msgp
easyjson
msgp | easyjson | |
---|---|---|
6 | 10 | |
1,751 | 4,350 | |
0.6% | 0.7% | |
5.4 | 2.3 | |
5 days ago | 6 days ago | |
Go | Go | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
msgp
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What is the fastest way to encode the arbitrary struct into bytes?
For a similar case at MinIO we use messagepack - with tinylib/msgp.
- TinyGo Reflection?
- 80x improvements in caching by moving from JSON to gob
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Are We Wasm Yet - Part 1
You might enjoy https://github.com/tinylib/msgp -- it's all code generation, tiny, and fast.
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Best examples of a Go client
Feel free to compare the Go protobuf lib performance to https://github.com/tinylib/msgp -- the formats are similar enough, especially if you consider that protobuf is essentially a map[uint64]something container.
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?
hackpad - The in-browser IDE for Go
fastjson - Fast JSON parser and validator for Go. No custom structs, no code generation, no reflection
decimal - Arbitrary-precision fixed-point decimal numbers in Go
jsoniter - A high-performance 100% compatible drop-in replacement of "encoding/json"
tinygo - make json.Unmarshal work in tinygo
go-json - Fast JSON encoder/decoder compatible with encoding/json for Go
gomuks - A terminal based Matrix client written in Go.
gogoprotobuf - [Deprecated] Protocol Buffers for Go with Gadgets
kubectl - Issue tracker and mirror of kubectl code
simdjson-go - Golang port of simdjson: parsing gigabytes of JSON per second
encoding - Go package containing implementations of efficient encoding, decoding, and validation APIs.
TinyGo - Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM.