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monologue

Streamlined MySQL query building

Monologue - Streamlined query building

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NOTICE

Starting in version 0.8.0, Monologue will only be compatible with 4.latest and up to take advantage of ES6 features. Do not upgrade if you are still using 0.12 or lower.

Breaking changes for 0.7.0

The API was reworked to clear up some annoyances and allow for free-hand queries to be written when a specific method does not exist. When a query is ready to be compiled, instead of calling .query() and referencing .sql, you simply call .sql(). Example:

monologue()
    .select( "*", "users u" )
    .join( "posts p", "p.user_id = u.id" )
    .where( { "category": "67" } )
    .sql();

The old method for compiling queries, .query(), has been repurposed for constructing queries that do not have a built in starter method (like .select(), .insert(), etc). These queries can be started like this:

monologue()
    .query('SHOW TABLES FROM table')
    .where({some: 'condition'})
    .sql();

No sanitization is performed as part of .query(), so use it carefully. Subsequent methods will sanitize per their normal behavior.

New Feature

.select() was updated in 0.7.1 to optionally accept a table name only, making '*' the implicit column selection. Example:

// 'SELECT * FROM `users` WHERE `email` = 'some@example.com'
monologue().select('users').where({email: 'some@example.com'}).sql()

A new method was added in 0.7.0, taking advantage of the recent API changes. It's pretty self-explanatory:

// 'EXPLAIN SELECT * FROM `users` WHERE `email` = 'some@example.com'
monologue().select('*', 'users').where({email: 'some@example.com'}).explain()

API

This area needs a ton of work. You can get some great examples in the section by the same name. For now, here's a quick rundown of monologue().backquote():

// result: [ '`email`', '`password`', '`type`' ]
monologue().backquote(['email', 'password', 'type']);

// result: { '`pizza`': "hawaiin bbq chicken", '`drink`': "chocolate milk", '`dessert`': "german chocolate cake" }
monologue().backquote({
    pizza: "hawaiin bbq chicken",
    drink: "chocolate milk",
    dessert: "german chocolate cake"
});

// result: '`cupcake`'
monologue().backquote('cupcake');

Examples

These are a little out of date due to recent changes but are pretty close to correct

var monologue = require('monologue');

// grouping of where statements, pay attention to how the objects are grouped and what the output becomes
// output: SELECT * FROM food WHERE type = 'junk' AND (chocolate = true AND flavor = 'sweet' OR caramel = true) OR (flavor = 'salty' AND peanuts = true)
monologue()
    .select('*', 'food')
    .where({type: 'junk'})
    .and([
        {flavor: 'sweet', chocolate: true},
        {caramel: true}
    ])
    .or([ {flavor: 'salty', peanuts: true} ])
    .sql()

// Less than basic SELECT statement


// call the SQL wrappers in any order, see below: where, group, where, order
var mono = monologue()
    .select( "*", "users")
    .where( { "id": [1,2,3,4,5,6] } ) // alternative to where("id").in([...])
    .and( 'date_time' ).between( '2012-09-12', '2013-01-20')
    .group( ['type', 'hamster' ] )
    .or( "name" ).like("ro%en") // out of order, also passing "OR" as separator
    .order( "id" )
    .limit( '300', 1000 )
    .sql();

console.log( mono.sql );
// output: SELECT * FROM users WHERE id IN (1,2,3,4,5,6) AND date_time BETWEEN '2012-09-12' AND '2013-01-20' OR name LIKE 'ro%en' GROUP BY type, hamster ASC ORDER BY id ASC LIMIT 1000, 300


mono().ljoin( table, statement ); // LEFT JOIN
mono().rjoin( table, statement ); // RIGHT JOIN
mono().lojoin( table, statement ); // LEFT OUTER JOIN
mono().rojoin( table, statement ); // RIGHT OUTER JOIN


// JOIN (default is inner):
// SELECT * FROM users u INNER JOIN posts p ON p.user_id = u.id WHERE category = '67'

monologue()
    .select( "*", "users u" )
    .join( "posts p", "p.user_id = u.id" )
    .where( { "category": "67" } )
    .sql();


// JOIN (LEFT, as argument):
// SELECT * FROM users u LEFT JOIN posts p ON p.user_id = u.id WHERE category = '67'

monologue()
    .select( "*", "users u" )
    .join( "LEFT", "posts p", { "p.user_id": "u.id" } )
    .where( { "category": "67" } )
    .sql();


