js-mysql-querybuilder

v0.0.1

Published

3 years ago

Modeled after Codeigniter's QueryBuilder. Build and execute queries in a safe and database-agnostic way.

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nodejs node mysql active record activerecord querybuilder query builder codeigniter postgres mssql mongo sqlite translator

Universal QueryBuilder for Node.js

Node-QueryBuilder is an ambitious attempt to create a kind of "universal translator" which provides programmers a consistent API to connect to and query any database (traditional and NoSQL) supported by the module. The module is highly extensible and, in theory, can suppport any database provided that the driver has been written for it.

The API of this module very closely mimics Codeigniter's Active Record (now called "Query Builder") library and much of the code has been directly translated from the PHP libraries in Codeigniter to JavaScript. A lot of credit needs to go to the folks over at EllisLab (https://ellislab.com/codeigniter) and all the contributors to the Codeigniter project (of which I am one): https://github.com/EllisLab/CodeIgniter/

The primary benefits of this module (currently) are:

Ability to write queries agnostically to the database you intend to query
Supports all basic database commands (insert, update, delete, select, etc...)
Extend capabilities from the most popular native database drivers in NPM.
Supports method chaining
Automatically escapes field values and identifiers by default
Is fully unit tested
Very thoroughly documented
Allows for greater flexibility and more control over a full ORM
Ligher-weight than an ORM
Allows you to drop down to the native methods of your driver if you choose to
Allows for different drivers for different versions (SQLite 2 vs SQLite 3)
The order in which you call the methods is irrelevant except for the execution methods (get, insert, update, delete) which must be called last.
Can used as a learning tool/Rosetta stone

Database Drivers

Currently Written:

MySQL / MariaDB

Coming Soon:

Postgres
Microsoft SQL Server
Oracle
SQLite
MongoDB

How to install

npm install node-querybuilder

License Info

Licensed under the GPL license and MIT:

Quick Example

This quick example shows how to connect to and asynchronously query a MySQL database using a single connection.

const settings = {
    host: 'localhost',
    database: 'mydatabase',
    user: 'myuser',
    password: 'MyP@ssw0rd'
};
const qb = require('node-querybuilder').QueryBuilder(settings, 'mysql', 'single');

qb.select('name', 'position')
    .where({type: 'rocky', 'diameter <': 12000})
    .get('planets', (err,response) => {
        if (err) return console.error("Uh oh! Couldn't get results: " + err.msg);

        // SELECT `name`, `position` FROM `planets` WHERE `type` = 'rocky' AND `diameter` < 12000
        console.log("Query Ran: " + qb.last_query());

        // [{name: 'Mercury', position: 1}, {name: 'Mars', position: 4}]
        console.dir(response);
    }
);

Connecting to Your Database

Quick Reference

Driver | Default | Ready | single | pool | cluster | Additional Connection Options :----------------------------------------- | :------- | :------ | :----- | :--- | :------ | :---------------------------------------------------------------------------------------- mysql | ✓ | Yes | Yes | Yes | Yes | node-mysql connection options mssql | | No | Yes | ??? | ??? | sqlite3 | | No | Yes | ??? | ??? | oracle | | No | Yes | ??? | ??? | postgres | | Pending | Yes | Yes | ??? | mongodb | | No | Yes | ??? | ??? |

Standard Connection Settings

The options listed below are available for all database drivers. Additional properties may be passed if the driver of the database you are connecting to supports them. See the "Additional Connection Options" column above for a link to the a specific driver's connection options documentation.

The best way to store these options is in a JSON file outsite of your web root where only root and the server user can access them.

Example JSON File

We'll call this db.json.

{
    "host": "db.myserver.com",
    "user": "myusername",
    "password": "P@s$w0rD",
    "database": "myDB",
    "pool_size": 50
}

Example App

const settings = require('db.json');
// Second and third parameters of the QueryBuilder method default to 'mysql' and 'standard', respectively
const qb = require('node-querybuilder').QueryBuilder(settings);

Of course you can also just have a normal javascript object directly within your code somwhere if you're honing your inner Chuck Norris:

Chuck Norris App

const qb = require('node-querybuilder').QueryBuilder({
    host: 'db.myserver.com',
    user: 'myusername',
    password: 'P@s$w0rD',
    database: 'MyDB',
    pool_size: 50
});

Choosing the Database Type

This part is super simple. Just pass which one you'd like to use as the second paramter to the constructor (mysql is the default):

Example:

const qb = require('node-querybuilder').QueryBuilder(settings, 'postgres');

Choosing the Connection Type

This library currently supports 3 connection methods:

single (default)
- This will use the driver's basic single connection capabilities. All connections to your app will use this single database connection. This is usually less than ideal for most web applications but might be quite suitable for command line scripts and the like.
- All drivers must have this connection type.
pool
- This will utilize the driver's connection pooling capabilities if it is offered. Connection pooling allows your application to pull from a pool of connections that were created by the driver. Typically the connections will be handed out to requesting methods in a round-robin fashion. This is ideal for a web application.
cluster
- When you have a cluster of servers and you want to create pools of connections to different servers to help load balance your stack, using the cluster connection type can come in handy. This is ideal for high-traffic web sites and applications that utilize a farm of database servers as opposed to just one.

Note: You will specify the type of connection as the third parameter to the contructor

Example:

const qb = require('node-querybuilder').QueryBuilder(settings, 'mysql', 'pool');

API Methods

NOTE: The compatibility portions of these tables are subject to change as features and drivers are written!

Chainable Methods

Chainable methods can be called as many times as you'd like in any order you like. The final query will not be built and executed until one of the execution methods, like get(), are callled. As the name implies, the methods can be chained together indefinitely but this is not required. You definitely call them individually with the same effect at execution time.

