easyjson
jsoniter
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easyjson | jsoniter | |
---|---|---|
10 | 12 | |
4,348 | 13,076 | |
1.2% | 1.0% | |
2.3 | 0.0 | |
7 days ago | 26 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.
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.
jsoniter
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Handling high-traffic HTTP requests with JSON payloads
Since most of the time would be spent decoding json, you could try to cut this time using https://github.com/bytedance/sonic or https://github.com/json-iterator/go, both are drop-in replacements for the stdlib, sonic is faster.
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A Journey building a fast JSON parser and full JSONPath
We all know the builtin golang JSON parser is slow.
How about doing comparisons against other implementations?
Like this one: https://github.com/json-iterator/go
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Polygon: Json Database System designed to run on small servers (as low as 16MB) and still be fast and flexible.
Json-iterator (https://github.com/json-iterator/go), you can replace all of encoding/json with this. It does the same thing but it's faster.
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How can we umarshal a Big JSON effectively?
Do you want to look at every field all at the same time? If not, you can pick out individual fields. There's other packages such as https://github.com/tidwall/gjson or https://github.com/json-iterator/go that let you pass in paths such as "a.b.c" to extract single fields.
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Designing a config API for microservices applications built using Go
For each Go type used within the config, we generate a separate unmarshaller function. The unmarshallers use json-iterator to process the output from CUE, while tracking the path within the config to the unmarshalled value. This path tracking will allow the function to check if live overrides have been provided on that path and return the override instead.
- jsoniter+1.18: panic in reflect2
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What type of software do you write at your workplace?
https://github.com/json-iterator/go an alternative JSON encoding package which allows to stream (flush out) encoded data as soon as it's able to (which is in contrast with the stock package which buffers everything until the encoding is known to be complete and OK).
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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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What are your favorite packages to use?
jsoniter for low level access to JSON encode and decode
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What is the best solution to unique data in golang
Takes like 10 minutes to write and parses very efficiently. https://github.com/json-iterator/go looks like it can provide such simple parsing
What are some alternatives?
fastjson - Fast JSON parser and validator for Go. No custom structs, no code generation, no reflection
go-json - Fast JSON encoder/decoder compatible with encoding/json for Go
mapstructure - Go library for decoding generic map values into native Go structures and vice versa.
gogoprotobuf - [Deprecated] Protocol Buffers for Go with Gadgets
goprotobuf - Go support for Google's protocol buffers
simdjson-go - Golang port of simdjson: parsing gigabytes of JSON per second
GJSON - Get JSON values quickly - JSON parser for Go
TinyGo - Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM.
compare-go-json - A comparison of several go JSON packages.
go-warning-codegeneration
go-codec - idiomatic codec and rpc lib for msgpack, cbor, json, etc. msgpack.org[Go]