nativejson-benchmark VS daw_json_link

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.

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

Glancing at some benchmarks, RapidJSON stringifies at around 250MB/s on a single core (content-dependent, of course). Does not look like a bottleneck.

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

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

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.

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

JSON data files from this project: https://github.com/miloyip/nativejson-benchmark

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?

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.

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.

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

You can also look into https://github.com/beached/daw_json_link which claims to support nullable values in the readme.

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.

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.

Is this the repo? Never saw it linked in our convo, and I’d like to give it a whirl.

daw_json_link is what you're looking for : https://github.com/beached/daw_json_link

Check out https://github.com/beached/daw_json_link , it provides a non-typeerased way to parse JSON straight into user-defined data structures.