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monologue
Advanced tools
Streamlined MySQL query building
Weekly downloads
Readme
These may be slightly little out of date due to recent changes but are pretty close to correct. See test.js for some great examples
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
// 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
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();
// 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();
// INSERT, passing array of column names and array of values
// output: INSERT INTO `users` (`email`,`first_name`,`last_name`) VALUES ('test@user.com', 'Test', 'User'),('example@sample.com', 'Sample', 'Person'),('fake@name.com', 'Fake', 'Name')
monologue()
.insert( 'users', ['email', 'first_name', 'last_name'], [
['test@user.com', 'Test', 'User'],
['example@sample.com', 'Sample', 'Person'],
['fake@name.com', 'Fake', 'Name']
]).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();
// augment/overwrite previous SET statements! very handy for conditional cases
let query = monologue()
.update( "files", { name: 'MyFile.pdf', path: "/path/to/myfile.pdf", status: 1, user_id: 23 })
.where({ id: 867 })
if( someCondition ) {
query.set({ status: 0, user_id: 45, hidden: 1 })
}
// output: UPDATE `files` SET `name` = 'MyFile.pdf', `path` = '/path/to/myfile.pdf', `status` = 0, `user_id` = 45, `hidden` = 1 WHERE `id` = 867
update.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();
// 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();
// the different JOIN methods
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();
// 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 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();
FAQs
Streamlined MySQL query building
The npm package monologue receives a total of 1 weekly downloads. As such, monologue popularity was classified as not popular.
We found that monologue demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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