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qb is a fluent query builder for CFML. It is heavily inspired by Eloquent from Laravel.
Using qb, you can:
Quickly scaffold simple queries
Make complex, out-of-order queries possible
Abstract away differences between database engines
Adobe ColdFusion 2018+
Lucee 5+
qb supports four major database grammars:
MySQL (MySQLGrammar@qb)
Oracle (OracleGrammar@qb)
Postgres (PostgresGrammar@qb)
Microsoft SQL Server (SqlServerGrammar@qb)
SQLite (SQLiteGrammar@qb)
The Box modules discussion group and community can be found here:
https://community.ortussolutions.com/c/box-modules/qb/27
Installation is easy through CommandBox and ForgeBox. Simply type box install qb to get started.
Compare these two examples:
// Plain old CFML
var results = queryExecute( "SELECT * FROM users" );
// qb
var qb = wirebox.getInstance( "QueryBuilder@qb" );
var results = qb.from( "users" ).get();The differences become even more stark when we introduce more complexity:
// Plain old CFML
var results = queryExecute(
"SELECT * FROM posts WHERE published_at IS NOT NULL AND author_id IN ?",
[ { value = "5,10,27", cfsqltype = "CF_SQL_NUMERIC", list = true } ]
);
// qb
var qb = wirebox.getInstance( "QueryBuilder@qb" );
var results = qb.from( "posts" )
.whereNotNull( "published_at" )
.whereIn( "author_id", [ 5, 10, 27 ] )
.get();With qb you can easily handle setting order by statements before the columns you want or join statements after a where clause:
var qb = wirebox.getInstance( "QueryBuilder@qb" );
var results = qb.from( "posts" )
.orderBy( "published_at" )
.select( "post_id", "author_id", "title", "body" )
.whereLike( "author", "Ja%" )
.join( "authors", "authors.id", "=", "posts.author_id" )
.get();
// Becomes
var results = queryExecute(
"SELECT post_id, author_id, title, body FROM posts INNER JOIN authors ON authors.id = posts.author_id WHERE author LIKE ? ORDER BY published_at",
[ { value = "Ja%", cfsqltype = "CF_SQL_VARCHAR", list = false, null = false } ]
);qb enables you to explore new ways of organizing your code by letting you pass around a query builder object that will compile down to the right SQL without you having to keep track of the order, whitespace, or other SQL gotchas!
Here's a gist with an example of the powerful models you can create with this! https://gist.github.com/elpete/80d641b98025f16059f6476561d88202
To start a new query, instantiate a new Builder: wirebox.getInstance( "QueryBuilder@qb" ).
By default, qb uses a generic Grammar. You can specify your specific grammar in ColdBox by setting the defaultGrammar in your moduleSettings.
moduleSettings = {
qb = {
defaultGrammar = "MySQLGrammar@qb"
}
};If you are not using WireBox, just make sure to wire up the Builder object with the correct grammar:
var grammar = new qb.models.Query.Grammars.MySQLGrammar();
var builder = new qb.models.Query.Builder( grammar );Available as an advanced option for framework authors, qb will call out to a column formatter prior to processing a column as part of the SQL query. This allows frameworks like Quick to define queries using aliases and transform them to columns during execution.
You can provide your own column formatter function to qb through the init method or by calling setColumnFormatter. It is a function that takes a column string and returns a string
query.setColumnFormatter( function( column ) {
return lcase( arguments.column );
} );At times you may need to duplicate a query. Using clone you have a performant way to duplicate a query without using the duplicate method.
var q1 = query.from( "users" ).where( "firstName", "like", "Jo%" );
var q2 = q1.clone();
q2.getFrom(); // "users"When you need to remove all configuration for a query, you can call the reset method.
var q1 = query.from( "users" ).where( "firstName", "like", "Jo%" );
var q2 = q1.reset();
q2.getColumns(); // "*"We welcome all types of contributions!
The most common type of contribution is to fix an incorrect SQL generation for a database grammar.
To debug what SQL is being ran, you can always call toSQL on any QueryBuilder or SchemaBuilder object. Additionally, you can listen to the preQBExecute interception point for the generated SQL.
Each of the database grammars have two tests — {Grammar}QueryBuilderSpec.cfc and {Grammar}SchemaBuilderSpec.cfc. These tests run the same qb syntax across the different grammars. In each test are methods that return SQL strings like so:
If you find an issue with the SQL generated from a grammar, please file a pull request with the correct SQL in these tests. It's okay if you don't submit a fix as well. (But we'd greatly appreciate it!) Doing so will help expedite the fix.
If you want to add support for a new database grammar, simply copy these two tests from an existing grammar, rename them, change the getBuilder method to return your new grammar, and fill out the SQL as it should be. That will guide your implementation to be 100% compatible with the other grammars in qb.
A SchemaBuilder instance can be put into pretend mode by calling the pretend method. In this mode, the SchemaBuilder will turn all query operations into no-ops. A log of the SQL that would have been executed can be retrieved from the query log.
Once a SchemaBuilder instance has been set to pretend mode, it cannot be unset. Instead, you will need to obtain a new SchemaBuilder instance.
Each instance of a SchemaBuilder maintains a log of queries it executed. This can be accessed by calling getQueryLog. This will return an array of structs like so:
This can be very useful in combination with the feature to see what SQL will be executed before actually executing it.
// MSSQLQueryBuilderSpec.cfc
function orWhere() {
// If just a string is returned, we assume the bindings is an empty array ([])
return {
sql = "SELECT * FROM [users] WHERE [id] = ? OR [email] = ?",
bindings = [ 1, "foo" ]
};
}// OracleSchemaBuilderSpec.cfc
function boolean() {
// returns an array since schema builder can execute multiple statements.
return [ "CREATE TABLE ""USERS"" (""ACTIVE"" NUMBER(1, 0) NOT NULL)" ];
}[
{
"sql": "CREATE TABLE `users` (`id` INT PRIMARY KEY AUTO_INCREMENT, `email` VARCHAR NOT NULL)",
"bindings": [],
"options": { "datasource": "main" },
"returnObject": "array",
"pretend": false,
"result": {},
"executionTime": 21
}
]Raw expressions are the qb escape hatch. While qb strives to provide ways to execute the majority of queries, you will occasionally need to provide raw sql values that are not processed by qb. These SQL snippets are called raw or Expressions in qb.
raw expressions are useful, but shoud be used only if there is not another way to accomplish the same action using other qb methods. This is because a raw expression has the potential to use syntax specific to one database grammar or another, preventing you from easily switching from one grammar to another, one of the major benefits of using qb.
The first way to retrieve an Expression is to call the raw method on the QueryBuilder object.
Name
Type
Required
Default
Description
sql
string
true
The raw sql to wrap up in an Expression.
The sql snippet passed to raw is not processed by qb at all. With that in mind, it is important to follow all best practices and security recommendations with the sql you use with raw.
query.from( "users" ).select( query.raw( "MAX(created_date)" ) );
SELECT MAX(created_date) FROM `users`
Expressions can be passed to most qb methods, like select, from, where, or orderBy, among others. Additionally, qb provides some convenience methods to add raw values in different parts of the query:
returnFormat refers to the transformation your executed query makes (if any) before being returned to you. You can choose one of three return formats:
"array"
"query"
"none"
A custom function
By default, qb returns an array of structs as the result of your query. This is the same as specifying array as your returnFormat:
moduleSettings = {
"qb": {
"returnFormat": "array"
}
};You can get the original query object that CFML generates by setting the returnFormat to query:
moduleSettings = {
"qb": {
"returnFormat": "query"
}
};This setting can be overridden on a per-instance basis by calling setReturnFormat():
var qb = wirebox.getInstance( "QueryBuilder@qb" );
qb
.setReturnFormat( 'query' )
.from( 'users' )
.get()If you want complete control over your return result, you can provide a function as a returnFormat. The results of the function will be returned as the results of the builder.
moduleSettings = {
"qb": {
"returnFormat": function( q ) {
return application.wirebox.getInstance(
"name" = "Collection",
"initArguments" = { "collection": q }
);
}
}
};A query builder is a stateful, transient object. That means that if you want to execute two different queries, you need two separate instances of QueryBuilder.
As such, be careful when injecting QueryBuilder in to a component. If the component is a singleton, you will need to create the QueryBuilder inline or use a provider. This applies to ColdBox handlers as well.
While the above may seem innoculous, it can run in to issues as multiple requests come in to your application. Each request is sharing the same query builder instance and subsequent requests will have unintended results as the where clause keeps growing request after request.
The solution is to either create the QueryBuilder inline, ensuring that each request has its own query to execute:
Or to use a WireBox provider to create a new query each time it is accessed:
One caveat when using a WireBox Provider: WireBox Providers proxy methods on to a new instance of the provided mapping on all methods except get. get is a method on the Provider itself. If you call get as the first method on a Provider it will return a new instance of QueryBuilder, not execute the query. In those (rare) cases you will need to call query.get().get().
Once you have access to a QueryBuilder instance, you can create a new query using the same datasource, utils, returnFormat, paginationCollector, columnFormatter, and defaultOptions as the current QueryBuilder instance.
If you store the builder object in a variable, you can use if and else statements like you would expect.
This works, but breaks chainability. To keep chainability you can use the when helper method.
whenThe when helper is used to allow conditional statements when defining queries without using if statements and having to store temporary variables.
You can pass a third argument to be called in the else case.
when callbacks are automatically scoped and grouped. That means that if a where clause is added inside the callback with an OR combinator the clauses will automatically be grouped (have parenthesis put around them.) You can disable this feature by passing withoutScoping = true to the when callback.
Two interception points are available from QB: preQBExecute and postQBExecute. These fire before and after the queryExecute call, respectively.
The following information is available in the interceptData struct:
The following information is available in the interceptData struct:
// This will cause you pain and grief...
var user = query.from( "users" )
.where( "username", rc.username )
.first();
var posts = query.from( "posts" ).get();
// This will error because `username` is not a column in `posts`.component {
property name="query" inject="QueryBuilder@qb";
function create( event, rc, prc ) {
// This will cause you pain and grief...
query.table( "posts" )
.where( "id", rc.id )
.update( event.getOnly( [ "body" ] ) );
}
}component {
function create( event, rc, prc ) {
getInstance( "QueryBuilder@qb" )
.table( "posts" )
.where( "id", rc.id )
.update( event.getOnly( [ "body" ] ) );
}
}component {
property name="query" inject="provider:QueryBuilder@qb";
function create( event, rc, prc ) {
query.table( "posts" )
.where( "id", rc.id )
.update( event.getOnly( [ "body" ] ) );
}
}// This will cause you pain and grief...
var user = query.from( "users" )
.where( "username", rc.username )
.first();
var posts = query.newQuery().from( "posts" ).get();
// This will work as we expect it to.var q = query.from( "posts" );
if ( someFlag ) {
q.orderBy( "published_date", "desc" );
}Name
Type
Required
Default
Description
condition
boolean
true
The condition to switch on.
onTrue
Function
true
The callback to execute if the condition is true. It is passed the builder object as the only parameter.
onFalse
Function
false
function( q ) { return q; }
The callback to execute if the conditions is false. It is passed the builder object as the only parameter.
withoutScoping
boolean
false
false
Flag to turn off the automatic scoping of where clauses during the callback.
query.from( "posts" )
.when( someFlag, function( q ) {
q.orderBy( "published_date", "desc" );
} )
.get();query.from( "posts" )
.when(
someFlag,
function( q ) {
q.orderBy( "published_date", "desc" );
},
function( q ) {
q.orderBy( "modified_date", "desc" );
}
);qb.from( "users" )
.where( "active", 1 )
.when( len( url.q ), function( q ) {
q.where( "username", "LIKE", q & "%" )
.orWhere( "email", "LIKE", q & "%" );
} );SELECT *
FROM "users"
WHERE "active" = ?
AND (
"username" = ?
OR "email" = ?
)Name
Type
Description
sql
String
The SQL string to execute.
bindings
Struct
The struct of bindings (keys and values) for the query.
options
Struct
Any options to pass along to queryExecute.
returnObject
String
The type to return: query or result.
Name
Type
Description
sql
String
The SQL string to execute.
bindings
Struct
The struct of bindings (keys and values) for the query.
options
Struct
Any options to pass along to queryExecute.
returnObject
String
The type to return: query or result.
query
Query | null
The query object or null if there isn't one.
result
Struct
The query result struct.
Dropping tables straightforward in qb.
For dropping columns or constraints, see Alter.
Drop a table from the database.
Argument
Type
Required
Default
Description
table
string
true
The name of the table to drop.
options
struct
false
{}
Options to pass to queryExecute.
execute
boolean
false
true
Run the query immediately after building it.
Example:
SchemaBuilder
schema.drop( "user_logins" );SQL (MySQL)
DROP TABLE `user_logins`Drop a table from the database if it exists.
Argument
Type
Required
Default
Description
table
string
true
The name of the table to drop.
options
struct
false
{}
Options to pass to queryExecute.
execute
boolean
false
true
Run the query immediately after building it.
Example:
SchemaBuilder
schema.dropIfExists( "user_logins" );SQL (MySQL)
DROP TABLE IF EXISTS `user_logins`Passing a single string will group by that one column.
You can also pass a list of column names. A single comma (",") will be used as the delimiter.
An array of column names can be provided.
Calling groupBy multiple times will to the current groups.
An can be passed in place of a column.
Adds a having clause to a query.
Expressions can be used in place of the column or the value.
Installation is easy through and . Simply type box install qb to get started.
To start a new query, instantiate a new Builder: wirebox.getInstance('QueryBuilder@qb').
By default, qb uses a generic Grammar. You can specify your specific grammar in ColdBox by setting the defaultGrammar in your moduleSettings.
The grammars provided by qb are:
MySQLGrammar
OracleGrammar
PostgresGrammar
SqlServerGrammar
SQLiteGrammar
If you are not using WireBox, make sure to wire up the Builder object with the correct grammar:
Here are the full configuration settings you can use in the module settings:
QB binds all parameters by default and guesses the SQL type based on passed values. The default SQL type for numeric values is CF_SQL_NUMERIC, which is a floating point number, for the widest compatibility. This can cause performance problems with large recordsets in some database engines. You can provide a different default in coldbox.cfc if you wish to override this setting:
Note: These instructions assume a basic knowledge of FW/1, a working FW/1 application structure with qb installed in the
/subsystemsdirectory (manually or via CommandBox), and a database configured to run with your application.
Once the application structure is setup, now we need to wire up qb to a bean factory using DI/1.
First we will add a mapping in Application.cfc.
Next we need to tell DI/1 where qb's components are and how to reference them for later use in the application. We can do so by defining the configuration settings in the variables.framework.subsystems struct in Application.cfc. The example below makes use of a load listener to declare each component instance and pass in any constructor arguments.
Now that everything is configured, you can launch your application with CommandBox by entering start in the terminal or use whatever method you're accustomed to.
To access qb from your application's code, you can call on it by using getBeanFactory().
Each query execution method allows for the passing of an options struct. This is the same struct you would pass to .
qb allows you to specify default options when creating the QueryBuilder instance using the defaultOptions argument.
You can set defaultOptions for the default QueryBuilder (QueryBuilder@qb) in your config/ColdBox.cfc file under moduleSettings.
You can also combine this with WireBox to create custom QueryBuilder instances pointing to different datasources and even different grammars.
In Application.cfc you can specify your default datasource which will be used by qb. If you want to retrieve data from other datasources you can specify this in all retrieval functions by using the extra options parameter such as:
If you also want to use a non-default SQL Grammar you have to specify this when creating your QueryBuilder.
qb can inline the query bindings into the SQL string that it has built up. This is used by other tools like or to provide a richer debugging experience. It is also publicly available for other libraries to use, such as .
Replace the question marks (?) in a sql string with the bindings provided.
This method allows you to create a table object.
The majority of the work comes from calling methods on the Blueprint object. A Blueprint defines the and for your tables.
Example:
This would convert to the following SQL in MySQL:
Only one table can be created at a time. If you wanted to create multiple tables, you would call create multiple times.
The callback argument is where you define the schema of your table. It is passed a Blueprint object. This is commonly aliased as table in the callback. Blueprint defines the field, index and constraint methods to build your table. You can find a comprehensive list of all available methods here for and here for .
Name
Type
Required
Default
Description
groups
string | array
true
A single column name, a list of column names, or an array of column names to group by. An Expression can be passed as well.
query.from( "users" )
.groupBy( "country" );SELECT *
FROM `users`
GROUP BY `country`query.from( "users" )
.groupBy( "country,city" );SELECT *
FROM `users`
GROUP BY `country`, `city`query.from( "users" )
.groupBy( [ "country", "city" ] );SELECT *
FROM `users`
GROUP BY `country`, `city`query.from( "users" )
.groupBy( "country" )
.groupBy( "city" );SELECT *
FROM `users`
GROUP BY `country`, `city`query.from( "users" )
.groupBy( query.raw( "DATE(created_at)" ) );SELECT *
FROM `users`
GROUP BY DATE(created_at)Name
Type
Required
Default
Description
column
string | Expression
true
The name of the column or Expression with which to constrain the query.
operator
any
false
The operator to use for the constraint (i.e. "=", "<", ">=", etc.). A value can be passed as the operator and the value left null as a shortcut for equals (e.g. where( "column", 1 ) == where( "column", "=", 1 ) ).
value
any
false
The value with which to constrain the column. An Expression can be passed as well.
combinator
string
false
"and"
The boolean combinator for the clause. Valid options are "and" or "or". Avoid passing this parameter explicitly. Where possible use the andHaving and orHaving methods instead.
query.from( "users" )
.groupBy( "email" )
.having( "email", ">", 1 );SELECT *
FROM `users`
GROUP BY `email`
HAVING `email` > ?query.from( "users" )
.groupBy( "email" )
.having( query.raw( "COUNT(email)" ), ">", 1 );SELECT *
FROM `users`
GROUP BY `email`
HAVING COUNT(email) > ?moduleSettings = {
qb = {
defaultGrammar = "MySQLGrammar@qb"
}
};var grammar = new qb.models.Grammars.MySQLGrammar();
var builder = new qb.models.Query.QueryBuilder( grammar );moduleSettings = {
qb : {
"defaultGrammar": "AutoDiscover@qb",
"defaultReturnFormat": "array",
"preventDuplicateJoins": false,
"strictDateDetection": true,
"numericSQLType": "CF_SQL_NUMERIC",
"integerSQLType": "CF_SQL_INTEGER",
"decimalSQLType": "CF_SQL_DECIMAL",
"autoAddScale": true,
"autoDeriveNumericType": true,
"defaultOptions": {},
"sqlCommenter": {
"enabled": false,
"commenters": [
{ "class": "FrameworkCommenter@qb", "properties": {} },
{ "class": "RouteInfoCommenter@qb", "properties": {} },
{ "class": "DBInfoCommenter@qb", "properties": {} }
]
},
"shouldMaxRowsOverrideToAll": function( maxRows ) {
return maxRows <= 0;
}
}
}moduleSettings = {
qb = {
defaultGrammar = "MySQLGrammar@qb",
numericSQLType = "CF_SQL_BIGINT"
}
};this.mappings = {
"/qb" = expandPath("./subsystems/qb")
};qb = {
diLocations = "/qb/models",
diConfig = {
loadListener = function( di1 ) {
di1.declare( "BaseGrammar" ).instanceOf( "qb.models.Query.Grammars.Grammar" ).done()
.declare( "MySQLGrammar" ).instanceOf( "qb.models.Query.Grammars.MySQLGrammar" ).done()
.declare( "QueryUtils" ).instanceOf( "qb.models.Query.QueryUtils" ).done()
.declare( "QueryBuilder" ).instanceOf( "qb.models.Query.QueryBuilder" )
.withOverrides({
grammar = di1.getBean( "MySQLGrammar" ),
utils = di1.getBean( "QueryUtils" ),
returnFormat = "array"
})
.asTransient();
}
}
}// Create an instance of qb
builder = getBeanFactory( "qb" ).getBean( "QueryBuilder" );
// Query the database
posts = builder.from( "Posts" ).get();
posts = builder.from( "Posts" ).where( "IsDraft", "=", 0 ).get();moduleSettings = {
"qb": {
"defaultOptions": {
"timeout": 60
}
}
};component {
function afterAspectsLoad() {
binder.map( "MyCustomQueryBuilder" )
.to( "qb.models.Query.QueryBuilder" )
.initArg( name = "grammar", ref = "AutoDiscover@qb" )
.initArg( name = "defaultOptions", value = {
"datasource": "my_custom_datasource"
} );
}
}query.from( "users" )
.get( options = { datasource: "MyOtherDatasourceName" } );var query = wirebox.getInstance( "QueryBuilder@qb" )
.setGrammar( wirebox.getInstance( "SqlServerGrammar@qb" ) );sql
String
true
The SQL with question marks (?) to replace with bindings.
bindings
Array<Struct>
true
The bindings to use when replacing the question marks (?) in the provided SQL string.
inline
boolean
false
false
Flag to inline the bindings value or not. If true, a SQL-executable value will be replaced. If false, the binding struct will be replaced.
Argument
Type
Required
Default
Description
table
string
true
The name of the table to create.
callback
function
true
A callback function used to define the table body. It is passed a Blueprint as the only argument.
options
struct
false
{}
Options to pass to queryExecute.
execute
boolean
false
true
Run the query immediately after building it.
schema.create( "users", function( table ) {
table.increments( "id" );
table.string( "email" );
table.string( "password" );
table.timestamp( "created_date" );
table.timestamp( "modified_date" );
table.timestamp( "last_logged_in" ).nullable();
} );CREATE TABLE `users` (
`id` INTEGER(10) UNSIGNED NOT NULL AUTO_INCREMENT,
`email` VARCHAR(255) NOT NULL,
`password` VARCHAR(255) NOT NULL,
`created_date` TIMESTAMP NOT NULL,
`modified_date` TIMESTAMP NOT NULL,
`last_logged_in` TIMESTAMP,
CONSTRAINT `pk_users_id` PRIMARY KEY (`id`)
)When passing a parameter to qb, it will infer the sql type to be used. If you pass a number, CF_SQL_NUMERIC will be used. If it is a date, CF_SQL_TIMESTAMP, and so forth. If you need more control, you can pass a struct with the parameters you would pass to cfqueryparam.
You can pass include any parameters you would use with cfqueryparam including null, list, etc. This applies anywhere parameters are used including where, update, and insert methods.
query.from( "users" )
.where( "id", "=", { value = 18, cfsqltype = "CF_SQL_VARCHAR" } );SELECT *
FROM `users`
WHERE `id` = ?This can be used when inserting or updating records as well.
query.table( "users" )
.insert( {
"id" = { value 1, cfsqltype = "CF_SQL_VARCHAR" },
"age" = 18,
"updatedDate" = { value = now(), cfsqltype = "CF_SQL_DATE" }
} );INSERT INTO `users`
(`id`, `age`, `updatedDate`)
VALUES
(?, ?, ?)By default, qb will try to determine if a variable is a date using the built-in isDate function. This can have some interesting effects with different formatted strings. You can opt in to stricter date detection which will check the underlying Java class of the value to determine if the value is a date. This is more accurate, but does require you to specifically pass date instances instead of strings. For this reason, it is currently opt-in to not break existing applications. It is likely to become the default in the next major version of qb.
You can opt in to stricter date detection by setting strictDateDetection = true in your moduleSettings in config/ColdBox.cfc.
moduleSettings = {
"qb": {
"strictDateDetection": true
}
};By default, qb will use the CF_SQL_NUMERIC SQL type when it detects a numeric binding. You can specify your own default SQL type to use with numeric values using the numericSQLType setting in your moduleSettings in config/ColdBox.cfc.
moduleSettings = {
"qb": {
"numericSQLType": "CF_SQL_INTEGER"
}
};There is an opt-in feature to better derive the numeric SQL type for database performance reasons. If you do opt in to this, qb will use a different SQL type for integers than decimals. You can opt in to this feature using the autoDeriveNumericType setting and can customize the SQL types by setting the integerSqlType and decimalSqlType settings.
moduleSettings = {
"qb": {
"autoDeriveNumericType": true,
"integerSqlType": "CF_SQL_INTEGER",
"decimalSqlType": "CF_SQL_DECIMAL"
}
};In some combinations of database grammars and CFML engines, the scale argument on a cfqueryparam would default to 0. This would cause issues when attempting to insert a floating point number, even when using the correct SQL type (i.e., CF_SQL_DECIMAL) . In 8.5.0, qb now automatically calculates a scale based on the value provided if the value is a floating point number. This can be disabled by setting autoAddScale in your ColdBox config or passing autoAddScale = false when instantiating your QueryBuilder instance.
Bindings are the values that will be sent as parameters to a prepared SQL statement. This protects you from SQL injection. In CFML, this uses cfqueryparam to parameterize the values.
If you need to inspect the bindings for the current query you can retrieve them in order using the getBindings method.
Use these methods only for debugging. Modifying the bindings directly will likely cause issues when executing your query. Adding or removing bindings should be done using the public API.
Name
Type
Required
Default
Description
No arguments
This method returns the current bindings in order to be used for the query.
query.from( "users" )
.join( "logins", function( j ) {
j.on( "users.id", "logins.user_id" );
j.where( "logins.created_date", ">", dateAdd( "m", -1, "01 Jun 2019" ) );
} )
.where( "active", 1 );[
{ value = "01 May 2019", cfsqltype = "CF_SQL_TIMESTAMP" },
{ value = 1, cfsqltype = "CF_SQL_NUMERIC" }
]You can also retrieve the bindings associated to their corresponding types.
Name
Type
Required
Default
Description
No arguments
This method returns the current bindings to be used for the query associated to their corresponding types.
query.from( "users" )
.join( "logins", function( j ) {
j.on( "users.id", "logins.user_id" );
j.where( "logins.created_date", ">", dateAdd( "m", -1, "01 Jun 2019" ) );
} )
.where( "active", 1 );{
"commonTables" = [],
"select" = [],
"join" = [
{ value = "01 May 2019", cfsqltype = "CF_SQL_TIMESTAMP" },
],
"where" = [
{ value = 1, cfsqltype = "CF_SQL_NUMERIC" }
],
"union" = [],
"insert" = [],
"insertRaw" = [],
"update" = []
};A TableIndex can be created directly from a Blueprint or from a existing Column. The TableIndex includes methods for further configuring the index which is required when defining foreign keys.
Set the referencing column for a foreign key relationship. For example, id for a country_id column.
Argument
Type
Required
Default
Description
columns
any
true
A column or array of columns that represents the foreign key reference.
Example:
SchemaBuilder
schema.create( "users", function( table ) {
table.unsignedInteger( "country_id" ).references( "id" ).onTable( "countries" );
} );SQL (MySQL)
CREATE TABLE `users` (
`country_id` INTEGER UNSIGNED NOT NULL,
CONSTRAINT `fk_users_country_id` FOREIGN KEY (`country_id`) REFERENCES `countries` (`id`) ON UPDATE NO ACTION ON DELETE NO ACTION
)Sets the referencing table for a foreign key relationship. For example, countries for a country_id column.
Argument
Type
Required
Default
Description
table
string
true
The referencing table name.
Example:
SchemaBuilder
schema.create( "users", function( table ) {
table.unsignedInteger( "country_id" ).references( "id" ).onTable( "countries" );
} );SQL (MySQL)
CREATE TABLE `users` (
`country_id` INTEGER UNSIGNED NOT NULL,
CONSTRAINT `fk_users_country_id` FOREIGN KEY (`country_id`) REFERENCES `countries` (`id`) ON UPDATE NO ACTION ON DELETE NO ACTION
)Set the strategy for updating foreign keys when the parent key is updated.
Argument
Type
Required
Default
Description
option
string
true
The strategy to use. Available values are: RESTRICT, CASCADE, SET NULL, NO ACTION, SET DEFAULT
Example:
SchemaBuilder
schema.create( "users", function( table ) {
table.unsignedInteger( "country_id" )
.references( "id" )
.onTable( "countries" )
.onUpdate( "CASCADE" );
} );SQL (MySQL)
CREATE TABLE `users` (
`country_id` INTEGER UNSIGNED NOT NULL,
CONSTRAINT `fk_users_country_id` FOREIGN KEY (`country_id`) REFERENCES `countries` (`id`) ON UPDATE CASCADE ON DELETE NO ACTION
)Set the strategy for updating foreign keys when the parent key is deleted.
Argument
Type
Required
Default
Description
option
string
true
The strategy to use. Available values are: RESTRICT, CASCADE, SET NULL, NO ACTION, SET DEFAULT
Example:
SchemaBuilder
schema.create( "users", function( table ) {
table.unsignedInteger( "country_id" )
.references( "id" )
.onTable( "countries" )
.onDelete( "SET NULL" );
} );SQL (MySQL)
CREATE TABLE `users` (
`country_id` INTEGER UNSIGNED NOT NULL,
CONSTRAINT `fk_users_country_id` FOREIGN KEY (`country_id`) REFERENCES `countries` (`id`) ON UPDATE NO ACTION ON DELETE SET NULL
)Used to set the base table for the query.
You can optionally specify an alias for the table.
An alias for from where you like how calling table looks.
Sometimes you need more control over your from clause in order to add grammar specific instructions, such as adding SQL Server table hints to your queries.
Since the fromRaw() takes your string verbatim, it's important that you make sure your SQL declaration is escaped properly. Failure to properly escape your table names may result in SQL errors.
Using fromRaw will most likely tie your code to a specific database, so think carefully before using the fromRaw method if you want your project to be database agnostic.
Many database engines allow you to define User Defined Functions. For example, SQL Server allows you to define UDFs that will return a table. In these type of cases, it may be necessary to bind parameters to your from clause.
You can bind parameters to the fromRaw() method by passing a secondary argument that is an array of the parameters to bind.
Complex queries often contain derived tables. Derived tables are essentially a temporal table defined as a subquery in the from statement.
In additional a function callback, a separate QueryBuilder instance can be passed to the fromSub method.
Sets the limit value for the query.
Sets the limit value for the query. Alias for .
Sets the offset value for the query.
Helper method to calculate the limit and offset given a page number and count per page.
This method combines forPage, count, and get to create a pagination struct alongside the results. Information on the simplePaginate or paginate methods, including custom pagination collectors, can be found in the section of the documentation.
Name
Type
Required
Default
Description
from
string | Expression
true
The name of the table or a Expression object from which the query is based.
query.from( "users" );SELECT * FROM `users`query.from( "users as u" );SELECT * FROM `users` AS `u`Name
Type
Required
Default
Description
table
string | Expression
true
The name of the table or a Expression object from which the query is based.
query.table( "users" ).insert( { "name" = "jon" } );INSERT INTO `users` (`name`) VALUES (?)Name
Type
Required
Default
Description
from
string
true
The sql snippet to use as the table.
bindings
array
false
[]
Any bindings needed for the expression.
query.fromRaw( "[users] u (nolock)" ).get();SELECT * FROM [users] u (nolock) query.fromRaw(
"dbo.generateDateTable(?, ?, ?) as dt",
[ "2017-01-01", "2017-12-31", "m" ]
).get();SELECT * FROM dbo.generateDateTable(?, ?, ?) as dtName
Type
Required
Default
Description
alias
string
true
The alias for the derived table.
input
Function | QueryBuilder
true
Either a QueryBuilder instance or a closure to define the derived query.
query.select( [ "firstName", "lastName" ] )
.fromSub( "legalUsers", function ( q ) {
q.select( [ "lName as lastName", "fName as firstName" ] )
.from( "users" )
.where( "age", ">=", 21 )
;
} )
.orderBy( "lastName" )
.get()SELECT `firstName`, `lastName`
FROM (
SELECT `lName` as `lastName`, `fName` as `firstName`
FROM `users`
WHERE `age` >= 21
) AS `legalUsers`
ORDER BY `lastName`var legalUsersQuery = query
.select( [ "lName as lastName", "fName as firstName" ] )
.from( "users" )
.where( "age", ">=", 21 );
query.select( [ "firstName", "lastName" ] )
.fromSub( "legalUsers", legalUsersQuery )
.orderBy( "lastName" )
.get();SELECT `firstName`, `lastName`
FROM (
SELECT `lName` as `lastName`, `fName` as `firstName`
FROM `users`
WHERE `age` >= 21
) AS `legalUsers`
ORDER BY `lastName`Name
Type
Required
Default
Description
value
numeric
true
The limit value for the query.
query.from( "users" )
.limit( 5 );SELECT *
FROM `users`
LIMIT 5Name
Type
Required
Default
Description
value
numeric
true
The limit value for the query.
query.from( "users" )
.take( 5 );SELECT *
FROM `users`
LIMIT 5Name
Type
Required
Default
Description
value
numeric
true
The offset value for the query.
query.from( "users" )
.offset( 25 );SELECT *
FROM `users`
OFFSET 25Name
Type
Required
Default
Description
page
numeric
true
The page number to retrieve.
maxRows
numeric
true
The number of records per page. If a number less than 0 is passed, 0 is used instead.
query.from( "users" )
.forPage( 3, 15 );SELECT *
FROM `users`
LIMIT 15
OFFSET 30Name
Type
Required
Default
Description
showBindings
boolean | string
false
false
If true, the bindings for the query will be substituted back in where the question marks (?) appear as cfqueryparam structs. If inline, the binding value will be substituted back creating a query that can be copy and pasted to run in a SQL client.
Returns the SQL that would be executed for the current query.
var q = query.from( "users" )
.where( "active", "=", 1 );
writeOutput( q.toSQL() );SELECT * FROM "users" WHERE "active" = ?The bindings for the query are represented by question marks (?) just as when using queryExecute. qb can replace each question mark with the corresponding cfqueryparam-compatible struct by passing showBindings = true to the method.
var q = query.from( "users" )
.where( "active", "=", 1 );
writeOutput( q.toSQL( showBindings = true ) );SELECT * FROM "users" WHERE "active" = {"value":1,"cfsqltype":"CF_SQL_NUMERIC","null":false}If you want to show the SQL that would be executed for the update, insert, updateOrInsert, or delete methods, you can pass a toSQL = true flag to those methods. Please see those individual methods for more information.
To get back a SQL string that can be copied and pasted into a SQL client to run can be retrieved by passing showBindings = "inline".
var q = query.from( "users" )
.where( "active", "=", 1 );
writeOutput( q.toSQL( showBindings = "inline" ) );SELECT * FROM "users" WHERE "active" = 1Name
Type
Required
Default
Description
callback
Function
true
A function to execute with a clone of the current query.
Executes a callback with a clone of the current query passed to it. Any changes to the passed query is ignored and the original query returned.
While not strictly a debugging method, tap makes it easy to see the changes to a query after each call without introducing temporary variables.
query.from( "users" )
.tap( function( q ) {
writeOutput( q.toSQL() & "<br>" );
} )
.where( "active", "=", 1 )
.tap( function( q ) {
writeOutput( q.toSQL() & "<br>" );
} );SELECT * FROM "users"
SELECT * FROM "users" WHERE "active" = ?Name
Type
Required
Default
Description
showBindings
boolean | string
false
false
If true, the bindings for the query will be substituted back in where the question marks (?) appear as cfqueryparam structs. If inline, the binding value will be substituted back creating a query that can be copy and pasted to run in a SQL client.
A shortcut for the most common use case of tap. This forwards on the SQL for the current query to writeDump. You can pass along any writeDump argument to dump and it will be forward on. Additionally, the showBindings argument will be forwarded on to the toSQL call.
query.from( "users" )
.dump()
.where( "active", "=", 1 )
.dump( label = "after where", showBindings = true, abort = true )
.get();SELECT * FROM "users"
SELECT * FROM "users" WHERE "active" = ?A QueryBuilder instance can be put into pretend mode by calling the pretend method. In this mode, the QueryBuilder will turn all query operations into no-ops. A log of the SQL that would have been executed can be retrieved from the query log.
Once a QueryBuilder instance has been set to pretend mode, it cannot be unset. Instead, you will need to obtain a new query.
Each instance of a QueryBuilder maintains a log of queries it executed. This can be accessed by calling getQueryLog. This will return an array of structs like so:
[
{
"sql": "SELECT * FROM `users` WHERE `active` = ?",
"bindings": [ { "value": 1, "sqltype": "bit" } ],
"options": { "datasource": "main" },
"returnObject": "array",
"pretend": false,
"result": {},
"executionTime": 21
}
]This can be very useful in combination with the pretend feature to see what SQL will be executed before actually executing it.
You can add contextual information as a comment to all executed queries using sqlCommenter, a specification from Google.
Starting in cbDebugger 2.0.0 you can view all your qb queries for a request. This is enabled by default if you have qb installed. Make sure your debug output is configured correctly and scroll to the bottom of the page to find the debug output.
qb is set to log all queries to a debug log out of the box. To enable this behavior, configure LogBox to allow debug logging from qb's grammar classes.
logbox = {
debug = [ "qb.models.Grammars" ]
};ColdBox Interception Points can also be used for logging, though you may find it easier to use LogBox. See the documentation for qb's Interception Points for more information.
The query builder also lets you create union statements on your queries using either UNION or UNION ALL strategies.
The union methods take either a Query Builder instance or a closure which you use to define a new QueryBuilder instance.
Union statements are added in the order in which the union methods are invoked, but the union statements can be in any order in your API call stack. This means you can safely declare your union method calls before the select, from and orderBy calls on the source Query Builder instance.
union() — This method builds a SQL statement using the UNION clause which combines two SQL queries into a single result set containing all the matching rows. The two queries must have the same defined columns and compatible data types or the SQL engine will generate an error. The union clause only returns unique rows.
unionAll() — This builds a SQL statement using the UNION ALL clause. This is the same as union but includes duplicate rows.
IMPORTANT: The QueryBuilder instances passed to a union statement cannot contain a defined order. Any use of the orderBy() method on the unioned QueryBuilder instances will result in an OrderByNotAllowedexception. To order the results, add an orderBy() call to the parent source Query Builder instance.
Adds a UNION statement to the query.
Adding multiple union statements will append it to the query.
It can also add union queries as QueryBuilder instances.
Adds a UNION ALL statement to the query.
Adding multiple unionAll statements will append it to the query.
It can also add union queries as QueryBuilder instances.
Name
Type
Required
Default
Description
input
Function | QueryBuilder
true
The function or QueryBuilder instance to use as the unioned query.
all
boolean
false
false
Determines if statement should be a "UNION ALL". Passing this as an argument is discouraged. Use the dedicated unionAll where possible.
query.from( "users" )
.select( "name" )
.where( "id", 1 )
.union( function ( q ) {
q.from( "users" )
.select( "name" )
.where( "id", 2 );
} );SELECT `name`
FROM `users`
WHERE `id` = ?
UNION
SELECT `name`
FROM `users`
WHERE `id` = ?query.from( "users" )
.select( "name" )
.where( "id", 1 )
.union( function ( q ) {
q.from( "users" )
.select( "name" )
.where( "id", 2 );
} )
.union( function ( q ) {
q.from( "users" )
.select("name")
.where( "id", 3 );
} );SELECT `name`
FROM `users`
WHERE `id` = ?
UNION
SELECT `name`
FROM `users`
WHERE `id` = ?
UNION
SELECT `name`
FROM `users`
WHERE `id` = ?var q1 = query.newQuery()
.from( "users" )
.select( "name" )
.where( "id", 2 );
var q2 = query.newQuery()
.from( "users" )
.select( "name" )
.where( "id", 3 );
query.from( "users" )
.select( "name" )
.where( "id", 1 )
.union( q1 )
.union( q2 );SELECT `name`
FROM `users`
WHERE `id` = ?
UNION
SELECT `name`
FROM `users`
WHERE `id` = ?
UNION
SELECT `name`
FROM `users`
WHERE `id` = ?Name
Type
Required
Default
Description
input
Function | QueryBuilder
true
The function or QueryBuilder instance to use as the unioned query.
query.from( "users" )
.select( "name" )
.where( "id", 1 )
.unionAll( function( q ) {
q.from( "users" )
.select( "name" )
.where( "id", 2 );
} );SELECT `name`
FROM `users`
WHERE `id` = ?
UNION ALL
SELECT `name`
FROM `users`
WHERE `id` = ?query.from( "users" )
.select( "name" )
.where( "id", 1 )
.unionAll( function( q ) {
q.from( "users" )
.select( "name" )
.where( "id", 2 );
} )
.unionAll( function( q ) {
q.from( "users" )
.select( "name" )
.where( "id", 3 );
} );SELECT `name`
FROM `users`
WHERE `id` = ?
UNION ALL
SELECT `name`
FROM `users`
WHERE `id` = ?
UNION ALL
SELECT `name`
FROM `users`
WHERE `id` = ?var q1 = query.newQuery()
.from( "users" )
.select( "name" )
.where( "id", 2 );
var q2 = query.newQuery()
.from( "users" )
.select( "name" )
.where( "id", 3 );
query.from( "users" )
.select( "name" )
.where( "id", 1 )
.unionAll( q1 )
.unionAll( q2 );SELECT `name`
FROM `users`
WHERE `id` = ?
UNION ALL
SELECT `name`
FROM `users`
WHERE `id` = ?
UNION ALL
SELECT `name`
FROM `users`
WHERE `id` = ?The query builder also provides a variety of aggregate methods such as count, max, min, and sum. These methods take the headache out of setting up these common aggregate functions.
When executing any of the aggregate functions, any where restrictions on your query will still be applied.
Instead of returning a query, these methods return a simple value.
Name
Type
Required
Default
Description
options
struct
false
{}
Any additional queryExecute options.
Returns true if the query returns any rows. Returns false otherwise.
query.from( "users" ).where( "username", "like", "jon%" ).exists();SELECT COUNT(*) AS aggregate
FROM `users` WHERE `username` LIKE 'jon%'Name
Type
Required
Default
Description
column
string
false
"*"
The column on which to count records.
options
struct
false
{}
Any additional queryExecute options.
Returns an integer number of rows returned by the query.
query.from( "users" ).count();SELECT COUNT(*) AS aggregate FROM `users`SELECT COUNT(*) FROM [users]Name
Type
Required
Default
Description
column
string
true
The column on which to find the max.
options
struct
false
{}
Any additional queryExecute options.
Returns the maximum value for the given column.
query.from( "users" ).max( "age" );SELECT MAX(age) AS aggregate FROM `users`Name
Type
Required
Default
Description
column
string
true
The column on which to find the min.
options
struct
false
{}
Any additional queryExecute options.
Returns the minimum value for the given column.
query.from( "users" ).min( "age" );SELECT MIN(age) AS aggregate FROM `users`Name
Type
Required
Default
Description
column
string
true
The column to sum.
options
struct
false
{}
Any additional queryExecute options.
Returns the sum of all returned rows for the given column.
query.from( "employees" ).sum( "salary" );SELECT SUM(salary) AS aggregate FROM `employees`Name
Type
Required
Default
Description
column
string
true
The column to sum.
options
struct
false
{}
Any additional queryExecute options.
Returns the sum of all returned rows for the expression.
query.from( "accounts" ).sumRaw( "netAdditions + netTransfers" )SELECT SUM(netAdditions + netTransfers) AS aggregate FROM `accounts`Name
Type
Required
Default
Description
asQuery
boolean
false
false
Flag to retrieve the columnList as a query instead of an array.
datasource
string
false
Optional datasource to from which to retrieve the columnList.
Retrieves the columns for the configured table.
query.from( "users" ).columnList();[ "id", "firstName", "lastName", "username", "email", "password" ]qb supports the sqlCommenter specification by Google for appending contextual information to executed queries.
sqlCommenter support is off by default, but can be activated by setting the sqlCommenter.enabled setting.
moduleSettings = {
"qb": {
"sqlCommenter": {
"enabled": true
}
}
};Once enabled, qb will append a comment on to every non-commented query. This happens as the query is ran, so you will not see this output when calling toSQL() or dump().
sqlCommenter will only add a comment to non-commented queries. If you query contains a comment anywhere in it, sqlCommenter will ignore it.
An example query with a sqlCommenter comment looks like this:
SELECT * FROM foo /*action='index',dbDriver='mysql-connector-java-8.0.25%20%28Revision%3A%2008be9e9b4cba6aa115f9b27b215887af40b159e0%29',event='Main.index',framework='coldbox-6.0.0',handler='Main',route='%2F'*/The default configuration structure for sqlCommenter is as follows:
settings = {
"sqlCommenter": {
"enabled": false,
"commenters": [
{ "class": "FrameworkCommenter@qb", "properties": {} },
{ "class": "RouteInfoCommenter@qb", "properties": {} },
{ "class": "DBInfoCommenter@qb", "properties": {} }
]
}
};When the enabled flag is false, no comments will be appended.
The commenters array are the different components that will add contextual information to each query. You define them by defining a struct with a class key pointing to a WireBox mapping and a properties key containing a struct of any necessary properties.
Each Commenter must implement the ICommenter interface. (The implements keyword is not required.). They will be called with the sql being commented and the current datasource. It should return a struct of key/value pairs that will become comments.
Here is an example of the FrameworkCommenter@qb:
component singleton accessors="true" {
property name="coldboxVersion" inject="coldbox:coldboxSetting:version";
property name="properties";
/**
* Returns a struct of key/value comment pairs to append to the SQL.
*
* @sql The SQL to append the comments to. This is provided if you need to
* inspect the SQL to make any decisions about what comments to return.
* @datasource The datasource that will execute the query. If null, the default datasource will be used.
* This can be used to make decisions about what comments to return.
*/
public struct function getComments( required string sql, string datasource ) {
return { "version": "coldbox-#variables.coldboxVersion#" };
}
}You may use any. all, or none of the commenters provided by qb. You may also create your own for your application. You may even see commenters pop up on ForgeBox for popular use cases.
For example, if you use cbauth (or cbsecurity using cbauth), this commenter will add the current user ID to each query.
component singleton accessors="true" {
property name="auth" inject="AuthenticationService@cbauth";
property name="properties";
/**
* Returns a struct of key/value comment pairs to append to the SQL.
*
* @sql The SQL to append the comments to. This is provided if you need to
* inspect the SQL to make any decisions about what comments to return.
* @datasource The datasource that will execute the query. If null, the default datasource will be used.
* This can be used to make decisions about what comments to return.
*/
public struct function getComments( required string sql, string datasource ) {
return { "userId": variables.auth.getUserId() };
}
}The comment generated by sqlCommenter is escaped and url-encoded. It can be reversed by calling the SQLCommenter.parseCommentedSQL method with the full query or the SQLCommenter.parseCommentString method with just the comment.
Name
Type
Required
Default
Description
sql
string
true
The commented SQL string to parse.
