gabs
easyjson
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gabs
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6 🔥 Awesome Golang packages (web devs)
GitHub repo: https://github.com/Jeffail/gabs
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Ask HN: What are some Golang tools you can't live without?
gabs [0]. It helps with dealing with dynamic JSONs with unknown structures.
[0]: https://github.com/Jeffail/gabs
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High-performance JSON parsing in Go
Nice article, I've often found gabs very useful for parsing structless/dynamic json
- Any way to convert unknown/dynamic json to generic object structure
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Polygon: Json Database System designed to run on small servers (as low as 16MB) and still be fast and flexible.
Gabs v2 (github.com/Jeffail/gabs/v2 ), this just makes working with interfaces more easier.
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Wasm difficulties in Rust, Haskell, and Go
gabs depends on reflect
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Is there a way to parse unstructured data?
This might be of interest: https://github.com/Jeffail/gabs
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Jumping execution of function
Hi there, I'm trying to develop a service that picks from a MariaDB database entries with two fields: id (int) and field2(json). I've managed to read the json field by using gabs and with the code arranged like this:
easyjson
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Google's Go may add telemetry reporting that's on by default
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.
- JSON encoder/decoder supporting omitempty on structs
- TinyGo Reflection?
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Wasm difficulties in Rust, Haskell, and Go
easyjson produced an empty file
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Using a json lib other than encoding/json
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.
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What type of software do you write at your workplace?
https://github.com/mailru/easyjson fast JSON (de)serializer which go generates code instead of using reflect at runtime.
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Whats the fastest JSON unmarshaling package as of right now?
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.
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Some Go(lang) tips
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.
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Is there a JSON parsing library that generates specialized code for types?
I'm looking for something similar to https://github.com/mailru/easyjson where one can generate a concrete JSON parser for some types.
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Обережно кодогенерація
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.
What are some alternatives?
wasi-sockets - WASI API proposal for managing sockets
fastjson - Fast JSON parser and validator for Go. No custom structs, no code generation, no reflection
PolygonDB - PolygonDB is an alternative to MongoDB that provides a developer-friendly experience and less resources hungry.
jsoniter - A high-performance 100% compatible drop-in replacement of "encoding/json"
GJSON - Get JSON values quickly - JSON parser for Go
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
gogoprotobuf - [Deprecated] Protocol Buffers for Go with Gadgets
go-codec - idiomatic codec and rpc lib for msgpack, cbor, json, etc. msgpack.org[Go]
simdjson-go - Golang port of simdjson: parsing gigabytes of JSON per second
json - A simple dynamic JSON parser.
TinyGo - Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM.