fast-json-stringify
fast-json-stringify is two times faster than JSON.stringify()
.
It is particularly suited if you are sending small JSON payloads, the
advantages reduces on large payloads.
Benchmarks:
Node 6.11.2:
JSON.stringify array x 3,944 ops/sec ±1.13% (83 runs sampled)
fast-json-stringify array x 3,638 ops/sec ±2.56% (83 runs sampled)
fast-json-stringify-uglified array x 3,693 ops/sec ±1.75% (82 runs sampled)
JSON.stringify long string x 15,007 ops/sec ±1.13% (90 runs sampled)
fast-json-stringify long string x 14,480 ops/sec ±1.06% (87 runs sampled)
fast-json-stringify-uglified long string x 14,065 ops/sec ±1.22% (87 runs sampled)
JSON.stringify short string x 5,213,486 ops/sec ±1.35% (84 runs sampled)
fast-json-stringify short string x 12,314,153 ops/sec ±1.54% (83 runs sampled)
fast-json-stringify-uglified short string x 11,801,080 ops/sec ±6.65% (83 runs sampled)
JSON.stringify obj x 1,131,672 ops/sec ±16.67% (61 runs sampled)
fast-json-stringify obj x 3,500,095 ops/sec ±5.50% (80 runs sampled)
fast-json-stringify-uglified obj x 4,091,347 ops/sec ±1.33% (89 runs sampled)
Node 8.3.0:
JSON.stringify array x 4,025 ops/sec ±0.99% (90 runs sampled)
fast-json-stringify array x 6,463 ops/sec ±0.99% (90 runs sampled)
fast-json-stringify-uglified array x 6,314 ops/sec ±1.15% (92 runs sampled)
JSON.stringify long string x 14,648 ops/sec ±1.64% (88 runs sampled)
fast-json-stringify long string x 14,822 ops/sec ±1.09% (88 runs sampled)
fast-json-stringify-uglified long string x 14,963 ops/sec ±0.86% (89 runs sampled)
JSON.stringify short string x 4,724,477 ops/sec ±1.03% (89 runs sampled)
fast-json-stringify short string x 12,484,378 ops/sec ±0.92% (88 runs sampled)
fast-json-stringify-uglified short string x 12,218,181 ops/sec ±1.24% (90 runs sampled)
JSON.stringify obj x 1,898,648 ops/sec ±2.15% (85 runs sampled)
fast-json-stringify obj x 5,714,557 ops/sec ±1.45% (90 runs sampled)
fast-json-stringify-uglified obj x 5,902,021 ops/sec ±1.06% (91 runs sampled)
Table of contents:
Example
const fastJson = require('fast-json-stringify')
const stringify = fastJson({
title: 'Example Schema',
type: 'object',
properties: {
firstName: {
type: 'string'
},
lastName: {
type: 'string'
},
age: {
description: 'Age in years',
type: 'integer'
},
reg: {
type: 'string'
}
}
})
console.log(stringify({
firstName: 'Matteo',
lastName: 'Collina',
age: 32,
reg: /"([^"]|\\")*"/
}))
API
fastJsonStringify(schema)
Build a stringify()
function based on
jsonschema.
Supported types:
'string'
'integer'
'number'
'array'
'object'
'boolean'
'null'
And nested ones, too.
Specific use cases
Instance | Serialized as |
---|
Date | string via toISOString() |
RegExp | string |
Required
You can set specific fields of an object as required in your schema, by adding the field name inside the required
array in your schema.
Example:
const schema = {
title: 'Example Schema with required field',
type: 'object',
properties: {
nickname: {
type: 'string'
},
mail: {
type: 'string'
}
},
required: ['mail']
}
If the object to stringify has not the required field(s), fast-json-stringify
will throw an error.
Missing fields
If a field is present in the schema (and is not required) but it is not present in the object to stringify, fast-json-stringify
will not write it in the final string.