API Method | SQL Command | MySQL | MSSQL | Oracle | SQLite | Postgres | Mongo :------------------------------------ | :---------- | :------: | :---: | :----: | :----: | :------: | :---: select() distinct() select_min() select_max() select_avg() select_sum() from() join() where() where_in() where_not_in() or_where() or_where_in() or_w like() or_like() or_not_like() not_like() group_by() having() or_having() order_by() limit() offset() set() | SELECT | ✓ | | | | | | DISTINCT | ✓ | | | | | | MIN | ✓ | | | | | | MAX | ✓ | | | | | | AVG | ✓ | | | | | | SUM | ✓ | | | | | | FROM | ✓ | | | | | | JOIN | ✓ | | | | | | WHERE | ✓ | | | | | | IN | ✓ | | | | | | WHERE | ✓ | | | | | | WHERE | ✓ | | | | | | WHERE | ✓ | | | | | here_not_in() | WHERE | ✓ | | | | | | LIKE | ✓ | | | | | | LIKE | ✓ | | | | | | LIKE | ✓ | | | | | | LIKE | ✓ | | | | | | GROUP BY | ✓ | | | | | | HAVING | ✓ | | | | | | HAVING | ✓ | | | | | | ORDER BY | ✓ | | | | | | LIMIT | ✓ | | | | | | OFFSET | ✓ | | | | | | SET | ✓ | | | | |

SELECT

.select(fields[,escape])

This method is used to specify the fields to pull into the resultset when running SELECT-like queries.

The fields provided to this method will be automatically escaped by the database driver. The fields paramter can be passed in 1 of 2 ways (field names will be trimmed in either scenario):

NOTE: If the select method is never called before an execution method is ran, 'SELECT *' will be assumed.

String with fields seperated by a comma:
- .select('foo, bar, baz')
Array of field names
- .select(['foo', 'bar', 'baz'])

Examples

// SELECT * FROM galaxies
qb.select('*').get('foo',callback);

// Easier and same result:
qb.get('foo',callback);

An array of field names:

// SELECT `foo`, `bar`, `baz`
qb.select(['foo', 'bar', 'baz']);

You can chain the method together using different patterns if you want:

// SELECT `foo`, `bar`, `baz`, `this`, `that`, `the_other`
qb.select(['foo', 'bar', 'baz']).select('this,that,the_other');

You can alias your field names and they will be escaped properly as well:

// SELECT `foo` as `f`, `bar` as `b`, `baz` as `z`
qb.select(['foo as f', 'bar as b', 'baz as z']);

You can optionally choose not to have the driver auto-escape the fieldnames (dangerous, but useful if you a utilize function in your select statement, for instance):

// SELECT CONCAT(first_name,' ',last_name) AS `full_name`
qb.select('CONCAT(first_name,' ',last_name) AS `full_name`',false);

NOTE: If you use this technique to add driver-specific functions, it may (and probably will) cause unexpected outcomes with other database drivers!

DISTINCT

.distinct()

This SQL command is used to prevent duplicate rows from being returned in the resultset at the database level. It should only be used when querying data (execution methods: .get() & .get_where()) (not inserting, updating or removing). If it's provided to another execution method, it will simply be ignored.

This method takes no parameters

Example

// SELECT DISTINCT `id`, `name`, `description` FROM `users`
qb.distinct().select('id,name,description').get('users',callback);

MIN

.select_min(field[,alias])

This SQL command is used to find the minimum value for a specific field within a resultset.

Examples

// SELECT MIN(`age`) FROM `users`
qb.select_min('age').get('users',callback);

You can optionally include a second parameter to rename the resulting field

// SELECT MIN(`age`) AS `min_age` FROM `users`
qb.select_min('age', 'min_age').get('users',callback);

MAX

.select_max(field[,alias])

This SQL command is used to find the maximum value for a specific field within a resultset.

Examples

// SELECT MAX(`age`) FROM `users`
qb.select_max('age').get('users',callback);

You can optionally include a second parameter to rename the resulting field

// SELECT MAX(`age`) AS `max_age` FROM `users`
qb.select_max('age', 'max_age').get('users',callback);

AVG

.select_avg(field[,alias])

This SQL command is used to find the average value for a specific field within a resultset.

Examples

// SELECT AVG(`age`) FROM `users`
qb.select_avg('age').get('users',callback);

You can optionally include a second parameter to rename the resulting field

// SELECT AVG(`age`) AS `avg_age` FROM `users`
qb.select_avg('age', 'avg_age').get('users',callback);

SUM

.select_sum(field[,alias])

This SQL command is used to find the minimum value for a specific field within a result set.

Examples

// SELECT SUM(`age`) FROM `users`
qb.select_sum('age').get('users',callback);

You can optionally include a second parameter to rename the resulting field

// SELECT SUM(`age`) AS `sum_age` FROM `users`
qb.select_sum('age', 'sum_age').get('users',callback);

FROM

.from(tables)

This SQL command is used to determine which sources, available to the active connection, to obtain data from.

You can provide tables, views, or any other valid source of data in a comma-seperated list (string) or an array. When more than one data-source is provided when connected to a traditional RDMS, the tables will joined using a basic join. You can also .from() multiple times to get the same effect (the order in which they are called does not matter).

Aliases can be provided and they will be escaped properly.

NOTE: You can also pass table/view names into the .get() and .get_where() methods and forego this method entirely.

Examples

Basic

// SELECT `id`, `name`, `description` FROM `users`
qb.select('id,name,description').from('users').get(callback);

Comma-Seperated

// SELECT `u`.`id`, `u`.`name`, `u`.`description`, `g`.`name` AS `group_name`
// FROM (`users` `u`, `groups` `g`)
qb.select('u.id,u.name,u,description,g.name as group_name')
    .from('users u, groups g')
    .get(callback);

Array of Tables

// SELECT `u`.`id`, `u`.`name`, `u`.`description`, `g`.`name` AS `group_name`
// FROM (`users` `u`, `groups` `g`)
qb.select('u.id,u.name,u,description,g.name as group_name')
    .from(['users u', 'groups g'])
    .get(callback);

Multiple From Calls

// SELECT `u`.`id`, `u`.`name`, `u`.`description`, `g`.`name` AS `group_name`
// FROM (`users` `u`, `groups` `g`)
qb.from('groups g').select('u.id,u.name,u,description,g.name as group_name')
    .from('users u')
    .get(callback);

JOIN

.join(table,relation[,direction])

This SQL command is used query multiple tables related and connected by keys and get a single resultset.

