Lightweight SQL helper methods that simplify stuff (MySQL and PostgreSQL)
sqlutils (for MySQL) is powered by sqlstring, the same library that powers mysql2.
sqlutils (for PostgreSQL) is powered by pg-promise, one of the most popular PostgreSQL libraries for Node, with more than 3.1k stars and in active development.
The aim of this library is to offer standard helper methods that behave in similar ways for PostgreSQL and MySQL.
npm i sqlutils
PostgreSQL
const escape = require('sqlutils/pg/escape');
// or
const { escape } = require('sqlutils/pg');
// or
const escape = require('sqlutils/pg').escape;MySQL
const escape = require('sqlutils/mysql/escape');
// or
const { escape } = require('sqlutils/mysql');
// or
const escape = require('sqlutils/mysql').escape;PostgreSQL
const escape = require('sqlutils/pg/escape');
console.log(escape("let's do it")); //returns: 'let''s do it'MySQL
const escape = require('sqlutils/mysql/escape');
console.log(escape("let's do it")); //returns: 'let\'s do it'PostgreSQL
const format = require('sqlutils/pg/format');
console.log(format('INSERT INTO customers ?', { name: 'John Doe', balance: 0 })); //returns: INSERT INTO customers (name, balance) VALUES ('John Doe', 0)
console.log(format('UPDATE customers SET ? WHERE id = 1', { nick: 'Max', name: 'Maximus' })); //returns: UPDATE customers SET nick='Max', name='Maximus' WHERE id = 1
console.log(format('UPDATE customers SET ? WHERE id = 1', { '!visits': '(SELECT COUNT(*) FROM customer_visits WHERE customer_id = 1)' })); //returns: UPDATE customers SET visits=(SELECT COUNT(*) FROM customer_visits WHERE customer_id = 1) WHERE id = 1
console.log(format('INSERT INTO customers ?', [ { name: 'John Doe', balance: 0 }, { name: 'Joe', balance: 1 } ])); //returns: INSERT INTO customers (name, balance) VALUES ('John Doe', 0), ('Joe', 1)MySQL
const format = require('sqlutils/mysql/format');
console.log(format('INSERT INTO customers ?', { name: 'John Doe', balance: 0 })); //returns: INSERT INTO customers (name, balance) VALUES ('John Doe', 0)
console.log(format('UPDATE customers SET ? WHERE id = 1', { nick: 'Max', name: 'Maximus' })); //returns: UPDATE customers SET nick='Max', name='Maximus' WHERE id = 1
console.log(format('UPDATE customers SET ? WHERE id = 1', { '!visits': '(SELECT COUNT(*) FROM customer_visits WHERE customer_id = 1)' })); //returns: UPDATE customers SET visits=(SELECT COUNT(*) FROM customer_visits WHERE customer_id = 1) WHERE id = 1
console.log(format('INSERT INTO customers ?', [ { name: 'John Doe', balance: 0 }, { name: 'Joe', balance: 1 } ])); //returns: INSERT INTO customers (name, balance) VALUES ('John Doe', 0), ('Joe', 1)Some explanation about the third example: by using !visits instead of visits as the key, you tell the formatter not to escape the string value (raw mode). This way you can combine powerful SQL subqueries with the simplicity of sqlutils. I recommend reading that example carefully.
PostgreSQL
const buildWhereFromQuery = require('sqlutils/pg/buildWhereFromQuery');
console.log('SELECT * FROM customers' + buildWhereFromQuery({ id: 1 })); //returns: SELECT * FROM customers WHERE id=1
console.log('SELECT * FROM customers' + buildWhereFromQuery({ name: ['Maximus', 'John Doe'], balance: 0 })); //returns: SELECT * FROM customers WHERE (name='Maximus' OR name='John Doe') AND balance=0
console.log('SELECT * FROM customers' + buildWhereFromQuery([{ name: 'John Doe' }, { age: 41 }])); //returns: SELECT * FROM customers WHERE (name='John Doe') OR (age=41)MySQL
const buildWhereFromQuery = require('sqlutils/mysql/buildWhereFromQuery');
console.log('SELECT * FROM customers' + buildWhereFromQuery({ id: 1 })); //returns: SELECT * FROM customers WHERE id=1
console.log('SELECT * FROM customers' + buildWhereFromQuery({ name: ['Maximus', 'John Doe'], balance: 0 })); //returns: SELECT * FROM customers WHERE (name='Maximus' OR name='John Doe') AND balance=0
console.log('SELECT * FROM customers' + buildWhereFromQuery([{ name: 'John Doe' }, { age: 41 }])); //returns: SELECT * FROM customers WHERE (name='John Doe') OR (age=41)Do you like transformers? Then look no further.
