JSON Sugars

DOCS • Concepts

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💥 Model structure right within the language!

While you could stitch relevant SQL functions together to structure your output data, Linked QL supports special JSON-like syntaxes that abstract the rough work.

Syntax	Syntax	Equivalent Function (PostgreSQL)	Equivalent Function (MySQL)
Modelling objects	{ expr1, expr2 AS key, ... }	JSON_BUILD_OBJECT()	JSON_OBJECT()
Modelling arrays	[ expr1, expr2 ]	JSON_BUILD_ARRAY()	JSON_ARRAY()
Aggregating expressions	expr1[]	JSON_AGG()	JSON_ARRAYAGG()

Example 1:

// Model objects and arrays
const result = await client.query(
    `SELECT
        name,
        email,
        { email, phone AS mobile } AS format1,
        [ email, phone ] AS format2
    FROM users`
);
console.log(result);

Console

[
    {
        name: 'John Doe',
        email: 'johndoed@example.com',
        format1: {
            email: 'johndoed@example.com',
            mobile: '(555) 123-4567'
        },
        format2: [ 'johndoed@example.com', '(555) 123-4567' ]
    },
    {
        name: 'Alice Blue',
        email: 'aliceblue@example.com',
        format1: {
            email: 'aliceblue@example.com',
            mobile: '(888) 123-4567'
        },
        format2: [ 'aliceblue@example.com', '(888) 123-4567' ]
    }
]

Example 2:

// Aggregate a column
const result = await client.query(
    `SELECT
        email[] as emails
    FROM users`
);
console.log(result);

Console

[
    {
        emails: [
           'jd@example.com',
           'ab@example.com'
        ]
    }
]