Slide with text: “Rust teams at Google are as productive as ones using Go, and more than twice as productive as teams using C++.”
In small print it says the data is collected over 2022 and 2023.
Slide with text: “Rust teams at Google are as productive as ones using Go, and more than twice as productive as teams using C++.”
In small print it says the data is collected over 2022 and 2023.
It’s a stack, just like Go’s
defer()
.Probably because Rust doesn’t have exceptions, and I’m pretty sure there are no guarantees with
panic!()
.Same, but that’s because Rust’s semantics are different. It’s nice to have the option if RAII isn’t what you want for some reason (it usually is), but I absolutely won’t champion it since it just adds bloat to the language for something that can be solved another way.
Well, it has something semantically equivalent while being more explicit, which is
Result
(just likeOption
is the semantic equivalent ofnull
).I actually do quite a bit of bare metal Rust work so I’m pretty familiar with this. There are sort of guarantees with panic. You can customize the panic behavior with a
panic_handler
function, and you can also somewhat control stack unwinding during a panic usingstd::panic::catch_unwind
. The later requires that anything returned from it implement theUnwindSafe
trait which is sort of like a combinationSend + Sync
. That said, Rust very much does not want you to regularly rely on stack unwinding. Anything that’s possible to recover from should useResult
rather thanpanic!()
to signal a failure state.Yup. My point is just that
scope(failure)
could be problematic because of the way Rust works with error handling.What could maybe be cool is D’s in/out contracts (example pulled from here):
int fun(ref int a, int b) in { assert(a > 0); assert(b >= 0, "b cannot be negative!"); } out (r) { assert(r > 0, "return must be positive"); assert(a != 0); } do { // function body }
The
scope(failure)
could partially be solved with theout
contract. I also don’t use this (I find it verbose and distracting), but maybe that line of thinking could be an interesting way to generically handle errors.Hmm… I think the Rust-y answer to that problem is the same as the Haskell-y answer, “Use the Types!”. I.E. in the example above instead of returning an
i32
you’d return aNonZero<u32>
, and your args would bea: &NonZero<u32>, b: u32
. Basically make invalid state unrepresentable and then you don’t need to worry about the API being used wrong.I’m more referring to a more general application, such as:
fn do_stuff() -> Result<...> { if condition { return Error(...) } return Ok(...) } out (r) { if r.is_err() { // special cleanup (maybe has access to fn scope vars) } }
That gives you some of the
scope(failure)
behavior, without as many footguns. Basically, it would desugar to:fn do_stuff() -> Result<...> { let ret = if condition { Error(...) } else { Ok(eee) }; if ret.is_err() { ... }
I’m not proposing this syntax, just suggesting that something along these lines may be interesting.
I think the issue with that is that it’s a little bit of a solution in search of a problem. Your example of:
fn do_stuff() -> Result<...> { if condition { return Error(...) } return Ok(...) } out (r) { if r.is_err() { // special cleanup (maybe has access to fn scope vars) } }
isn’t really superior in any meaningful way (and is arguably worse in some ways) to:
fn do_stuff() -> Result<...> { if condition { // special cleanup (maybe has access to fn scope vars) return Error(...) } return Ok(...) }
For more complicated error handling the various functions on Result probably have all the bases covered.
For what it’s worth a lot of my day to day professional work is actually in Java and our code base has adopted various practices inspired by Rust and Haskell. We completely eliminated null from our code and use Optional everywhere and use a compile time static analysis tool to validate that. As for exception handling, we’re using the Reactor framework which provides a type very similar to Result, and we essentially never directly throw or catch exceptions any more, it’s all handled with the functions Reactor provides for error handling.
I just don’t think the potential footguns introduced by
null
andexception
s are worth it, the safer type level abstractions ofOption
andResult
are essentially superior to them in every way.Nice. We use Python and use
None
everywhere. I ranpyright
on our codebase, and while we use typing religiously, our largest microservice has ~6k typing errors, most of which are uncheckedNone
s. We also use exceptions quite a bit, which sucks (one thing really annoys me is a function likecheck_permissions()
which returns nothing, and throws if there’s an issue, but it could totally just return abool
. We have nonsense like that everywhere.I use Rust for all of my personal projects and love not having to deal with null everywhere. I’d push harder for it at work if others were interested, but I’m the only one who seems passionate about it (about 2-3 are “interested,” but haven’t even done the tutorial).
Yeah as far as I’m concerned
null
is public enemy number one. I refuse to work in any language that doesn’t allow me to indicate in some fashion that a variable is non-nullable. I just about had an aneurysm when I found out that JavaScript not only hasnull
, but alsonil
andundefined
and they all mean something subtly different. To be fair though, JavaScript is like a greatest hits of bad language design.JavaScript doesn’t have
nil
, but it hasnull
,NaN
andundefined
.But yeah, wrapping
null
in an Option is a really nice.