GJSON
go-json
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GJSON
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Rob Pike: Gobs of data (2011)
Someone made a benchmark of serialization libraries in go [1], and I was surprised to see gobs is one of the slowest ones, specially for decoding. I suspect part of the reason is that the API doesn't not allow reusing decoders [2]. From my explorations it seems like both JSON [3], message-pack [4] and CBOR [5] are better alternatives.
By the way, in Go there are a like a million JSON encoders because a lot of things in the std library are not really coded for maximum performance but more for easy of usage, it seems. Perhaps this is the right balance for certain things (ex: the http library, see [6]).
There are also a bunch of libraries that allow you to modify a JSON file "in place", without having to fully deserialize into structs (ex: GJSON/SJSON [7] [8]). This sounds very convenient and more efficient that fully de/serializing if we just need to change the data a little.
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1: https://github.com/alecthomas/go_serialization_benchmarks
2: https://github.com/golang/go/issues/29766#issuecomment-45492...
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3: https://github.com/goccy/go-json
4: https://github.com/vmihailenco/msgpack
5: https://github.com/fxamacker/cbor
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6: https://github.com/valyala/fasthttp#faq
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7: https://github.com/tidwall/gjson
8: https://github.com/tidwall/sjson
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Jj: JSON Stream Editor
```
I don't think there is a way to sort an array, though. However, there is an option to have keys sorted. Personally, I don't think there is much annoyance in that. One could just pipe `jj` output to `sort | uniq -c`.
[0]: https://github.com/tidwall/gjson/blob/master/SYNTAX.md
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Library to analyze an arbitrary JSON string
I’m using GJSON, so far so good!
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Mapping json fields in api calls to a struct to store them in a database or cache
If the fields you need are just a small subset of the whole json, maybe https://github.com/tidwall/gjson might be of use to read only those (using jsonpath) without needing to create complete corresponding structs.
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Which CPU to buy based on profiling
Thank you for the reminder, it's never too much of it :) Didn't say it, but the code was pprof-iled many times and i can really say it's well optimized. I use own libraries with on-the-fly equations (sums, avgs, emas, stds, ...) wherever possible and also made custom json parser as json messages are in fixed format, so the parser is about 10x faster than gjson. I optimized it to the point that I avoided using maps, and rather iterate via slice where ever possible.
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Jetro - transform and query JSON format
You are right, for learning purposes this fit my needs, but I can imagine an approach similar to this repo: https://github.com/tidwall/gjson
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Any way to convert unknown/dynamic json to generic object structure
https://github.com/tidwall/gjson is a relatively sensible library if this is something you need to deal with and the structure is actually unknowable.
- Need help with getting the grandchild in nested JSON
- Double down on python or learn Go
- Ad hoc JSON parsing
go-json
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API: Go, .NET, Rust
For go -> you can actually get away with the standard json encoding package. Or if you want a slightly better one, I prefer goccy/go-json
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Rob Pike: Gobs of data (2011)
Someone made a benchmark of serialization libraries in go [1], and I was surprised to see gobs is one of the slowest ones, specially for decoding. I suspect part of the reason is that the API doesn't not allow reusing decoders [2]. From my explorations it seems like both JSON [3], message-pack [4] and CBOR [5] are better alternatives.
By the way, in Go there are a like a million JSON encoders because a lot of things in the std library are not really coded for maximum performance but more for easy of usage, it seems. Perhaps this is the right balance for certain things (ex: the http library, see [6]).
There are also a bunch of libraries that allow you to modify a JSON file "in place", without having to fully deserialize into structs (ex: GJSON/SJSON [7] [8]). This sounds very convenient and more efficient that fully de/serializing if we just need to change the data a little.
--
1: https://github.com/alecthomas/go_serialization_benchmarks
2: https://github.com/golang/go/issues/29766#issuecomment-45492...
--
3: https://github.com/goccy/go-json
4: https://github.com/vmihailenco/msgpack
5: https://github.com/fxamacker/cbor
--
6: https://github.com/valyala/fasthttp#faq
--
7: https://github.com/tidwall/gjson
8: https://github.com/tidwall/sjson
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Data storage speed comparisons?
Drop-in replacement for the stdlib JSON package: https://github.com/goccy/go-json
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Go is 2-3 times slower than JS in a similar code. What makes Go slow in this specific code?
go stdlib json encoding/decoding is incredibly slow, not sure for how much longer because there are drop in replacements now that I think are just as strict and feature parity.
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Go with Chi has more ram consumption and less req/s than Koa or Fastify
3rd party JSON libraries could help if you were comparing JSON. https://github.com/goccy/go-json
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ogen: spec-first OpenAPI v3 codegen for Go
However, I understand the code that is generated is super optimized. For example, rather than use a router, it does a static code generated router. Rather than use goccy/go-json, it does manual marshalling.
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japi is a JSON HTTP API go library with generics
Minimal dependencies: julienschmidt/httprouter and goccy/go-json
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Using a json lib other than encoding/json
I suggested using https://github.com/goccy/go-json at my work, since its a drop in replacement for the standard lib, but there are people who apprehensive. In my opinion the performance gains are significant to justify adoption. But I'd like your input.
- Whats the fastest JSON unmarshaling package as of right now?
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What are your favorite packages to use?
go-json for encoding/decoding
What are some alternatives?
jsoniter - A high-performance 100% compatible drop-in replacement of "encoding/json"
intrinsic
easyjson - Fast JSON serializer for golang.
gojson - Automatically generate Go (golang) struct definitions from example JSON
go-fuzz - Randomized testing for Go
hub - A command-line tool that makes git easier to use with GitHub.
Gin - Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin.
ngrok - Unified ingress for developers
zap - Blazing fast, structured, leveled logging in Go.
fzf - :cherry_blossom: A command-line fuzzy finder
Testify - A toolkit with common assertions and mocks that plays nicely with the standard library