Join Types/Directions

left
right
outer
inner
left outer
right outer

The table/view and the relationship of it to the main table/view (see: .from()) must be specified. The specific type of join defaults to "left" if none is specified (althought it is recommened to always supply this value for readability). Multiple function calls can be made if you need several joins in one query. Aliases can (and should) be provided and they will be escaped properly.

Examples

If no direction is specified, "left" will be used:

// SELECT `u`.`id`, `u`.`name`, `t`.`name` AS `type_name`
// FROM `users` `u`
// LEFT JOIN `types` `t` ON `t`.`id`=`u`.`type_id`
qb.select('u.id,u.name,t.name as type_name').from('users u')
    .join('types t', 't.id=u.type_id')
    .get(callback);

You may specify a direction:

// SELECT `u`.`id`, `u`.`name`, `t`.`name` AS `type_name`
// FROM `users` `u`
// RIGHT OUTER JOIN `types` `t` ON `t`.`id`=`u`.`type_id`
qb.select('u.id,u.name,t.name as type_name').from('users u')
    .join('types t', 't.id=u.type_id', 'right outer')
    .get(callback);

Multiple function calls can be made if you need several joins in one query:

// SELECT `u`.`id`, `u`.`name`, `t`.`name`  AS `type`, `l`.`name` AS `location`
// FROM `users` `u`
// LEFT JOIN `types` `t` ON `t`.`id`=`u`.`type_id`
// LEFT JOIN `locations` `l` ON `l`.`id`=`u`.`location_id`
const select = ['u.id', 'u.name', 't.name as type', 'l.name as location'];
qb.select(select).from('users u')
    .join('types t', 't.id=u.type_id', 'right outer')
    .join('locations l', 'l.id=u.location_id', 'left')
    .get(callback);

If you have a very complex condition you can choose to forego escaping (not recommended unless you know what you're doing). NOTE: Please make sure to escape values manually.

// SELECT `u`.`id`, `u`.`name`, `t`.`name`  AS `type`
// FROM `users` `u`
// LEFT JOIN `user_meta` `um` ON
//   CASE
//     WHEN `u`.`id` = 4132 THEN `um`.`id` = `um`.`userId`
//     WHEN `u`.`name` = 4132 THEN `um`.`name` = `u`.`id`
const select = ['u.id', 'u.name', 'um.name as user_name'];
const user_data = req.body;
qb.select(select).from('users u')
    .join('`user_meta` `um`', 'CASE WHEN `u`.`id` = ' + user_data.id  + ' THEN `um`.`id` = `um`.`userId` WHEN `u`.`name` = ' + user_data.id + ' THEN `um`.`name` = `u`.`id`', 'right outer', false)
    .get(callback);

WHERE

This SQL command is used to limit the resultset based on filters.

.where(field[,value[,escape]])

This method can be called in many different ways depending on your style and the format of the data that you have at the time of calling it. For standard SQL, all clauses will be joined with 'AND'—if you need to join clauses by 'OR', please us .or_where(). By default, all values and field names passed to this function will be escaped automatically to produce safer queries. You can turn this off by passing false into the third parameter.

If a valid field name is passed in the first parameter, you can pass an array the second parameter and the call will be treated as a .where_in().

Examples

If you just want to pass a single filter at a time:

// SELECT `galaxy` FROM `universe` WHERE `planet_name` = 'Earth'
qb.select('galaxy').where('planet_name', 'Earth').get('universe',callback);

If you need more complex filtering using different operators (<, >, <=, =>, !=, <>, etc...), you can simply provide that operator along with the key in the first parameter. The '=' is assumed if a custom operator is not passed:

// SELECT `planet` FROM `planets` WHERE `order` <= 3
qb.select('planet').where('order <=',3).get('planets',callback);

You can conveniently pass an object of key:value pairs (which can also contain custom operators):

// SELECT `planet` FROM `planets` WHERE `order` <= 3 AND `class` = 'M'
qb.select('planet').where({'order <=':3, class:'M'}).get('planets',callback);

You can construct complex WHERE clauses manually and they will be escaped properly as long as there are no paranthesis within it. Please, for custom clauses containing subqueries, make sure you escape everything properly! ALSO NOTE: with this method, there may be conflicts between database drivers!

// SELECT `planet` FROM `planets` WHERE `order` <= 3 AND `class` = 'M'
qb.select('planet').where("order <= 3 AND class = 'M'").get('planets',callback);

You can pass a non-empty array as a value and that portion will be treated as a call to .where_in():

// SELECT `star_system` FROM `star_systems`
// WHERE `planet_count` >= 4, `star` IN('Sun', 'Betelgeuse')
qb.select('star_system')
    .where({'planet_count >=': 4, star: ['Sun', 'Betelgeuse'])
    .get('star_systems',callback);

.or_where(field[,value[,escape]])

This method functions identically to .where() except that it joins clauses with 'OR' instead of 'AND'.

// SELECT `star_system` FROM `star_systems`
// WHERE `star` = 'Sun' OR `star` = 'Betelgeuse'
qb.select('star_system').where('star', 'Sun')
    .or_where('star', 'Betelgeuse')
    .get('star_systems',callback);

.where_in(field,values[,escape])

This will create a "WHERE IN" statement in traditional SQL which is useful when you're trying to find rows with fields matching many different values... It will be joined with existing "WHERE" statements with 'AND'.

// SELECT `star_system` FROM `star_systems`
// WHERE `star` IN('Sun', 'Betelgeuse', 'Sirius', 'Vega', 'Alpha Centauri')
const stars = ['Sun', 'Betelgeuse', 'Sirius', 'Vega', 'Alpha Centauri'];
qb.select('star_system').where_in('star',stars).get('star_systems',callback);

.or_where_in(field,values[,escape])

Same as .where_in() except the clauses are joined by 'OR'.