Parses a commented SQL string into the SQL and a struct of the key/value pair comments.
getInstance( "ColdBoxSQLCommenter@qb" )
.parseCommentedSQL( "SELECT * FROM foo /*action='index',dbDriver='mysql-connector-java-8.0.25%20%28Revision%3A%2008be9e9b4cba6aa115f9b27b215887af40b159e0%29',event='Main.index',framework='coldbox-6.0.0',handler='Main',route='%2F'*/" );{
"sql": "SELECT * FROM foo",
"comments": {
"action": "index",
"dbDriver": "mysql-connector-java-8.0.25 (Revision: 08be9e9b4cba6aa115f9b27b215887af40b159e0)",
"event": "Main.index",
"framework": "coldbox-6.0.0",
"handler": "Main",
"route": "/"
}
}Name
Type
Required
Default
Description
commentString
string
true
The comment string to parse into a struct.
Parses a comment string into a struct.
getInstance( "ColdBoxSQLCommenter@qb" )
.parseCommentString(
"/*action='index',dbDriver='mysql-connector-java-8.0.25%20%28Revision%3A%2008be9e9b4cba6aa115f9b27b215887af40b159e0%29',event='Main.index',framework='coldbox-6.0.0',handler='Main',route='%2F'*/"
);{
"action": "index",
"dbDriver": "mysql-connector-java-8.0.25 (Revision: 08be9e9b4cba6aa115f9b27b215887af40b159e0)",
"event": "Main.index",
"framework": "coldbox-6.0.0",
"handler": "Main",
"route": "/"
}Out of the box, qb includes a ColdBoxSQLCommenter. Since sqlCommenter adds contextual information, some level of framework or application integration is necessary. You can create your own sqlCommenter instance by extending the qb.models.SQLCommenter.SQLCommenter abstract component. If you create a SQLCommenter for a specific framework, consider sharing it with others on ForgeBox.
Sometimes you want to add constraints on a table level, rather than a column level. The following methods will let you accomplish that.
Create a generic index from one or more columns.
Argument
Type
Required
Default
Description
columns
string or array
true
The column or array of columns that make up the index.
name
string
false
A generated name consisting of the table name and column name(s).
The name of the index constraint.
Example:
SchemaBuilder
schema.create( "users", function( table ) {
table.string( "first_name" );
table.string( "last_name" );
table.index( [ "first_name", "last_name" ], "idx_users_full_name" );
} );SQL (MySQL)
CREATE TABLE `users` (
`first_name` VARCHAR(255) NOT NULL,
`last_name` VARCHAR(255) NOT NULL,
INDEX `idx_users_full_name` (`first_name`, `last_name`)
)Create a foreign key constraint from one or more columns. Follow up this call with calls to the TableIndex's references and onTable methods.
Argument
Type
Required
Default
Description
columns
string or array
true
The column or array of columns that references a key or keys on another table.
name
string
false
A generated name consisting of the table name and column name(s).
The name of the foreign key constraint.
Example:
SchemaBuilder
schema.create( "users", function( table ) {
table.unsignedInteger( "country_id" );
table.foreignKey( "country_id" ).references( "id" ).onTable( "countries" );
} );SQL (MySQL)
CREATE TABLE `users` (
`country_id` INTEGER UNSIGNED NOT NULL,
CONSTRAINT `fk_users_country_id` FOREIGN KEY (`country_id`) REFERENCES `countries` (`id`) ON UPDATE NO ACTION ON DELETE NO ACTION
)Create a primary key constraint from one or more columns.
Argument
Type
Required
Default
Description
columns
string or array
true
The column or array of columns that make up the primary key.
name
string
false
A generated name consisting of the table name and column name(s).
The name of the primary key constraint.
Example:
SchemaBuilder
schema.create( "posts_users", function( table ) {
table.unsignedInteger( "post_id" ).references( "id" ).onTable( "posts" );
table.unsignedInteger( "user_id" ).references( "id" ).onTable( "users" );
table.primaryKey( [ "post_id", "user_id" ], "pk_posts_users" );
} );SQL (MySQL)
CREATE TABLE `posts_users` (
`post_id` VARCHAR(255) NOT NULL,
`user_id` VARCHAR(255) NOT NULL,
INDEX `idx_users_full_name` (`first_name`, `last_name`),
CONSTRAINT `fk_posts_users_post_id` FOREIGN KEY (`post_id`) REFERENCES `posts` (`id`) ON UPDATE NO ACTION ON DELETE NO ACTION,
CONSTRAINT `fk_posts_users_user_id` FOREIGN KEY (`user_id`) REFERENCES `users` (`id`) ON UPDATE NO ACTION ON DELETE NO ACTION,
CONSTRAINT ""pk_users_first_name_last_name"" PRIMARY KEY (""first_name"", ""last_name"")
)Create a unique constraint from one or more columns.
Argument
Type
Required
Default
Description
columns
string or array
true
The column or array of columns that make up the unique constraint.
name
string
false
A generated name consisting of the table name and column name(s).
The name of the unique constraint.
Example:
SchemaBuilder
schema.create( "users", function( table ) {
table.increments( "id" );
table.string( "username ");
table.unique( "username" );
} );SQL (MySQL)
CREATE TABLE `users` (
`id` INTEGER UNSIGNED NOT NULL AUTO_INCREMENT,
UNIQUE (`username`)
)Adobe has ended support for ACF 2016, and so must we.
uuid split into and CFML's uuid does not match other languages; it's one character shorter. Because of this, the value from createUUID() cannot be used in some database column types like SQL Server's uniqueidentifier. This made for some confusion in SchemaBuilder since it wasn't clear if uuid meant CFML's definition or the wider world's definition.
So, the types have been split, following Lucee's pattern, into (matching CFML's ) and (matching Java's UUID or on Lucee).
If you are using uuid with 36 character UUIDs or SQL Server's uniqueidentifier columns, please migrate your uuid calls to guid.
Popular grid frameworks like Quasar and Datatables use values of 0 or -1 to return all rows from a query. This is now supported in qb. Previously, it generated an invalid query (SELECT * FROM users LIMIT 0 OFFSET 0).
If this behavior is fine for your application, you don't need to change anything.
This behavior can be customized by providing a callback to the shouldMaxRowsOverrideToAll setting or init argument.
If you need to revert to the previous behavior, provide the following as the shouldMaxRowsOverrideToAll setting:
is now the defaultIntroduced in , this feature uses separate SQL types for integers and decimals to increase performance in certain database grammars. This feature is now the default, but the previous behavior can be enabled by setting autoDeriveNumericType to false.
This behavior should be an improvement in most every case without any changes needed.
If you need to revert to the previous behavior, provide the following as the autoDeriveNumericType setting:
Note: The option to revert to the old behavior will be removed in the next major version.
is now the defaultIntroduced in , this feature only returns a SQL type of CF_SQL_TIMESTAMP if the param is a date object, not just a string that looks like a date. This helps avoid situations where some strings were incorrectly interpreted as dates. For many, the migration path is straightforward — calls to are already date objects as well as any function that operates on a date. If you need to parse a string as a date, the built-in function can accomplish that.
If you are relying on qb treating any strings as dates you will need to parse them as actual date objects first. (You can do so using functions like .
If you need to revert to the previous behavior, provide the following as the strictDateDetection setting:
Note: The option to revert to the old behavior may be removed in the next major version.
This isn't a breaking change that will affect most people. In fact, it will most likely improve your code.
Previously, when using the control flow function, you were fully responsible for the wrapping of your where statements. For example, the following query:
Would generate the following SQL:
The problem with this statement is that the OR can short circuit the active check.
The fix is to wrap the LIKE statements in parenthesis. This is done in qb using a function callback to where.
When using the when control flow function, it was easy to miss this. This is because you are already in a closure - it looks the same as when using where to group the clauses.
In qb 8.0.0, when will automatically group added where clauses when needed. That means our original example now produces the SQL we probably expected.
Grouping is not needed if there is no OR combinator. In these cases no grouping is added.
If you had already wrapped your expression in a group inside the when callback, nothing changes. Your code works as before. The OR combinator check only works on the top most level of added where clauses.
Additionally, if you do not add any where clauses inside a when callback, nothing changes from qb 7.
The breaking change part is if you were relying on these statements residing at the same level without grouping. In those cases, you may pass the withoutScoping flag to the when callback.
Support for Lucee 4.5 and Adobe ColdFusion 11 has been dropped. If you need support for these engines, please remain on an earlier version of qb.
MSSQLGrammar was visually too close to MySQLGrammar and was hard to differentiate quickly. SqlServerGrammar is much more unique and easily identifiable. Additionally, more people that use this library refer to their database engine as "SQL Server" than "MSSQL".
To migrate, replace any instances of MSSQLGrammar with SqlServerGrammar. Make sure to also append the @qb namespace, if needed,
Variadic parameter support was the ability to pass any number of arguments to certain methods like select.
This code came with a slight performance cost and readability cost. That, combined with the fact that the above syntax is very close to an array, we are dropping support for variadic parameters. To migrate, wrap instances of variadic parameters in an array:
In previous versions, the value passed to defaultGrammar was used to look up a mapping in the @qb namespace. This made it difficult to add or use grammars that weren't part of qb. (You could get around this be registering your custom grammar in the @qb namespace, but doing so seemed strange.)
To migrate this code, change your defaultGrammar to be the full WireBox mapping in your moduleSettings:
A defaultValue parameter and optional exception throwing was added to value. This pushed the options struct to the end of the method. If you are using positional parameters with value, you will need to update your method calls to either use named parameters or the new positions.
callback to queryAll methods that could conceivably take a subquery as well as a value now accept a closure or another builder instance to use as a subquery. This led to changing the callback argument to query in the following cases:
whereSub
whereInSub
whereExists
orWhereExists
whereNotExists
andWhereNotExists
orWhereNotExists
whereNullSub
orderBySub
subSelect
If you are using named parameters with any of the above methods you will need to migrate your method calls.
Version v5.0.0 brings support for SchemaBuilder inside qb. To avoid naming confusion, Builder was renamed to QueryBuilder. Any references in your code to Builder@qb need to be updated to QueryBuilder@qb.
You may not always want to select all columns from a database table. You can influence the select list of a query with the following methods.
Individual columns can contain fully-qualified names (some_table.some_column), table aliases (alias.some_column), and even set column aliases themselves (some_column AS c). The columns argument can be a single column, a list of columns (comma-separated), or an array of columns.
When calling select any previous columns are discarded. If you want to incrementally select columns, use the addSelect method.
If you pass no columns to this method, it will default to "*".
Calling distinct will cause the query to be executed with the DISTINCT keyword.
This method adds the columns passed to it to the currently selected columns.
If the QueryBuilder is currently selecting all columns ("*") when this method is called, the incoming columns will becoming the only columns selected.
A shortcut to use a raw expression in the select clause.
The expression is added to the other already selected columns.
(To learn more about raw and expressions, check out the docs on .)
The method lets you pass either a callback or a QueryBuilder instance to be used as a subselect expression. If a callback is passed it will be passed a new query instance as the only parameter.
The subselect is added to the other already selected columns.
Clears out the selected columns for a query along with any configured select bindings.
Clears out the selected columns for a query along with any configured select bindings. Then sets a selection of columns to select from the query. Any valid argument to can be passed here.
Clears out the selected columns for a query along with any configured select bindings. Then adds an Expression or array of expressions to the already selected columns.
moduleSettings = {
"qb": {
"shouldMaxRowsOverrideToAll": function( maxRows ) {
return false;
}
}
};moduleSettings = {
"qb": {
"autoDeriveNumericType": false
}
};moduleSettings = {
"qb": {
"strictDateDetection": false
}
};qb.from( "users" )
.where( "active", 1 )
.when( len( url.q ), function( q ) {
q.where( "username", "LIKE", q & "%" )
.orWhere( "email", "LIKE", q & "%" );
} );SELECT *
FROM "users"
WHERE "active" = ?
AND "username" = ?
OR "email" = ?qb.from( "users" )
.where( "active", 1 )
.where( function( q ) {
q.where( "username", "LIKE", q & "%" )
.orWhere( "email", "LIKE", q & "%" );
} );SELECT *
FROM "users"
WHERE "active" = ?
AND (
"username" = ?
OR "email" = ?
)// qb 8.0.0
qb.from( "users" )
.where( "active", 1 )
.when( len( url.q ), function( q ) {
q.where( "username", "LIKE", q & "%" )
.orWhere( "email", "LIKE", q & "%" );
} );SELECT *
FROM "users"
WHERE "active" = ?
AND (
"username" = ?
OR "email" = ?
)// qb 8.0.0
qb.from( "users" )
.where( "active", 1 )
.when( url.keyExists( "admin" ), function( q ) {
q.where( "admin", 1 )
.whereNotNull( "hireDate" );
} );SELECT *
FROM "users"
WHERE "active" = ?
AND "admin" = ?
AND "hireDate IS NOT NULLqb.from( "users" )
.where( "active", 1 )
.when( len( url.q ), function( q ) {
q.where( function( q2 ) {
q2.where( "username", "LIKE", q & "%" )
.orWhere( "email", "LIKE", q & "%" );
} );
} );SELECT *
FROM "users"
WHERE "active" = ?
AND (
"username" = ?
OR "email" = ?
)// qb 8.0.0
qb.from( "users" )
.where( "active", 1 )
.when(
condition = len( url.q ),
onTrue = function( q ) {
q.where( "username", "LIKE", q & "%" )
.orWhere( "email", "LIKE", q & "%" );
},
withoutScoping = true
);SELECT *
FROM "users"
WHERE "active" = ?
AND "username" = ?
OR "email" = ?qb.select( "name", "email", "createdDate" );qb.select( [ "name", "email", "createdDate" ] );moduleSettings = {
"qb": {
"defaultGrammar": "MSSQLGrammar@qb"
}
};public any function value(
required string column,
string defaultValue = "",
boolean throwWhenNotFound = false,
struct options = {}
);Name
Type
Required
Default
Description
columns
string | array
false
"*"
A single column, list of columns, or array of columns to retrieve.
query.select( [ "fname AS firstName", "age" ] ).from( "users" );SELECT `fname` AS `firstName`, `age` FROM `users`Name
Type
Required
Default
Description
state
boolean
false
true
Value to set the distinct flag.
query.select( "username" ).distinct().from( "users" );SELECT DISTINCT `username` FROM `users`Name
Type
Required
Default
Description
columns
string | array
true
A single column, list of columns, or array of columns to add to the select.
query.addSelect( [ "fname AS firstName", "age" ] ).from( "users" );SELECT `fname` AS `firstName`, `age` FROM `users`Name
Type
Required
Default
Description
expression
any
true
The raw expression for the select statement.
bindings
array
false
[]
Any bindings needed for the raw expression.
query.selectRaw( "YEAR(birthdate) AS birth_year" ).from( "users" );SELECT YEAR(birthdate) AS birth_year FROM `users`Name
Type
Required
Default
Description
alias
string
true
The alias for the subselect expression.
query
Function | QueryBuilder
true
The callback or query to use in the subselect.
query.subSelect( "last_login_date", function( q ) {
q.selectRaw( "MAX(created_date)" )
.from( "logins" )
.whereColumn( "users.id", "logins.user_id" );
} ) ).from( "users" );SELECT (
SELECT MAX(created_date)
FROM `logins`
WHERE `users`.`id` = `logins`.`user_id`
) AS `last_login_date`
FROM `usersName
Type
Required
Default
Description
No arguments
``
query.from( "users" )
.select( [ "fname AS firstName", "age" ] )
.clearSelect();SELECT * FROM `users`Name
Type
Required
Default
Description
columns
string | array
false
"*"
A single column, list of columns, or array of columns to retrieve.
query.from( "users" )
.select( [ "fname AS firstName", "age" ] )
.reselect( "username" );SELECT `username` FROM `users`Name
Type
Required
Default
Description
expression
any
true
The raw expression for the select statement.
bindings
array
false
[]
Any bindings needed for the raw expression.
query.from( "users" )
.select( [ "fname AS firstName", "age" ] )
.reselectRaw( "YEAR(birthdate) AS birth_year" );SELECT YEAR(birthdate) AS birth_year FROM `users`The orderBy method seems simple but has a lot of depth depending on the type of arguments you pass in.
Name
Type
Required
Default
Description
column
any
true
The name of the column to order by. An can be passed as well.
direction
string
false
"asc"
The direction by which to order the query. Accepts "asc"or "desc".
query.from( "users" )
.orderBy( "email" );SELECT *
FROM `users`
ORDER BY `email` ASCCalling orderBy multiple times will append to the order list.
query.from( "users" )
.orderBy( "email" )
.orderBy( "username", "desc" );SELECT *
FROM `users`
ORDER BY
`email` ASC,
`username` DESCYou can also provide an Expression.
query.from( "users" )
.orderBy( query.raw( "DATE(created_at)" ) );SELECT *
FROM `users`
ORDER BY DATE(created_at)Name
Type
Required
Default
Description
column
any
true
The list of the columns to order by. Each column can optionally declare it's sort direction after a pipe delimiter. (e.g. `"height
desc"`).
direction
string
false
"asc"
The direction by which to order the query. Accepts "asc"or "desc". This value will be used as the default value for all entries in the column list that fail to specify a direction for a specific column.
query.from( "users" )
.orderBy( "email|asc,username", "desc" );SELECT *
FROM `users`
ORDER BY
`email` ASC,
`username` DESCName
Type
Required
Default
Description
column
any
true
The array of the columns to order by. Each column can optionally declare it's sort direction after a pipe delimiter. (e.g. `"height
desc"`).
direction
string
false
"asc"
The direction by which to order the query. Accepts "asc"or "desc". This value will be used as the default value for all entries in the column array that fail to specify a direction for a specific column.
query.from( "users" )
.orderBy( [ "email|asc", "username" ], "desc" );SELECT *
FROM `users`
ORDER BY
`email` ASC,
`username` DESCName
Type
Required
Default
Description
column
any
true
The array of the columns to order by. Each column can optionally declare it's sort direction using a struct. The struct should have a column key and an optional direction key. (e.g. { column = "favorite_color", direction = "desc" }).
direction
string
false
"asc"
The direction by which to order the query. Accepts "asc"or "desc". This value will be used as the default value for all entries in the column array that fail to specify a direction for a specific column.
query.from( "users" )
.orderBy( [
{ "column": "email", "direction": "asc" },
"username"
], "desc" );SELECT *
FROM `users`
ORDER BY
`email` ASC,
`username` DESCName
Type
Required
Default
Description
column
any
true
The name of the column to order by. An can be passed as well. An array can be passed with any combination of simple values, array, struct, or list for each entry in the array (an example with all possible value styles: column = [ "last_name", [ "age", "desc" ], { column = "favorite_color", direction = "desc" }, "height|desc" ];. The column argument can also just accept a comman delimited list with a pipe ( | ) as the secondary delimiter denoting the direction of the order by. The pipe delimiter is also used when parsing the column argument when it is passed as an array and the entry in the array is a pipe delimited string.
direction
string
false
"asc"
Ignored when using a Function or QueryBuilder instance.
You can order with a subquery using either a function or a QueryBuilder instance.
query.from( "users" )
.orderBy( function( q ) {
q.selectRaw( "MAX(created_date)" )
.from( "logins" )
.whereColumn( "users.id", "logins.user_id" );
} );SELECT *
FROM `users`
ORDER BY (
SELECT MAX(created_date)
FROM `logins`
WHERE `users`.`id` = `logins`.`user_id`
)Name
Type
Required
Default
Description
expression
string
true
The raw SQL expression to use.
bindings
array
false
[]
Any bindings (?) used in the expression.
query.from( "users" )
.orderByRaw( "CASE WHEN status = ? THEN 1 ELSE 0 END DESC", [ 1 ] );SELECT *
FROM `users`
ORDER BY CASE WHEN status = ? THEN 1 ELSE 0 END DESCName
Type
Required
Default
Description
No arguments
Clears the currently configured orders for the query. Usually used by downstream libraries like Quick.
query.from( "users" )
.orderBy( "email" )
.clearOrders();SELECT *
FROM `users`Name
Type
Required
Default
Description
column
any
true
The name of the column to order by. An can be passed as well.
direction
string
false
"asc"
The direction by which to order the query. Accepts "asc"or "desc".
Clears the currently configured orders for the query and sets the new orders passed in. Any valid argument to orderBy can be passed here. Usually used by downstream libraries like Quick.
query.from( "users" )
.orderBy( "email" )
.reorder( "username" );SELECT *
FROM `users`
ORDER BY `username` ASC
When creating a column from the Blueprint object, a Column object is returned. This column gives you access to a few modifier commands to further configure the column.
Attach a comment to the column.
Argument
Type
Required
Default
Description
comment
string
true
The comment text.
Example:
SchemaBuilder
schema.create( "users", function( table ) {
table.integer( "age" ).comment( "Do not lie about your age" );
} );SQL (MySQL)
CREATE TABLE `users` (
`age` INTEGER NOT NULL COMMENT `Do not lie about your age`
)Sets a default value for the column.
Note: The value is not escaped, allowing you to specify functions like NOW() or literals like 1. To specify a literal string, wrap the value in quotes.
Argument
Type
Required
Default
Description
value
string
true
The default value.
Example:
SchemaBuilder
schema.create( "users", function( table ) {
table.boolean( "is_active" ).default( 1 );
table.timestamp( "created_date" ).default( "NOW()" );
tablVIRTUAL NOT NULLe.string( "country" ).default( "'USA'" );
} );SQL (MySQL)
CREATE TABLE `users` (
`is_active` TINYINT(1) DEFAULT 1,
`created_date` TIMESTAMP DEFAULT NOW(),
`country` VARCHAR(255) DEFAULT 'USA'
)Sets the column to allow null values.
Argument
Type
Required
Default
Description
No arguments
All columns are created as NOT NULL by default. As such, there is no notNull method.
Example:
SchemaBuilder
schema.create( "users", function( table ) {
table.timestamp( "last_logged_in" ).nullable()
} );SQL (MySQL)
CREATE TABLE `users` (
`last_logged_in` TIMESTAMP
)Adds the column as a primary key for the table.
Argument
Type
Required
Default
Description
indexName
string
false
A derived name built from the table name and column name.
The name to use for the primary key constraint.
The primaryKey method returns a TableIndex instance. Additional methods can be chained off of it.
Example:
SchemaBuilder
schema.create( "users", function( table ) {
table.uuid( "id" ).primaryKey();
} );SQL (MySQL)
CREATE TABLE `users` (
`id` CHAR(35) NOT NULL,
CONSTAINT `pk_users_id` PRIMARY KEY (`id`)
)Creates a foreign key constraint for the column.
Argument
Type
Required
Default
Description
value
string
true
The default value.
IMPORTANT: Additional configuration of the foreign constraint is done by calling methods on the returned TableIndex instance.
Example:
SchemaBuilder
schema.create( "users", function( table ) {
table.unsignedInteger( "country_id" ).references( "id" ).onTable( "countries" ).onDelete( "cascade" );
} );SQL (MySQL)
CREATE TABLE `users` (
`country_id` INTEGER UNSIGNED NOT NULL,
CONSTRAINT `fk_users_country_id` FOREIGN KEY (`country_id`) REFERENCES `countries` (`id`) ON UPDATE NO ACTION ON DELETE CASCADE
)Sets the column as unsigned.
Argument
Type
Required
Default
Description
No arguments
Example:
SchemaBuilder
schema.create( "users", function( table ) {
table.integer( age" ).unsigned();
} );SQL (MySQL)
CREATE TABLE `users` (
`age` INTEGER UNSIGNED NOT NULL
)Sets the column to have the UNIQUE constraint.
