Only this pageAll pages
Powered by GitBook
1 of 43

8.8.0

Loading...

Loading...

Loading...

Loading...

Loading...

Query Builder

Loading...

Loading...

Loading...

Loading...

Loading...

Loading...

Loading...

Loading...

Loading...

Loading...

Loading...

Loading...

Loading...

Loading...

Loading...

Loading...

Loading...

Loading...

Loading...

Loading...

Loading...

Loading...

Loading...

Loading...

Loading...

Loading...

Loading...

Schema Builder

Loading...

Loading...

Loading...

Loading...

Loading...

Loading...

Loading...

Loading...

External Links

Retrieving Results

get

Name

Type

Required

Default

Description

columns

The get method is the most common method used for retrieving results. It executes using the configured QueryBuilder and returns the results.

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.

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.

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.

An expression can also be passed to values:

The values method will return the expression given for each row as a simple array.

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.

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:

The value method will return the expression given for the first row found.

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.

Generates a pagination struct along with the results of the executed query. It does this by calling both count and forPage.

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).

A pagination collector is the name given to the struct returned from calling the method. It can be a struct or a component. It needs one function defined and will be passed the following parameters.

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 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.

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.

QueryBuilder
query.from( "users" ).get();
SQL (MySQL)
SELECT * FROM `users`
QueryBuilder
query.from( "users" ).get( [ "id", "name" ] );
SQL (MySQL)
SELECT `id`, `name` FROM `users`

Name

Type

Required

Default

Description

options

struct

QueryBuilder
query.from( "users" ).first();
SQL (MySQL)
SELECT * FROM `users`
 LIMIT(1)

Name

Type

Required

Default

Description

column

any

QueryBuilder
query.from( "users" ).values( "firstName" );
Result
[ "jon", "jane", "jill", ... ]
qb.from( "users" ).values( qb.raw( "CONCAT(fname, ' ', lname) AS fullName" ) );

Name

Type

Required

Default

Description

column

string

query.from( "users" ).valuesRaw( "CONCAT(fname, ' ', lname) AS fullName" );

Name

Type

Required

Default

Description

column

any

QueryBuilder
query.from( "users" ).value( "firstName" );
Result
"jon"
qb.from( "users" ).value( qb.raw( "CONCAT(fname, ' ', lname) AS fullName" ) );

Name

Type

Required

Default

Description

column

string

query.from( "users" ).valueRaw( "CONCAT(fname, ' ', lname) AS fullName" );

Name

Type

Default

Description

max

numeric

QueryBuilder
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

QueryBuilder
query.from( "users" )
    .paginate();
Results
{
    "pagination": {
        "maxRows": 25,
        "offset": 0,
        "page": 1,
        "totalPages": 2,
        "totalRecords": 45
    },
    "results": [ { /* ... */ }, ]
}

Name

Type

Required

Default

Description

page

numeric

QueryBuilder
query.from( "users" )
    .simplePaginate();
Results
{
    "pagination": {
        "maxRows": 25,
        "offset": 0,
        "page": 1,
        "hasMore": true
    },
    "results": [ { /* ... */ }, ]
}

Name

Type

Description

totalRecords

numeric

The total records count.

Name

Type

Description

results

any

The results of the query execution. It will be passed as whatever return format the user has defined.

first

values

The function can make this pattern more ergonomic.

valuesRaw

value

The function can make this pattern more ergonomic.

valueRaw

chunk

paginate

simplePaginate

Custom Pagination Collectors

generateWithResults

generateSimpleWithResults

If you use a custom paginationCollector, ensure it has been updated with this new generateSimpleWithResults method before calling simplePaginate.

paginate
cbpaginator

false

{}

Any additional queryExecute options.

true

The name of the column to retrieve or an to retrieve.

options

struct

false

{}

Any additional queryExecute options.

true

The sql to use as an .

options

struct

false

{}

Any additional queryExecute options.

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.

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 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.

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.

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.

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.

page

numeric

The current page number.

maxRows

numeric

The maximum number of rows retrieved per page.

valuesRaw
valueRaw
Expression
Expression
Expression
Expression

Executing Queries

Inserts, Updates, and Deletes

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"
}

insert, update, and delete actions always return a query object for query, regardless of your configured returnFormat.

insert

Name
Type
Required
Default
Description

values

You can insert a single record by passing a struct:

You can specify any options such as the SQL type by passing a struct with the parameters you would pass to .

