2018-12-19 22:50:57 -05:00
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---
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layout: post
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title: "Allocations in Rust"
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description: "An introduction to the memory model"
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category:
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tags: [rust]
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---
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There's an alchemy of distilling complex technical topics into articles and videos
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that change the way programmers see the tools they interact with on a regular basis.
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2019-01-04 00:08:36 -05:00
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I knew what a linker was, but there's a staggering amount of complexity in between
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[`main()` and your executable](https://www.youtube.com/watch?v=dOfucXtyEsU).
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2018-12-26 10:19:34 -05:00
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Rust programmers use the [`Box`](https://doc.rust-lang.org/stable/std/boxed/struct.Box.html)
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type all the time, but there's a rich history of the Rust language itself wrapped up in
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[how special it is](https://manishearth.github.io/blog/2017/01/10/rust-tidbits-box-is-special/).
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2019-01-04 00:08:36 -05:00
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In a similar vein, I want you to look at code and understand how memory is used;
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the complex choreography of operating system, compiler, and program that frees you
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2019-01-01 14:31:15 -05:00
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to focus on functionality far-flung from frivolous book-keeping. The Rust compiler relieves
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a great deal of the cognitive burden associated with memory management, but we're going
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to step into its world for a while.
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2018-12-19 22:50:57 -05:00
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2019-01-01 14:31:15 -05:00
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Let's learn a bit about memory in Rust.
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2018-12-19 22:50:57 -05:00
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# Table of Contents
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This post is intended as both guide and reference material; we'll work to establish
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2018-12-26 10:19:34 -05:00
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an understanding of the different memory types Rust makes use of, then summarize each
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2018-12-19 22:50:57 -05:00
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section for easy citation in the future. To that end, a table of contents is provided
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to assist in easy navigation:
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2018-12-26 10:19:34 -05:00
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- [Foreword](#foreword)
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- [Stacking Up: Non-Heap Memory Types](#non-heap-memory-types)
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- [Piling On: Rust and the Heap](#piling-on-rust-and-the-heap)
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- [Compiler Optimizations Make Everything Complicated](#compiler-optimizations-make-everything-complicated)
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- Summary: When Does Rust Allocate?
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- [Appendix and Further Reading](#appendix-and-further-reading)
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2018-12-26 10:19:34 -05:00
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# Foreword
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2019-01-04 00:08:36 -05:00
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There's a simple checklist to see if you can skip over reading this article. You must:
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2018-12-26 10:19:34 -05:00
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1. Only write `#![no_std]` crates
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2. Never use `unsafe`
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3. Never use `#![feature(alloc)]`
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For some uses of Rust, typically embedded devices, these constraints make sense.
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They're working with very limited memory, and the program binary size itself may
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significantly affect what's available! There's no operating system able to manage
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this "virtual memory" junk, but that's not an issue because there's only one
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running application. The [embedonomicon] is ever in mind, and interacting with the
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"real world" through extra peripherals is accomplished by reading and writing to
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exact memory addresses.
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Most Rust programs find these requirements overly burdensome though. C++ developers
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would struggle without access to [`std::vector`](https://en.cppreference.com/w/cpp/container/vector)
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(except those hardcore no-STL guys), and Rust developers would struggle without
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[`std::vec`](https://doc.rust-lang.org/std/vec/struct.Vec.html). But in this scenario,
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`std::vec` is actually part of the [`alloc` crate](https://doc.rust-lang.org/alloc/vec/struct.Vec.html),
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and thus off-limits (because the `alloc` crate requires `#![feature(alloc)]`).
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Also, `Box` is right out for the same reason.
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2019-01-04 00:08:36 -05:00
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Whether writing code for embedded devices or not, the important thing in both situations
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is how much you know *before your application starts* about what its memory usage will look like.
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In embedded devices, there's a small, fixed amount of memory to use.
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In a browser, you have no idea how large [google.com](https://www.google.com)'s home page is until you start
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trying to download it. The compiler uses this information (or lack thereof) to optimize
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how memory is used; put simply, your code runs faster when the compiler can guarantee exactly
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how much memory your program needs while it's running. This post is all about understanding
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the optimization tricks the compiler uses, and how you can help the compiler and make
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your programs more efficient.
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Now let's address some conditions and caveats before going much further:
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2019-01-08 00:16:10 -05:00
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- We'll focus on "safe" Rust only; `unsafe` lets you use platform-specific allocation API's
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(think the [libc] and [winapi] implementations of [malloc]) that we'll ignore.
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- We'll assume a "debug" build of Rust code (what you get with `cargo run` and `cargo test`)
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and address (hehe) "release" mode at the end (`cargo run --release` and `cargo test --release`).
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2019-01-21 13:42:30 -05:00
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- All content will be run using Rust 1.31, as that's the highest currently supported in the
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[Compiler Exporer](https://godbolt.org/). As such, we'll avoid talking about things like
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[compile-time evaluation of `static`](https://github.com/rust-lang/rfcs/blob/master/text/0911-const-fn.md)
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that are available in nightly.
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2019-01-08 00:16:10 -05:00
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- Because of the nature of the content, some (very simple) assembly-level code is involved.
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We'll keep this to a minimum, but I [needed](https://stackoverflow.com/a/4584131/1454178)
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a [refresher](https://stackoverflow.com/a/26026278/1454178) on the `push` and `pop`
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[instructions](http://www.cs.virginia.edu/~evans/cs216/guides/x86.html)
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while writing this post.
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2019-01-21 13:42:30 -05:00
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And finally, I'll do what I can to flag potential future changes, but the Rust docs
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have a notice worth repeating:
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> Rust does not currently have a rigorously and formally defined memory model.
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>
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> -- [the docs](https://doc.rust-lang.org/std/ptr/fn.read_volatile.html)
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# Stacking Up: Non-Heap Memory Types
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We'll start with the ["happy path"](https://en.wikipedia.org/wiki/Happy_path):
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what happens when Rust is able to figure out *at compile time* how much memory
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will be used in your program.
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This is important because of the extra optimizations Rust uses when it can predict
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how much memory is needed! Let's go over a quick example:
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```rust
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const MICROS_PER_MILLI: u32 = 1000;
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const NANOS_PER_MICRO: u32 = 1000;
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pub fn millis_to_nanos(millis: u32) -> u32 {
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let micros = millis * MICROS_PER_MILLI;
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let nanos = micros * NANOS_PER_MICRO;
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return nanos;
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}
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```
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-- [Compiler Explorer](https://godbolt.org/z/tOwngk)
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Forgive the overly simple code, but this shows off what the compiler can figure out
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about your program:
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1. There's one `u32` passed to the function, and two `u32`'s used in the function body.
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Each one is 4 bytes, for a total of 12 bytes. We can temporarily reserve space for all
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variables because we know exactly how much space is needed.
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- If you're looking at the assembly: `millis` is stored in `edi`,
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`micros` is stored in `eax`, and `nanos` is stored in `ecx`.
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The `eax` register is re-used to store the final result.
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2. Because `MICROS_PER_MILLI` and `NANOS_PER_MICRO` are constants, the compiler never
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allocates memory, and just burns the constants into the final program.
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- Look for the instructions `mov edi, 1000` and `mov ecx, 1000`.
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Given this information, the compiler can efficiently lay out your memory usage so
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that the program never needs to ask the kernel/allocator for memory! This example
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was a bit silly though, so let's talk about the more interesting details.
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2019-01-21 13:26:39 -05:00
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## **const** and **static**: Program Allocations
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2019-01-15 22:42:26 -05:00
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The first memory type we'll look at is pretty special: when Rust can prove that
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a *value* is fixed for the life of a program, and when a *reference* is valid for
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the duration of the program (`static`, not specifically `'static`).
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Understanding the distinction between value and reference is important for reasons
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we'll go into below. The
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[full specification](https://github.com/rust-lang/rfcs/blob/master/text/0246-const-vs-static.md)
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for these two memory types is available, but we'll take a hands-on approach to the topic.