Argument
Type
Required
Default
Description
No arguments
Example:
SchemaBuilder
schema.create( "email", function( table ) {
table.string( email" ).unique();
} );SQL (MySQL)
CREATE TABLE `users` (
`email` VARCHAR(255) NOT NULL UNIQUE
)Sets the column to have the a default value of CURRENT_TIMESTAMP.
Argument
Type
Required
Default
Description
No arguments
Example:
SchemaBuilder
schema.create( "posts", function( table ) {
table.timestamp( "posted_date" ).withCurrent();
} );SQL (Postgres)
CREATE TABLE "posts" (
"posted_date" TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP
)Creates a stored computed column. Computed columns are defined as expressions between other columns and/or constant values. Stored computed columns are saved in the database to avoid computing on every query.
Argument
Type
Required
Default
Description
expression
string
true
The SQL used to define the computed column.
schema.create( "products", function( table ) {
table.integer( "price" );
table.integer( "tax" ).storedAs( "price * 0.0675" );
} );CREATE TABLE `products` (
`price` INTEGER NOT NULL,
`tax` INTEGER GENERATED ALWAYS AS (price * 0.0675) STORED NOT NULL
)CREATE TABLE [products] (
[price] INTEGER NOT NULL,
[tax] AS (price * 0.0675) PERSISTED
)CREATE TABLE "products" (
"price" INTEGER NOT NULL,
"tax" INTEGER NOT NULL GENERATED ALWAYS AS (price * 0.0675) STORED
)CREATE TABLE "PRODUCTS" (
"PRICE" NUMBER(10, 0) NOT NULL,
"TAX" NUMBER(10, 0) GENERATED ALWAYS AS (price * 0.0675)
)Creates a virtual computed column. Computed columns are defined as expressions between other columns and/or constant values. Virtual computed columns are computed on every query.
Argument
Type
Required
Default
Description
expression
string
true
The SQL used to define the computed column.
schema.create( "products", function( table ) {
table.integer( "price" );
table.integer( "tax" ).virtualAs( "price * 0.0675" );
} );CREATE TABLE `products` (
`price` INTEGER NOT NULL,
`tax` INTEGER GENERATED ALWAYS AS (price * 0.0675) VIRTUAL NOT NULL
)CREATE TABLE [products] (
[price] INTEGER NOT NULL,
[tax] AS (price * 0.0675)
)CREATE TABLE "products" (
"price" INTEGER NOT NULL,
"tax" INTEGER GENERATED ALWAYS AS (price * 0.0675) STORED
)CREATE TABLE "PRODUCTS" (
"PRICE" NUMBER(10, 0) NOT NULL,
"TAX" NUMBER(10, 0) GENERATED ALWAYS AS (price * 0.0675) VIRTUAL
)QB ships with a schema builder to help you build your database objects. This provides a few benefits:
The syntax is expressive and fluent, making it easy to understand what is being executed
The syntax is database-agnostic. Specific quirks are isolated in a Grammar file, making it easy to migrate between engines.
You start with a SchemaBuilder object. The SchemaBuilder takes the same Grammar that a QueryBuilder takes. It can additionally take a struct of default query options forwarded on to queryExecute and a defaultSchema to use when calling hasTable and hasColumn. (A schema argument passed to those methods still takes precendence.)
Note: the
SchemaBuilderis a transient, and a new one should be created for each operation.
The SchemaBuilder has four main methods to start your database object creation:
Create a new table in the database.
The majority of the work comes from calling methods on the Blueprint object. A Blueprint defines the and for your tables.
Example:
SchemaBuilder
SQL (MySQL)
Alter an existing table in the database.
In addition to using the and off of the passed-in Blueprint object, the Blueprint contains helpers such as addConstraint, removeConstraint, addColumn, renameColumn, and dropColumn to assist in altering existing tables.
Example:
SchemaBuilder
SQL (MySQL)
Drop a table from the database.
Example:
SchemaBuilder
SQL (MySQL)
SchemaBuilder as well:renameRename a table from an old name to a new name
Example:
SchemaBuilder
SQL (MySQL)
hasTableCheck if a table exists in the database.
Example:
SchemaBuilder
SQL (MySQL)
hasColumnCheck if a column exists in a table in the database.
Example:
SchemaBuilder
SQL (MySQL)
qb includes a few methods to help you lock certain rows when executing select statements.
Note: For locks to work properly, they must be nested inside a transaction. qb does not handle any of the transaction lifecycle for you.
A shared lock prevents the selected rows from being modified until your transaction is committed.
A lock for update lock prevents the selected rows from being modified or selected with another shared lock until your transaction is committed.
The main difference between a sharedLock and lockForUpdate is that a lockForUpdate prevents other reads or selects as well as updates.
When using the skipLocked flag, the query will skip over locked records and only return and lock available records.
noLock will instruct your grammar to ignore any shared locks when executing the query.
Currently this only makes a difference in SQL Server grammars.
The lock method will allow you to add a custom lock directive to your query. Think of it as the raw method for lock directives.
These lock directives vary from grammar to grammar.
Clears any lock directive on the query.
// manually
var schema = new qb.models.schema.SchemaBuilder(
grammar = new qb.models.grammars.MySQLGrammar(),
defaultOptions = { datasource: "my_datasource" }
defaultSchema = ""
);
// WireBox
var schema = wirebox.getInstance( "SchemaBuilder@qb" );Argument
Type
Required
Default
Description
table
string
true
The name of the table to create.
callback
function
true
A callback function used to define the table body. It is passed a Blueprint as the only argument.
options
struct
false
{}
Options to pass to queryExecute.
execute
boolean
false
true
Run the query immediately after building it.
schema.create( "users", function( table ) {
table.increments( "id" );
table.string( "email" );
table.string( "password" );
table.timestamp( "created_date" ).nullable();
table.timestamp( "modified_date" ).nullable();
} );CREATE TABLE `users` (
`id` INTEGER UNSIGNED NOT NULL AUTO_INCREMENT,
`email` VARCHAR(255) NOT NULL,
`password` VARCHAR(255) NOT NULL,
`created_date` TIMESTAMP,
`modified_date` TIMESTAMP,
CONSTRAINT `pk_users_id` PRIMARY KEY (`id`)
)Argument
Type
Required
Default
Description
table
string
true
The name of the table to alter.
callback
function
true
A callback function used to define the changes to the table. It is passed a Blueprint as the only argument.
options
struct
false
{}
Options to pass to queryExecute.
execute
boolean
false
true
Run the query immediately after building it.
schema.alter( "users", function( table ) {
table.addConstraint( table.unique( "username" ) );
table.dropColumn( "last_logged_in" );
} );ALTER TABLE `users` ADD CONSTRAINT `unq_users_username` UNIQUE (`username`);
ALTER TABLE `users` DROP COLUMN `last_logged_in`;Argument
Type
Required
Default
Description
table
string
true
The name of the table to drop.
options
struct
false
{}
Options to pass to queryExecute.
execute
boolean
false
true
Run the query immediately after building it.
schema.drop( "user_logins" );DROP TABLE `user_logins`Argument
Type
Required
Default
Description
from
string
true
The old table name.
to
string
true
The new table name.
options
struct
false
{}
Options to pass to queryExecute.
execute
boolean
false
true
Run the query immediately after building it.
schema.rename( "posts", "blog_posts" );RENAME TABLE `posts` TO `blog_posts`Argument
Type
Required
Default
Description
name
string
true
The name of the table to check.
options
struct
false
{}
Options to pass to queryExecute.
execute
boolean
false
true
Run the query immediately after building it.
schema.hasTable( "users" );SELECT 1
FROM `information_schema`.`tables`
WHERE `table_name` = 'users'Argument
Type
Required
Default
Description
table
string
true
The name of the table to check for the column in.
column
string
true
The column to check for in the table.
options
struct
false
{}
Options to pass to queryExecute.
execute
boolean
false
true
Run the query immediately after building it.
schema.hasColumn( "users", "last_logged_in" );SELECT 1
FROM `information_schema`.`columns`
WHERE `table_name` = 'users'
AND `column_name` = 'last_logged_in'Name
Type
Required
Default
Description
No arguments
skipLocked
Boolean
false
false
query.from( "users" )
.where( "id", 1 )
.lockForUpdate();SELECT *
FROM `users`
WHERE `id` = ?
FOR UPDATESELECT *
FROM [users] WITH (ROWLOCK,UPDLOCK,HOLDLOCK)
WHERE [id] = ?SELECT *
FROM "users"
WHERE "id" = ?
FOR UPDATESELECT *
FROM "USERS"
WHERE "ID" = ?
FOR UPDATEquery.from( "users" )
.where( "id", 1 )
.lockForUpdate( skipLocked = true )
.orderBy( "id" )
.limit( 5 );SELECT *
FROM `users`
WHERE `id` = ?
ORDER BY `id`
LIMIT 5
FOR UPDATE SKIP LOCKEDSELECT TOP 5 *
FROM [users] WITH (ROWLOCK,UPDLOCK,HOLDLOCK,READPAST)
WHERE [id] = ?
ORDER BY [id]SELECT *
FROM "users"
WHERE "id" = ?
ORDER BY "id"
LIMIT 1
FOR UPDATE SKIP LOCKEDName
Type
Required
Default
Description
No arguments
query.from( "users" )
.where( "id", 1 )
.noLock();SELECT *
FROM [users] WITH (NOLOCK)
WHERE [id] = ?Name
Type
Required
Default
Description
value
string
true
The custom lock directive to add to the query.
Name
Type
Required
Default
Description
No arguments
query.from( "users" )
.where( "id", 1 )
.sharedLock();SELECT *
FROM `users`
WHERE `id` = ?
LOCK IN SHARE MODESELECT *
FROM [users] WITH (ROWLOCK,HOLDLOCK)
WHERE [id] = ?SELECT *
FROM "users"
WHERE "id" = ?
FOR SHARELOCK TABLE "USERS"
IN SHARE MODE NOWAIT;
SELECT *
FROM "USERS"
WHERE "ID" = ?The alter method loads up an existing table in order to make modifications. These modifications may include adding, renaming, or dropping columns and constraints.
To begin altering an existing table, call the alter method off of the SchemaBuilder. This method takes a callback as the second parameter that is passed a Blueprint object, much like the create method.
Argument
Type
Required
Default
Description
table
string
true
The name of the table to alter.
callback
function
true
A callback function used to define the alterations to the table. It is passed a Blueprint as the only argument.
options
struct
false
{}
Options to pass to queryExecute.
execute
boolean
false
true
Run the query immediately after building it.
Calling multiple methods inside a single
altercallback creates multiple SQL statements to be executed. qb takes care of this execution for you by default.
The following methods off of Blueprint let you modify the table inside the callback:
Add a new column to an existing table. Takes a Column instance as the only argument.
Any instance of Column is valid like those returned by the column methods (integer, string, etc.) as well as the column modifier methods (unsigned, nullable, etc.).
Argument
Type
Required
Default
Description
column
Column
true
A column object to add to the table.
Example:
SchemaBuilder
schema.alter( "users", function( table ) {
table.addColumn( table.boolean( "is_active" ) );
} );SQL (MySQL)
ALTER TABLE `users` ADD `is_active` TINYINT(1) NOT NULLAn escape hatch to directly insert any sql in to the statement.
Argument
Type
Required
Default
Description
sql
string
true
The sql to insert directly into the statement.
Example:
SchemaBuilder
schema.alter( "registrars", function ( table ) {
table.addColumn(
table.raw( "HasDNSSecAPI bit NOT NULL CONSTRAINT DF_registrars_HasDNSSecAPI DEFAULT (0)" )
);
} );SQL (MySQL)
ALTER TABLE `registrars`
ADD HasDNSSecAPI bit NOT NULL
CONSTRAINT DF_registrars_HasDNSSecAPI DEFAULT (0)Drop a column on an existing table.
Argument
Type
Required
Default
Description
name
string
true
The name of the column to drop.
Example:
SchemaBuilder
schema.alter( "users", function( table ) {
table.dropColumn( "username" );
} );SQL (MySQL)
ALTER TABLE `users` DROP COLUMN `username`Modify an existing column on a table.
Argument
Type
Required
Default
Description
name
string
true
The name of the column to modify.
column
Column
true
A column object to replace the named column.
Example:
SchemaBuilder
schema.alter( "users", function( table ) {
table.modifyColumn( "name", table.string( "username" ) );
} );SQL (MySQL)
ALTER TABLE `users` CHANGE `name` `username` VARCHAR(255) NOT NULLRename a column on a table. A full Column instance is required as the second argument for Grammars that need to redeclare the column definition when renaming.
Argument
Type
Required
Default
Description
name
string
true
The current name of a column.
column
Column
true
A column object with the new column name and definition.
Example:
SchemaBuilder
schema.alter( "users", function( table ) {
table.renameColumn( "name", table.string( "username" ) );
} );SQL (MySQL)
ALTER TABLE `users` CHANGE `name` `username` VARCHAR(255) NOT NULLAdd an index or key to an existing table. Any TableIndex instance is valid, like those created by the index methods (unique, index, primaryKey, etc.).
Argument
Type
Required
Default
Description
constraint
TableIndex
true
The TableIndex instance to add to the table.
Example:
SchemaBuilder
schema.alter( "users", function( table ) {
table.addConstraint( table.unique( "username" ) );
} );SQL (MySQL)
ALTER TABLE `users` ADD CONSTRAINT `unq_users_username` UNIQUE (`username`)Drop an existing table constraint.
Argument
Type
Required
Default
Description
name
string OR TableIndex
true
The name of the constraint to drop. You can alternatively pass a TableIndex instance to use the dynamic name generated.
Example:
SchemaBuilder
schema.alter( "users", function( table ) {
table.dropConstraint( "unq_users_full_name" );
table.dropConstraint( table.unique( "username" ) );
} );SQL (MySQL)
ALTER TABLE `users` DROP INDEX `unq_users_full_name`
ALTER TABLE `users` DROP INDEX `unq_users_username`Drop an existing index.
Argument
Type
Required
Default
Description
name
string OR TableIndex
true
The name of the index to drop. You can alternatively pass a TableIndex instance to use the dynamic name generated.
Example:
SchemaBuilder
schema.alter( "users", function( table ) {
table.dropIndex( "idx_username" );
table.dropIndex( table.index( "username" ) );
} );SQL (MySQL)
ALTER TABLE `users` DROP INDEX `idx_username`
ALTER TABLE `users` DROP INDEX `idx_users_username`SQL (SQL Server)
DROP INDEX [users].[idx_username]
DROP INDEX [users].[idx_users_username]Rename an existing table constraint.
Argument
Type
Required
Default
Description
oldName
string OR TableIndex
true
The old or current name of the constraint to rename. You can alternatively pass a TableIndex instance to use the dynamic name generated.
newName
string OR TableIndex
true
The new name of the constraint. You can alternatively pass a TableIndex instance to use the dynamic name generated.
Example:
SchemaBuilder
schema.alter( "users", function( table ) {
table.renameConstraint( "unq_users_first_name_last_name", "unq_users_full_name" );
} );SQL (MySQL)
ALTER TABLE `users` RENAME INDEX `unq_users_first_name_last_name` TO `unq_users_full_name`Rename an existing table.
Argument
Type
Required
Default
Description
oldName
string
true
The old or current name of the table to rename.
newName
string
true
The new name of the table.
Example:
SchemaBuilder
schema.renameTable( "workers", "employees" );SQL (MySQL)
RENAME TABLE `workers` TO `employees`An alias for renameTable.
Argument
Type
Required
Default
Description
oldName
string
true
The old or current name of the table to rename.
newName
string
true
The new name of the table.
Example:
SchemaBuilder
schema.rename( "workers", "employees" );SQL (MySQL)
RENAME TABLE `workers` TO `employees`Name
Type
Required
Default
Description
columns
string | array
false
A shortcut parameter to retrieve only these columns overriding any columns previously set on the QueryBuilder.
options
struct
false
{}
Any additional queryExecute options.
The get method is the most common method used for retrieving results. It executes using the configured QueryBuilder and returns the results.
query.from( "users" ).get();SELECT * FROM `users`get can also take a list or array of columns to use as a shortcut. If any are passed, those columns will be used instead of any columns previously set on the QueryBuilder.
query.from( "users" ).get( [ "id", "name" ] );SELECT `id`, `name` FROM `users`Name
Type
Required
Default
Description
options
struct
false
{}
Any additional queryExecute options.
If you just need to retrieve a single row from the database table, you may use the first method. This method will return a single record (a Struct by default). If no row is found an empty Struct will be returned by default.
query.from( "users" ).first();SELECT * FROM `users`
LIMIT(1)Name
Type
Required
Default
Description
errorMessage
string
false
An optional string error message or callback to produce a string error message. If a callback is used, it is passed the QueryBuilder instance as the only argument.
options
struct
false
{}
Any additional queryExecute options.
throws: EntityNotFound
Returns the first matching row for the configured query, just like first. If no records are found, it throws an EntityNotFound exception.
query.from( "users" ).firstOrFail();SELECT * FROM `users`
LIMIT(1)Name
Type
Required
Default
Description
column
any
true
The name of the column to retrieve or an to retrieve.
options
struct
false
{}
Any additional queryExecute options.
If you don't even need an entire row, you may extract a single value from each record using the values method. The values method will return the column of your choosing as a simple array.
query.from( "users" ).values( "firstName" );[ "jon", "jane", "jill", ... ]An expression can also be passed to values:
qb.from( "users" ).values( qb.raw( "CONCAT(fname, ' ', lname) AS fullName" ) );Name
Type
Required
Default
Description
column
string
true
The sql to use as an .
options
struct
false
{}
Any additional queryExecute options.
The values method will return the expression given for each row as a simple array.
query.from( "users" ).valuesRaw( "CONCAT(fname, ' ', lname) AS fullName" );Name
Type
Required
Default
Description
column
any
true
The name of the column to retrieve or an to retrieve.
defaultValue
string
false
(empty string)
The default value returned if there are no records returned for the query.
throwWhenNotFound
boolean
false
false
If true, it throws a RecordCountException if no records are returned from the query.
options
struct
false
{}
Any additional queryExecute options.
This method is similar to values except it only returns a single, simple value. Where values calls get under the hood, this method calls first.
query.from( "users" ).value( "firstName" );"jon"If no records are returned from the query, one of two things will happen. If the throwWhenNotFound boolean is set to true, a RecordCountException will be thrown. Otherwise the defaultValue provided to the method will be returned.
An expression can also be passed to value:
qb.from( "users" ).value( qb.raw( "CONCAT(fname, ' ', lname) AS fullName" ) );Name
Type
Required
Default
Description
column
string
true
The sql to use as an .
defaultValue
string
false
(empty string)
The default value returned if there are no records returned for the query.
throwWhenNotFound
boolean
false
false
If true, it throws a RecordCountException if no records are returned from the query.
options
struct
false
{}
Any additional queryExecute options.
The value method will return the expression given for the first row found.
query.from( "users" ).valueRaw( "CONCAT(fname, ' ', lname) AS fullName" );Name
Type
Default
Description
max
numeric
The number of results to return in each chunk.
callback
Function
The function that will be called with each chunk.
options
struct
{}
Any additional queryExecute options.
Large datasets can be broken up and retrieved in chunks. This allows you to work with a subset of results at once to keep your memory footprint under control.
chunk can be called on any query like you would call get. You can stop the retrieving and processing early by returning false from the callback.
query.from( "users" ).chunk( 100, function( users ) {
// Process the users here
// Returning false from the callback stops processing
} );Name
Type
Required
Default
Description
page
numeric
false
1
The page number to retrieve.
maxRows
numeric
false
25
The number of records per page. If a number less than 0 is passed, 0 is used instead.
options
struct
false
{}
Any additional queryExecute options.
Generates a pagination struct along with the results of the executed query. It does this by calling both count and forPage.
query.from( "users" )
.paginate();{
"pagination": {
"maxRows": 25,
"offset": 0,
"page": 1,
"totalPages": 2,
"totalRecords": 45
},
"results": [ { /* ... */ }, ]
}The behavior when a maxRows of 0 or lower is passed is determined by the shouldMaxRowsOverrideToAll callback function. The default callback returns all rows for values <= 0. You can customize this behavior by passing a new callback to the shouldMaxRowsOverrideToAll setting or init argument.
Name
Type
Required
Default
Description
page
numeric
false
1
The page number to retrieve.
maxRows
numeric
false
25
The number of records per page. If a number less than 0 is passed, 0 is used instead.
options
struct
false
{}
Any additional queryExecute options.
Generates a simple pagination struct along with the results of the executed query. It does so without getting a count of the number of records the query would return. This can be desirable for performance reasons if your query count is rather large. It instead determines if there are more records by asking for one more row that your specified maxRows. If the number of rows returned exceeds your specified maxRows then the pagination returns hasMore: true. The results will always contain your specified maxRows (or less, if there aren't enough records).
query.from( "users" )
.simplePaginate();{
"pagination": {
"maxRows": 25,
"offset": 0,
"page": 1,
"hasMore": true
},
"results": [ { /* ... */ }, ]
}The behavior when a maxRows of 0 or lower is passed is determined by the shouldMaxRowsOverrideToAll callback function. The default callback returns all rows for values <= 0. You can customize this behavior by passing a new callback to the shouldMaxRowsOverrideToAll setting or init argument.
A pagination collector is the name given to the struct returned from calling the paginate method. It can be a struct or a component. It needs one function defined and will be passed the following parameters.
Name
Type
Description
totalRecords
numeric
The total records count.
results
any
The results of the query execution. It will be passed as whatever return format the user has defined.
page
numeric
The current page number.
maxRows
numeric
The maximum number of rows retrieved per page.
You can set your custom pagination collector either in the constructor using the paginationCollector argument or by calling setPaginationCollector on a query builder instance.
By default, qb ships with cbpaginator as its pagination collector. The return format of cbpaginator is the example shown above.
In qb 8.4.0 the simplePaginate method was added. This uses a new method on the paginationCollector.
Name
Type
Description
results
any
The results of the query execution. It will be passed as whatever return format the user has defined.
page
numeric
The current page number.
maxRows
numeric
The maximum number of rows retrieved per page.
Common Table Expressions (CTEs) are powerful SQL concept that allow you to create re-usable temporal result sets, which can be referenced as a table within your SQL. CTEs are available in many common database engines and are available in latest versions of all of the support grammars.
CTEs come in two basic types:
Non-recursive — These are statements that do not reference themselves, in simplified terms they are like a derived table that can be referenced by a user-defined name.
Recursive — Recursive CTEs reference themselves and are generally used for creating hierarchical data—such as creating a parent/child relationship within a table.
While all of the grammars currently support CTEs, there is enough difference between the various databases implementations of CTEs that unless your CTEs are fairly basic, using CTEs within your project will most likely tie your project to a specific database, unless you account for the differences in your code.
However, CTEs are can be extremely useful to solve certain use cases.
To add CTEs to your queries, you have two methods available:
with() — Allows you to define a non-recursive CTE.
withRecursive() — Allows you to define a recursive CTE.
You can build a CTE using a function:
Alternatively, you can use a QueryBuilder instance instead of a function:
A single query can reference multiple CTEs:
IMPORTANT — The way the SQL in a recursive CTEs are written, using them in your code is likely to lock in you in to a specific database engine, unless you structure your code to build the correct SQL based on the current grammar being used.
