easyjson VS compress

Compile time means you catch issues at... well compile time. It also means that the code is optimized. You can look at the performance different between encoding/json and easyjson for why you may desire that.

easyjson produced an empty file

There is https://github.com/mailru/easyjson out there if you are absolutely sure that serialization is the bottleneck. Otherwise I'd go for stdlib.

https://github.com/mailru/easyjson fast JSON (de)serializer which go generates code instead of using reflect at runtime.

If you know the schema of the JSON ahead of time and you need to parse the whole object, I would recommend https://github.com/mailru/easyjson as that will likely give you the fastest result. This works in almost all use cases, and easy to use features such as string interning can save you a lot of time on memory allocation if you parse a lot of JSON objects with identical values.

What to use Easyjson is about the top of the pack and it's straightforward. The downside of efficient tools is that they use code generation to create the code required to turn your structs into json to minimise allocations. This is a manual build step which is annoying. Interestingly json-iterator also uses reflection but it's significantly faster. I suspect black magic.

I'm looking for something similar to https://github.com/mailru/easyjson where one can generate a concrete JSON parser for some types.

Бібліотека easyjson теж для серіалізації працює через додатковий код замість використання рефлексії. Але після внесення в easyjson одної з оптимізацій, час від часу почали отримувати зламаний JSON, ось приклад тесту який покаже помилку.

There's a pure-go zstd at https://github.com/klauspost/compress - it's likely faster than running the upstream zstd under Wazero.

It's no surprise that "fast" Go libraries are actually just assembly: https://github.com/klauspost/compress/blob/master/zstd/seqdec_amd64.s (just one file out of several, for just one architecture, for just one compression algorithm!)

There is a reasonably feature complete implementation of Zstd for Go: https://github.com/klauspost/compress/tree/master/zstd

It may not offer the same API 1:1, but it has no interoperability issues that I've encountered. So, I just think no one has bothered to implement it in Rust because most use cases don't mind the added bloat you're talking about. Plus, other comments I've seen suggest that you can actually tune the size of the zstd library, although I'm not sure if the Rust bindings expose that.

Thanks again for your review/comment!!! Btw, are you the author of this repo https://github.com/klauspost/compress because I love it!!!

I noticed Github returns "This page is taking too long to load" with status code 502 for https://github.com/klauspost/compress but rest of their urls works fine. Anyone know why would that be the case ?

Cloning the repo works perfectly well.

git clone https://github.com/klauspost/compress

Recent versions of zstd definitely don't obsolete LZ4, or else I don't think the author would still be contributing to both...

And if you're going to play with Snappy, you might find S2, which was linked on HN relatively recently, interesting. [1]

[1] - https://github.com/klauspost/compress/tree/master/s2

Compression method appears to be zstandard and uses https://github.com/klauspost/compress, for those wondering like I was.

OMG u/klauspost is this you? https://github.com/klauspost/compress/tree/master/s2