json-benchmark
pest
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json-benchmark | pest | |
---|---|---|
12 | 42 | |
169 | 4,365 | |
4.7% | 2.0% | |
4.8 | 7.4 | |
about 1 month ago | 26 days ago | |
C++ | Rust | |
Apache License 2.0 | Apache License 2.0 |
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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.
pest
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nom > regex
And some related parser tools: - https://github.com/kevinmehall/rust-peg - https://github.com/pest-parser/pest - https://github.com/lalrpop/lalrpop
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Jasmine, A rust-like programming language that compiles to Java
I had recently completed the first year of my Computer Science class at school and will begin my second year soon. My schools' class forces the use of Java programming language, and I absolutely hated it. So, over the course of a little less than a month, I wrote my own programming language, in Rust (objectively best programming language), using pest, to be as similar to Rust as possible, but compiling to Java.
- Restoration of the pest3 work effort 🙌 · pest-parser/pest · Discussion #885
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What is the state of the art for creating domain-specific languages (DSLs) with Rust?
I second pest.rs. Using it is fairly intuitive and there's also a live playground on their website which is great for quickly developing and testing your AST (abstract syntax tree) parser for whatever language you're implementing.
- pest v2.6.0 released with a new meta-grammar feature (node tags)
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Finding a Crate to Help with Terminal Program Interface
This is where you'll run into trouble. People who write parsing-related Rust crates generally write things like pest that expect their syntax to be defined completely at compile time so the parser can be run through the compiler's optimizers for best performance.
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easy way to produce a parser
Give https://pest.rs a try.
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What is your opinion about lifetime of data generated from a parsing
For now I have used pest to generate an AST that borrows from the given input. But if I can manage to make the parser generic over the return type it may be worth a refactoring.
- Is there a parsing library (lexer?) which can handle generic tokens?
- v2.5.0: introducing `pest_debugger` · Discussion #739 · pest-parser/pest
What are some alternatives?
rust_serialization_benchmark - Benchmarks for rust serialization frameworks
nom - Rust parser combinator framework
hjson-rust for serde - Hjson for Rust
lalrpop - LR(1) parser generator for Rust
simd-json - Rust port of simdjson
rust-peg - Parsing Expression Grammar (PEG) parser generator for Rust
hyperjson - 🐍 A hyper-fast Python module for reading/writing JSON data using Rust's serde-json.
chumsky - Write expressive, high-performance parsers with ease.
MessagePack - MessagePack serializer implementation for Java / msgpack.org[Java]
pom - PEG parser combinators using operator overloading without macros.
json - Strongly typed JSON library for Rust
combine - A parser combinator library for Rust