simdjson
daw_json_link
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simdjson | daw_json_link | |
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65 | 21 | |
18,362 | 424 | |
1.2% | - | |
9.2 | 8.6 | |
17 days ago | 8 days ago | |
C++ | C++ | |
Apache License 2.0 | Boost Software License 1.0 |
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simdjson
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Tips on adding JSON output to your command line utility. (2021)
It's also supported by simdjson [0] (which has a lot of language bindings [1]):
> Multithreaded processing of gigantic Newline-Delimited JSON (ndjson) and related formats at 3.5 GB/s
[0] https://simdjson.org/
[0] https://github.com/simdjson/simdjson?tab=readme-ov-file#bind...
- 1BRC Merykitty's Magic SWAR: 8 Lines of Code Explained in 3k Words
- Training great LLMs from ground zero in the wilderness as a startup
- simdjson: Parsing Gigabytes of JSON per Second
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Use any web browser as GUI, with Zig in the back end and HTML5 in the front end
String parsing is negligible compared to the speed of the DOM which is glacially slow: https://news.ycombinator.com/item?id=38835920
Come on, people, make an effort to learn how insanely fast computers are, and how insanely inefficient our software is.
String parsing can be done at gigabytes per second: https://github.com/simdjson/simdjson If you think that is the slowest operation in the browser, please find some resources that talk about what is actually happening in the browser?
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Cray-1 performance vs. modern CPUs
Thanks for all the detailed information! That answers a bunch of my questions and the implementation of strlen is nice.
The instruction I was thinking of is pshufb. An example ‘weird’ use can be found for detecting white space in simdjson: https://github.com/simdjson/simdjson/blob/24b44309fb52c3e2c5...
This works as follows:
1. Observe that each ascii whitespace character ends with a different nibble.
2. Make some vector of 16 bytes which has the white space character whose final nibble is the index of the byte, or some other character with a different final nibble from the byte (eg first element is space =0x20, next could be eg 0xff but not 0xf1 as that ends in the same nibble as index)
3. For each block where you want to find white space, compute pcmpeqb(pshufb(whitespace, input), input). The rules of pshufb mean (a) non-ascii (ie bit 7 set) characters go to 0 so will compare false, (b) other characters are replaced with an element of whitespace according to their last nibble so will compare equal only if they are that whitespace character.
I’m not sure how easy it would be to do such tricks with vgather.vv. In particular, the length of the input doesn’t matter (could be longer) but the length of white space must be 16 bytes. I’m not sure how the whole vlen stuff interacts with tricks like this where you (a) require certain fixed lengths and (b) may have different lengths for tables and input vectors. (and indeed there might just be better ways, eg you could imagine an operation with a 256-bit register where you permute some vector of bytes by sign-extending the nth bit of the 256-bit register into the result where the input byte is n).
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Codebases to read
Additionally, if you like low level stuff, check out libfmt (https://github.com/fmtlib/fmt) - not a big project, not difficult to understand. Or something like simdjson (https://github.com/simdjson/simdjson).
- Simdjson: Parsing Gigabytes of JSON per Second
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Building a high performance JSON parser
Everything you said is totally reasonable. I'm a big fan of napkin math and theoretical upper bounds on performance.
simdjson (https://github.com/simdjson/simdjson) claims to fully parse JSON on the order of 3 GB/sec. Which is faster than OP's Go whitespace parsing! These tests are running on different hardware so it's not apples-to-apples.
The phrase "cannot go faster than this" is just begging for a "well ackshully". Which I hate to do. But the fact that there is an existence proof of Problem A running faster in C++ SIMD than OP's Probably B scalar Go is quite interesting and worth calling out imho. But I admit it doesn't change the rest of the post.
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New package : lspce - a simple LSP Client for Emacs
I have same question as /u/JDRiverRun : how do you deal with JSON, do you parse json on Rust side or on Emacs side. I see that you are requiring json.el in your lspce.el, but I haven't looked through entire file carefully. If you parse on Rust side, do you use simdjson (there are at least two Rust bindings to it)? If yes, what are your impressions, experiences compared to more "standard" json library?
daw_json_link
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Has Boost lost its charm?
They might have good luck with https://github.com/beached/daw_json_link it has support for stuff like JSON lines and alike plus other ways that only use as much ram as their underlying data structures do as it parses directly to the user DS. Plus it has an iterator/range interface for things like arrays if needed.
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New, fastest JSON library for C++20
We will add more benchmarks in the future, but for now you can see the comparison of daw_json_link with rapidjson. glaze is faster than daw_json_link, which is over twice as fast as rapidjson.
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What are some cool modern libraries you enjoy using?
I am biased, but prefer https://github.com/beached/daw_json_link Super fast and you work with your native data structures without the overhead of DOM parsing/lookup
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How to deserialise json into a C++ struct?
You can also look into https://github.com/beached/daw_json_link which claims to support nullable values in the readme.
- Show HN: DAW JSON Link
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JSON for Modern C++ 3.11.0
The library I author does this. https://github.com/beached/daw_json_link . It's fast, GB/s too, and provides the mapping mechanism, iteration types, json lines support, event based parser, along with a non-owning json_value for when the mappings don't fit right or if one is querying. Pretty much everything but an owning JSON value as it's not something I've ever needed more than temporarily and brings a lot of complexity that is solved by using the actual C++ data structures one is eventually parsing into anyways.
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DAW JSON Link v3, a JSON serialization/deserialization library, is released
So DAW JSON Link does have a DOM view, however it does not have a owning view. The json_value(even supports JSON Path in a limited form) type and json_raw mappings can help here. But there is no hard line between parsing view the json_value and the mappings to concrete data structures. One can mix and match.
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Parsing JSON faster with Intel AVX-512
Is this the repo? Never saw it linked in our convo, and I’d like to give it a whirl.
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Is there something like GSON available in C++?
daw_json_link is what you're looking for : https://github.com/beached/daw_json_link
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Deserializing JSON Fast
Check out https://github.com/beached/daw_json_link , it provides a non-typeerased way to parse JSON straight into user-defined data structures.
What are some alternatives?
RapidJSON - A fast JSON parser/generator for C++ with both SAX/DOM style API
json_struct - json_struct is a single header only C++ library for parsing JSON directly to C++ structs and vice versa
jsoniter - jsoniter (json-iterator) is fast and flexible JSON parser available in Java and Go
json - JSON for Modern C++
Magic Enum C++ - Static reflection for enums (to string, from string, iteration) for modern C++, work with any enum type without any macro or boilerplate code
json-schema-validator - JSON schema validator for JSON for Modern C++
JsonCpp - A C++ library for interacting with JSON.
Crow - A Fast and Easy to use microframework for the web.
json - A C++11 library for parsing and serializing JSON to and from a DOM container in memory.