// SELECT `star_system` FROM `star_systems`
// WHERE `planet_count` = 4 OR `star` IN('Sun', 'Betelgeuse')
const stars = ['Sun', 'Betelgeuse'];
qb.select('star_system').where('planet_count',4)
    .or_where_in('star',stars)
    .get('star_systems',callback);

.where_not_in(field,values[,escape])

Same as .where_in() except this generates a "WHERE NOT IN" statement. All clauses are joined with 'AND'.

// SELECT `star_system` FROM `star_systems`
// WHERE `star` NOT IN('Sun', 'Betelgeuse', 'Sirius', 'Vega', 'Alpha Centauri')
const stars = ['Sun', 'Betelgeuse', 'Sirius', 'Vega', 'Alpha Centauri'];
qb.select('star_system').where_not_in('star',stars).get('star_systems',callback);

.or_where_not_in(field,values[,escape])

Same as .where_not_in() except that clauses are joined with 'OR'.

// SELECT `star_system` FROM `star_systems`
// WHERE `star` NOT IN('Sun', 'Betelgeuse')
// OR `planet_count` NOT IN [2,4,6,8]
const stars = ['Sun', 'Betelgeuse'];
const planet_sizes = [2,4,6,8];
qb.select('star_system')
    .where_not_in('star',stars)
    .or_where_not_in('planet_size',planet_sizes)
    .get('star_systems',callback);

LIKE

This SQL command is used to find close matches where as the "WHERE" command is for precise matches. This is useful for doing searches.

NOTE: You can, alternatively, use 'right' and 'left' in place of 'before' and 'after' if you prefer.

.like(field,match[,side])

All fields are escaped automatically, no exceptions. Multiple calls will be joined together with 'AND'. You can also pass an object of field/match pairs. Wildcard sides are interchangeable between before/left and after/right--choose the one that makes the most sense to you (there are examples of each below).

Examples

By default, the match string will be wrapped on both sides with the wildcard (%):

// SELECT `first_name` FROM `users` WHERE `first_name` LIKE '%mber%'
// Potential results: [{first_name: 'Kimberly'},{first_name: 'Amber'}]
qb.select('first_name').like('first_name', 'mber').get('users',callback);

You can specify a side to place the wildcard (%) on if you'd like (before/left, after/right, both):

// SELECT `first_name` FROM `users` WHERE `first_name` LIKE '%mber'
// Potential results: [{first_name: 'Amber'}]
qb.select('first_name').like('first_name', 'mber', 'before').get('users',callback);

// SELECT `first_name` FROM `users` WHERE `first_name` LIKE 'Kim%'
// Potential results: [{first_name: 'Kim'},{first_name: 'Kimberly'}]
qb.select('first_name').like('first_name', 'Kim', 'right').get('users',callback);

You can also pass 'none' if you don't want to use the wildcard (%)

// SELECT `first_name` FROM `users` WHERE `first_name` LIKE 'kim'
// Potential results: [{first_name: 'Kim'}]
qb.select('first_name').like('first_name', 'kim', 'none').get('users',callback);

If you'd like to have multiple like clauses, you can do that by calling like multiple times:

// SELECT `first_name` FROM `users`
// WHERE `first_name` LIKE 'Kim%'
// AND `middle_name` LIKE '%lyt%'
// AND `last_name` LIKE '%arris'
qb.select('first_name')
    .like('first_name', 'Kim', 'right')
    .like('middle_name', 'lyt')
    .like('last_name', 'arris', 'left')
    .get('users',callback);

Or you can do it with an object of field/match pairs. If you want to pass a wildcard side, provide null as the second paramter and the side as the third. Note: All match values in an object will share the same wildcard side.

// SELECT `first_name` FROM `users`
// WHERE `first_name` LIKE '%ly'
// AND `middle_name` LIKE '%the'
// AND `last_name` LIKE '%is'
qb.select('first_name')
    .like({first_name: 'ly', middle_name: 'the', last_name: 'is'}, null, 'before')
    .get('users',callback);

.or_like(field,match[,side])

This is exactly the same as the .like() method except that the clauses are joined by 'OR' not 'AND'.

Example

// SELECT `first_name` FROM `users`
// WHERE `first_name` LIKE 'Kim%'
// OR `middle_name` LIKE '%lyt%'
// OR `last_name` LIKE '%arris'
qb.select('first_name')
    .or_like('first_name', 'Kim', 'right')
    .or_like('middle_name', 'lyt')
    .or_like('last_name', 'arris', 'left')
    .get('users',callback);

.not_like(field,match[,side])

This is exactly the same as the .like() method except that it creates "NOT LIKE" statements.

Example

// SELECT `first_name` FROM `users`
// WHERE `first_name` NOT LIKE 'A%'
// AND `middle_name` NOT LIKE 'B%'
// AND `last_name` NOT LIKE 'C%'
qb.select('first_name')
    .not_like({first_name: 'A', middle_name: 'B', last_name: 'C'}, null, 'after')
    .get('users',callback);

.or_not_like(field,match[,side])

This is exactly the same as the .not_like() method except that the clauses are joined by 'OR' not 'AND'.

Example

// SELECT `first_name` FROM `users`
// WHERE `first_name` NOT LIKE 'A%'
// OR `middle_name` NOT LIKE 'B%'
// OR `last_name` NOT LIKE 'C%'
qb.select('first_name')
    .or_not_like({first_name: 'A', middle_name: 'B', last_name: 'C'}, null, 'after')
    .get('users',callback);

GROUP BY

.group_by(fields)

This SQL command allows you to get the first (depending on ORDER) result of a group of results related by a shared value or values.

Examples

Group by a single field:

// SELECT * FROM `users` GROUP BY `department_id`
qb.group_by('department_id').get('users',callback);

Group by multiple fields:

// SELECT * FROM `users` GROUP BY `department_id`, `position_id`
qb.group_by(['department_id', 'position_id']).get('users',callback);

HAVING

.having(field,value)

This SQL command is similar to the 'WHERE' command but is used when aggregate functions are used in the "SELECT" portion of the query.