Example:
const stringify = fastJson({
title: 'Example Schema',
type: 'object',
properties: {
nickname: {
type: 'string'
},
mail: {
type: 'string'
}
}
})
const obj = {
mail: 'mail@example.com'
}
console.log(stringify(obj))
Pattern properties
fast-json-stringify
supports pattern properties as defined inside JSON schema.
patternProperties must be an object, where the key is a valid regex and the value is an object, declared in this way: { type: 'type' }
.
patternProperties will work only for the properties that are not explicitly listed in the properties object.
Example:
const stringify = fastJson({
title: 'Example Schema',
type: 'object',
properties: {
nickname: {
type: 'string'
}
},
patternProperties: {
'num': {
type: 'number'
},
'.*foo$': {
type: 'string'
}
}
})
const obj = {
nickname: 'nick',
matchfoo: 42,
otherfoo: 'str'
matchnum: 3
}
console.log(stringify(obj))
Additional properties
fast-json-stringify
supports additional properties as defined inside JSON schema.
additionalProperties must be an object or a boolean, declared in this way: { type: 'type' }
.
additionalProperties will work only for the properties that are not explicitly listed in the properties and patternProperties objects.
If additionalProperties is not present or is setted to false, every property that is not explicitly listed in the properties and patternProperties objects, will be ignored, as said in Missing fields.
If additionalProperties is setted to true, it will be used fast-safe-stringify
to stringify the additional properties. If you want to achieve maximum performances we strongly encourage you to use a fixed schema where possible.
Example:
const stringify = fastJson({
title: 'Example Schema',
type: 'object',
properties: {
nickname: {
type: 'string'
}
},
patternProperties: {
'num': {
type: 'number'
},
'.*foo$': {
type: 'string'
}
},
additionalProperties: {
type: 'string'
}
})
const obj = {
nickname: 'nick',
matchfoo: 42,
otherfoo: 'str'
matchnum: 3,
nomatchstr: 'valar morghulis',
nomatchint: 313
}
console.log(stringify(obj))
Reuse - $ref
If you want to reuse a definition of a value, you can use the property $ref
.
The value of $ref
must be a string in JSON Pointer format.
Example:
const schema = {
title: 'Example Schema',
definitions: {
num: {
type: 'object',
properties: {
int: {
type: 'integer'
}
}
},
str: {
type: 'string'
}
},
type: 'object',
properties: {
nickname: {
$ref: '#/definitions/str'
}
},
patternProperties: {
'num': {
$ref: '#/definitions/num'
}
},
additionalProperties: {
$ref: '#/definitions/def'
}
}
const stringify = fastJson(schema)
If you need to use an external definition, you can pass it as an option to fast-json-stringify
.
Example:
const schema = {
title: 'Example Schema',
type: 'object',
properties: {
nickname: {
$ref: 'strings#/definitions/str'
}
},
patternProperties: {
'num': {
$ref: 'numbers#/definitions/num'
}
},
additionalProperties: {
$ref: 'strings#/definitions/def'
}
}
const externalSchema = {
numbers: {
definitions: {
num: {
type: 'object',
properties: {
int: {
type: 'integer'
}
}
}
}
},
strings: require('./string-def.json')
}
const stringify = fastJson(schema, { schema: externalSchema })
Long integers
Long integers (64-bit) are supported using the long module.
Example:
const Long = require('long')
const stringify = fastJson({
title: 'Example Schema',
type: 'object',
properties: {
id: {
type: 'integer'
}
}
})
const obj = {
id: Long.fromString('18446744073709551615', true)
}
console.log(stringify(obj))
Uglify
If you want to squeeze a little bit more performance out of the serialisation, at the cost of readability in the generated code, you can pass uglify: true
as an option.
Note that you have to manually install uglify-es
in order for it to work. Only version 3 is supported.
Example:
Note that if you are using Node 8.3.0 or newer, there are no performance gains from using Uglify. See https://www.nearform.com/blog/node-js-is-getting-a-new-v8-with-turbofan/
const stringify = fastJson({
title: 'Example Schema',
type: 'object',
properties: {
id: {
type: 'integer'
}
}
}, { uglify: true })
console.log(stringify({ some: 'object' }))
Acknowledgements
This project was kindly sponsored by nearForm.
License
MIT