nativejson-benchmark
frozen
nativejson-benchmark | frozen | |
---|---|---|
10 | 10 | |
1,926 | 1,210 | |
- | - | |
0.0 | 6.1 | |
over 1 year ago | about 2 months ago | |
JavaScript | C++ | |
MIT License | Apache License 2.0 |
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nativejson-benchmark
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Training great LLMs from ground zero in the wilderness as a startup
Well it would depend on the specifics of the JSON file but eyeballing the stats at https://github.com/miloyip/nativejson-benchmark/tree/master seems to indicate that even on a 2015 MacBook the parsing proceeds using e.g. Configuru parser at several megabytes per second.
- What C++ library do you wish existed but hasn’t been created yet?
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How can I quickly parse a huge 45MB JSON file using JsonDecoder
Maybe you need to try some other third party json library and see if it helps. This is a good list https://github.com/miloyip/nativejson-benchmark
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Why is Mastodon so slow?
Glancing at some benchmarks, RapidJSON stringifies at around 250MB/s on a single core (content-dependent, of course). Does not look like a bottleneck.
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Show HN: DAW JSON Link
How does it compare to the immensely popular JSON for Modern C++ library by nlohmann? https://github.com/nlohmann/json
Also, you should add your library to the JSON benchmarks here: https://github.com/miloyip/nativejson-benchmark#parsing-time
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Debunking Cloudflare’s recent performance tests
I like your ideas, but they seem difficult to enforce. It assumes good faith on all sides. One of the biggest complaints about AI/ML research results: It is frequently hard/impossible to replicate the results.
One idea: The edge competitors can create a public (SourceHut?) project that runs various daily tests against themselves. This would similar to JSON library benchmarks. [1] Then allow each competitors to continuously tweak there settings to accomplish the task in the shortest amount of time.
Also: It would be nice to see a cost analysis. For years, IBM's DB2 was insanely fast if you could afford to pay outrageous hardware, software license, and consulting costs. I'm not in the edge business, but I guess there are some operators where you can just pay a lot more and get better performance -- if you really need it.
[1] https://github.com/miloyip/nativejson-benchmark
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How can I parse JSON with C?
There's some useful benchmarks here. I found it while looking for stats on json-c vs parson, which I've used a fair amount.
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UniValue JSON Library for C++17 (and above)
If you looking for benchmarks to show in which cases your library is better than other 30 or so competitors, then see this repo https://github.com/miloyip/nativejson-benchmark
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Rocket is a parsing framework for parsing using efficient parsing algorithms
JSON data files from this project: https://github.com/miloyip/nativejson-benchmark
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How I cut GTA Online loading times by 70%
Such a shame, really. There is a ton fast json parsers there, like https://github.com/miloyip/nativejson-benchmark#parsing-time. And second issue is just hilarious: let's scan array millions of times, who needs hashmaps anyway?
frozen
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Making a "constant mapping"
I found this extension that implements "frozen" versions of some C++ containers, but I was wondering if there is a good solution available in the standard library.
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Static map - is it possible?
A library exists that can produce constexpr hash table based containers.
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What C++ library do you wish existed but hasn’t been created yet?
I use the Frozen library for that. Since the conversions should be known at compile time you can make constexpr hash tables for lookups.
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Command-line util for class implementation (My first try at a professional c++ application)
The constexpr dependency of note here is frozen.
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Ambition is cute.
In C++, a drop-in replacement for your DSA can provide significant improvements over the standard library. Particularly the standard unordered_map class can be improved by 50% to 100% (e.g. https://github.com/greg7mdp/parallel-hashmap, or for static maps https://github.com/serge-sans-paille/frozen). Of course, recognize that creating a DS/A from scratch is an entire project, and you shouldn't roll your own for an independent codebase.
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[Hobby] Bomberman fan 2D Animator needed
Technologies (for curious folks): C++17, SFML, Entt, Frozen, Protobuf, spdlog, GoogleTest, GoogleBenchmark, CMake and Dear ImGui for debug purpose.
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May 2021 monthly "What are you working on?" thread
In the language, I added anonymous array literals. I did some cleanup in the compiler and updated to LLVM 12 from 10 (which was pretty trivial, surprisingly). I also added frozen, a C++ perfect-hashing library, as a dependency to speed up the lookup of keywords in my lexer. The library exploits C++’s constexpr features to generate a perfect hash at compile-time without any separate build step, which is great, and it also provides a drop-in replacement for std::unordered_map that uses the hash.
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MSVC Backend Updates in Visual Studio 2019 version 16.10 Preview 2 | C++ Team Blog
This is where I plug Frozen :-] https://github.com/serge-sans-paille/frozen
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What (relatively) easily to implement features would you like to see in c++23.
I’ve no idea how hard it is to implement, but return type polymorphism would be nice. Especially returning different things based on the constexpress of the result. And then add Frozen eqivalents of associative containers to the STL, so that, for example constexpr auto set = std::make_set(...) would be frozen::set, and auto set = std::make_set(...) would be std::set.
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Compile-time INI config parsing and accessing with C++20
In which case, I believe the answer your question would be yes: the frozen map.
What are some alternatives?
json-c - https://github.com/json-c/json-c is the official code repository for json-c. See the wiki for release tarballs for download. API docs at http://json-c.github.io/json-c/
gram_grep - Search text using a grammar, lexer, or straight regex. Chain searches for greater refinement.
Jansson - C library for encoding, decoding and manipulating JSON data
parallel-hashmap - A family of header-only, very fast and memory-friendly hashmap and btree containers.
EA Standard Template Library - EASTL stands for Electronic Arts Standard Template Library. It is an extensive and robust implementation that has an emphasis on high performance.
STL - MSVC's implementation of the C++ Standard Library.
univalue - An easy-to-use and competitively fast JSON parsing library for C++17, forked from Bitcoin Cash Node's own UniValue library.
bluebird - A work-in-progess programming language modeled after Ada and C++
text - What a c++ standard Unicode library might look like.
mpv - 🎥 Command line video player
simdjson - Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks
c3c - Compiler for the C3 language