This method works exactly the same way as the .where() method works with the exception of the fact that there is no 'HAVING' equivalent to 'WHERE IN'. See the .where() documentation if you need additional information.

Examples

If you just want to add a single having clause:

// SELECT COUNT(*) AS `num_planets` FROM `star_systems`
// GROUP BY `id`
// HAVING `num_planets` = 5
qb.group_by('id').having('num_planets',5).count('star_systems',callback);

// SELECT COUNT(*) AS `num_planets` FROM `star_systems`
// GROUP BY `id`
// HAVING `num_planets` > 5
qb.group_by('id').having('num_planets >',5).count('star_systems',callback);

You can conveniently pass an object of key:value pairs (which can also contain custom operators):

// SELECT COUNT(*) AS `num_planets` FROM `star_systems`
// GROUP BY `id`
// HAVING `num_planets` > 5
qb.group_by('id').having({'num_planets >': 5}).count('star_systems',callback);

You can construct complex WHERE clauses manually and they will be escaped properly. Please, for custom clauses containing subqueries, make sure you escape everything properly! ALSO NOTE: with this method, there may be conflicts between database drivers!

// SELECT COUNT(*) AS `num_planets` FROM `star_systems`
// GROUP BY `id`
// HAVING `num_planets` > (5+2)
qb.group_by('id').having("`num_planets` > (5+2)",null,false).count('star_systems',callback);

.or_having(field[,value[,escape]])

This method functions identically to .having() except that it joins clauses with 'OR' instead of 'AND'.

// SELECT SUM(planets) AS `num_planets`, SUM(moons) AS `num_moons` FROM `star_systems`
// GROUP BY `id`
// HAVING `num_planets` >= 5 OR `num_moons` <= 10
qb.group_by('id')
    .having('num_planets >=',5)
    .or_having('num_moons <=', 10)
    .count('star_systems',callback);

ORDER BY

.order_by(field[,direction])

This SQL command is used to order the resultset by a field or fields in descending, ascending, or random order(s).

This is a very flexible method, offerring a wide constiety of ways you can call it. constiations include:

Pass the field name and ommit the direction
Pass the field name and the direction as the first and second parameters, respectively (most common)
Pass an array of fields to first paramter, direction to second parameter.
Pass an array of fields + directions in first parameter and ommit the second one.
Pass an array of fields (+ directions for some to override second parameter) to first paramter, direction to second parameter.
Pass a raw comma-seperated string of field + directions in first parameter and ommit the second one.

Examples

Pass the field name and ommit the direction

// SELECT * FROM `galaxies` ORDER BY `galaxy_name` ASC
qb.order_by('galaxy_name').get('galaxies',callback);

Pass the field name and the direction as the first and second parameters, respectively

// SELECT * FROM `galaxies` ORDER BY `galaxy_name` DESC
qb.order_by('galaxy_name', 'desc').get('galaxies',callback);

Pass an array of fields to first paramter, direction to second parameter

// SELECT * FROM `galaxies` ORDER BY `galaxy_name` DESC, `galaxy_size` DESC
qb.order_by(['galaxy_name', 'galaxy_size'],'desc').get('galaxies',callback);

Pass an array of fields + directions in first parameter and ommit the second one.

// SELECT * FROM `galaxies` ORDER BY `galaxy_name` DESC, `galaxy_size` ASC
qb.order_by(['galaxy_name desc', 'galaxy_size asc']).get('galaxies',callback);

Pass an array of fields (+ directions for some to override second parameter) to first paramter, direction to second parameter

// SELECT * FROM `galaxies` ORDER BY `galaxy_name` DESC, `galaxy_size` ASC
qb.order_by(['galaxy_name desc', 'galaxy_size'],'asc').get('galaxies',callback);

Pass a raw comma-seperated string of field + directions in first parameter and ommit the second one.

// SELECT * FROM `galaxies` ORDER BY `galaxy_name` ASC, `galaxy_size` DESC
qb.order_by('galaxy_name asc, galaxy_size desc').get('galaxies',callback);

LIMIT

.limit(limit_to,offset)

This SQL command is used to limit a result set to a maximum number of results, regardless of the actual number of results that might be returned by a non-limited query.

Example

// SELECT * FROM `users` LIMIT 5
qb.limit(5).get('users',callback);

You can provide an option offset value instead of calling .offset() seperately:

// SELECT * FROM `users` LIMIT 5, 5
qb.limit(5,5).get('users',callback);

OFFSET

.offset(offset)

This SQL command is tell the "LIMIT" where to start grabbing data. If cannot be used without a limit having been set first.

The practical uses of this method are probably miniscule since the .limit() method must be called in order to use it and the limit method provides a means by which to set the offset. In any case, the method is very simple: pass the result row index that you want to start from when limiting. This is most useful for pagination of search results and similar scenarios.

Example

// SELECT * FROM `users` LIMIT 5, 25
qb.limit(5).offset(25).get('users',callback);

SET

.set(key[, value[, escape]])

This SQL is used to set values to fields when utilizing the update, and insert methods. More than likely, you will choose use the shorthand notation provided by the aforementioned methods, but, this can be handy in some cases.

Examples

Basic single seting of a value

// UPDATE `users` SET `birthday` = '2015-02-04'
qb.set('birthday','2015-02-04').update('users', callback);

Set multiple keys and values at once

const birthday = new Date(1986, 7, 5, 8, 15, 23);
// UPDATE `users` SET `birthday` = '2015-02-04', `anniversary` = '2010-05-15'
qb.set({birthday: birthday, anniversary: '2010-05-15'}).update('users', callback);

Execution Methods

API Method | SQL Command | MySQL | MSSQL | Oracle | SQLite | Postgres | Mongo :-------------------------------- | :------------ | :------: | :---: | :----: | :----: | :------: | :---: query() | N/A | ✓ | | | | | get() | N/A | ✓ | | | | | get_where() | N/A | ✓ | | | | | count() | COUNT | ✓ | | | | | update() | UPDATE | ✓ | | | | | update_batch() | N/A | ✓ | | | | | insert() | INSERT | ✓ | | | | | insert_batch() | N/A | ✓ | | | | | insert_ignore() | INSERT IGNORE | ✓ | | | | | delete() | DELETE | ✓ | | | | | truncate() | TRUNCATE | ✓ | | | | | empty_table() | DELETE | ✓ | | | | |

What are "Execution Methods"??