Here is an example of building a recursive CTE using SQL Server which would return all parent/child rows and show their generation/level depth:
Name
Type
Required
Default
Description
name
string
true
The name of the CTE.
input
QueryBuilder | Function
true
Either a QueryBuilder instance or a function to define the derived query.
columns
Array<String>
false
[]
An optional array containing the columns to include in the CTE.
recursive
boolean
false
false
Determines if the CTE statement should be a recursive CTE. Passing this as an argument is discouraged. Use the dedicated withRecursive where possible.
// qb
query.with( "UserCTE", function ( q ) {
q
.select( [ "fName as firstName", "lName as lastName" ] )
.from( "users" )
.where( "disabled", 0 );
} )
.from( "UserCTE" )
.get();WITH `UserCTE` AS (
SELECT
`fName` as `firstName`,
`lName` as `lastName`
FROM `users`
WHERE `disabled` = 0
) SELECT * FROM `UserCTE`// qb
var cte = query
.select( [ "fName as firstName", "lName as lastName" ] )
.from( "users" )
.where( "disabled", 0 );
query.with( "UserCTE", cte )
.from( "UserCTE" )
.get();WITH `UserCTE` AS (
SELECT
`fName` as `firstName`,
`lName` as `lastName`
FROM `users`
WHERE `disabled` = 0
)
SELECT * FROM `UserCTE`query.with( "UserCTE", function ( q ) {
q.select( [ "id", "fName as firstName", "lName as lastName" ] )
.from( "users" )
.where( "disabled", 0 );
} )
.with( "BlogCTE", function ( q ) {
q.from( "blogs" )
.where( "disabled", 0 );
} )
.from( "BlogCTE as b" )
.join( "UserCTE as u", "b.Creator", "u.id" )
.get();WITH `UserCTE` AS (
SELECT
`id`,
`fName` as `firstName`,
`lName` as `lastName`
FROM `users`
WHERE `disabled` = 0
),
`BlogCTE` AS (
SELECT *
FROM `blogs`
WHERE `disabled` = 0
)
SELECT *
FROM `BlogCTE` AS `b`
INNER JOIN `UserCTE` AS `u`
ON `b`.`Creator` = `u`.`id`Name
Type
Required
Default
Description
name
string
true
The name of the CTE.
input
QueryBuilder | Function
true
Either a QueryBuilder instance or a function to define the derived query.
columns
Array<String>
false
[]
An optional array containing the columns to include in the CTE.
query
.withRecursive( "Hierarchy", function ( q ) {
q.select( [ "Id", "ParentId", "Name", q.raw( "0 AS [Generation]" ) ] )
.from( "Sample" )
.whereNull( "ParentId" )
// use recursion to join the child rows to their parents
.unionAll( function ( q ) {
q.select( [
"child.Id",
"child.ParentId",
"child.Name",
q.raw( "[parent].[Generation] + 1" )
] )
.from( "Sample as child" )
.join( "Hierarchy as parent", "child.ParentId", "parent.Id" );
} );
}, [ "Id", "ParentId", "Name", "Generation" ] )
.from( "Hierarchy" )
.get();WITH [Hierarchy] ([Id], [ParentId], [Name], [Generation]) AS (
SELECT
[Id],
[ParentId],
[Name],
0 AS [Generation]
FROM [Sample]
WHERE [ParentId] IS NULL
UNION ALL
SELECT
[child].[Id],
[child].[ParentId],
[child].[Name],
[parent].[Generation] + 1
FROM [Sample] AS [child]
INNER JOIN [Hierarchy] AS [parent]
ON [child].[ParentId] = [parent].[Id]
) SELECT * FROM [Hierarchy]Better Support for OracleGrammar in SchemaBuilder
Fix trigger creation by escaping colons (:).
Try to drop associated sequences and triggers when dropping a table.
Allow for setting a defaultSchema property on a SchemaBuilder instance.
The defaultSchema will be used for methods like hasTable and hasColumn. A passed in schema will still take precedence.
Use CHAR for GUID and UUID types in MySQL.
Don't call getUtils from inside QueryUtils.
Make replaceBindings publicly available in QueryUtils.
This is used by qb to inline query bindings in toSQL or dump calls and can be used to inline the bindings in other tools like CommandBox Migrations.
Use named parameters when passing to BaseGrammar. This avoids problems where custom Grammars have extra arguments and we add arguments to the official grammar.
Add the ability to pretend to run queries, both in QueryBuilder and SchemaBuilder.
Add query logging to QueryBuilder and SchemaBuilder instances.
Use varchar for clob when converting to a CFML query. This is used when removing a column like in Oracle pagination.
Handle more numeric SQL types like AtomicInteger and Long.
Add millisecond accuracy to inline bindings.
Separate having bindings from where bindings.
We now support the returning function inside update and delete statements for supported Grammars. Supported grammars are SQL Server, Postgres, and SQLite.
Fix raw table name parsing in update queries for SqlServerGrammar.
Fix truncating text in nested wheres inside joins.
Fix out of order bindings in joinSub
Switch from table_catalog to table_schema when referencing schema for PostgresGrammar.
CommandBox-friendly injections for SQL Commenter.
Add support for from bindings, used especially in fromSub queries.
This release reverts the use of native returntypes. There are too many bugs between engine implementations to make it viable. No end-user changes should be visible.
Make withReturnFormat a public method.
Add ability to inline bindings when calling toSQL and dump. These strings can be executed in a DBMS application.
Move coldbox namespace injection to the function body so CommandBox doesn't blow up.
Correctly apply native returntypes after newQuery and withReturnFormat.
Fix losing defaultOptions when calling newQuery.
Shortcut for no return format using none.
Allow for native struct returntypes. Requires a return format of none.
Fix RouteInfoCommenter file name.
Adobe has ended support for ACF 2016, and so must we.
CFML's uuid does not match other languages; it's one character shorter. Because of this, the value from createUUID() cannot be used in some database column types like SQL Server's uniqueidentifier. This made for some confusion in SchemaBuilder since it wasn't clear if uuid meant CFML's definition or the wider world's definition.
So, the types have been split, following Lucee's pattern, into uuid (matching CFML's createUUID()) and guid (matching Java's UUID or createGUID() on Lucee).
Popular grid frameworks like Quasar and Datatables use values of 0 or -1 to return all rows from a query. This is now supported in qb. Previously, it generated an invalid query (SELECT * FROM users LIMIT 0 OFFSET 0).
This behavior can be customized by providing a callback to the shouldMaxRowsOverrideToAll setting or init argument. For instance, to revert to the previous behavior you would set the function as follows:
moduleSettings = {
"qb": {
"shouldMaxRowsOverrideToAll": function( maxRows ) {
return false;
}
}
};autoDeriveNumericType is now the defaultIntroduced in 8.10.0, this feature uses separate SQL types for integers and decimals to increase performance in certain database grammars. This feature is now the default, but the previous behavior can be enabled by setting autoDeriveNumericType to false.
Note: the option to revert to the old behavior will be removed in the next major version.
strictDateDetection is now the defaultIntroduced in 8.1.0, this feature only returns a SQL type of CF_SQL_TIMESTAMP if the param is a date object, not just a string that looks like a date. This helps avoid situations where some strings were incorrectly interpreted as dates. For many, the migration path is straightforward — calls to now() are already date objects as well as any function that operates on a date. If you need to parse a string as a date, the parseDateTime built-in function can accomplish that.
Note: the option to revert to the old behavior may be removed in the next major version.
Thanks to Jason Steinhouer, qb now supports SQLite for both QueryBuilder and SchemaBuilder. You can use it in your apps by specifying SQLiteGrammar@qb as the default grammar.
sqlCommenter is a specification by Google for adding contextual information as a comment at the end of a SQL statement. This can give insights into your application, especially when diagnosing slow queries. Examples of the information you can append to your queries are route, handler, action, version, and others, as well as the ability to add your own, such as loggedInUser and more.
There's a new shortcut method to return qb.sum( qb.raw( expression ) ). You're welcome. 😉
dropIndex methodSome grammars, like SQL Server, do not treat simple indexes as constraints. For this reason, we've added a dropIndex method alongside the existing dropConstraint.
columnList helper methodcolumnList will return either an array of column names for the configured table or the query that is generated by cfdbinfo for the configured table. Especially useful when working with dynamically generated grids.
Correctly compile insertUsing statements that use Common Table Expressions (CTEs).
Update announceInterception calls for ColdBox 7. (Thank you, Michael Born.)
Fixed insertUsing not placing Common Table Expressions (CTEs) in the correct order.
Added the missing keyword in the Postgres upsert syntax.
Don't add DISTINCT when doing a COUNT(*).
Support aggregates for unioned queries.
Add a firstOrFail fetch method inspired by Quick.
There are now specific numeric SQL types for integers and decimals used during the inferSQLType check in QueryUtils. This is an opt-in feature, enabled by setting the autoDeriveNumericType setting. The previous approach was to use CF_SQL_NUMERIC for all numeric types which could cause performance issues in some grammars as they interpreted all CF_SQL_NUMERIC as floating point numbers.
HOLDLOCK and READPAST are mutually exclusive table locks in SQL Server but were mistakenly being applied together.
Specify defaultOptions inside of your ColdBox config.
Better parsing of raw statements when deriving insertUsing columns.
Insert data based off of a callback or builder using insertUsing.
Insert data ignoring duplicate key errors using insertIgnore.
Use a callback or builder as the source for an upsert statement.
Allow for deleting unmatched source records in upserts (SQL Server only).
Add a new skipLocked flag to lockForUpdate.
Don't uppercase quoted aliases in Oracle.
Fix for aliases in update statements.
Don't sort columns for insertUsing.
Add subquery bindings in insert and upsert statements.
Maintain column order when using source in upsert.
Fix for Oracle returning custom column types when renaming a column.
Explicit arguments scoping.
arrayEach is slow compared to merging arrays.
Fix wheres with joins in update statements.
Add better null handling to inferSqlType.
Correctly format columns being updated.
Add an upsert method. upsert can update or insert multiple records at once depending on if a column is matched.
Allow JOIN statements in UPDATE statements. (This is not supported on Oracle.)
Allow updates with subselects using closures or builder instances.
Better handling of group by and having clauses in pagination queries.
Allow any value to be returned from aggregates including strings, numbers, and dates.
Correctly wrap CTE expressions with parenthesis when required in certain grammars.
SchemaBuilder can now be configured with default query options. (Default options will still be overridden by options passed to each SchemaBuilder method.)
Add a reset method to QueryBuilder.
Add locking helpers such as lock, noLock, lockForUpdate, and sharedLock.
Correct return aggregate values for date values from max and min executors.
Automatically add a scale to an incoming query param when needed.
Add a whereNotLike shortcut method.
Correctly format a COUNT(DISTINCT column) query.
Only use bulk insert syntax when needed in OracleGrammar due to interactions between the result parameter to cfquery, Lucee, and the Oracle JDBC driver.
Add support for stored computed columns and virtual computed columns.
Swap master branch to main branch.
Remove unnecessary injection for QueryUtils.
Account for raw expressions when generating mementos for comparison
Add support for mediumtext & longtext types for MySQLGrammar.
Fix limit on simplePaginate.
Migrate release process to GitHub Actions.
Add a simplePaginate pagination method for quicker performance when total records or total pages are not needed or too slow.
Introduce a numericSQLType setting to specify the default numeric SQL type.
Default to html for the dump format argument to writeDump.
Correctly use the passed in strictDateDetection to the QueryUtils.cfc.
Added a dump command to aid in debugging a query while chaining.
orderByRaw now can accept bindings.
A new, optional strictDateDetection setting is available to check the underlying Java class of a date object instead of using isDate.
Ignore select bindings for aggregate queries.
Allow spaces in table aliases.
Split FLOAT and DECIMAL column types in SQL Server.
Clear orderBy bindings when calling clearOrders.
Trim table definitions before searching for aliases. Makes qb more lenient with extra whitespace.
``when callbacks now automatically scope and group where clauses when an OR combinator is used.
Combine clearOrders and orderBy with a new reordermethod.
Clear current selected columns with clearSelect.
Combine clearSelect and either select or selectRaw with reselect and reselectRaw respectively.
Expose nested where functions to enable advanced query manipulation in downstream libraries like Quick.
Fixes for OracleGrammar including table aliases and wrapped subqueries.
Allow nullable timestamps in MySQL.
Return 0 on null aggregates.
Match type hints to documentation for join functions
Handle enhanced numeric checks with Secure Profile enabled.
Allow raw statements in basic where clauses.
Allow for space-delimited sort directions like column DESC.
``value and values now work with column formatters.
Correctly format RETURNING clauses with column formatters and ignoring table qualifiers.
Handle multi-word columns in queryRemoveColumns.
Remove elvis operator due to ACF compatibility issues
Add support for MONEY and SMALLMONEY data types to SchemaBuilder.
Fix wrapping of enum types for Postgres.
Compatibility fix for ACF 2018 and listLast parsing.
Include current_timestamp default for timestamp columns in SchemaBuilder.
Ignore table qualifiers for insert and update.
Fix a bug with preventDuplicateJoins when using the closure syntax with a join.
Add executionTime to the data output from BaseGrammar, including being available in interceptors.
Fix a case where a column was not wrapped correctly when a where used a subquery for the value.
Avoid duplicate function due to cbORM / Hibernate bugs when used in the same application.
Split off a private whereBasic method. This is used in Quick to provide extra sql type features.
Add a clearOrders method. Any already configured orders are cleared. Any orders added after this call will be added as normal.
selectRaw now can take an array of expressions.
Fixed an issue using column formatters with update and insert.
Using a new preventDuplicateJoins setting in the module settings, qb can detect duplicate joins and ignore them. This is especially useful in a heavily filtered and dynamic query where you may or may not need the join at all or more than one column may need the same join. preventDuplicateJoins defaults to false, so it is opt-in. It may be turned on by default in a future breaking release of qb.
Enhance order by's with more direction options (c767ac8)
You can now use two shortcut methods: orderByAsc and orderByDesc. Additionally, orderBySub or using orderBy with a closure or builder instance will respect the direction argument.
Fix using whereBetween with query param structs (07c9b72)
Ignore orders in aggregate queries (39e1338)
Format with cfformat (dc2a9b6)
Improve column wrapping with trimming (d98a5cb)
Prefer the parent query over magic methods when the parent query has the exact method. (f9fd8d1)
Switch to using ForgeBox Storage.
Allow passing query options in to paginate (cdecfb3)
Fix for inserting null values directly (1de27a6)
Use cfformat for automatic formatting (119e434)
Add a type to the onMissingMethod exception (90d1093)
Correctly wrap comments in MySQLGrammar.
Publish qb apidocs to Ortus API Docs.
Fix for null values breaking the new checkIsActuallyNumeric method in QueryUtils.
Add a parameterLimit public property to SqlServerGrammar. This property is used in Quick to split up eager loading to work around the 2100 param limit of SQL Server.
Allow a parent query to be set. A parent query will receive any method calls that are not found on the Query Builder instance. This is especially useful for instances like Quick to allow Quick features like scopes to be available inside any closures.
Lambdas (arrow functions) are now allowed wherever closures are allowed.
Add an orderByRaw method.
Please see the Migration Guide for more information on these changes.
Drop support for Lucee 4.5 and Adobe ColdFusion 11.
MSSQLGrammar renamed to SqlServerGrammar
Remove variadic parameters support in builder functions like select.
The defaultGrammar mapping needs to be the full WireBox mapping, including the @qb, if needed.
For instance, MSSQLGrammar would become MSSQLGrammar@qb.
This will allow for other grammars to be more easily contributed via third party modules.
The argument names of forPage changed to match the new paginate method.
Add defaultValue and optional exception throwing to value. (This changed the argument order.)
All methods that could conceivably take a subquery as well as a value now accept a closure or another builder instance to use as a subquery. (This changed the argument names in some instances.)
Completely revamped documentation! (You're looking at it right now.)
Add new flag to toSQL( showBindings = true ) to replace question marks (?) with cfqueryparam-compatible structs for debugging.
Preserve column case and order when converting a query to an array using the default "array" return format.
Add a new paginate method to generate a pagination struct alongside the results. This can be customized using a custom PaginationCollector.
Allow raw values in insert calls.
Allow default queryExecute options to be configure at a Query Builder level. This also enables custom QueryBuilders a la Hyper.
Add a whereLike method.
Allow closures to be used in left and right joins.
Provide an addUpdate method to programmatically build the SET clause of an update query.
Add a new chunk method to grab records from the database in small sets.
Add raw in alterTable segments.
Add dropAllObjects support for SqlServerGrammar and OracleGrammar to support migrate fresh from cfmigrations.
Add a renameTable alias for rename.
Remove default constraints when dropping columns with a default on SqlServerGrammar.
Add more column types and column helpers to SchemaBuilder, including:
datetimeTz
lineString
nullableTimestamps
point
polygon
softDeletes
softDeletesTz
timeTz
timestamps
timestampTz
timestampsTz
withCurrent
****
The following methods all have the same return value:
{
"result": "Value of the `result` parameter to `queryExecute`",
"query": "Return value of running `queryExecute` - a CFML query object"
}values
struct | array<struct>
true
A struct or array of structs to insert in to the table.
options
struct
false
{}
Any additional queryExecute options.
toSQL
boolean
false
false
If true, returns the raw SQL string instead of running the query. Useful for debugging.
You can insert a single record by passing a struct:
query.from( "users" )
.insert( {
"name" = "Robert",
"email" = "[email protected]",
"age" = 55
} );INSERT INTO `users` (`age`, `email`, `name`)
VALUES (?, ?, ?)You can specify any query param options such as the SQL type by passing a struct with the parameters you would pass to cfqueryparam.
query.from( "users" )
.insert( {
"name" = "Robert",
"email" = "[email protected]",
"age" = { value = 55, cfsqltype = "CF_SQL_INTEGER" }
} );INSERT INTO `users` (`age`, `email`, `name`)
VALUES (?, ?, ?)Raw values can be supplied to an insert statement.
query.from( "users" )
.insert( {
"name" = "Robert",
"email" = "[email protected]",
"updatedDate" = query.raw( "NOW()" )
} );INSERT INTO `users` (`age`, `email`, `updatedDate`)
VALUES (?, ?, NOW())Multiple rows can be inserted in a batch by passing an array of structs to insert.
query.from( "users" ).insert( [
{ "email" = "[email protected]", "name" = "John Doe" },
{ "email" = "[email protected]", "name" = "Jane Doe" }
] );INSERT INTO `users` (`email`, `name`)
VALUES (?, ?), (?, ?)INSERT ALL
INTO "USERS" ("EMAIL", "NAME") VALUES (?, ?)
INTO "USERS" ("EMAIL", "NAME") VALUES (?, ?)
SELECT 1 FROM dualvalues
struct | array<struct>
true
A struct or array of structs to insert in to the table.
target
array<string>
false
[]
An array of key column names to match on. (SQL Server and Oracle grammars only.)
options
struct
false
{}
Any additional queryExecute options.
toSQL
boolean
false
false
If true, returns the raw SQL string instead of running the query. Useful for debugging.
Inserts data into a table while ignoring duplicate key conflicts.
query.from( "users" )
.insertIgnore(
values = [
{ "email" = "foo", "name" = "bar" },
{ "email" = "baz", "name" = "bam" }
],
target = [ "email" ]
);INSERT IGNORE INTO `users` (`email`, `name`)
VALUES (?, ?), (?, ?)MERGE [users] AS [qb_target]
USING (VALUES (?, ?), (?, ?)) AS [qb_src] ([email], [name])
ON [qb_target].[email] = [qb_src].[email]
WHEN NOT MATCHED BY TARGET THEN
INSERT ([email], [name]) VALUES ([email], [name]);INSERT INTO "users" ("email", "name")
VALUES (?, ?), (?, ?)
ON CONFLICT DO NOTHINGMERGE INTO "USERS" "QB_TARGET"
USING (SELECT ?, ? FROM dual UNION ALL SELECT ?, ? FROM dual) "QB_SRC"
ON "QB_TARGET"."EMAIL" = "QB_SRC"."EMAIL"
WHEN NOT MATCHED THEN
INSERT ("EMAIL", "NAME")
VALUES ("QB_SRC"."EMAIL", "QB_SRC"."NAME")source
function | QueryBuilder
true
A callback or builder instance to serve as the source of the insert.
columns
array<string>
false
An array of column names that will be inserted. If no columns are passed, the columns will be derived from the source columns and aliases.
options
struct
false
{}
Any additional queryExecute options.
toSQL
boolean
false
false
If true, returns the raw SQL string instead of running the query. Useful for debugging.
Inserts data into a table using a subquery as the source.
qb.from( "users" )
.insertUsing( function( q ) {
q.from( "activeDirectoryUsers" )
.select( [ "email", "modifiedDate AS createdDate" ] )
.where( "active", 1 );
} );INSERT INTO `users` (`email`, `createdDate`)
SELECT `email`, `modifiedDate` AS `createdDate`
FROM `activeDirectoryUsers`
WHERE `active` = ?You can also pass in an array of column names to avoid aliasing in your source query.
qb.from( "users" )
.insertUsing(
columns = [ "email", "createdDate" ],
source = function( q ) {
q.from( "activeDirectoryUsers" )
.select( [ "email", "modifiedDate" ] )
.where( "active", 1 );
}
);INSERT INTO `users` (`email`, `createdDate`)
SELECT `email`, `modifiedDate`
FROM `activeDirectoryUsers`
WHERE `active` = ?Alternatively, the source can be defined as a QueryBuilder object:
qb.from( "users" )
.insertUsing(
qb.newQuery()
.from( "activeDirectoryUsers" )
.select( [ "email", "modifiedDate AS createdDate" ] )
.where( "active", 1 )
);INSERT INTO `users` (`email`, `createdDate`)
SELECT `email`, `modifiedDate` AS `createdDate`
FROM `activeDirectoryUsers`
WHERE `active` = ?Name
Type
Required
Default
Description
values
struct
false
{}
A struct of column and value pairs to update. These column and value pairs are appended to any already set with the method.
options
struct
false
{}
Any additional queryExecute options.
toSQL
boolean
false
false
If true, returns the raw SQL string instead of running the query. Useful for debugging.
Updates a table with a struct of column and value pairs.
query.from( "users" )
.update( {
"email" = "foo",
"name" = "bar"
} );UPDATE `users`
SET `email` = ?,
`name` = ?You can specify any query param options such as the SQL type by passing a struct with the parameters you would pass to cfqueryparam.
query.from( "users" )
.update( {
"email" = "foo",
"name" = "bar",
"updatedDate" = { value = now(), cfsqltype = "CF_SQL_TIMESTAMP" }
} );UPDATE `users`
SET `email` = ?,
`name` = ?,
`updatedDate` = ?Any constraining of the update query should be done using the appropriate WHERE statement before calling update.
query.from( "users" )
.whereId( 1 )
.update( {
"email" = "foo",
"name" = "bar"
} );UPDATE `users`
SET `email` = ?,
`name` = ?
WHERE `Id` = ?You can update a column based on another column using a raw expression.
query.from( "hits" )
.where( "page", "someUrl" )
.update( {
"count" = query.raw( "count + 1" )
} );UPDATE `hits`
SET `count` = count + 1
WHERE `page` = ?Null values can be inserted by using queryparam syntax:
query.from("user")
.whereId( 10 )
.update( {
manager_FK = { value = "", null=true },
} )if you are using full null support the following (easier) syntax is also allowed:
query.from("user")
.whereId( 10 )
.update( {
manager_FK = { value = null },
} )Subselects can be used to update values by passing a closure as the value
qb.table( "employees" )
.update( {
"departmentName" = function( q ) {
q.from( "departments" )
.select( "name" )
.whereColumn( "employees.departmentId", "departments.id" );
} )
} );UPDATE `employees`
SET `departmentName` = (
SELECT `name`
FROM `departments`
WHERE `employees`.`departmentId` = `departments`.`id`
)You can also pass a builder instance in place of the closure.
qb.table( "employees" )
.update( {
"departmentName" = qb.newQuery()
.from( "departments" )
.select( "name" )
.whereColumn( "employees.departmentId", "departments.id" )
} )
} );qb will correctly format JOIN clauses in your UPDATE statements for your database grammar.