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### **const**
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The quick summary is this: `const` declares a read-only block of memory that is loaded
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as part of your program binary (during the call to [exec(3)](https://linux.die.net/man/3/exec)).
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Any `const` value resulting from calling a `const fn` is guaranteed to be materialized
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at compile-time (meaning that access at runtime will not invoke the `const fn`),
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even though the `const fn` functions are available at run-time as well. The compiler
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can choose to copy the constant value wherever it is deemed practical. Getting the address
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of a `const` value is legal, but not guaranteed to be the same even when referring to the
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same named identifier.
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The first point is a bit strange - "read-only memory".
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[The Rust book](https://doc.rust-lang.org/book/ch03-01-variables-and-mutability.html#differences-between-variables-and-constants)
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mentions in a couple places that using `mut` with constants is illegal,
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but it's also important to demonstrate just how immutable they are. *Typically* in Rust
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you can use "inner mutability" to modify things that aren't declared `mut`.
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[`RefCell`](https://doc.rust-lang.org/std/cell/struct.RefCell.html) provides an API
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to guarantee at runtime that some consistency rules are enforced:
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2019-01-15 22:42:26 -05:00
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```rust
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use std::cell::RefCell;
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fn my_mutator(cell: &RefCell<u8>) {
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// Even though we're given an immutable reference,
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// the `replace` method allows us to modify the inner value.
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cell.replace(14);
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}
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fn main() {
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let cell = RefCell::new(25);
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// Prints out 25
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println!("Cell: {:?}", cell);
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my_mutator(&cell);
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// Prints out 14
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println!("Cell: {:?}", cell);
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}
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```
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-- [Rust Playground](https://play.rust-lang.org/?version=stable&mode=debug&edition=2018&gist=8e4bea1a718edaff4507944e825a54b2)
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When `const` is involved though, modifications are silently ignored:
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```rust
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use std::cell::RefCell;
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const CELL: RefCell<u8> = RefCell::new(25);
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fn my_mutator(cell: &RefCell<u8>) {
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cell.replace(14);
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}
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fn main() {
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// First line prints 25 as expected
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println!("Cell: {:?}", &CELL);
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my_mutator(&CELL);
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// Second line *still* prints 25
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println!("Cell: {:?}", &CELL);
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}
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```
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-- [Rust Playground](https://play.rust-lang.org/?version=stable&mode=debug&edition=2018&gist=88fe98110c33c1b3a51e341f48b8ae00)
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And a second example using [`Once`](https://doc.rust-lang.org/std/sync/struct.Once.html):
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```rust
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use std::sync::Once;
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const SURPRISE: Once = Once::new();
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fn main() {
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// This is how `Once` is supposed to be used
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SURPRISE.call_once(|| println!("Initializing..."));
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// Because `Once` is a `const` value, we never record it
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// having been initialized the first time, and this closure
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// will also execute.
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SURPRISE.call_once(|| println!("Initializing again???"));
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}
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```
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-- [Rust Playground](https://play.rust-lang.org/?version=stable&mode=debug&edition=2018&gist=c3cc5979b5e5434eca0f9ec4a06ee0ed)
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2019-01-21 13:26:39 -05:00
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When the [`const` specification](https://github.com/rust-lang/rfcs/blob/26197104b7bb9a5a35db243d639aee6e46d35d75/text/0246-const-vs-static.md)
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refers to ["rvalues"](http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2010/n3055.pdf), this is
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what they mean. [Clippy](https://github.com/rust-lang/rust-clippy) will treat this as an error,
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but it's still something to be aware of.
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The next thing to mention is that `const` values are loaded into memory *as part of your program binary*.
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Because of this, any `const` values declared in your program will be "realized" at compile-time;
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accessing them may trigger a main-memory lookup (with a fixed address, so your CPU may
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be able to prefetch the value), but that's it.
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```rust
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use std::cell::RefCell;
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const CELL: RefCell<u32> = RefCell::new(24);
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pub fn multiply(value: u32) -> u32 {
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value * (*CELL.get_mut())
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}
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```
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-- [Compiler Explorer](https://godbolt.org/z/ZMjmdM)
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The compiler only creates one `RefCell`, and uses it everywhere. However, that value
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is fully realized at compile time, and is fully stored in the `.L__unnamed_1` section.