Execution methods are the end-of-chain methods in the QueryBuilder library. Once these methods are called, all the chainable methods you've called up until this point will be compiled into a query string and sent to the driver's query() method. At this point, the QueryBuilder will be reset and ready to build a new query. The database driver will respond with results depending on the type of query being executed or with an error message. Both (if provided) will be supplied to the callback function.

Handling Error Messages and Results

The final parameter of every execution method will be a callback function. For single connection setups, the parameters for the callback are in the node.js standard (err, response) format. If the driver throws an error, a javascript Standard Error object will be passed into the err parameter. The response parameter can be supplied with an array of result rows (.get() & .get_where()), an integer (.count()), or a response object containing rows effected, last insert id, etc... in any other scenario.

Response Format Examples

API Method(s) | Response Format :----------------------------- | :----------------------------------------------------------------------------------------- get(), get_where() | [{field:value,field2:value2},{field:value, field2:value2}] count() | Integer (ex. 578) insert(), update(), delete() | Example: {insert_id: 579, affected_rows: 1, changed_rows: 0 [,and others per DB driver]} insert_batch(), update_batch() | Example: {insert_id: 579, affected_rows: 1, changed_rows: 0 [,and others per DB driver]}

Callback Example

const callback =  (err, response) => {
    qb.release();
    if (err) {
        console.error(err);
    }
    else {
        for (const i in response) {
            const row = response[i];
            /*
                Do something with each row...
            */
        }
    }
};
pool.get_connection(qb => {
    qb.get('foo',callback);
});

Using the Same Connection Pool Connection for Successive Calls

const pool = require('node-querybuilder').QueryBuilder(settings,'mysql','pool');
const data = {username: 'jsmith', first_name: 'John', last_name: 'Smith'};

pool.get_connection(qb => {
    qb.insert('employees', data, (err, res) => {
        if (err) {
            console.error(err);
        }
        else {
            if (res.affected_rows > 0) {
                const insert_id = res.insert_id;
                qb.get_where('employees', {id: insert_id}, (err, res) => {
                    qb.release();
                    console.dir(res);
                });
            }
            else {
                console.error("New user was not added to database!");
            }
        }
    });
});

.query(query_string,callback)

This method bypasses the entire QueryBuilder portion of this module is simply uses your database driver's native querying method. You should be cautious when using this as none of this module's security and escaping functionality will be utilized.

There are scenarios when using this method may be required; for instance, if you need to run a very specific type of command on your database that is not typical of a standard, CRUD-type query (ex. user permissions or creating a view).

Example

const sql = qb.select(['f.foo', 'b.bar'])
    .from('foo f')
    .join('bar b', 'b.foo_id=f.id', 'left')
    .get_compiled_select();
qb.query("CREATE VIEW `foobar` AS " + sql, callback);

.get([table,]callback)

This method is used when running queries that might respond with rows of data (namely, "SELECT" statements...). You can pass a table name as the first parameter to avoid having to call .from() seperately. If the table name is omitted, and the first paramter is a callback function, there will be no need to pass a callback function into the second parameter.

Type of Response Sent to Callback

Array of rows

Examples

If you want to provide a table name into the first parameter:

// SELECT * FROM `galaxies`
qb.get('galaxies', callback);

If you already have the table added to the query:

// SELECT * FROM `galaxies`
qb.from('galaxies').get(callback);

Just a more-complicated example for the sake of it (note: using connection pool):

/**
 * SELECT
 *     `g`.`name`,
 *    `g`.`diameter`,
 *    `g`.`type_id`,
 *    `gt`.`name` AS `type`,
 *    COUNT(`s`.`id`) as `num_stars`
 * FROM `galaxies` `g`
 * LEFT JOIN `galaxy_types` `gt` ON `gt`.`id`=`g`.`type_id`
 * LEFT JOIN `stars` `s` ON `s`.`galaxy_id`=`g`.`id`
 * GROUP BY `g`.`id`
 * ORDER BY `g`.`name` ASC
 * LIMIT 10
 **/
qb.limit(10)
    .select(['g.name', 'g.diameter', 'gt.name as type'])
    .select('COUNT(`s`.`id`) as `num_stars`',null,false)
    .from('galaxies g')
    .join('galaxy_types gt', 'gt.id=g.type_id', 'left')
    .join('stars s', 's.galaxy_id=g.id', 'left')
    .group_by('g.id')
    .order_by('g.name', 'asc')
    .get((err, response, conn) => {
        conn.release();
        if (err) return console.error(err);

        for (const i in response) {
            const row = response[i];
            console.log("The " + row.name + " is a " + row.diameter
                + " lightyear-wide " + row.type + " galaxy with "
                + row.num_stars + " stars.");
        }
    });

.get_where(table,where,callback)

This method is basically the same as the .get() method except that if offers an additional shortcut parameter to provide a list of filters ({field_name:value}) to limit the results by (effectively a shortcut to avoid calling .where() seperately). The other difference is that all parameters are required and they must be in the proper order.

Type of Response Sent to Callback

Array of objects representing the result rows.

Examples

Basic example:

// SELECT * FROM `galaxies` WHERE `num_stars` > 100000000
qb.get_where('galaxies', {'num_stars >': 100000000}, callback);

You can still provide other where statements if you want—they'll all work hapilly together:

// SELECT * FROM `galaxies` WHERE `num_stars` > 100000000 AND `galaxy_type_id` = 3
qb.where('num_stars >', 100000000).get_where('galaxies', {galaxy_type_id: 3}, callback);

.count([table,]callback)

This method is used to determine the total number of results that a query would return without actually returning the entire resultset back to this module. Obviously, you could simply execute the same query with .get() and then check the length property of the response array, but, that would take significantly more time and memory for very large resultsets.

