github.com/PerimeterX/marshmallow

Marshmallow

Marshmallow package provides a simple API to perform flexible and performant JSON unmarshalling in Go.

Marshmallow specializes in dealing with unstructured struct - when some fields are known and some aren't, with zero performance overhead nor extra coding needed. While unmarshalling, marshmallow allows fully retaining the original data and access it via a typed struct and a dynamic map.

Contents

• Install
• Usage
• Performance Benchmark And Alternatives
• When Should I Use Marshmallow
• API

Install

go get -u github.com/perimeterx/marshmallow

Usage

package main

import (
	"fmt"
	"github.com/perimeterx/marshmallow"
)

func main() {
	marshmallow.EnableCache() // this is used to boost performance, read more below
	v := struct {
		Foo string `json:"foo"`
		Boo []int  `json:"boo"`
	}{}
	result, err := marshmallow.Unmarshal([]byte(`{"foo":"bar","boo":[1,2,3],"goo":12.6}`), &v)
	fmt.Printf("v=%+v, result=%+v, err=%v", v, result, err)
	// Output: v={Foo:bar Boo:[1 2 3]}, result=map[boo:[1 2 3] foo:bar goo:12.6], err=<nil>
}

Performance Benchmark And Alternatives

Marshmallow performs best when dealing with mixed data - when some fields are known and some are unknown. More info below. Other solutions are available for this kind of use case, each solution is explained and documented in the link below. The full benchmark test can be found here.

Benchmark	Iterations	Time/Iteration	Bytes Allocated	Allocations
unmarshall twice	228693	5164 ns/op	1640 B/op	51 allocs/op
raw map	232236	5116 ns/op	2296 B/op	53 allocs/op
go codec	388442	3077 ns/op	2512 B/op	37 allocs/op
marshmallow	626168	1853 ns/op	608 B/op	18 allocs/op
marshmallow without populating struct	678616	1751 ns/op	608 B/op	18 allocs/op

Marshmallow provides the best performance (up to X3 faster) while not requiring any extra coding. In fact, marshmallow performs as fast as normal json.Unmarshal call, however, such a call causes loss of data for all the fields that did not match the given struct. With marshmallow you never lose any data.

Benchmark	Iterations	Time/Iteration	Bytes Allocated	Allocations
marshmallow	626168	1853 ns/op	608 B/op	18 allocs/op
native library	652106	1845 ns/op	304 B/op	11 allocs/op
marshmallow without populating struct	678616	1751 ns/op	608 B/op	18 allocs/op

When Should I Use Marshmallow

Marshmallow is best suited for use cases where you are interested in all the input data, but you have predetermined information only about a subset of it. For instance, if you plan to reference two specific fields from the data, then iterate all the data and apply some generic logic. How does it look with the native library:

func isAllowedToDrive(data []byte) (bool, error) {
	result := make(map[string]interface{})
	err := json.Unmarshal(data, &result)
	if err != nil {
		return false, err
	}

	age, ok := result["age"]
	if !ok {
		return false, nil
	}
	a, ok := age.(float64)
	if !ok {
		return false, nil
	}
	if a < 17 {
		return false, nil
	}

	hasDriversLicense, ok := result["has_drivers_license"]
	if !ok {
		return false, nil
	}
	h, ok := hasDriversLicense.(bool)
	if !ok {
		return false, nil
	}
	if !h {
		return false, nil
	}

	for key := range result {
		if strings.Contains(key, "prior_conviction") {
			return false, nil
		}
	}

	return true, nil
}

And with marshmallow:

func isAllowedToDrive(data []byte) (bool, error) {
	v := struct {
		Age               int  `json:"age"`
		HasDriversLicense bool `json:"has_drivers_license"`
	}{}
	result, err := marshmallow.Unmarshal(data, &v)
	if err != nil {
		return false, err
	}

	if v.Age < 17 || !v.HasDriversLicense {
		return false, nil
	}

	for key := range result {
		if strings.Contains(key, "prior_conviction") {
			return false, nil
		}
	}

	return true, nil
}

API

Marshmallow exposes two main API functions - Unmarshal and UnmarshalFromJSONMap. While unmarshalling, marshmallow supports the following optional options:

• Setting the mode for handling invalid data using the WithMode function.
• Excluding known fields from the result map using the WithExcludeKnownFieldsFromMap function.
• Skipping struct population to boost performance using the WithSkipPopulateStruct function.

In order to capture unknown nested fields, structs must implement JSONDataHandler. More info here.

Marshmallow also supports caching of refection information using EnableCache and EnableCustomCache.

Examples can be found here

Marshmallow Logo

Marshmallow logo and assets by Adva Rom are licensed under a Creative Commons Attribution 4.0 International License.

Contribute

Any type of contribution is warmly welcome and appreciated ❤️