiplication checks.