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If it's helpful though, the compiler can choose to copy `const` values.
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```rust
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const FACTOR: u32 = 1000;
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pub fn multiply(value: u32) -> u32 {
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value * FACTOR
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}
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pub fn multiply_twice(value: u32) -> u32 {
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value * FACTOR * FACTOR
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}
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```
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-- [Compiler Explorer](https://godbolt.org/z/Qc7tHM)
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In this example, the `FACTOR` value is turned into the `mov edi, 1000` instruction
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in both the `multiply` and `multiply_twice` functions; the "1000" value is never
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"stored" anywhere, as it's small enough to inline into the assembly instructions.
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Finally, getting the address of a `const` value is possible but not guaranteed
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to be unique (given that the compiler can choose to copy values). In my testing
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I was never able to get the compiler to copy a `const` value and get differing pointers,
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but the specifications are clear enough: *don't rely on pointers to `const`
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values being consistent*. To be frank, caring about locations for `const` values
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is almost certainly a code smell.
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### **static**
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Static variables are related to `const` variables, but take a slightly different approach.
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When the compiler can guarantee that a *reference* is fixed for the life of a program,
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you end up with a `static` variable. Where `const` variables can never change value
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(because the value may have been copied to random pieces of code), `static` variables
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uniquely identify a location in memory. This allows them to change value under specific
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circumstances.
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2019-01-21 13:26:39 -05:00
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1. What's going on with `lazy_static!()`?
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2. What's going on with `thread_local!()`?
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2019-01-04 00:08:36 -05:00
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2019-01-08 00:16:10 -05:00
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## **push** and **pop**: Stack Allocations
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2018-12-19 23:21:54 -05:00
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Example: Why doesn't `Vec::new()` go to the allocator?
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Questions:
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1. What is the "Push" instruction? Why do we like the stack?
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2. How does Rust allocate arguments to the function?
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3. How does Rust allocate variables created in the function but never returned?
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4. How does Rust allocate variables created in the function and returned?
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5. How do Option<> or Result<> affect structs?
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6. How are arrays allocated?
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7. Legal to pass an array as an argument?
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2019-01-21 13:26:39 -05:00
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8. Can you force a heap allocation with arrays that are larger than stack size?
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- Check `ulimit -s`
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2018-12-19 23:21:54 -05:00
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2019-01-01 14:31:15 -05:00
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# Piling On - Rust and the Heap
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2018-12-19 23:21:54 -05:00
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Example: How to trigger a heap allocation
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Questions:
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1. Where do collection types allocate memory?
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2. Does a Box<> always allocate heap?
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2019-01-01 14:31:15 -05:00
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- Yes, with exception of compiler optimizations
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2018-12-19 23:21:54 -05:00
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3. Passing Box<Trait> vs. genericizing/monomorphization
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2019-01-01 14:31:15 -05:00
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- If it uses `dyn Trait`, it's on the heap.
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2018-12-26 10:19:34 -05:00
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4. Other pointer types? Do Rc<>/Arc<> force heap allocation?
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2019-01-01 14:31:15 -05:00
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- Maybe? Part of the alloc crate, but should use qadapt to check
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2019-01-21 13:26:39 -05:00
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5. How many allocations happen before `main()` is called?
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2018-12-19 23:21:54 -05:00
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2019-01-01 14:31:15 -05:00
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# Compiler Optimizations Make Everything Complicated
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2018-12-19 23:21:54 -05:00
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2018-12-26 10:19:34 -05:00
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Example: Compiler stripping out allocations of Box<>, Vec::push()
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2019-01-01 14:31:15 -05:00
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# Appendix and Further Reading
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2018-12-26 10:19:34 -05:00
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[embedonomicon]: https://docs.rust-embedded.org/embedonomicon/
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[libc]: CRATES.IO LINK
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[winapi]: CRATES.IO LINK
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[malloc]: MANPAGE LINK
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