metrics
rust
Our great sponsors
metrics | rust | |
---|---|---|
19 | 2,680 | |
70 | 92,627 | |
- | 2.4% | |
9.7 | 10.0 | |
4 days ago | 3 days ago | |
Rust | ||
- | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
metrics
-
SQLx 0.7 released! Offline mode usability improvements, performance fixes and major upgrades across the board!
It's worth keeping an eye on Diesel's metrics suite (https://github.com/diesel-rs/metrics) as well; I found and fixed some suboptimal buffering that was affecting performance.
-
What's everyone working on this week (26/2023)?
See here for some numbers. The relevant code lives inside the diesel github repository. Please also keep in mind that these are just numbers and you should run those these on your own and also run tests with your actual work load.
-
Sqlx, diesel, orm or other sqlx query ?
Performance is worse than in comparable frameworks
-
Handle sessions and database requests
For the database part you might want to checkout a crate that's not based on sqlx as sqlx is known for providing non-optimal performance for the sqlite backend. rusqlite or diesel perform much better for this use case.
-
What ORM do you use?
No it will likely not be less performant. See these numbers for some benchmark results for numbers. (As always with benchmarks: Please don't trust my numbers. To be sure you need to do your own benchmarks with your own use-case)
-
Trying to learn by tutorials, for cannot find a single Actix/Diesel tutorial that actually compiles
See here for some benchmark results. The benchmarks itself are in the diesel repository. Otherwise I believe there are numbers in the techempower benchmarks as well, although that includes other factors .
-
Thoughts about switching from sqlx to tokio_postgres?
I'm developing a Rust web server backend in Axum that uses Postgres and performance will be pretty important since I plan to run it on one server for as long as possible. It seems like the postgres crate is about 2x faster than sqlx, and the postgres repository seems pretty active still.
-
Ormlite: An ORM in Rust for developers that love SQL
Congratulations to the release. I know all of this is hard work. I would like to invite you to submit a ormlite implementation to the diesel benchmark collection. As soon as that's merged you will get regular reports here. The relevant code is here in the diesel repository.
-
Rails developers write some Rust: a review of Axum 0.6
In that case you may be interested in the metrics for different database libraries. diesel is doing rather well at the moment. sqlx is in the middle of a large rewrite that should improve performance, so we'll see how it compares after that
-
Using Rust as my Backend
See here for some benchmark results for the diesel repository. Please keep in mind that as always with benchmarks, these numbers are not necessarily true for your usecase. Be sure to checkout at least the benchmark code and draw your own conclusions from there.
rust
- Rust Weird Exprs
- Critical safety flaw found in Rust on Windows (CVE-2024-24576)
-
Unformat Rust code into perfect rectangles
Almost fixed the compiler: https://github.com/rust-lang/rust/pull/123325
-
Implement React v18 from Scratch Using WASM and Rust - [1] Build the Project
Rust: A secure, efficient, and modern programming language (omitting ten thousand words). You can simply follow the installation instructions provided on the official website.
-
Show HN: Fancy-ANSI – Small JavaScript library for converting ANSI to HTML
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/
-
Upgrading Hundreds of Kubernetes Clusters
We strongly believe in Rust as a powerful language for building production-grade software, especially for systems like ours that run alongside Kubernetes.
-
What Are Const Generics and How Are They Used in Rust?
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.
- Enable frame pointers for the Rust standard library
-
Learning Rust: Structuring Data with Structs
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.
-
Algorithms for Modern Hardware
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.
What are some alternatives?
sea-orm - 🐚 An async & dynamic ORM for Rust
carbon-lang - Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)
sea-query - 🔱 A dynamic SQL query builder for MySQL, Postgres and SQLite
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
sqlx - 🧰 The Rust SQL Toolkit. An async, pure Rust SQL crate featuring compile-time checked queries without a DSL. Supports PostgreSQL, MySQL, and SQLite.
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
cornucopia - Generate type-checked Rust from your PostgreSQL.
Odin - Odin Programming Language
rust-postgis - postgis helper library.
Elixir - Elixir is a dynamic, functional language for building scalable and maintainable applications
const-eval - home for proposals in and around compile-time function evaluation
Rustup - The Rust toolchain installer