The field in the resultset will always labeled be 'numrows'.

Type of Response Sent to Callback

Integer

Examples

// SELECT COUNT(*) AS `numrows` FROM `galaxies` WHERE `type` = 3
const type = 3;
qb.where('type',type).count('galaxies', (err, count) => {
    if (err) return console.error(err);
    console.log("There are " + numrows + " Type " + type + " galaxies in the Universe.");
});

.update(table,data[,where],callback)

Parameter | Type | Default | Description :-------- | :------- | :------- | :---------------------------------------------------------------------------------------------------- table | String | null | (suggested) The table/collection you'd like to update data | Object | null | (suggested) The data to update (ex. {field: value}) where | Object | null | (optional) Used to avoid having to call .where() seperately. Pass NULL if you don't want to use it. callback | Function | Required | What to do when the driver has responded.

This method is used to update a table (SQL) or collection (NoSQL) with new data. All identifiers and values are escaped automatically when applicable. The response parameter of the callback should receive a response object with information like the number of records updated, and the number of changed rows...

NOTE:

The first and second parameters are not required but I do suggest you use them as your code will be much easier to read. If you choose not to use them, you will need to pass a falsy value to each... you can't simply skip them. My recommendation is to use null. The way you would supply these values without using this method would be through the from() method for the first paramater and the set() method for the second paramter.

Type of Response Sent to Callback

Object containing information about the results of the query.

Examples

Here's a contrived example of how it might be used in an app made with the Express framework:

const express = require('express');
const app = express();
const settings = require('db.json');
const pool = require('node-querybuilder').QueryBuilder(settings, 'mysql', 'pool');

app.post('/update_account', (req, res) => {
    const user_id = req.session.user_id;
    const sanitize_name = name => name.replace(/[^A-Za-z0-9\s'-]+$/,'').trim();
    const sanitize_age = age => age.replace(/[^0-9]+$/,'').trim();

    const data = {
        first_name: sanitize_name(req.body.first_name),
        last_name: sanitize_name(req.body.last_name),
        age: sanitize_age(req.body.last_name),
        bio: req.body.bio,
    };

    pool.get_connection(qb => {
        qb.update('users', data, {id:user_id}, (err, res) => {
            qb.release();
            if (err) return console.error(err);

            const page_data = {
                prefill: data,
            }
            return res.render('/account_updated', page_data);
        });
    });
});

Here's another (more-direct) example where one decided to supply the table, data, and filters through alternative methods:

const qb = require('node-querybuilder').QueryBuilder(settings, 'mysql', 'single');
qb.where('id', 42)
    .from('users')
    .set('email', '[email protected]')
    .update(null, null, null, (err, res) => {
        if (err) return console.error(err);
        console.log("Updated: " + res.affected_rows + " rows");
    });

.update_batch(table,dataset,index[,where],callback)

Parameter | Type | Default | Description :-------- | :------- | :------- | :---------------------------------------------------------------------------------------------------- table | String | Required | The table/collection you'd like to insert into dataset | Array | Required | An array of data (rows) to update (ex. [{id: 3, field: value}, {id: 4, field: val}]) index | String | Required | Name of the key in each data object that represents a where clause. where | Object | NULL | (optional) Used to avoid having to call .where() seperately. Pass NULL if you don't want to use it. callback | Function | Required | What to do when the driver has responded.

This method is a somewhat-complex one and, when using transactional databases, a bit pointless. Nevertheless, this will allow you to update a batch of rows with one query which, in theory, should be faster than running multiple update queries.

The important thing to understand is that there are, essentially, two where clause portions with this method: a local one, and a global one. The index you specify in the 3rd parameter represents the name of the key in each data object of the dataset that will act as the local where clause for that particular row to be updated. That row, however, will only be updated if the global where clause(s) (4th param) have been satisfied as well.

NOTE: This method will create batches of up to 100 rows at a time. So, if you have 250 rows to update, this will make 3 queries to your database.

Example:

const qb =  require('node-querybuilder').QueryBuilder(settings, 'mysql', 'single');

// The key to use as the local where clause
const key = 'id';

// All objects in this dataset must have an id key
const dataset = [
    {id: 4569, name: 'Cartwheel', constellation: 'Sculptor'},
    {id: 5631, name: 'Black Eye', constellation: 'Coma Berenices'},
    {id: 1238, name: 'Sombrero',  constellation: 'Virgo'}
];

const where = {'last_updated <' : '2015-01-01'}

qb.update_batch('galaxies', dataset, key, where, (err, res) => {
    if (err) return console.error(err);

    /*
     * UPDATE `galaxies`
     * SET
     * `name` = CASE
     *      WHEN `id` = 4569 THEN 'Cartwheel'
     *      WHEN `id` = 5631 THEN 'Black Eye'
     *      WHEN `id` = 1238 THEN 'Sombrero'
     *      ELSE `name`
     * END,
     * `constellation` = CASE
     *      WHEN `id` = 4569 THEN 'Sculptor'
     *      WHEN `id` = 5631 THEN 'Coma Berenices'
     *      WHEN `id` = 1238 THEN 'Virgo'
     *      ELSE `constellation`
     * END
     * WHERE `id` IN(4569, 5631, 1238)
     * AND `last_updated` < '2015-01-01'
     */
    const last_query = qb.last_query();
});

As you can see, in each CASE statement, the key and it's value are being used to determine what to set the other items to. It's important to know that the key and it's value will not be updated in the batch update... they are just there to make sure we set the right values in the right place.

