fastjson
GJSON
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fastjson
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What's the best way to unmarshall this nested JSON?
I’ve used fastjson when unmarshalling to Structs is inconvenient. https://github.com/valyala/fastjson
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Object-oriented JSON in Go
Interesting approach, even though reflection support is supposed to be landing soon, this would be really really useful when using TinyGo. (Fro example, writing web backend serverless functions with Fermyon’s Spin framework for WASM that needs to return JSON). Do you have any benchmarks on how it performs vs stdlib’s encoding/json and/or something like fastjson?
- Best approach for a monolithic web app?
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High-performance JSON parsing in Go
It relies heavily on bytes.IndexOf for which Go provides SIMD optimizations transparently. However, it has some correctness issues when parsing malformed json that might need to be addressed. Generally it is recommended to be used with trusted json documents for internal services and may require further testing before being used to parse arbitrary json documents.
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3 Ways I Keep My Rest APIs endpoints down to 4-6 lines and eliminate boilerplate. What are yours?
Try fastjson library. It allows you to grab deeply nested json objects without marshalling the entire json.
- Any way to convert unknown/dynamic json to generic object structure
- json.Decoder, ways to skip first tokens.
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Golang, GraphQL y Postgress
Como herramientas te recomiendo: FastJson https://github.com/valyala/fastjson : Si necesitas leer jsons Testify https://github.com/stretchr/testify : Para mockear y testear
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Ad hoc JSON parsing
In Go if I need to extract just a few fields from a large JSON document it's hard to beat https://github.com/valyala/fastjson
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TinyGo Reflection?
Another option is to use what I like to call "Lazy" decoders, like https://github.com/valyala/fastjson which will work with TinyGo, but doesn't have the same type of API as the standard lib (or alternatives) in terms of Marshaling and Unmarshalling. Instead you "Parse" a JSON object, and use Getters to access the types you want.
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
What are some alternatives?
easyjson - Fast JSON serializer for golang.
jsoniter - A high-performance 100% compatible drop-in replacement of "encoding/json"
sonic - A blazingly fast JSON serializing & deserializing library
go-json - Fast JSON encoder/decoder compatible with encoding/json for Go
jsonparser - One of the fastest alternative JSON parser for Go that does not require schema
intrinsic
mapslice-json - Go MapSlice for ordered marshal/ unmarshal of maps in JSON
gojson - Automatically generate Go (golang) struct definitions from example JSON
jsonic - All you need with JSON
hub - A command-line tool that makes git easier to use with GitHub.
go-parameters - :blue_book: Easily parse incoming parameters and values from an HTTP request
ngrok - Unified ingress for developers