smartstring
dhall-lang
smartstring | dhall-lang | |
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7 | 113 | |
482 | 4,137 | |
- | 0.3% | |
0.0 | 6.0 | |
8 months ago | 2 months ago | |
Rust | Dhall | |
Mozilla Public License 2.0 | BSD 3-clause "New" or "Revised" License |
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smartstring
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Does using "String" instead of "&str" a lot results in unoptimised code?
Your use case sounds like it will involve a lot of small strings that use a subset of UTF-8. If you’re concerned about performance, you could look into something like smartstring. Sixbit also looks interesting, but it looks like it won’t give you any more characters and it’d probably require additional computation to do the conversion (and they’d have to be converted back out).
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Rust Is Hard, Or: The Misery of Mainstream Programming
> If you have a long-running async function, then pass parameters by value! If you have a polymorphic async function, then return your result in a Box.
I've taken to making heavy use of the smallvec and smartstring crates for this. Most lists and strings are small in practice. Using smallvec / smartstring lets you keep most clone() calls allocation-free. This in turn lets you use owned objects, which are easier to reason about - for you and the borrow checker. And you keep a lot of the performance of just passing around references.
I tried to use async rust a couple of years ago, and fell on my face in the process. Most of my rust at the moment is designed to compile to wasm - and then I'm leaning on nodejs for networking and IO. Writing async networked code is oh so much easier to reason about in javascript. When GAT, TAIT and some other language features to fix async land I'll muster up the courage to make another attempt. But rust's progress at fixing these problems feels painfully slow.
https://crates.io/crates/smallvec / https://crates.io/crates/smartstring
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GitHub - epage/string-benchmarks-rs: Comparison of Rust string types
Just to point out, smartstring no longer assumes String memory layout. From the changelog:
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Why is str not just [char]?
There's some really good crates that implement SSO floating around - eg, SmartString. But I agree - its a pity they're needed. Swift built this into the core string type in the language. I think that was the right call.
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Announcing `compact_str`! A super memory efficient immutable string that is transparently stored on the stack, when possible
Comparatively: * SmolStr can inline up to 22 bytes but does not adjust down for 32-bit architectures, meaning it's potentially wasting memory on 32-bit archs. Similarly though it's immutable and Clone is O(1) * SmartString can inline up to 23 bytes, but it's mutable and Clone is O(n). Also this crate makes assumptions about the memory layout of a String, which in theory should be fine, but is a slight caveat.
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Version 0.19.15 released.
SmartString is used to store identifiers (which tends to be short, fewer than 23 characters, and ASCII-based) because they can usually be stored inline. Map keys now also use SmartString.
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Speed of Rust vs. C
I’ve been using smartstrings, which is both excellent and maintained. https://github.com/bodil/smartstring
dhall-lang
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Apple releases Pkl – onfiguration as code language
Fail to see how this is any different than Dhall (https://dhall-lang.org/) other than it produces plists too.
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Pkl, a Programming Language for Configuration
Kubernetes config is a decent example. I had ChatGPT generate a representative silly example -- the content doesn't matter so much as the structure:
https://gist.github.com/cstrahan/528b00cd5c3a22e3d8f057bb1a7...
Now consider 100s (if not 1000s) of such files.
I haven't given Pkl an in depth look yet, but I can say that the Industry Standard™ of "simple YAML" + string substitution (with delicate, error prone indentation -- since YAML is indentation sensitive) is easily beat by any of:
- https://jsonnet.org/
- https://nickel-lang.org/
- https://nixos.org/manual/nix/stable/language/index.html
- https://dhall-lang.org/
- (insert many more here, probably including Pkl)
- Why the fuck are we templating YAML? (2019)
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Is Htmx Just Another JavaScript Framework?
There are underpowered languages / tools, that can only solve a problem for which they are intended poorly. But not all limited tools are like that.
Say, eBPF is prominently not Turing-complete, which allows to guarantee that a eBPF program terminates, and even how soon. Still eBPF is hugely useful in its area.
Or, say, regular expressions are limited to regular languages; in particular, they famously [1] cannot process recursive structures, like trees. Still tools like grep / ag / rg are mightily useful.
Yes, I agree that YAML is underpowered for proper k8s configuration! But it's also too powerful for its own good in other aspects [2]. I wish Google used Dhall [3] or their own purely functional config language (FCL? I already forgot the name) instead of YAML; sadly, they did not.
[1]: https://stackoverflow.com/a/1732454/223424
[2]: https://ruudvanasseldonk.com/2023/01/11/the-yaml-document-fr...
[3]: https://dhall-lang.org/
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10 Ways for Kubernetes Declarative Configuration Management
Dhall: Dhall is a programmable configuration language that combines features like JSON, functions, types, and import capabilities. Its style leans towards functional programming, so if you're familiar with functional-style languages such as Haskell, you might find Dhall to be quite intuitive.
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Berry is a ultra-lightweight dynamically typed embedded scripting language
I've been thinking along these lines but more 'strongly validated' than statically typed in the sense that you'd be better off being able to load the entire config and then produce a list of problems (and should be able to offer good editor support if done correctly).
Though https://dhall-lang.org/ demonstrates that you can statically type quite a lot of configuration to great advantage, which appears to be programmatically embeddable in multiple languages per https://docs.dhall-lang.org/howtos/How-to-integrate-Dhall.ht...
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What Is the Point of Decidability
> Where practical is in the sense of an engineer (or in their terms, a CS practitioner),
Configuration processing. E.g. I'd like my yamls to be decidable, though I'd settle for guaranteed to halt[1].
[1] https://dhall-lang.org/
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What Is Wrong with TOML?
Maybe you'd like jsonnet: https://jsonnet.org/
I find it particularly useful for configurations that often have repeated boilerplate, like ansible playbooks or deploying a bunch of "similar-but" services to kubernetes (with https://tanka.dev).
Dhall is also quite interesting, with some tradeoffs: https://dhall-lang.org/
A few years ago I did a small comparison by re-implementing one of my simpler ansible playbooks: https://github.com/retzkek/ansible-dhall-jsonnet
- Show HN: FlakeHub – Discover and publish Nix flakes
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Home Blog Better configuration languages – A talk about Dhall [video]
And to checkout Dhall: https://dhall-lang.org/
What are some alternatives?
smol_str
cue - CUE has moved to https://github.com/cue-lang/cue
compact_str - A memory efficient string type that can store up to 24* bytes on the stack
jsonnet - Jsonnet - The data templating language
min-sized-rust - 🦀 How to minimize Rust binary size 📦
cue - The home of the CUE language! Validate and define text-based and dynamic configuration
libskry_r - Lucky imaging library
terraform - Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
bitter - Extract bits from a byte slice
jsonlogic - Go Lang implementation of JsonLogic
redgrep - ♥ Janusz Brzozowski
nix-gui - Use NixOS Without Coding