.insert(table,data[,ignore[,on_dupe]],callback)

Parameter | Type | Default | Description :-------- | :------- | :-------- | :-------------------------------------------------------------------------------------------------------------- table | String | Required | The table/collection you'd like to insert into data | Object | Required | The data to insert (ex. {field: value}) ignore | Boolean | false | (optional) If TRUE, generates IGNORE syntax for your driver if it's supported; ignored (haha) if not supported. on_dupe | String | undefined | (optional) Query suffix needed for generating an 'upsert' (ex. ON DUPLICATE KEY UPDATE ...). callback | Function | Required | What to do when the driver has responded.

This method is used to insert new data into a table (SQL) or collection (NoSQL). All identifiers and values are escaped automatically when applicable. The response parameter of the callback should receive a response object with information like the ID of the newly inserted item, the affected rows (should be 1), etc...

Type of Response Sent to Callback

Object containing information about the result of the query.

Examples

Here's a contrived example of how it might be used in an app made with the Express framework:

const express = require('express');
const app = express();
const settings = require('db.json');
const pool = require('node-querybuilder').QueryBuilder(settings, 'mysql', 'pool');

app.post('/add_article', (req, res) => {
    const user_id = req.session.user_id;

    const data = {
        title: req.body.first_name,
        body: req.body.last_name,
        author: user_id,
        publish_date: sanitize_age(req.body.last_name)
    };

    pool.get_connection(qb => {
        qb.insert('articles', data, (err, res) => {
            qb.release();
            if (err) return console.error(err);

            const page_data = {
                article_id: res.insert_id,
            }
            return res.render('/article_manager', page_data);
        });
    });
});

.insert_batch(table,dataset[,ignore[,on_dupe]],callback)

The goal of this method is to speed the insertion of many rows. For instance, if you were insert 1,000 rows... Instead of making 1,000 queries to the server, you could just call insert_batch() and it would generate a single query to insert 1,000 rows. This is much more efficient and less taxing on your app and database server.

Type of Response Sent to Callback

Object containing information about the result of the query.

Example

const qb = require('node-querybuilder').QueryBuilder(settings, 'mysql');

const data = [
    {name: 'MySQL', version: '5.5.40'},
    {name: 'Mongo', version: '2.6.7' },
    {name: 'Postgres', version: '8.4'}
];

qb.insert_batch('db_engines', data, (err, res) => {
    if (err) throw err;

    // INSERT INTO `db_engines` (`name`, `version`)
    // VALUES ('MySQL', '5.5.40'), ('Mongo', '2.6.7'), ('Postgres', '8.4');
    console.log(qb.last_query());
});

.insert_ignore(table,data[,on_dupe],callback)

This method is just a wrapper to the insert() method which passes true to the ignore parameter. The purpose of using IGNORE syntax, for the drivers that support it, is so that a row insertion will be skipped if it's an exact duplicate of another row in the database. Optionally, you can provide a 3rd paramter containing a query that will update specified keys in the case of a duplicate entry (instead of simply ignoring it). With the third parameter, you can create an 'upsert' of sorts. Without the third parameter, it's essentially just "ignoring" errors, or, rather, converting them to simple warnings.

Type of Response Sent to Callback

Object containing information about the result of the query.

Example

/*
 * Current Table Structure:
 *
 * [
 *        {name: 'MySQL', version: '5.5.40', last_modified: 1423252221 },
 *        {name: 'Mongo', version: '2.6.7',  last_modified: 1423252232 },
 *        {name: 'Postgres', version: '8.4', last_modified: 1423252248 }
 *    ]
 */

const qb = require('node-querybuilder').QueryBuilder(settings, 'mysql');
const data = {name: 'Postgres', version: '8.4'};
qb.insert_ignore('db_engines', data, (err, res) => {
    if (err) throw err;

    // INSERT IGNORE INTO `db_engines` (`name`, `version`) VALUES ('Postgres', '8.4');
    console.log(qb.last_query());

    // 0 (because this data already exists...)
    console.log(res.affected_rows);
});

This time we'll do it with an on_dupe string

const data = {name: 'Postgres', version: '8.4'};
qb.insert_ignore('db_engines', data, 'ON DUPLICATE KEY UPDATE last_modified = NOW()', (err, res) => {
    if (err) throw err;

    // INSERT IGNORE INTO `db_engines` (`name`, `version`) VALUES ('Postgres', '8

Published

Vulnerabilities

Links

Maintainers

Keywords

Readme

Universal QueryBuilder for Node.js

Table of Contents

Database Drivers

Currently Written:

Coming Soon:

How to install

License Info

Quick Example

Connecting to Your Database

Quick Reference

Standard Connection Settings

Choosing the Database Type

Choosing the Connection Type

API Methods

Chainable Methods

SELECT

.select(fields[,escape])

DISTINCT

.distinct()

MIN

.select_min(field[,alias])

MAX

.select_max(field[,alias])

AVG

.select_avg(field[,alias])

SUM

.select_sum(field[,alias])

FROM

.from(tables)

JOIN

.join(table,relation[,direction])

WHERE

.where(field[,value[,escape]])

.or_where(field[,value[,escape]])

.where_in(field,values[,escape])

.or_where_in(field,values[,escape])

.where_not_in(field,values[,escape])

.or_where_not_in(field,values[,escape])

LIKE

.like(field,match[,side])

.or_like(field,match[,side])

.not_like(field,match[,side])

.or_not_like(field,match[,side])

GROUP BY

.group_by(fields)

HAVING

.having(field,value)

.or_having(field[,value[,escape]])

ORDER BY

.order_by(field[,direction])

LIMIT

.limit(limit_to,offset)

OFFSET

.offset(offset)

SET

.set(key[, value[, escape]])

Execution Methods

What are "Execution Methods"??

Handling Error Messages and Results

Response Format Examples

Callback Example

Using the Same Connection Pool Connection for Successive Calls

.query(query_string,callback)

.get([table,]callback)

.get_where(table,where,callback)

.count([table,]callback)

.update(table,data[,where],callback)

.update_batch(table,dataset,index[,where],callback)

.insert(table,data[,ignore[,on_dupe]],callback)

.insert_batch(table,dataset[,ignore[,on_dupe]],callback)

.insert_ignore(table,data[,on_dupe],callback)