// SELECT into outfile: the third param (OPTIONALLY ENCLOSED BY) is, as stated, optional. Just pass in the line ending and leave the 4th param out, the rest will be taken care of
// output: SELECT * FROM users WHERE company = 'general motors' INTO OUTFILE '/tmp/datafile' FIELDS TERMINATED BY ',' OPTIONALLY ENCLOSED BY '"' LINES TERMINATED BY '\n'


monologue()
    .select( "*", "users" )
    .where( { "company": "general motors" } )
    .file( "/tmp/datafile", ",", '"', "\\n" )
    .sql();


// SELECT into outfile: without third param
// output: SELECT * FROM users WHERE company = 'general motors' INTO OUTFILE '/tmp/datafile' FIELDS TERMINATED BY ','  LINES TERMINATED BY '\n'

monologue()
    .select( "*", "users")
    .where( { "company": "general motors" } )
    .file( "/tmp/datafile", ",", "\\n" )
    .sql();


// INSERT, passing an array of objects
// output: INSERT INTO users (first_name, password, username) VALUES ('me','1234','test'),('pasta','abcd','example')

monologue()
    .insert( 'users', [
        { username: 'test', password: '1234', first_name: 'me' },
        { username: 'example', password: 'abcd', first_name: "pasta" }
    ] )
    .sql();


// INSERT, passing a single object
// output: INSERT INTO users (first_name, password, username) VALUES ('cubert','abcd','me')

monologue()
    .insert( 'users', {
        username: 'me', password: 'abcd', first_name: "cubert"
    } )
    .sql();


// UPDATE
// output: UPDATE users SET email = 'some@email.com', password = 'abcdefg', username = 'yoyo' WHERE id = 23

monologue()
    .update( "users", {username: "yoyo", email: 'some@email.com', password: "abcdefg"} )
    .where( {id: 23} )
    .sql();


// DELETE
// output: DELETE FROM users WHERE first_name = 'me' AND password = '1234' AND username = 'test'

monologue()
    .delete( 'users', { username: 'test', password: '1234', first_name: "me" } )
    .sql();


// UNION
// Wrappers can be out of order BEFORE the UNION statement,
// wrappers after will be applied to the secondary statment
// output: SELECT username, email FROM users WHERE company_id = '1234' UNION SELECT screename, email_address FROM app_users WHERE company = 'coName'

monologue()
    .select('username, email', 'users')
    .where({"company_id": "1234"})
    .union('screename, email_address', 'app_users')
    .where({"company":"coName"})
    .sql();

// SELECT `username`, `password` FROM `users` WHERE id NOT IN (1,2,3,4)
mono()
    .select(['username', 'password'], 'users')
    .where('id')
    .not([1,2,3,4])
    .sql();

// SELECT * FROM `campsites` WHERE `reserved` != true AND `fishing` != \'slow\'
mono()
    .select('*', 'campsites')
    .not({'reserved': true, fishing: 'slow'})
    .sql();

// SELECT * FROM `media` WHERE `type` IS NOT NULL AND `file_size` > 0 AND `seconds` > 24325
mono()
    .select('*', 'media')
    .not({'type': null})
    .gt({file_size: 0, seconds: 24325})
    .sql();

// SELECT `username`, `password` FROM `users` WHERE `username` != \'joe\' AND `username` != \'bob\'
mono()
    .select(['username', 'password'], 'users')
    .not([{username: 'joe'},{username: 'bob'}])
    .sql();

// SELECT * FROM `users` WHERE last_login NOT BETWEEN \'2015-10-01 00:00:00\' AND \'2015-11-30 23:59:59\'
mono()
    .select('*', 'users')
    .where('last_login')
    .not()
    .between('2015-10-01 00:00:00', '2015-11-30 23:59:59')
    .sql();

// SELECT `title`, `post` FROM `posts` WHERE status < 8
mono()
    .select(['title', 'post'], 'posts')
    .where('status').lt(8)
    .sql();

// SELECT * FROM `posts` WHERE `favorited` <= 815 AND `commentors` <= 1516 OR `likes` <= 42
mono()
    .select('*', 'posts')
    .lte([{favorited: 815, commentors: 1516},{likes: 42}], 'OR')
    .sql();

// SELECT `post_id`, `comments` FROM `comments` WHERE `post_id` = 23565 AND date_time > \'2015-12-01 00:00:00\'
mono()
    .select(['post_id', 'comments'], 'comments')
    .where({post_id: 23565})
    .where('date_time').gt('2015-12-01 00:00:00')
    .sql();

// SELECT sum(id) as count FROM comments HAVING count >= 42
mono({backquote: false})
    .select(['sum(id) as count'], 'comments')
    .having('count').gte(42)
    .sql();