Rust is at the level of C/C++, without an elaborate run-time system. It solves the three basic problems that cause most failures in C/C++ programs: "How big is it?", "Who deletes it", and "Who locks it". It does this without throwing a garbage collector at the problem, which means it can be used for operating systems and hard real time.
The basic memory management mechanism is single-owner pointers, with language enforcement to make this work even as pointers are passed to functions. (Pointers passed to functions are "borrowed"; you can't keep a copy whose scope outlives the function return.) For more complex ownership, there are pointers with reference counts. For data shared across thread boundaries, there are atomic, locked pointers with reference counts.
We need Rust. We're still seeing CERT advisories on buffer overflows in C/C++ programs, after almost four decades of C. The threats are getting worse, too; it's not script kiddies any more, it's governments.
I just hope the Rust crowd doesn't screw up.
You're not paranoid when they're out to get you. The most recent US-CERT advisory:
Alert (TA14-300A) Phishing Campaign Linked with “Dyre” Banking Malware (Adobe Reader vulnerability) "...memory corruption vulnerabilities that could lead to code execution".
This has been going on for over thirty years. It's time for the suffering to stop.
The memory management, and low level control make rust special. Thats what the author is talking about.
...why is an article that shows how to put rust into action bad?
Its a great practical article about dipping your toes into the water of using rust in my oppinion. /shrug
I know that the Rust compiler is written in Rust (step 1), but I'm not sure about the runtime.
- LLVM for the complier
- hoedown (markdown parser/renderer) for the documentation generator
- miniz for compressing the metadata stored in each library
- a few other tiny wrappers[1] for which I see no reason other than inertia/low-priority for translating into Rust (e.g. there would be no particular build-system benefit to Rustifying them because C/C++ compilers are needed for the other things anyway)
[1]: https://github.com/rust-lang/rust/tree/master/src/rt (the 'rt' = runtime name is a holdover from when the runtime was not written in Rust)
Whoa now, let's not go lumping C and C++ together! C++ has quite a heavier runtime to manage stuff like exceptions and RTTI! (though, to be honest, I don't know what's a C++ program's runtime requirement if compiled with -fno-exceptions, -fno-rtti and the like)
For example, this is the part of libsupc++ (effectively gnu's c++ "runtime") that deals with throwing: https://github.com/gcc-mirror/gcc/blob/master/libstdc%2B%2B-...
I've done it in the past with linker tricks to generate an ELF section with the list of ctor addresses. The asm that calls main (which if you're rolling your own runtime, you probably wrote as well) just calls them all right before it calls main().
Of course, LLVM can be used as a JIT (e.g. what Apple is doing with javascript), but Rust does not use or need it.
The "thing" that rust is meant to be a good fit for is implementing Servo.
EDIT: People are excited about it because of the promise of memory-safety (fewer crashes and security issues), as a primary driver. Servo is a proof that large-scale programs can be written in this way. They're not just excited about writing things in a new language for the hell of it.
Managing lifetimes is hard to reason about (though this is not a problem with Rust, but with lifetimes... Rust just makes it explicit.)
As soon as you start using generics things can quickly get out of control. Here's one of my function signatures:
pub fn xor_together<'a, 'b, 'r, A, B, R, T, U>(iter_a: T, iter_b: U) -> Map<'r, (&'a A, &'b B), R, Zip<T, U>>
where A: BitXor<B, R>,
T: Iterator<&'a A>,
U: Iterator<&'b B>
If you get those lifetimes wrong, the error propagates and you end up having lifetime errors farther in your call chain, which are quite hard to debug. I'm not even sure those lifetimes are 100% right.Some other weird things include closures. There are several types of closures, not interchangeable with each other (nor with fn) and honestly I don't understand them (and couldn't find docs to explain them). I hope this changes as Rust stabilizes.
I'm loving it so far, but boy... how hard it is.
[dependencies.lazy_static]
git = "https://github.com/Kimundi/lazy-static.rs"
Does Rust, like Go, have tools for freezing dependencies? So when the git project changes, you're not left wondering why a project has sudden bugs not seen before?I love the idea of how easy these can be included in a project, but I dislike leaning on a public repository that may change at a moments notice.
For as much as I hate Maven for some reasons, I do appreciate the ecosystem and the ease at which I can...say, ask for a specific version of a specific artifact - ensuring my application will always build.
One of the main design goals for Cargo is reproducable builds. E.g. the first time anything is build Cargo will create a Cargo.lock[0] file that fixes the dependency at the exact commit that the build used, so one can come back in a year and rerun to get the same result (assuming upstream hasn't edited their history). Upgrading/changing a dep then requires explicitly calling `cargo upgrade`.
One can also manually specify versions and exact commits[1] in the Cargo.toml (the file written to specify those deps), e.g.
[dependencies.lazy_static]
git = "https://github.com/Kimundi/lazy-static.rs"
version = "1.1"
[0]: e.g. https://github.com/servo/servo/blob/master/Cargo.lock (machine generated/consumed)[1]: http://doc.crates.io/manifest.html#the-%5Bdependencies.*%5D-...
Good to see none the less!
TIL.
What tools are you referring to Go here? There are a handful of extra-standard mechanisms you can use to make it somewhat better (through clever hacks on urls and such), but the expectation in go-land seems to be that 'freezing your dependencies' is 'vendor them wholesale into your git repo', which is not exactly robust. Go's story on "application will always build" is kind of notoriously bad.
It would be nice to have it baked in, but thus is the life of bleeding edge development (of which I do not engage, in my safe Python Cocoon).
(git dependencies managed by the author always have the problem of the repos being renamed, vanishing, moved somewhere else)
I'm confused by this (total Rust newbie): wouldn't pass by value imply creating a new copy of the String with its own heap-allocated buffer? What does "no implicit heap allocation" refer to?
TL;DR: Modern languages can tell when you're going to be returning a value, and just place the return in the right place, rather than making a copy that'd just get thrown away. I believe this is what they're referring to.
It also might be talking about how just the tag gets copied, and not all the values. I think.
That post is about syntax extensions, so yes, you'll have to be using the nightly build if you want to keep using them. They'll be considered high priority to stabilize, but given that they rely on compiler internals... I actually argued against writing that guide because of this, but eventually said okay.
It has a level of flux that is astonishing (even compared to other pre-1.0 languages)... now, it could be argued that this is how a pre-1.0 should be, but it makes it very hard to build any serious project around it (note: a few companies have).
Rust has zero-cost FFI into C, but cannot call into C++ (without it doing an extern "c" of its own) due to lack of a stable ABI.
That said, yes, doing so before 1.0 takes a special kind of organization.
A lot of boilerplate C or C++ code was eliminated, and while we never see the actual assembly, we're told that it would generate similar instruction sets to the C C++ implementations.
So we should get pretty good performance out of it!?