OracleGrammar does not support JOIN clauses inUPDATE statements. Consider using subselects in your UPDATE statement instead.
qb.table( "employees" )
.join( "departments", "departments.id", "employees.departmentId" )
.update( {
"employees.departmentName": qb.raw( "departments.name" )
} );UPDATE `employees`
INNER JOIN `departments`
ON `departments`.`id` = `employees`.`departmentId`
SET `employees`.`departmentName` = departments.nameUPDATE [employees]
SET [employees].[departmentName] = departments.name
FROM [employees]
INNER JOIN [departments]
ON [departments].[id] = [employees].[departmentId]UPDATE "employees"
SET "employees"."departmentName" = departments.name
FROM "departments"
WHERE "departments"."id" = "employees"."departmentId"Name
Type
Required
Default
Description
values
struct
true
A struct of column and value pairs to add to the update clause.
Adds values to a later update, similar to addSelect.
query.from( "users" )
.whereId( 1 )
.addUpdate( {
"email" = "foo",
"name" = "bar"
} )
.when( true, function( q ) {
q.addUpdate( {
"foo": "yes"
} );
} )
.when( false, function( q ) {
q.addUpdate( {
"bar": "no"
} );
} )
.update();UPDATE `users`
SET `email` = ?,
`foo` = ?,
`name` = ?
WHERE `Id` = ?Name
Type
Required
Default
Description
values
struct
true
A struct of column and value pairs to either update or insert.
options
boolean
false
{}
Any additional queryExecute options.
toSql
boolean
false
false
If true, returns the raw SQL string instead of running the query. Useful for debugging.
Performs an update statement if the configured query returns true for exists. Otherwise, performs an insert statement.
If an update statement is performed qb applies a limit( 1 ) to the update statement.
query.from( "users" )
.where( "email", "foo" )
.updateOrInsert( {
"email" = "foo",
"name" = "baz"
} );UPDATE `users`
SET `email` = ?,
`name` = ?
WHERE `email` = ?
LIMIT 1If the configured query returns 0 records, then an insert statement is performed.
query.from( "users" )
.where( "email", "foo" )
.updateOrInsert( {
"email" = "foo",
"name" = "baz"
} );INSERT INTO `users` (`email`, `name`)
VALUES (?, ?)Name
Type
Required
Default
Description
values
struct | array<struct> | array<string>
true
A struct or array of structs to insert into or update on the table. If a source is provided, this should be an array of column names to update instead.
target
string | array<string>
true
A column name or array of column names to match the values to the table. If a match is found, the record will be updated. Otherwise, a new record will be inserted. Most database grammars required these columns to have either a primary key or a unique index.
update
array | struct
false
null
Either an array of columns to update using the current value matched or a struct containing the column names as keys and the corresponding to update. If blank, it will update all the columns in the passed in value.
source
function | QueryBuilder
false
null
A callback function or QueryBuilder object to use as the source for the upsert. When using this parameter, values must be an array of column names to update.
deleteUmatched
boolean
false
false
Boolean flag to delete any unmatched source records as part the upsert. (SQL Server only.)
options
boolean
false
{}
Any additional queryExecute options.
toSql
boolean
false
false
If true, returns the raw SQL string instead of running the query. Useful for debugging.
An upsert is a batch operation that either inserts or updates a row depending on if a target match is found. If a row is matched with the target column(s), then the matched row is updated. Otherwise a new row is inserted.
In most database grammars, the target columns are required to be primary key or unique indexes.
qb.table( "users" )
.upsert(
values = [
{
"username": "johndoe",
"active": 1,
"createdDate": "2021-09-08 12:00:00",
"modifiedDate": "2021-09-08 12:00:00"
},
{
"username": "janedoe",
"active": 1,
"createdDate": "2021-09-10 10:42:13",
"modifiedDate": "2021-09-10 10:42:13"
},
],
target = [ "username" ],
update = [ "active", "modifiedDate" ],
);INSERT INTO `users`
(`active`, `createdDate`, `modifiedDate`, `username`)
VALUES
(?, ?, ?, ?),
(?, ?, ?, ?)
ON DUPLICATE KEY UPDATE
`active` = VALUES(`active`),
`modifiedDate` = VALUES(`modifiedDate`)MERGE [users] AS [qb_target]
USING (VALUES (?, ?, ?, ?), (?, ?, ?, ?)) AS [qb_src]
([active], [createdDate], [modifiedDate], [username])
ON [qb_target].[username] = [qb_src].[username]
WHEN MATCHED THEN UPDATE
SET [active] = [qb_src].[active],
[modifiedDate] = [qb_src].[modifiedDate]
WHEN NOT MATCHED BY TARGET THEN INSERT
([active], [createdDate], [modifiedDate], [username])
VALUES
([active], [createdDate], [modifiedDate], [username])INSERT INTO "users"
("active", "createdDate", "modifiedDate", "username")
VALUES
(?, ?, ?, ?),
(? ,? ,? ,?)
ON CONFLICT ("username") DO UPDATE
"active" = EXCLUDED."active",
"modifiedDate" = EXCLUDED."modifiedDate"MERGE INTO "USERS" "QB_TARGET"
USING (
SELECT ?, ?, ?, ? FROM dual
UNION ALL
SELECT ?, ?, ?, ? FROM dual
) "QB_SRC"
ON "QB_TARGET"."USERNAME" = "QB_SRC"."USERNAME"
WHEN MATCHED THEN UPDATE
SET "ACTIVE" = "QB_SRC"."ACTIVE",
"MODIFIEDDATE" = "QB_SRC"."MODIFIEDDATE"
WHEN NOT MATCHED THEN INSERT
("ACTIVE", "CREATEDDATE", "MODIFIEDDATE", "USERNAME")
VALUES
("QB_SRC"."ACTIVE", "QB_SRC"."CREATEDDATE", "QB_SRC"."MODIFIEDDATE", "QB_SRC"."USERNAME")The update clause in a upsert can also accept raw values, making it very useful for tracking data like statistics.
qb.table( "stats" )
.upsert(
values = [
{ "postId": 1, "viewedDate": "2021-09-08", "views": 1 },
{ "postId": 2, "viewedDate": "2021-09-08", "views": 1 }
],
target = [ "postId", "viewedDate" ],
update = { "views": qb.raw( "stats.views + 1" ) }
);INSERT INTO `stats`
(`postId`, `viewedDate`, `views`)
VALUES
(?, ?, ?),
(?, ?, ?)
ON DUPLICATE KEY UPDATE
`views` = stats.views + 1MERGE [stats] AS [qb_target]
USING (VALUES (?, ?, ?), (?, ?, ?)) AS [qb_src]
([postId], [viewedDate], [views])
ON [qb_target].[postId] = [qb_src].[postId]
AND [qb_target].[viewedDate] = [qb_src].[viewedDate]
WHEN MATCHED THEN UPDATE
SET [views] = stats.views + 1
WHEN NOT MATCHED BY TARGET THEN INSERT
([postId], [viewedDate], [views])
VALUES
([postId], [viewedDate], [views])INSERT INTO "stats"
("postId", "viewedDate", "views")
VALUES
(?, ?, ?),
(?, ?, ?)
ON CONFLICT ("postId", "viewedDate") DO UPDATE
"views" = stats.views + 1MERGE INTO "STATS" "QB_TARGET"
USING (
SELECT ?, ?, ? FROM dual
UNION ALL
SELECT ?, ?, ? FROM dual
) "QB_SRC"
ON "QB_TARGET"."POSTID" = "QB_SRC"."POSTID"
AND "QB_TARGET"."VIEWEDDATE" = "QB_SRC"."VIEWEDDATE"
WHEN MATCHED THEN UPDATE
SET "VIEWS" = stats.views + 1
WHEN NOT MATCHED THEN INSERT
("POSTID", "VIEWEDDATE", "VIEWS")
VALUES
("QB_SRC"."POSTID", "QB_SRC"."VIEWEDDATE", "QB_SRC"."VIEWS")A source callback or QueryBuilder instance can be used instead of explicit values. This allows you to do upserts across tables or subqueries.
To do this, provide a source that is either a function to configure a new QueryBuilder instance or an already configured QueryBuilder instance. Then specify the columns that will be affected as an array of strings to values.
qb.table( "stats" )
.upsert(
source = function( q ) {
q.from( "activeDirectoryUsers" )
.select( [
"username",
"active",
"createdDate",
"modifiedDate"
] );
},
values = [ "username", "active", "createdDate", "modifiedDate" ],
target = [ "username" ],
update = [ "active", "modifiedDate" ]
);INSERT INTO `users`
(`username`, `active`, `createdDate`, `modifiedDate`)
SELECT `username`, `active`, `createdDate`, `modifiedDate`
FROM `activeDirectoryUsers`
ON DUPLICATE KEY UPDATE
`active` = VALUES(`active`),
`modifiedDate` = VALUES(`modifiedDate`)MERGE [users] AS [qb_target]
USING (
SELECT [username], [active], [createdDate], [modifiedDate]
FROM [activeDirectoryUsers]
) AS [qb_src]
ON [qb_target].[username] = [qb_src].[username]
WHEN MATCHED THEN UPDATE
SET [active] = [qb_src].[active],
[modifiedDate] = [qb_src].[modifiedDate]
WHEN NOT MATCHED BY TARGET THEN INSERT
([username], [active], [createdDate], [modifiedDate])
VALUES ([username], [active], [createdDate], [modifiedDate]);INSERT INTO "users"
("username", "active", "createdDate", "modifiedDate")
SELECT "username", "active", "createdDate", "modifiedDate"
FROM "activeDirectoryUsers"
ON CONFLICT ("username") DO UPDATE
"active" = EXCLUDED."active",
"modifiedDate" = EXCLUDED."modifiedDate"MERGE INTO "USERS" "QB_TARGET"
USING (
SELECT "USERNAME", "ACTIVE", "CREATEDADATE", "MODIFIEDDATE"
FROM "ACTIVEDIRECTORYUSERS"
) "QB_SRC"
ON "QB_TARGET"."USERNAME" = "QB_SRC"."USERNAME"
WHEN MATCHED THEN UPDATE
SET "ACTIVE" = "QB_SRC"."ACTIVE",
"MODIFIEDDATE" = "QB_SRC"."MODIFIEDDATE"
WHEN NOT MATCHED THEN INSERT
("USERNAME", "ACTIVE", "CREATEDDATE", "MODIFIEDDATE")
VALUES
(
"QB_SRC"."USERNAME",
"QB_SRC"."ACTIVE",
"QB_SRC"."CREATEDDATE",
"QB_SRC"."MODIFIEDDATE"
)Name
Type
Required
Default
Description
id
any
false
A convenience argument for `where( "id", "=", arguments.id ). The query can be constrained by normal methods as well.
idColumn
string
false
"id"
The name of the id column for the delete shorthand.
options
boolean
false
{}
Any additional queryExecute options.
toSql
boolean
false
false
If true, returns the raw SQL string instead of running the query. Useful for debugging.
Deletes all records that the query returns.
query.from( "users" )
.where( "email", "foo" )
.delete();DELETE FROM `users`
WHERE `email` = ?The id argument is a convenience to delete a single record by id.
query.from( "users" )
.delete( 1 );DELETE FROM `users`
WHERE `id` = ?Name
Type
Required
Default
Description
columns
string | array
true
A single column, a list or columns, or an array of columns to return from the inserted query.
returning is only supported in PostgresGrammar, SqlServerGrammar, and SQLiteGrammar. Using this method on unsupported grammars will result in an UnsupportedOperation exception. Be aware that using this method constrains your grammar choices.
Specifies columns to be returned from the insert query.
query.from( "users" )
.returning( "id" )
.insert( {
"email" = "foo",
"name" = "bar"
} );INSERT INTO [users] ([email], [name])
OUTPUT INSERTED.[id]
VALUES (?, ?)INSERT INTO "users" ("email", "name")
VALUES (?, ?)
RETURNING "id"INSERT INTO "users" ("email", "name")
VALUES (?, ?)
RETURNING "id"The returning function also applies to update and delete calls.
query.table( "users" )
.returning( [ "id", "modifiedDate" ] )
.where( "id", 1 )
.update( { "email": "[email protected]" } );UPDATE [users]
SET [email] = ?
OUTPUT INSERTED.[id], INSERTED.[modifiedDate]
WHERE [id] = ?UPDATE "users"
SET "email" = ?
WHERE "id" = ?
RETURNING "id", "modifiedDate"UPDATE "users"
SET "email" = ?
WHERE "id" = ?
RETURNING "id", "modifiedDate"query.table( "users" )
.returning( "id" )
.where( "active", 0 )
.delete();DELETE FROM [users]
OUTPUT DELETED.[id]
WHERE [active] = ?DELETE FROM "users" WHERE "active" = ?
RETURNING "id"DELETE FROM "users" WHERE "active" = ?
RETURNING "id"You can also use raw Expressions in a returning call. This is especially useful for SQL Server returning both the old and new values from an update call.
qb.from( "users" )
.where( "id", 1 )
.returningRaw( [
"DELETED.modifiedDate AS oldModifiedDate",
"INSERTED.modifiedDate AS newModifiedDate"
] )
.update( { "email": "[email protected]" } );UPDATE [users]
SET [email] = ?
OUTPUT
DELETED.modifiedDate AS oldModifiedDate,
INSERTED.modifiedDate AS newModifiedDate
WHERE [id] = ?Join clauses range from simple to complex including joining complete subqueries on multiple conditions. qb has your back with all of these use cases.
Table of Contents
Name
Type
Required
Default
Description
table
string | |
true
The name of the table or a object from which the query is based. Alternatively, a configured instance can be passed.
first
string | | Function
false
The first column or to join the table on. Alternatively, a function can be passed to configure complex join statements.
operator
string
false
"="
The boolean operator for the join clause.
second
string |
false
The second column or to join the table on.
type
string
false
"inner"
The type of the join. Passing this as an argument is discouraged for readability. Use the dedicated methods like and where possible.
where
boolean
false
false
Sets if the value of second should be interpreted as a column or a value. Passing this as an argument is discouraged. Use the dedicated or a join closure where possible.
Applies a join to the query. The simplest join is to a table based on two columns:
query.from( "users" )
.join( "posts", "users.id", "=", "posts.author_id" );SELECT *
FROM `users`
JOIN `posts`
ON `users`.`id` = `posts`.`author_id`When doing a simple join using = as the operator, you can omit it and pass just the column names:
query.from( "users" )
.join( "posts", "users.id", "posts.author_id" );SELECT *
FROM `users`
JOIN `posts`
ON `users`.`id` = `posts`.`author_id```Expressions are also supported as the table argument (though you may prefer the readability of the joinRaw method):
query.from( "users" )
.join( query.raw( "posts (nolock)" ), "users.id", "=", "posts.author_id" );SELECT *
FROM [users]
JOIN posts (nolock)
ON [users].[id] = [posts].[author_id]Using raw will most likely tie your code to a specific database, so think carefully before using the raw method if you want your project to be database agnostic.
When you need to specify more clauses to join, you can pass a function as the second argument:
query.from( "users" )
.join( "posts", function( j ) {
j.on( "users.id", "=", "posts.author_id" );
j.on( "users.prefix", "=", "posts.prefix" );
} );SELECT *
FROM `users`
JOIN `posts`
ON `users`.`id` = `posts`.`author_id`
AND `users`.`prefix` = `posts`.`prefix`You can specify where clauses in your joins as well.
query.from( "users" )
.join( "posts", function( j ) {
j.on( "users.id", "=", "posts.author_id" );
j.whereNotNull( "posts.published_date" );
} );SELECT *
FROM `users`
JOIN `posts`
ON `users`.`id` = `posts`.`author_id`
AND `posts`.`published_date` IS NOT NULLConditions inside a join clause can be grouped using a function.
query.from( "users" )
.join( "posts", function( j ) {
j.on( function( j1 ) {
j1.on( "users.id", "posts.author_id" )
.orOn( "users.id", "posts.reviewer_id" );
} );
j.whereNotNull( "posts.published_date" );
} );SELECT *
FROM `users`
JOIN `posts`
ON (
`users`.`id` = `posts`.`author_id`
OR `users`.`id` = `posts`.`reviewer_id`
)
AND `posts`.`published_date` IS NOT NULLA preconfigured JoinClause can also be passed to the join function. This allows you to extract shared pieces of code out to different functions.
var j = query.newJoin( "contacts" )
.on( "users.id", "posts.author_id" );
query.from( "users" ).join( j );SELECT *
FROM `users`
JOIN `posts`
ON `users`.`id` = `posts`.`author_id`Name
Type
Required
Default
Description
table
string
true
The raw SQL string to use as the table.
first
string | | Function
false
The first column or to join the table on. Alternatively, a function can be passed to configure complex join statements.
operator
string
false
"="
The boolean operator for the join clause.
second
string |
false
The second column or to join the table on.
type
string
false
"inner"
The type of the join. Passing this as an argument is discouraged for readability. Use the dedicated methods like and with a join function where possible.
Adds a join to another table based on a WHERE clause instead of an ON clause. WHERE clauses introduce parameters and parameter bindings whereas on clauses join between columns and don't need parameter bindings.
For simple joins, this specifies a column on which to join the two tables:
query.from( "users" )
.joinWhere( "contacts", "contacts.balance", "<", 100 );SELECT *
FROM `users`
JOIN `contacts`
WHERE `contacts`.`balance` < ?For complex joins, a function can be passed to first. This allows multiple on and where conditions to be applied to the join. See the documentation for join for more information.
Name
Type
Required
Default
Description
table
string
true
The raw SQL string to use as the table.
first
string | | Function
false
The first column or to join the table on. Alternatively, a function can be passed to configure complex join statements.
operator
string
false
"="
The boolean operator for the join clause.
second
string |
false
The second column or to join the table on.
type
string
false
"inner"
The type of the join. Passing this as an argument is discouraged for readability. Use the dedicated methods like and where possible.
where
boolean
false
false
Sets if the value of second should be interpreted as a column or a value. Passing this as an argument is discouraged. Use a closure to define the where clauses where possible.
Uses the raw SQL provided to as the table for the join clause. All the other functionality of joinRaw matches the join method. Additionally, there are leftJoinRaw, rightJoinRaw, and crossJoinRaw methods available.
query.from( "users" )
.joinRaw( "posts (nolock)", "users.id", "posts.author_id" );SELECT *
FROM [users]
JOIN posts (nolock)
ON [users].[id] = [posts].[author_id]Using joinRaw will most likely tie your code to a specific database, so think carefully before using the joinRaw method if you want your project to be database agnostic.
Name
Type
Required
Default
Description
alias
string
true
The alias for the derived table.
input
Function | QueryBuilder
true
Either a QueryBuilder instance or a function to define the derived query.
first
string | | Function
true
The first column or to join the table on. Alternatively, a function can be passed to configure complex join statements.
operator
string
false
"="
The boolean operator for the join clause.
second
string |
false
The second column or to join the table on.
type
string
false
"inner"
The type of the join. Passing this as an argument is discouraged for readability. Use the dedicated methods like and where possible.
where
boolean
false
false
Sets if the value of second should be interpreted as a column or a value. Passing this as an argument is discouraged. Use a closure to define the where clauses where possible.
Adds a join to a derived table. All the functionality of the join method applies to constrain the query. The derived table can be defined using a QueryBuilder instance:
var sub = query.newQuery()
.select( "id" )
.from( "contacts" )
.whereNotIn( "id", [ 1, 2, 3 ] );
query.from( "users as u" )
.joinSub( "c", sub, "u.id", "=", "c.id" );SELECT *
FROM `users` AS `u`
JOIN (
SELECT `id`
FROM `contacts`
WHERE `id` NOT IN (?, ?, ?)
) AS `c`
ON `u`.`id` = `c`.`id`Alternatively, a function may be used to define the derived table:
query.from( "users as u" )
.joinSub( "c", function ( q ) {
q.select( "id" )
.from( "contacts" )
.whereNotIn( "id", [ 1, 2, 3 ] );
}, "u.id", "=", "c.id" );SELECT *
FROM `users` AS `u`
JOIN (
SELECT `id`
FROM `contacts`
WHERE `id` NOT IN (?, ?, ?)
) AS `c`
ON `u`.`id` = `c`.`id`Complex join conditions are also possible by passing a function as the third parameter:
query.from( "users as u" )
.joinSub( "c", function ( q ) {
q.select( "id" )
.from( "contacts" )
.whereNotIn( "id", [ 1, 2, 3 ] );
}, function( j ) {
j.on( "u.id", "c.id" );
j.on( "u.type", "c.type" );
} );SELECT *
FROM `users` AS `u`
JOIN (
SELECT `id`
FROM `contacts`
WHERE `id` NOT IN (?, ?, ?)
) AS `c`
ON `u`.`id` = `c`.`id`
AND `u`.`type` = `c`.`type`Name
Type
Required
Default
Description
table
string | |
true
The name of the table or a object from which the query is based. Alternatively, a configured instance can be passed.
(Note: a instance may have a different join type than a left join. The instance's join type will be used.)
first
string | Expression | Function
false
The first column or to join the table on. Alternatively, a function can be passed to configure complex join statements.
operator
string
false
"="
The boolean operator for the join clause.
second
string |
false
The second column or to join the table on.
where
boolean
false
false
Sets if the value of second should be interpreted as a column or a value. Passing this as an argument is discouraged. Use a closure to define the where clauses where possible.
query.from( "posts" )
.leftJoin( "users", "users.id", "posts.author_id" );SELECT *
FROM `posts`
LEFT JOIN `users`
ON `users`.`id` = `posts`.`author_id`Name
Type
Required
Default
Description
table
string
true
The raw SQL string to use as the table.
first
string | | Function
false
The first column or to join the table on. Alternatively, a function can be passed to configure complex join statements.
operator
string
false
"="
The boolean operator for the join clause.
second
string |
false
The second column or to join the table on.
where
boolean
false
false
Sets if the value of second should be interpreted as a column or a value. Passing this as an argument is discouraged. Use a closure to define the where clauses where possible.
Uses the raw SQL provided to as the table for the left join clause. All the other functionality of leftJoinRaw matches the join method.
query.from( "posts" )
.leftJoinRaw( "users (nolock)", "users.id", "posts.author_id" );SELECT *
FROM [posts]
LEFT JOIN users (nolock)
ON [users].[id] = [posts].[author_id]Using leftJoinRaw will most likely tie your code to a specific database, so think carefully before using the leftJoinRaw method if you want your project to be database agnostic.
Name
Type
Required
Default
Description
alias
string
true
The alias for the derived table.
input
Function | QueryBuilder
true
Either a QueryBuilder instance or a function to define the derived query.
first
string | | Function
true
The first column or to join the table on. Alternatively, a function can be passed to configure complex join statements.
operator
string
false
"="
The boolean operator for the join clause.
second
string |
false
The second column or to join the table on.
where
boolean
false
false
Sets if the value of second should be interpreted as a column or a value. Passing this as an argument is discouraged. Use a closure to define the where clauses where possible.
