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faicha

v1.3.2

Published

It empowers one to write complex and safe sql queries.

Downloads

7

Readme

faicha

Why yet another query generator?

Composing a sql query does not need to be complex. faicha has single abstraction, thats it.

The idea behind faicha is to replace dynamic parts of the queries with functions. While working with faicha we mostly write plain sql statements.

An example of using faicha

import { psql, sql, where } from 'faicha';
// psql for postgres
// sql for mysql

const query = sql`
SELECT * FROM users
INNER JOIN sessions ON sessions.user_id = users.id
${where({ 'users.id =': 123, 'users.active =': true })}
`;

console.log(query);
//  [
//    'SELECT * FROM users INNER JOIN sessions ON sessions.user_id = users.id WHERE users.id = ? AND users.active = ?',
//    [123, true],
//  ];

The interesting part here is where. Its just a normal function that gets placeholder generator as an argument.

Lets implement a simple form of where here. This will give us an idea of how we can construct the dynamic parts of queries when we need to.

function where(id) {
  return ($) => {
    return `WHERE id = ${$(id)}`;
  };
}

const query = sql`SELECT * FROM users ${where(123)}`;
console.log(query);
// ["SELECT * FROM users WHERE id = ?", [123]]

Fillers

We will call these dynamic parts fillers.

faicha packs some essential fillers.

where

When a map is passed to where, it uses and.

import { sql, where } from 'faicha'

const query = sql`SELECT * FROM users ${where({id: 1 active: true})}`
console.log(query)
// ["SELECT * FROM users WHERE (id = ? AND active = ?)",  [1, true]]

or / and

For complex logics we can use and and or fillers.

import { sql, where, and, or } from 'faicha'

const query = sql`
SELECT * FROM users
${where(
    and(["id =", 1],
        or(["active =" true], ["city =" "kathmandu"])
    )
  )}
`
console.log(query)
// ["SELECT * FROM users WHERE (id = ? AND (active = ? OR city = ?))", [1, true, "kathmandu"]]

select

values

values can be used to insert data.

Insert single data

import { sql, values } from 'faicha';

const query = sql`
INSERT INTO users
${values({ email: '[email protected]', city: 'kathmandu' })}
`;
console.log(query);
// ["INSERT INTO users (email, city) VALUES (?, ?)", ["[email protected]", "kathmandu"]]

set

set is used for updating table

import { sql, set, where } from 'faicha';

const query = sql`
UPDATE users
${set({ email: '[email protected]' })}
${where({ id: 1 })}
`;
console.log(query);
// ["UPDATE users SET email = ? WHERE (id = ?)", ["[email protected]", 1]]

limit

offset