wai-conduit VS rust

found some context https://github.com/yesodweb/wai/pull/931

Yes. Not because of the developer, but because of how extremely flexible and dynamic the Lisp-family languages are. The power and joy of Lisp is in how it's almost a meta-language, so every project can become its own EDSL. The most famous (infamous?) example of this is Vacietis[2], which is a Common Lisp library that allows C code to be imported directly(!!).

[0] IIRC the Yesod framework's Warp does well on benchmarks, and when you look at code like https://github.com/yesodweb/wai/blob/master/warp/Network/Wai... you can see the lengths they had to go through to work around the choice of implementation language.

[1] Go has a garbage collector, but exposes the stack/heap distinction more directly than Haskell, so it's easier to write allocation-free code in hot paths.

[2] https://github.com/vsedach/Vacietis

My $3/mo vultr box can handle HN loads easily when using a fast backend (I've settled on https://github.com/yesodweb/wai based apps - the only thing that has worked well for me so far).

What kind of metrics do you derive "ton of stuff" from? It seems like the largest blocker is Cryptonite. It's unreasonable to let a handful of packages keep back Nightly. You can now run Warp without it. How does your list of essential blockers for 9.2 look like?

No, Wai is the common abstraction, sort of like connect. Warp is one (only AFAIK) server implementation of it. Both Wai and Warp are developed along side with Yesod, you can find their source code here https://github.com/yesodweb/wai

WAI

Almost fixed the compiler: https://github.com/rust-lang/rust/pull/123325

Rust: A secure, efficient, and modern programming language (omitting ten thousand words). You can simply follow the installation instructions provided on the official website.

Recently did something similar in Rust but for generating SVGs. We've adopted it for snapshot testing of cargo and rustc's output. Don't have a good PR handy for showing Github's rendering of changes in the SVG (text, side-by-side, swiping) but https://github.com/rust-lang/rust/pull/121877/files has newly added SVGs.

To see what is supported, see the screenshot in the docs: https://docs.rs/anstyle-svg/latest/anstyle_svg/

We strongly believe in Rust as a powerful language for building production-grade software, especially for systems like ours that run alongside Kubernetes.

The above Assert<{N % 2 == 1}> requires #![feature(generic_const_exprs)] and the nightly toolchain. See https://github.com/rust-lang/rust/issues/76560 for more info.

Another week, another dive into Rust. This time, we're delving into structs. Structs bear resemblance to interfaces in TypeScript, enabling the grouping of intricate data sets within an object, much like TypeScript/JavaScript. Rust also accommodates functions within these structs, offering a semblance of classes, albeit with distinctions. Let's delve into this topic.

There’s also other reasons. For example, take binary search:

* prefetch + cmov. These should be part of the STL but languages and compilers struggle to emit the cmov properly (Rust’s been broken for 6 years: https://github.com/rust-lang/rust/issues/53823). Prefetch is an interesting one because while you do optimize the binary search in a micro benchmark, you’re potentially putting extra pressure on the cache with “garbage” data which means it’s a greedy optimization that might hurt surrounding code. Probably should have separate implementations as binary search isn’t necessarily always in the hot path.

* Eytzinger layout has additional limitations that are often not discussed when pointing out “hey this is faster”. Adding elements is non-trivial since you first have to add + sort (as you would for binary search) and then rebuild a new parallel eytzinger layout from scratch (i.e. you’d have it be an index of pointers rather than the values themselves which adds memory overhead + indirection for the comparisons). You can’t find the “insertion” position for non-existent elements which means it can’t be used for std::lower_bound (i.e. if the element doesn’t exist, you just get None back instead of Err(position where it can be slotted in to maintain order).

Basically, optimizations can sometimes rely on changing the problem domain so that you can trade off features of the algorithm against the runtime. These kinds of algorithms can be a bad fit for a standard library which aims to be a toolbox of “good enough” algorithms and data structures for problems that appear very very frequently. Or they could be part of the standard library toolkit just under a different name but you also have to balance that against maintenance concerns.