Adds a left join to a derived table. All the functionality of the joinSub method applies to define and constrain the query.
var sub = query.newQuery()
.select( "id" )
.from( "contacts" )
.whereNotIn( "id", [ 1, 2, 3 ] );
query.from( "users as u" )
.leftJoinSub( "c", sub, "u.id", "=", "c.id" );SELECT *
FROM `users` AS `u`
LEFT JOIN (
SELECT `id`
FROM `contacts`
WHERE `id` NOT IN (?, ?, ?)
) AS `c`
ON `u`.`id` = `c`.`id`Name
Type
Required
Default
Description
table
string | |
true
The name of the table or a object from which the query is based. Alternatively, a configured instance can be passed.
(Note: a instance may have a different join type than a right join. The instance's join type will be used.)
first
string | | Function
false
The first column or to join the table on. Alternatively, a function can be passed to configure complex join statements.
operator
string
false
"="
The boolean operator for the join clause.
second
string |
false
The second column or to join the table on.
where
boolean
false
false
Sets if the value of second should be interpreted as a column or a value. Passing this as an argument is discouraged. Use a closure to define the where clauses where possible.
query.from( "users" )
.rightJoin( "posts", "users.id", "posts.author_id" );SELECT *
FROM `users`
RIGHT JOIN `posts`
ON `users`.`id` = `posts`.`author_id`Name
Type
Required
Default
Description
table
string
true
The raw SQL string to use as the table.
first
string | | Function
false
The first column or to join the table on. Alternatively, a function can be passed to configure complex join statements.
operator
string
false
"="
The boolean operator for the join clause.
second
string |
false
The second column or to join the table on.
where
boolean
false
false
Sets if the value of second should be interpreted as a column or a value. Passing this as an argument is discouraged. Use a closure to define the where clauses where possible.
Uses the raw SQL provided to as the table for the right join clause. All the other functionality of rightJoinRaw matches the join method.
query.from( "users" )
.rightJoinRaw( "posts (nolock)", "users.id", "posts.author_id" );SELECT *
FROM [users]
LEFT JOIN posts (nolock)
ON [users].[id] = [posts].[author_id]Using rightJoinRaw will most likely tie your code to a specific database, so think carefully before using the rightJoinRaw method if you want your project to be database agnostic.
Name
Type
Required
Default
Description
alias
string
true
The alias for the derived table.
input
Function | QueryBuilder
true
Either a QueryBuilder instance or a function to define the derived query.
first
string | | Function
true
The first column or to join the table on. Alternatively, a function can be passed to configure complex join statements.
operator
string
false
"="
The boolean operator for the join clause.
second
string |
false
The second column or to join the table on.
where
boolean
false
false
Sets if the value of second should be interpreted as a column or a value. Passing this as an argument is discouraged. Use a closure to define the where clauses where possible.
Adds a right join to a derived table. All the functionality of the joinSub method applies to define and constrain the query.
var sub = query.newQuery()
.select( "id" )
.from( "contacts" )
.whereNotIn( "id", [ 1, 2, 3 ] );
query.from( "users as u" )
.rightJoinSub( "c", sub, "u.id", "=", "c.id" );SELECT *
FROM `users` AS `u`
RIGHT JOIN (
SELECT `id`
FROM `contacts`
WHERE `id` NOT IN (?, ?, ?)
) AS `c`
ON `u`.`id` = `c`.`id`Name
Type
Required
Default
Description
table
string | |
true
The name of the table or a object from which the query is based. Alternatively, a configured instance can be passed.
(Note: a instance may have a different join type than a cross join. The instance's join type will be used.)
query.from( "users" ).crossJoin( "posts" );SELECT *
FROM `users`
CROSS JOIN `posts`Name
Type
Required
Default
Description
table
string
true
The raw SQL string to use as the table.
Uses the raw SQL provided to as the table for the cross join clause. Cross joins cannot be further constrained with on or where clauses.
query.from( "users" ).crossJoinRaw( "posts (nolock)" );SELECT *
FROM [users]
CROSS JOIN posts (nolock)Using crossJoinRaw will most likely tie your code to a specific database, so think carefully before using the crossJoinRaw method if you want your project to be database agnostic.
Name
Type
Required
Default
Description
alias
string
true
The alias for the derived table.
input
Function | QueryBuilder
true
Either a QueryBuilder instance or a function to define the derived query.
Adds a cross join to a derived table. The derived table can be defined using a QueryBuilder instance or a function just as with joinSub. Cross joins cannot be constrained, however.
var sub = query.newQuery()
.select( "id" )
.from( "contacts" )
.whereNotIn( "id", [ 1, 2, 3 ] );
query.from( "users as u" ).crossJoinSub( "c", sub );SELECT *
FROM `users` AS `u`
CROSS JOIN (
SELECT `id`
FROM `contacts`
WHERE `id` NOT IN (?, ?, ?)
)Name
Type
Required
Default
Description
table
string |
true
The name of the table or a object from which the query is based.
type
string
false
"inner"
The type of the join. Valid types are inner, left, right, or cross.
Creates a new JoinClause. A JoinClause is a specialized version of a QueryBuilder. You may call on or orOn to constrain the JoinClause. You may also call any where methods.
Creating a JoinClause directly is useful when you need to share a join between different queries. You can create and configure the JoinClause in a function and pass it to queries as needed.
var j = query.newJoin( "contacts" )
.on( "users.id", "posts.author_id" );
query.from( "users" ).join( j );SELECT *
FROM `users`
JOIN `posts`
ON `users`.`id` = `posts`.`author_id`Although a JoinClause can be passed to join, leftJoin, rightJoin, and crossJoin, the type of the JoinClause will override the type of the function.
// This is still an inner join because
// the JoinClause is an inner join
var j = query.newJoin( "contacts", "inner" )
.on( "users.id", "posts.author_id" );
query.from( "users" ).leftJoin( j );-- This is still an inner join because
-- the JoinClause is an inner join
SELECT *
FROM `users`
JOIN `posts`
ON `users`.`id` = `posts`.`author_id`A JoinClause is a specialized version of a QueryBuilder. You may call on or orOn to constrain the JoinClause. You may also call any where methods.
Name
Type
Required
Default
Description
first
string | | Function
false
The first column or of the condition. Alternatively, a function can be passed to nest conditions with parenthesis.
operator
string
false
"="
The boolean operator for the condition.
second
string |
false
The second column or of the condition.
combinator
string
false
"and"
The boolean combinator for the clause (e.g. "and" or "or").
Applies a join condition to the JoinClause. An alias for whereColumn.
var j = query.newJoin( "contacts" )
.on( "users.id", "posts.author_id" );
query.from( "users" ).join( j );SELECT *
FROM `users`
JOIN `posts`
ON `users`.`id` = `posts`.`author_id`Name
Type
Required
Default
Description
first
string | | Function
false
The first column or of the condition. Alternatively, a function can be passed to nest conditions with parenthesis.
operator
string
false
"="
The boolean operator for the condition.
second
string |
false
The second column or of the condition.
Applies a join condition to the JoinClause using an or combinator. An alias for orWhereColumn.
var j = query.newJoin( "contacts" )
.on( "users.id", "posts.author_id" )
.orOn( "users.id", "posts.reviewer_id" );
query.from( "users" ).join( j );SELECT *
FROM `users`
JOIN `posts`
ON `users`.`id` = `posts`.`author_id`
OR `users`.`id` = `posts`.`reviewer_id`You can optionally configure qb to ignore duplicate joins. With this setting turned on each JoinClause is inspected and checked if it matches any existing JoinClause instances on the query. This is useful if you have a table shared between optional constraints and want to ensure it is only added once.
You can opt-in to this behavior by setting preventDuplicateJoins = true in your moduleSettings in config/ColdBox.cfc.
moduleSettings = {
"qb": {
"preventDuplicateJoins": true
}
};Table of Contents
Name
Type
Required
Default
Description
column
string | | Function
true
The name of the column or with which to constrain the query. A function can be passed to begin a nested where statement.
operator
string |
false
The operator to use for the constraint (i.e. "=", "<", ">=", etc.). A value can be passed as the operator and the value left null as a shortcut for equals (e.g. where( "column", 1 ) == where( "column", "=", 1 ) ).
value
any
false
The value with which to constrain the column. An can be passed as well. If a QueryBuilder or Function is passed, it will be used as a subselect expression.
combinator
string
false
"and"
The boolean combinator for the clause. Valid options are "and" or "or". Avoid passing this parameter explicitly. Where possible use the and methods instead.
Adds a where clause to a query.
query.from( "users" )
.where( "active", "=", 1 );SELECT *
FROM `users`
WHERE `active` = ?You can also pass an Expression as the value.
query.from( "users" )
.where( "last_logged_in", ">", query.raw( "NOW()" ) );SELECT *
FROM `users`
WHERE `last_logged_in` > NOW()Any of the following operators can be used in a where clause.
Valid Operators
=
<
>
<=
>=
<>
!=
like
like binary
not like
between
ilike
&
|
^
<<
>>
rlike
regexp
not regexp
~
~*
!~
!~*
similar to
not similar to
When using the "=" constraint, you can use a shortcut and define the value as the second argument.
query.from( "users" )
.where( "active", 1 );SELECT *
FROM `users`
WHERE `active` = ?To group where statements together, pass a function to the where clause as the only parameter.
query.from( "users" )
.where( function( q ) {
q.where( "active", 1 )
.where( "last_logged_in", ">", dateAdd( "ww", -1, now() ) )
} );SELECT *
FROM `users`
WHERE (
`active` = ?
AND
`last_logged_in` > ?
)A Function or QueryBuilder can be used as a subselect expression when passed to value.
query.from( "users" )
.where( "email", "foo" )
.orWhere( "id", "=", function( q ) {
q.select( q.raw( "MAX(id)" ) )
.from( "users" )
.where( "email", "bar" );
} );SELECT *
FROM `users`
WHERE `email` = ?
OR `id` = (
SELECT MAX(id)
FROM `users`
WHERE `email` = ?
)Name
Type
Required
Default
Description
column
string | | Function
true
The name of the column or with which to constrain the query. A function can be passed to begin a nested where statement.
operator
string |
false
The operator to use for the constraint (i.e. "=", "<", ">=", etc.). A value can be passed as the operator and the value left null as a shortcut for equals (e.g. where( "column", 1 ) == where( "column", "=", 1 ) ).
value
any
false
The value with which to constrain the column. An can be passed as well. If a QueryBuilder or Function is passed, it will be used as a subselect expression.
This method is simply an alias for where with the combinator set to "and".
Name
Type
Required
Default
Description
column
string | | Function
true
The name of the column or with which to constrain the query. A function can be passed to begin a nested where statement.
operator
string |
false
The operator to use for the constraint (i.e. "=", "<", ">=", etc.). A value can be passed as the operator and the value left null as a shortcut for equals (e.g. where( "column", 1 ) == where( "column", "=", 1 ) ).
value
any
false
The value with which to constrain the column. An can be passed as well. If a QueryBuilder or Function is passed, it will be used as a subselect expression.
This method is simply an alias for where with the combinator set to "or".
Name
Type
Required
Default
Description
column
string | Expression
true
The name of the column or with which to constrain the query.
start
any | Function | QueryBuilder
true
The beginning value of the BETWEEN statement. If a function or QueryBuilder is passed it is used as a subselect expression.
end
any | Function | QueryBuilder
true
The end value of the BETWEEN statement. If a function or QueryBuilder is passed it is used as a subselect expression.
combinator
string
false
"and"
The boolean combinator for the clause. Valid options are "and" or "or". Avoid passing this parameter explicitly. Where possible use the andWhere and orWhere instead.
negate
boolean
false
false
False for BETWEEN, True for NOT BETWEEN.
Adds a where between clause to the query.
query.from( "users" )
.whereBetween( "id", 1, 2 );SELECT *
FROM `users`
WHERE `id` BETWEEN ? AND ?If a function or QueryBuilder is passed it is used as a subselect expression.
query.from( "users" )
.whereBetween(
"id",
function( q ) {
q.select( q.raw( "MIN(id)" ) )
.from( "users" )
.where( "email", "bar" );
},
builder.newQuery()
.select( builder.raw( "MAX(id)" ) )
.from( "users" )
.where( "email", "bar" )
);SELECT *
FROM `users`
WHERE `id` BETWEEN (
SELECT MIN(id)
FROM `users`
WHERE `email` = ?
)
AND (
SELECT MAX(id)
FROM `users`
WHERE `email` = ?
)Name
Type
Required
Default
Description
column
string | Expression
true
The name of the column or with which to constrain the query.
start
any | Function | QueryBuilder
true
The beginning value of the BETWEEN statement. If a function or QueryBuilder is passed it is used as a subselect expression.
end
any | Function | QueryBuilder
true
The end value of the BETWEEN statement. If a function or QueryBuilder is passed it is used as a subselect expression.
combinator
string
false
"and"
The boolean combinator for the clause. Valid options are "and" or "or". Avoid passing this parameter explicitly. Where possible use the andWhere and orWhere instead.
Adds a where not in clause to the query. This behaves identically to the whereBetween method with the negateflag set to true. See the documentation for whereBetween for usage and examples.
Name
Type
Required
Default
Description
first
string |
true
The name of the first column or with which to constrain the query.
operator
string |
true
The operator to use for the constraint (i.e. "=", "<", ">=", etc.). A value can be passed as the operator and the value left null as a shortcut for equals (e.g. where( "column", 1 ) == where( "column", "=", 1 ) ).
second
string | Expression
false
The name of the second column or with which to constrain the query.
combinator
string
false
"and"
The boolean combinator for the clause. Valid options are "and" or "or". Avoid passing this parameter explicitly. Where possible use the andWhere and orWhere instead.
Adds a where clause to a query that compares two columns.
query.from( "users" )
.whereColumn( "first_name", "=", "last_name" );SELECT *
FROM `users`
WHERE `first_name` = `last_name`Just as with where, when using "=" as the operator you can use a shorthand passing the second column in as the operator and leaving the second column null.
query.from( "users" )
.whereColumn( "first_name", "last_name" );SELECT *
FROM `users`
WHERE `first_name` = `last_name`Expressions can be passed in place of either column.
query.from( "users" )
.whereColumn( "first_name", query.raw( "LOWER(first_name)" ) );SELECT *
FROM `users`
WHERE `first_name` = LOWER(first_name)Name
Type
Required
Default
Description
query
Function | QueryBuilder
true
A function or QueryBuilder instance to be used as the exists subquery.
combinator
string
false
"and"
The boolean combinator for the clause. Valid options are "and" or "or". Avoid passing this parameter explicitly. Where possible use the andWhere and orWhere instead.
negate
boolean
false
false
False for EXISTS, True for NOT EXISTS.
Adds a where exists clause to the query.
It can be configured with a function.
query.from( "orders" )
.whereExists( function( q ) {
q.select( q.raw( 1 ) )
.from( "products" )
.whereColumn( "products.id", "orders.id" );
} );SELECT *
FROM `orders`
WHERE EXISTS (
SELECT 1
FROM `products`
WHERE `products`.`id` = `orders`.`id`
)It can also be configured with a QueryBuilder instance.
var existsQuery = query.newQuery()
.select( q.raw( 1 ) )
.from( "products" )
.whereColumn( "products.id", "orders.id" );
query.from( "orders" )
.whereExists( existsQuery );SELECT *
FROM `orders`
WHERE EXISTS (
SELECT 1
FROM `products`
WHERE `products`.`id` = `orders`.`id`
)Name
Type
Required
Default
Description
query
Function | QueryBuilder
true
A function or QueryBuilder instance to be used as the not exists subquery.
combinator
string
false
"and"
The boolean combinator for the clause. Valid options are "and" or "or". Avoid passing this parameter explicitly. Where possible use the andWhere and orWhere instead.
Adds a where not in clause to the query. This behaves identically to the whereExists method with the negateflag set to true. See the documentation for whereExists for usage and examples.
Name
Type
Required
Default
Description
column
string |
true
The name of the column or with which to constrain the query.
value
any
false
The value with which to constrain the column. An can be passed as well. If a QueryBuilder or Function is passed, it will be used as a subselect expression.
combinator
string
false
"and"
The boolean combinator for the clause. Valid options are "and" or "or". Avoid passing this parameter explicitly. Where possible use the andWhere and orWhere instead.
A shortcut for calling where with "like" set as the operator.
query.from( "users" )
.whereLike( "username", "J%" );SELECT *
FROM `users`
WHERE `username` LIKE ?Name
Type
Required
Default
Description
column
string |
true
The name of the column or with which to constrain the query.
value
any
false
The value with which to constrain the column. An can be passed as well. If a QueryBuilder or Function is passed, it will be used as a subselect expression.
combinator
string
false
"and"
The boolean combinator for the clause. Valid options are "and" or "or". Avoid passing this parameter explicitly. Where possible use the andWhere and orWhere instead.
A shortcut for calling where with "not like" set as the operator.
query.from( "users" )
.whereNotLike( "username", "J%" );SELECT *
FROM `users`
WHERE `username` NOT LIKE ?Name
Type
Required
Default
Description
column
string | Expression
true
The name of the column or with which to constrain the query.
values
string | array | | Function | QueryBuilder
true
A single value, list of values, or array of values to constrain a column with. may be used in any place a value is used. Alternatively, a function or QueryBuilder instance can be passed in to be used as a subquery expression.
combinator
string
false
"and"
The boolean combinator for the clause. Valid options are "and" or "or". Avoid passing this parameter explicitly. Where possible use the andWhere and orWhere instead.
negate
boolean
false
false
False for IN, True for NOT IN.
Adds a where in clause to the query.
The values passed to whereIn can be a single value, a list of values, or an array of values.
query.from( "orders" )
.whereIn( "id", [ 1, 4, 66 ] );SELECT *
FROM `orders`
WHERE `id` IN (?, ?, ?)Some database grammars have a hard limit on the number of parameters passed to a SQL statement. Keep this in mind while writing your queries.
If a list of values is passed in, it is converted to an array of values using a single comma (",") delimiter.
query.from( "orders" )
.whereIn( "id", "1,4,66" );SELECT *
FROM `orders`
WHERE `id` IN (?, ?, ?)Any value in the list or array can also be passed using a custom parameter type to have more control over the parameter settings.
query.from( "orders" )
.whereIn( "id", [ 1, 4, { value = "66", cfsqltype = "CF_SQL_VARCHAR" } ] );SELECT *
FROM `orders`
WHERE `id` IN (?, ?, ?)Expressions can be freely mixed in with other values.
query.from( "orders" )
.whereIn( "id", [ query.raw( "MAX(id)" ), 4, 66 ] );SELECT *
FROM `orders`
WHERE `id` IN (MAX(id), ?, ?)A function or QueryBuilder instance can be passed to be used as a subquery expression instead of a list of values.
query.from( "users" )
.whereIn( "id", function( q ) {
q.select( "id" )
.from( "users" )
.where( "age", ">", 25 );
} );SELECT *
FROM `users`
WHERE IN (
SELECT `id`
FROM `users`
WHERE `age` > ?
)You may find a whereExists method performs better for you than a whereIn with a subquery.
Name
Type
Required
Default
Description
column
string | Expression
true
The name of the column or with which to constrain the query.
values
string | array | | Function | QueryBuilder
true
A single value, list of values, or array of values to constrain a column with. may be used in any place a value is used. Alternatively, a function or QueryBuilder instance can be passed in to be used as a subquery expression.
combinator
string
false
"and"
The boolean combinator for the clause. Valid options are "and" or "or". Avoid passing this parameter explicitly. Where possible use the andWhere and orWhere instead.
Adds a where not in clause to the query. This behaves identically to the whereIn method with the negateflag set to true. See the documentation for whereIn for usage and examples.
Name
Type
Required
Default
Description
sql
string
true
The raw SQL to add to the query.
whereBindings
array
false
[]
Any bindings needed for the raw SQL. Bindings can be simple values or .
combinator
string
false
"and"
The boolean combinator for the clause. Valid options are "and" or "or". Avoid passing this parameter explicitly. Where possible use the andWhere and orWhere instead.
Shorthand to add a raw SQL statement to the where clauses.
query.from( "users" )
.whereRaw(
"id = ? OR email = ? OR is_admin = 1",
[ 1, "foo" ]
);SELECT *
FROM `users`
WHERE id = ? OR email = ? OR is_admin = 1Name
Type
Required
Default
Description
column
string | Expression
true
The name of the column to check if it is NULL. Can also pass an .
combinator
string
false
"and"
The boolean combinator for the clause. Valid options are "and" or "or". Avoid passing this parameter explicitly. Where possible use the andWhere and orWhere instead.
negate
boolean
false
false
False for NULL, True for NOT NULL.
Adds a where null clause to the query.
query.from( "users" )
.whereNull( "id" );SELECT *
FROM `users`
WHERE `id` IS NULLName
Type
Required
Default
Description
column
string | Expression
true
The name of the column to check if it is NULL. Can also pass an .
combinator
string
false
"and"
The boolean combinator for the clause. Valid options are "and" or "or". Avoid passing this parameter explicitly. Where possible use the andWhere and orWhere instead.
negate
boolean
false
false
False for NULL, True for NOT NULL.
Adds a where not in clause to the query. This behaves identically to the whereNull method with the negateflag set to true. See the documentation for whereNull for usage and examples.
qb uses onMissingMethod to provide a few different helpers when working with where... methods.
Every where... method in qb can be called prefixed with either and or or. Doing so will call the original method using the corresponding combinator.
query.from( "users" )
.where( "username", "like", "j%" )
.andWhere( function( q ) {
q.where( "isSubscribed", 1 )
.orWhere( "isOnFreeTrial", 1 );
} );SELECT *
FROM `users`
WHERE `username` LIKE ?
AND (
`isSubscribed` = ?
OR
`isOnFreeTrial` = ?
)If you call a method starting with where that does not match an existing qb method, qb will instead call the where method using the rest of the method name as the first column name. (The rest of the arguments will be shifted to account for this.) This also applies to andWhere{Column} and orWhere{Column} method signatures.
query.from( "users" )
.whereUsername( "like", "j%" )
.whereActive( 1 );SELECT *
FROM `users`
WHERE `username` LIKE ?
AND `active` = ?The Blueprint object has many column types available to construct your table schema. Additionally, you can modify the columns created with an additional set of methods and indexes.
Create an auto-incrementing column using an unsigned BIGINT type. This column is also set as the primary key for the table.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
indexName
string
false
The name for the primary key index. If no name is passed in, the name will be dynamically created based off of the table name and column name.
Example:
SchemaBuilder
schema.create( "users", function( table ) {
table.bigIncrements( "id" );
} );SQL (MySQL)
CREATE TABLE `users` (
`id` BIGINT UNSIGNED NOT NULL AUTO_INCREMENT,
CONSTRAINT `pk_users_id` PRIMARY KEY (`id`)
)Create a column using a BIGINT equivalent type for your database.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
precision
numeric
false
The precision for the column.
Example (no precision):
SchemaBuilder
schema.create( "users", function( table ) {
table.bigInteger( "salary" );
} );SQL (MySQL)
CREATE TABLE `users` (
`salary` BIGINT NOT NULL
)Example (with precision):
SchemaBuilder
schema.create( "users", function( table ) {
table.bigInteger( "salary", 5 );
} );SQL (MySQL)
CREATE TABLE `users` (
`salary` BIGINT(5) NOT NULL
)Create a column using a BIT equivalent type for your database. The length can be specified as the second argument.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
length
numeric
false
1
The length for the column.
