json-benchmark
rust
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json-benchmark | rust | |
---|---|---|
12 | 2,682 | |
169 | 92,831 | |
4.7% | 2.6% | |
4.8 | 10.0 | |
about 1 month ago | 5 days ago | |
C++ | Rust | |
Apache License 2.0 | 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.
json-benchmark
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Do You Know How Much Your Computer Can Do in a Second?
I don’t really understand what this is trying to prove:
- you don’t seem to specify the size of the input. This is the most important omission
- you are constructing an optimised representation (in this case, strict with fields in the right places) instead of a generic ‘dumb’ representation that is more like a tree of python dicts
- rust is not a ‘moderately fast language’ imo (though this is not a very important point. It’s more about how optimised the parser is, and I suspect that serde_json is written in an optimised way, but I didn’t look very hard).
I found[1], which gives serde_json to a dom 300-400MB/s on a somewhat old laptop cpu. A simpler implementation runs at 100-200, a very optimised implementation gets 400-800. But I don’t think this does that much to confirm what I said in the comment you replied to. The numbers for simd json are a bit lower than I expected (maybe due to the ‘dom’ part). I think my 50MB/a number was probably a bit off but maybe the python implementation converts json to some C object and then converts that C object to python objects. That might half your throughput (my guess is that this is what the ‘strict parse’ case for rustc_serialise is roughly doing).
[1] https://github.com/serde-rs/json-benchmark
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Serde Json vs Rapidjson (Rust vs C++)
But the code OP posted deserializes JSON without knowing anything about the structure, which is known to be slow in serde-json and doesn't appear to be the focus for the library. The json and json-deserializer crates should perform much better in that scenario.
- Good example of high performance Rust project without unsafe code?
- I'm a veteran C++ programmer, what can Rust offer me?
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Rust is just as fast as C/C++
Of course that doesnt mean that in practice the available libraries are as optimized. Did you try actix? It tends to be faster than rocket. Also json-rust and simd-json are usually faster than serde-json, when you don't deserialize a known structure. Here are some benchmarks: https://github.com/serde-rs/json-benchmark
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Lightweight template-based parser build system. Simple prototyping. Comfortable debugging. Effective developing.
The data for the test is taken from here: https://github.com/serde-rs/json-benchmark/tree/master/data
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Performance of serde js value conversion and reference types
Here are some benchmarks https://github.com/serde-rs/json-benchmark
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Serde zero-copy benchmarks?
I found two projects: * https://github.com/djkoloski/rust_serialization_benchmark - doesn't use Serde zero copy * https://github.com/serde-rs/json-benchmark - has copy vs borrowed, but the results were the same for both, so something's off there
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Android Developers Have A Tough Life
Rust has a good enough standard library (I’d say comparable to C++), that you don’t really need packages for a lot of stuff. Most of my projects have 1 or 2 dependencies. Most of the time I am pulling in a JS parser (serde) and a parallelization library (rayon). These are both high performance libraries that make writing very fast (serde can handle 850 MB/s on a 5 year old laptop cpu per their benchmarks). Rayon is one of the best parallelism libraries I’ve worked with.
rust
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Why Does Windows Use Backslash as Path Separator?
Here's an example of someone citing a disagreement between CRT and shell32:
https://github.com/rust-lang/rust/issues/44650
This in addition to the Rust CVE mentioned elsewhere in the thread which was rooted in this issue:
https://blog.rust-lang.org/2024/04/09/cve-2024-24576.html
Here are some quick programs to test contrasting approaches. I don't have examples of inputs where they parse differently on hand right now, but I know they exist. This was also a problem that was frequently discussed internally when I worked at MSFT.
#include
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I hate Rust (programming language)
> instead of choosing a certain numbered version of the random library (if I remember correctly) I let cargo download the latest version which had a completely different API.
Yeah, they didn't follow the instructions and got burned. I still think that multiple things went wrong simultaneously for that experience. I wonder if more prevalent uses of `#[doc(alias = "name")]` being leveraged by https://github.com/rust-lang/rust/pull/120730 (which now that I check only accounts for methods and not functions, I should get on that!) so that when changing APIs around people at least get a slightly better experience.
- Rust Weird Exprs
- Critical safety flaw found in Rust on Windows (CVE-2024-24576)
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Unformat Rust code into perfect rectangles
Almost fixed the compiler: https://github.com/rust-lang/rust/pull/123325
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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.
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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/
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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.
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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
What are some alternatives?
rust_serialization_benchmark - Benchmarks for rust serialization frameworks
carbon-lang - Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)
hjson-rust for serde - Hjson for Rust
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
simd-json - Rust port of simdjson
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).
hyperjson - 🐍 A hyper-fast Python module for reading/writing JSON data using Rust's serde-json.
Odin - Odin Programming Language
MessagePack - MessagePack serializer implementation for Java / msgpack.org[Java]
Elixir - Elixir is a dynamic, functional language for building scalable and maintainable applications
json - Strongly typed JSON library for Rust
Rustup - The Rust toolchain installer