This is the new Transformer™ API. What does it do? It offers a declarative way to express how your query results should look like, then it does the magic for you. Sounds simple, right?
You can check out the full documentation here. It will get you up and running quickly.
Let's have a look:
PostgreSQL and MySQL
const transformer = require('sqlutils/pg/transformer'); //or require('sqlutils/mysql/transformer');
const rows = [ //in real-world applications this would be the result of a database query
{ ssn: 'abcd', name: 'John Doe', email: 'john@example.com' },
{ ssn: 'abcd', name: 'John Doe', email: 'john@acme.com' },
{ ssn: 'defg', name: 'Jimmy', email: 'jimmy@example.com' },
];
const employees = transformer(rows, {
key: 'ssn',
columns: ['name'],
children: [{
key: ['email'],
rename: 'emails',
flat: true
}]
});
console.log(employees);
/*
[
{ ssn: 'abcd', name: 'John Doe', emails: ['john@example.com', 'john@acme.com' ] },
{ ssn: 'defg', name: 'Jimmy', emails: ['jimmy@example.com'] }
]
*/Easy! Now let's see something a bit more complex:
PostgreSQL and MySQL
const transformer = require('sqlutils/pg/transformer'); //or require('sqlutils/mysql/transformer');
const rows = [ //in real-world applications this would be the result of a database query
{ id: 1, name: 'Alice', sale_id: 1, sale_price_paid: 10.5, sale_item_code: 1, sale_item_name: 'A' },
{ id: 1, name: 'Alice', sale_id: 1, sale_price_paid: 10.5, sale_item_code: 2, sale_item_name: 'B' },
{ id: 1, name: 'Alice', sale_id: 2, sale_price_paid: 5.5, sale_item_code: 3, sale_item_name: 'C' },
{ id: 1, name: 'Alice', sale_id: 2, sale_price_paid: 5.5, sale_item_code: 4, sale_item_name: 'D' },
{ id: 2, name: 'Bob', sale_id: 3, sale_price_paid: 7.5, sale_item_code: 5, sale_item_name: 'E' },
{ id: 2, name: 'Bob', sale_id: 4, sale_price_paid: 15.5, sale_item_code: 6, sale_item_name: 'F' },
];
const customers = transformer(rows, {
key: 'id',
columns: ['name'],
children: [{
key: ['sale_id', 'id'],
columns: [
['sale_price_paid', 'price_paid'],
],
rename: 'sales',
children: [{
key: ['sale_item_code', 'code'],
columns: [ ['sale_item_name', 'name'] ],
rename: 'items',
}]
}]
});
console.log(customers);
/*
[
{
id: 1,
name: 'Alice',
sales: [
{ id: 1, price_paid: 10.5, items: [ { code: 1, name: 'A' }, { code: 2, name: 'B' } ] },
{ id: 2, price_paid: 5.5, items: [ { code: 3, name: 'C' }, { code: 4, name: 'D' } ] },
]
},
{
id: 2,
name: 'Bob',
sales: [
{ id: 3, price_paid: 7.5, items: [ { code: 5, name: 'E' } ] },
{ id: 4, price_paid: 15.5, items: [ { code: 6, name: 'F' } ] },
]
}
]
*/See? Quite easy, right? And that's still just the tip of the iceberg. This little monster can tackle a whole lot of tasks, while still being simple and declarative (maybe even intuitive when you get the hang of it).
I really advise you check out the docs. There you'll find everything you need not only to get up and running quickly, but also a complete description of every feature it provides.
By the way: imagine you could even get autocomplete for your query results when using this marvelous API? Sounds like magic? It sure is. But it's also true and possible, and I'm writing my thesis on it. Hang tight, a tool for it will be available later this year. Same API: just plug and play.
Yes. This library has a strict 100% coverage policy. Travis-CI runs for every commit, which guarantees safety. It's been in production for more than four years.
MIT License
Copyright (c) 2019-2023 Patrick Pissurno
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