Example (default length):
SchemaBuilder
schema.create( "users", function( table ) {
table.bit( "is_active" );
} );SQL (MySQL)
CREATE TABLE `users` (
`is_active` BIT(1) NOT NULL
)Example (custom length):
SchemaBuilder
schema.create( "users", function( table ) {
table.bit( "is_active", 2 );
} );SQL (MySQL)
CREATE TABLE `users` (
`is_active` BIT(2) NOT NULL
)Create a column using a BOOLEAN equivalent type for your database.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
Example:
SchemaBuilder
schema.create( "users", function( table ) {
table.boolean( "is_subscribed" );
} );SQL (MySQL)
CREATE TABLE `users` (
`is_subscribed` TINYINT(1) NOT NULL
)Create a column using a CHAR equivalent type for your database.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
length
numeric
false
1
The length for the column.
Example (default length):
SchemaBuilder
schema.create( "students", function( table ) {
table.char( "grade" );
} );SQL (MySQL)
CREATE TABLE `students` (
`grade` CHAR(1) NOT NULL
)Example (custom length):
SchemaBuilder
schema.create( "users", function( table ) {
table.char( "tshirt_size", 4 );
} );SQL (MySQL)
CREATE TABLE `users` (
`tshirt_size` CHAR(4) NOT NULL
)Create a column using a DATE equivalent type for your database.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
Example:
SchemaBuilder
schema.create( "users", function( table ) {
table.date( "birthday" );
} );SQL (MySQL)
CREATE TABLE `users` (
`birthday` DATE NOT NULL
)Create a column using a DATETIME equivalent type for your database.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
Example:
SchemaBuilder
schema.create( "users", function( table ) {
table.datetime( "hire_date" );
} );SQL (MySQL)
CREATE TABLE `users` (
`hire_date` DATETIME NOT NULL
)Create a column using a timezone-specific DATETIME equivalent type for your database.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
Example:
SchemaBuilder
schema.create( "posts", function( table ) {
table.datetimeTz( "posted_date" );
} );SQL (SQL Server)
CREATE TABLE [posts] (
[posted_date] DATETIMEOFFSET NOT NULL
)Create a column using a DECIMAL equivalent type for your database. The length and precision can be specified as the second and third arguments.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
length
numeric
false
10
The length of the column.
precision
numeric
false
0
The precision of the column.
Example (with defaults):
SchemaBuilder
schema.create( "weather", function( table ) {
table.decimal( "temperature" );
} );SQL (MySQL)
CREATE TABLE `weather` (
`temperature` DECIMAL(10,0) NOT NULL
)Example (with length):
SchemaBuilder
schema.create( "weather", function( table ) {
table.decimal( "temperature", 4 );
} );SQL (MySQL)
CREATE TABLE `weather` (
`temperature` DECIMAL(4,0) NOT NULL
)Example (with precision):
SchemaBuilder
schema.create( "weather", function( table ) {
table.decimal( name = "temperature", precision = 2 );
} );SQL (MySQL)
CREATE TABLE `weather` (
`temperature` DECIMAL(10,2) NOT NULL
)Create a column using a ENUM equivalent type for your database.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
Example:
SchemaBuilder
schema.create( "users", function( table ) {
table.enum( "tshirt_size", [ "S", "M", "L", "XL", "XXL" ] );
} );SQL (MySQL)
CREATE TABLE `users` (
`tshirt_size` ENUM(`S`, `M`, `L`, `XL`, `XXL`) NOT NULL
)Create a column using a FLOAT equivalent type for your database. The length and precision can be specified as the second and third arguments.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
length
numeric
false
10
The length of the column.
precision
numeric
false
0
The precision of the column.
Example (with defaults):
SchemaBuilder
schema.create( "weather", function( table ) {
table.float( "temperature" );
} );SQL (MySQL)
CREATE TABLE `weather` (
`temperature` FLOAT(10,0) NOT NULL
)Example (with length):
SchemaBuilder
schema.create( "weather", function( table ) {
table.float( "temperature", 4 );
} );SQL (MySQL)
CREATE TABLE `weather` (
`temperature` FLOAT(4,0) NOT NULL
)Example (with precision):
SchemaBuilder
schema.create( "weather", function( table ) {
table.float( name = "temperature", precision = 2 );
} );SQL (MySQL)
CREATE TABLE `weather` (
`temperature` FLOAT(10,2) NOT NULL
)SQL Server: Create a column using a uniqueidentifier.
MySQL and Others: Create a column using a CHAR equivalent type for your database and a length of 36. Used in conjunction with the Lucee createGUID method or Java's java.util.UUID.randomUUID().
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
Example:
SchemaBuilder
schema.create( "users", function( table ) {
table.guid( "id" ).primaryKey();
} );MySQL (SQL Server)
CREATE TABLE `games` (
`id` uniqueidentifier NOT NULL,
CONSTRAINT `pk_games_id` PRIMARY KEY (`id`)
)SQL (MySQL)
CREATE TABLE `games` (
`id` VARCHAR(36) NOT NULL,
CONSTRAINT `pk_games_id` PRIMARY KEY (`id`)
)Create an auto-incrementing column using an unsigned INTEGER type. This column is also set as the primary key for the table.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
indexName
string
false
The name for the primary key index. If no name is passed in, the name will be dynamically created based off of the table name and column name.
Example:
SchemaBuilder
schema.create( "users", function( table ) {
table.increments( "id" );
} );SQL (MySQL)
CREATE TABLE `users` (
`id` INTEGER UNSIGNED NOT NULL AUTO_INCREMENT,
CONSTRAINT `pk_users_id` PRIMARY KEY (`id`)
)Create a column using a INTEGER equivalent type for your database.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
precision
numeric
false
The precision for the column.
Example (no precision):
SchemaBuilder
schema.create( "games", function( table ) {
table.integer( "score" );
} );SQL (MySQL)
CREATE TABLE `games` (
`score` INTEGER NOT NULL
)Example (with precision):
SchemaBuilder
schema.create( "games", function( table ) {
table.integer( "score", 3 );
} );SQL (MySQL)
CREATE TABLE `games` (
`score` INTEGER(3) NOT NULL
)Create a column using a JSON equivalent type for your database.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
Example:
SchemaBuilder
schema.create( "users", function( table ) {
table.json( "options" ).nullable();
} );SQL (MySQL)
CREATE TABLE `users` (
`options` JSON
)Create a column using a LINESTRING equivalent type for your database.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
Example:
SchemaBuilder
schema.create( "users", function( table ) {
table.lineString( "positions" );
} );SQL (MySQL)
CREATE TABLE `users` (
`positions` LINESTRING NOT NULL
)Create a column using a LONGTEXT equivalent type for your database.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
Example:
SchemaBuilder
schema.create( "posts", function( table ) {
table.longText( "body" );
} );SQL (MySQL)
CREATE TABLE `posts` (
`body` LONGTEXT NOT NULL
)Create an auto-incrementing column using an unsigned MEDIUMINT type. This column is also set as the primary key for the table.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
indexName
string
false
The name for the primary key index. If no name is passed in, the name will be dynamically created based off of the table name and column name.
Example:
SchemaBuilder
schema.create( "users", function( table ) {
table.mediumIncrements( "id" );
} );SQL (MySQL)
CREATE TABLE `users` (
`id` MEDIUMINT UNSIGNED NOT NULL AUTO_INCREMENT,
CONSTRAINT `pk_users_id` PRIMARY KEY (`id`)
)Create a column using a MEDIUMINT equivalent type for your database.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
precision
numeric
false
10
The precision for the column.
Example (no precision):
SchemaBuilder
schema.create( "games", function( table ) {
table.mediumInteger( "score" );
} );SQL (MySQL)
CREATE TABLE `games` (
`score` MEDIUMINT NOT NULL
)Example (with precision):
SchemaBuilder
schema.create( "games", function( table ) {
table.mediumInteger( "score", 5 );
} );SQL (MySQL)
CREATE TABLE `games` (
`score` MEDIUMINT(5) NOT NULL
)Create a column using a MEDIUMTEXT equivalent type for your database. For databases that distinguish between unicode and non-unicode fields, creates a non-unicode field.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
Example:
SchemaBuilder
schema.create( "posts", function( table ) {
table.mediumText( "body" );
} );SQL (MySQL)
CREATE TABLE `posts` (
`body` MEDIUMTEXT NOT NULL
)SQL (MSSQL)
CREATE TABLE `posts` (
`body` VARCHAR(MAX) NOT NULL
)Create a column using a MONEY equivalent type for your database.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
Example:
SchemaBuilder
schema.create( "transactions", function( table ) {
table.money( "amount" );
} );SQL (MySQL)
CREATE TABLE `transactions` (
`amount` INTEGER NOT NULL
)SQL (MSSQL)
CREATE TABLE [transactions] (
[amount] MONEY NOT NULL
)Creates the necessary columns for a polymorphic relationship. It takes the name provided and creates an _id and an _type column.
If you want different names for your polymorphic relationship columns, feel free to call other schema builder methods individually.
Argument
Type
Required
Default
Description
name
string
true
The prefix for the polymorphic columns.
Example:
SchemaBuilder
schema.create( "tags", function( table ) {
table.morphs( "taggable" );
} );SQL (MySQL)
CREATE TABLE `tags` (
`taggable_id` INTEGER UNSIGNED NOT NULL,
`taggable_type` VARCHAR(255) NOT NULL,
INDEX `taggable_index` (`taggable_id`, `taggable_type`)
)Creates the necessary columns for a polymorphic relationship. It takes the name provided and creates an _id and an _type column. The only difference between this method and morphs is that the columns created here are nullable.
If you want different names for your polymorphic relationship columns, feel free to call other schema builder methods individually.
Argument
Type
Required
Default
Description
name
string
true
The prefix for the polymorphic columns.
Example:
SchemaBuilder
schema.create( "tags", function( table ) {
table.nullableMorphs( "taggable" );
} );SQL (MySQL)
CREATE TABLE `tags` (
`taggable_id` INTEGER UNSIGNED,
`taggable_type` VARCHAR(255),
INDEX `taggable_index` (`taggable_id`, `taggable_type`)
)Creates the createdDate and modifiedDate TIMESTAMP columns. It creates the columns as nullable.
If you want different names for your timestamp columns, feel free to call other schema builder methods individually.
Argument
Type
Required
Default
Description
No arguments
Example:
SchemaBuilder
schema.create( "posts", function( table ) {
table.nullableTimestamps();
} );SQL (MySQL)
CREATE TABLE `posts` (
`createdDate` TIMESTAMP,
`modifiedDate` TIMESTAMP
)Create a column using a POINT equivalent type for your database.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
Example:
SchemaBuilder
schema.create( "users", function( table ) {
table.point( "position" );
} );SQL (MySQL)
CREATE TABLE `users` (
`position` POINT NOT NULL
)Create a column using a POLYGON equivalent type for your database.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
Example:
SchemaBuilder
schema.create( "users", function( table ) {
table.polygon( "positions" );
} );SQL (MySQL)
CREATE TABLE `users` (
`positions` POLYGON NOT NULL
)An escape hatch to directly insert any sql in to the statement.
Argument
Type
Required
Default
Description
sql
string
true
The sql to insert directly into the statement.
Example:
SchemaBuilder
schema.create( "users", function( table ) {
table.raw( "`profile_image` BLOB NOT NULL" );
} );SQL (MySQL)
CREATE TABLE `users` (
`profile_image` BLOB NOT NULL
)Create an auto-incrementing column using an unsigned SMALLINT type. This column is also set as the primary key for the table.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
indexName
string
false
The name for the primary key index. If no name is passed in, the name will be dynamically created based off of the table name and column name.
Example:
SchemaBuilder
schema.create( "users", function( table ) {
table.smallIncrements( "id" );
} );SQL (MySQL)
CREATE TABLE `users` (
`id` SMALLINT UNSIGNED NOT NULL AUTO_INCREMENT,
CONSTRAINT `pk_users_id` PRIMARY KEY (`id`)
)Create a column using a SMALLINT equivalent type for your database.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
precision
numeric
false
The precision for the column.
Example (no precision):
SchemaBuilder
schema.create( "games", function( table ) {
table.smallInteger( "score" );
} );SQL (MySQL)
CREATE TABLE `games` (
`score` SMALLINT NOT NULL
)Example (with precision):
SchemaBuilder
schema.create( "games", function( table ) {
table.smallInteger( "score", 3 );
} );SQL (MySQL)
CREATE TABLE `games` (
`score` SMALLINT(3) NOT NULL
)Create a column using a SMALLMONEY equivalent type for your database.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
Example:
SchemaBuilder
schema.create( "transactions", function( table ) {
table.smallMoney( "amount" );
} );SQL (MySQL)
CREATE TABLE `transactions` (
`amount` INTEGER NOT NULL
)SQL (MSSQL)
CREATE TABLE [transactions] (
[amount] SMALLMONEY NOT NULL
)Creates a nullable deletedDate TIMESTAMP column.
If you want different names for your timestamp column, feel free to call other schema builder methods individually.
Argument
Type
Required
Default
Description
No arguments
Example:
SchemaBuilder
schema.create( "posts", function( table ) {
table.softDeletes();
} );SQL (MySQL)
CREATE TABLE `posts` (
`deletedDate` TIMESTAMP
)Creates a nullable deletedDate timezone-specific TIMESTAMP column.
If you want different names for your timestamp column, feel free to call other schema builder methods individually.
Argument
Type
Required
Default
Description
No arguments
Example:
SchemaBuilder
schema.create( "posts", function( table ) {
table.softDeletesTz();
} );SQL (SQL Server)
CREATE TABLE [posts] (
[deletedDate] DATETIMEOFFSET
)Create a column using a VARCHAR equivalent type for your database. For databases that distinguish between unicode- and non-unicode string data types, this function will create a non-unicode string.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
length
numeric
false
255
The length of the column.
Example (with defaults):
SchemaBuilder
schema.create( "users", function( table ) {
table.string( "username" );
} );SQL (MySQL)
CREATE TABLE `users` (
`username` VARCHAR(255) NOT NULL
)Example (with length):
SchemaBuilder
schema.create( "users", function( table ) {
table.string( "username", 50 );
} );SQL (MySQL)
CREATE TABLE `users` (
`username` VARCHAR(50) NOT NULL
)Create a column using a TEXT equivalent type for your database. For databases that distinguish between unicode- and non-unicode string data types, this function will create a non-unicode text field.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
Example:
SchemaBuilder
schema.create( "posts", function( table ) {
table.text( "body" );
} );SQL (MySQL)
CREATE TABLE `posts` (
`body` TEXT NOT NULL
)Create a column using a TIME equivalent type for your database.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
Example:
SchemaBuilder
schema.create( "recurring_tasks", function( table ) {
table.time( "fire_time" );
} );SQL (Postgres)
CREATE TABLE "recurring_tasks" (
"fire_time" TIME NOT NULL
)Create a column using a timezone-specific TIME equivalent type for your database.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
Example:
SchemaBuilder
schema.create( "recurring_tasks", function( table ) {
table.timeTz( "fire_time" );
} );SQL (Postgres)
CREATE TABLE "recurring_tasks" (
"fire_time" TIME WITH TIME ZONE NOT NULL
)Create a column using a TIMESTAMP equivalent type for your database.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
Example:
SchemaBuilder
schema.create( "users", function( table ) {
table.timestamp( "created_at" );
} );SQL (MySQL)
CREATE TABLE `users` (
`created_at` TIMESTAMP NOT NULL
)Creates the createdDate and modifiedDate TIMESTAMP columns.
If you want different names for your timestamp columns, feel free to call other schema builder methods individually.
Argument
Type
Required
Default
Description
No arguments
Example:
SchemaBuilder
schema.create( "posts", function( table ) {
table.timestamps();
} );SQL (MySQL)
CREATE TABLE `posts` (
`createdDate` TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
`modifiedDate` TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP
)Create a column using a timezone-specific TIMESTAMP equivalent type for your database.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
Example:
SchemaBuilder
schema.create( "posts", function( table ) {
table.timestampTz( "posted_date" );
} );SQL (Postgres)
CREATE TABLE "posts" (
"posted_date" TIMESTAMP WITH TIME ZONE NOT NULL
)Creates the createdDate and modifiedDate timezone-specific TIMESTAMP columns.
If you want different names for your timestamp columns, feel free to call other schema builder methods individually.
Argument
Type
Required
Default
Description
No arguments
Example:
SchemaBuilder
schema.create( "posts", function( table ) {
table.timestampsTz();
} );SQL (Postgres)
CREATE TABLE "posts" (
"createdDate" TIMESTAMP WITH TIME ZONE NOT NULL,
"modifiedDate" TIMESTAMP WITH TIME ZONE NOT NULL
)Create an auto-incrementing column using an unsigned TINYINT type. This column is also set as the primary key for the table.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
indexName
string
false
The name for the primary key index. If no name is passed in, the name will be dynamically created based off of the table name and column name.
Example:
SchemaBuilder
schema.create( "users", function( table ) {
table.tinyIncrements( "id" );
} );SQL (MySQL)
CREATE TABLE `users` (
`id` TINYINT UNSIGNED NOT NULL AUTO_INCREMENT,
CONSTRAINT `pk_users_id` PRIMARY KEY (`id`)
)Create a column using a TINYINT equivalent type for your database.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
precision
numeric
false
The precision for the column.
Example (no precision):
SchemaBuilder
schema.create( "games", function( table ) {
table.tinyInteger( "score" );
} );SQL (MySQL)
CREATE TABLE `games` (
`score` TINYINT NOT NULL
)Example (with precision):
SchemaBuilder
schema.create( "games", function( table ) {
table.tinyInteger( "score", 3 );
} );SQL (MySQL)
CREATE TABLE `games` (
`score` TINYINT(3) NOT NULL
)Create a column using a LONGTEXT equivalent type for your database. For databases that distinguish between unicode- and non-unicode string data types, this function will create a unicode text field.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
Example:
SchemaBuilder
schema.create( "posts", function( table ) {
table.longText( "body" );
} );SQL (MySQL)
CREATE TABLE `posts` (
`body` LONGTEXT NOT NULL
)SQL (MSSQL)
CREATE TABLE [posts] (
[body] NVARCHAR(MAX) NOT NULL
)Create a unicode-enabled column using a MEDIUMTEXT equivalent type for your database. For databases that distinguish between unicode- and non-unicode string data types, this function will create a unicode text field.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
Example:
SchemaBuilder
schema.create( "posts", function( table ) {
table.unicodeMediumText( "body" );
} );SQL (MySQL)
CREATE TABLE `posts` (
`body` MEDIUMTEXT NOT NULL
)SQL (MSSQL)
CREATE TABLE [posts] (
[body] NVARCHAR(MAX) NOT NULL
)Create a column using a NVARCHAR equivalent type for your database. For databases that distinguish between unicode- and non-unicode string data types, this function will create a unicode string.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
length
numeric
false
255
The length of the column.
Example (with defaults):
SchemaBuilder
schema.create( "users", function( table ) {
table.unicodeString( "username" );
} );SQL (MySQL)
CREATE TABLE `users` (
`username` VARCHAR(255) NOT NULL
)SQL (MSSQL)
CREATE TABLE [users] (
[username] NVARCHAR(255) NOT NULL
)Example (with length):
SchemaBuilder
schema.create( "users", function( table ) {
table.unicodeString( "username", 50 );
} );SQL (MySQL)
CREATE TABLE `users` (
`username` VARCHAR(50) NOT NULL
)SQL (MSSQL)
CREATE TABLE [users] (
[username] NVARCHAR(50) NOT NULL
)Create a column using a NTEXT equivalent type for your database.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
Example:
SchemaBuilder
schema.create( "posts", function( table ) {
table.unicodeText( "body" );
} );SQL (MySQL)
CREATE TABLE `posts` (
`body` TEXT NOT NULL
)SQL (MSSQL)
CREATE TABLE [posts] (
[body] NVARCHAR(MAX) NOT NULL
)Create a column using a UNSIGNED BIGINT equivalent type for your database.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
precision
numeric
false
The precision for the column.
Example (no precision):
SchemaBuilder
schema.create( "games", function( table ) {
table.unsignedBigInteger( "score" );
} );SQL (MySQL)
CREATE TABLE `games` (
`score` BIGINT UNSIGNED NOT NULL
)Example (with precision):
SchemaBuilder
schema.create( "games", function( table ) {
table.unsignedBigInteger( "score", 3 );
} );SQL (MySQL)
CREATE TABLE `games` (
`score` BIGINT(3) UNSIGNED NOT NULL
)Create a column using a UNSIGNED INTEGER equivalent type for your database.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
precision
numeric
false
The precision for the column.
Example (no precision):
SchemaBuilder
schema.create( "games", function( table ) {
table.unsignedInteger( "score" );
} );SQL (MySQL)
CREATE TABLE `games` (
`score` INTEGER UNSIGNED NOT NULL
)Example (with precision):
SchemaBuilder
schema.create( "games", function( table ) {
table.unsignedInteger( "score", 3 );
} );SQL (MySQL)
CREATE TABLE `games` (
`score` INTEGER(3) UNSIGNED NOT NULL
)Create a column using a UNSIGNED MEDIUMINT equivalent type for your database.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
precision
numeric
false
The precision for the column.
Example (no precision):
SchemaBuilder
schema.create( "games", function( table ) {
table.unsignedMediumInteger( "score" );
} );SQL (MySQL)
CREATE TABLE `games` (
`score` MEDIUMINT UNSIGNED NOT NULL
)Example (with precision):
SchemaBuilder
schema.create( "games", function( table ) {
table.unsignedMediumInteger( "score", 3 );
} );SQL (MySQL)
CREATE TABLE `games` (
`score` MEDIUMINT(3) UNSIGNED NOT NULL
)Create a column using a UNSIGNED SMALLINT equivalent type for your database.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
precision
numeric
false
The precision for the column.
Example (no precision):
SchemaBuilder
schema.create( "games", function( table ) {
table.unsignedSmallInteger( "score" );
} );SQL (MySQL)
CREATE TABLE `games` (
`score` SMALLINT UNSIGNED NOT NULL
)Example (with precision):
SchemaBuilder
schema.create( "games", function( table ) {
table.unsignedSmallInteger( "score", 3 );
} );SQL (MySQL)
CREATE TABLE `games` (
`score` SMALLINT(3) UNSIGNED NOT NULL
)Create a column using a UNSIGNED TINYINT equivalent type for your database.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
precision
numeric
false
The precision for the column.
Example (no precision):
SchemaBuilder
schema.create( "games", function( table ) {
table.unsignedTinyInteger( "score" );
} );SQL (MySQL)
CREATE TABLE `games` (
`score` TINYINT UNSIGNED NOT NULL
)Example (with precision):
SchemaBuilder
schema.create( "games", function( table ) {
table.unsignedTinyInteger( "score", 3 );
} );SQL (MySQL)
CREATE TABLE `games` (
`score` TINYINT(3) UNSIGNED NOT NULL
)Creates a column using a CHAR equivalent type for your database and a length of 35. Used in conjunction with the CFML createUUID method.
Argument
Type
Required
Default
Description
name
string
true
The name for the column.
Example:
SchemaBuilder
schema.create( "users", function( table ) {
table.uuid( "id" ).primaryKey();
} );SQL (MySQL)
CREATE TABLE `games` (
`id` VARCHAR(35) NOT NULL,
CONSTRAINT `pk_games_id` PRIMARY KEY (`id`)
)