simdjson
sonic
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simdjson | sonic | |
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63 | 22 | |
18,337 | 6,257 | |
1.1% | 2.8% | |
9.2 | 8.1 | |
10 days ago | 7 days ago | |
C++ | Assembly | |
Apache License 2.0 | Apache License 2.0 |
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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.
simdjson
- 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?
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Any fresh jvm21 benchmarks ?
I expect a lot of transcoders will be rewritten when the Vector instructions land. You can see speedups when used in other languages, such as simdjson. Please try to be more thoughtful and not disregard other people's hard work so easily.
sonic
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Handling high-traffic HTTP requests with JSON payloads
Since most of the time would be spent decoding json, you could try to cut this time using https://github.com/bytedance/sonic or https://github.com/json-iterator/go, both are drop-in replacements for the stdlib, sonic is faster.
- Building a Streaming Platform in Go for Postgres
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Building a high performance JSON parser
Also worth looking at https://github.com/bytedance/sonic
- Sonic: A fast JSON serializing and deserializing library in Go
- sonic/INTRODUCTION.md at main · bytedance/sonic
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High-performance JSON parsing in Go
The article inside does not mention this.
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Toward the Fastest, Compatible JSON Decoder – Sonnet
Good morning.I hope this is not the wrong place to post… so let me introduce my first public Golang package. This is a JSON decoder called Sonnet ( https://github.com/sugawarayuuta/sonnet ) that has given faster results (at least in my environment) than Sonic - https://github.com/bytedance/sonic (which is said that it's the fastest) without the help of assembly!
JSON is a very well-known file format. It is used by everyone who does programming. However, it is also not uncommon to find problems with encoding/json and other third-party libraries. for more… (see https://github.com/sugawarayuuta/sonnet#problems-we-had )
I decided to create a new, standard library-compatible decoder that would be both easy to use and fast.
Thanks for reading, feel free to use, help, or ask questions, I look forward to hearing from you. All benchmarks and other information can be found in the link at the top.
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Toward the Fastest, Compatible JSON Decoder - Sonnet
Good morning. Let me introduce my first public Go package. This is a JSON decoder called Sonnet ( https://github.com/sugawarayuuta/sonnet ) that has given faster results (at least in my environment) than Sonic (which is said that it's the fastest) without the help of assembly!
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Looking back on framework benchmark (updates = db writes) what can make Go improved back to be top 10?
I'd say the https://github.com/bytedance/sonic has the fastest encoder due to C and assembly optimization. (Use at your own risk.)
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HaxMap, a concurrent hashmap faster and more memory-efficient than golang's sync.Map
Also see sonic for some nice performance tricks github.com/bytedance/sonic
What are some alternatives?
RapidJSON - A fast JSON parser/generator for C++ with both SAX/DOM style API
jsoniter - Using encoding/json to load parts of a large json document
jsoniter - jsoniter (json-iterator) is fast and flexible JSON parser available in Java and Go
fastjson - Fast JSON parser and validator for Go. No custom structs, no code generation, no reflection
json - JSON for Modern C++
encoding - Go package containing implementations of efficient encoding, decoding, and validation APIs.
json-schema-validator - JSON schema validator for JSON for Modern C++
simdjson-go - Golang port of simdjson: parsing gigabytes of JSON per second
JsonCpp - A C++ library for interacting with JSON.
json-iterator - Low level iterator on the records inside large JSON file.
json - A C++11 library for parsing and serializing JSON to and from a DOM container in memory.
hashmap - A Golang lock-free thread-safe HashMap optimized for fastest read access.