Raw values can be supplied to an insert statement.

Multiple rows can be inserted in a batch by passing an array of structs to insert.

Name
Type
Required
Default
Description

Inserts data into a table while ignoring duplicate key conflicts.

Name
Type
Required
Default
Description

Inserts data into a table using a subquery as the source.

You can also pass in an array of column names to avoid aliasing in your source query.

Alternatively, the source can be defined as a QueryBuilder object:

Specifies columns to be returned from the insert query.

Updates a table with a struct of column and value pairs.

You can specify any options such as the SQL type by passing a struct with the parameters you would pass to .

Any constraining of the update query should be done using the appropriate statement before calling update.

You can update a column based on another column using a raw expression.

Null values can be inserted by using queryparam syntax:

if you are using full null support the following (easier) syntax is also allowed:

Subselects can be used to update values by passing a closure as the value

You can also pass a builder instance in place of the closure.

qb will correctly format JOIN clauses in your UPDATE statements for your database grammar.

Adds values to a later , similar to .

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.

If the configured query returns 0 records, then an insert statement is performed.

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.

The update clause in a upsert can also accept raw values, making it very useful for tracking data like statistics.

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.

Deletes all records that the query returns.

The id argument is a convenience to delete a single record by id.

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.

QueryBuilder
query.from( "users" )
    .insert( {
        "name" = "Robert",
        "email" = "robert@test.com",
        "age" = 55
    } );
MySQL
INSERT INTO `users` (`age`, `email`, `name`)
VALUES (?, ?, ?)
QueryBuilder
query.from( "users" )
    .insert( {
        "name" = "Robert",
        "email" = "robert@test.com",
        "age" = { value = 55, cfsqltype = "CF_SQL_INTEGER" }
    } );
MySQL
INSERT INTO `users` (`age`, `email`, `name`)
VALUES (?, ?, ?)
QueryBuilder
query.from( "users" )
    .insert( {
        "name" = "Robert",
        "email" = "robert@test.com",
        "updatedDate" = query.raw( "NOW()" )
    } );
MySQL
INSERT INTO `users` (`age`, `email`, `updatedDate`)
VALUES (?, ?, NOW())
QueryBuilder
query.from( "users" ).insert( [
    { "email" = "john@example.com", "name" = "John Doe" },
    { "email" = "jane@example.com", "name" = "Jane Doe" }
] );
INSERT INTO `users` (`email`, `name`)
VALUES (?, ?), (?, ?)
INSERT ALL
INTO "USERS" ("EMAIL", "NAME") VALUES (?, ?)
INTO "USERS" ("EMAIL", "NAME") VALUES (?, ?)
SELECT 1 FROM dual

values

struct | array<struct>

true

QueryBuilder
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 NOTHING
MERGE 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

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` = ?
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` = ?
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

columns

string | array

QueryBuilder
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"

Name

Type

Required

Default

Description

values

struct

QueryBuilder
query.from( "users" )
    .update( {
        "email" = "foo",
        "name" = "bar"
    } );
MySQL
UPDATE `users`
SET `email` = ?,
    `name` = ?
QueryBuilder
query.from( "users" )
    .update( {
        "email" = "foo",
        "name" = "bar",
        "updatedDate" = { value = now(), cfsqltype = "CF_SQL_TIMESTAMP" }
    } );
MySQL
UPDATE `users`
SET `email` = ?,
    `name` = ?,
    `updatedDate` = ?
QueryBuilder
query.from( "users" )
    .whereId( 1 )
    .update( {
        "email" = "foo",
        "name" = "bar"
    } );
MySQL
UPDATE `users`
SET `email` = ?,
    `name` = ?
WHERE `Id` = ?
QueryBuilder
query.from( "hits" )
    .where( "page", "someUrl" )
    .update( {
        "count" = query.raw( "count + 1" )
    } );
MySQL
UPDATE `hits`
SET `count` = count + 1
WHERE `page` = ?
query.from("user")
		.whereId( 10 )
		.update( {
			manager_FK = { value = "", null=true },
		} )
query.from("user")
		.whereId( 10 )
		.update( {
			manager_FK = { value = null },
		} )
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`
)
qb.table( "employees" )
    .update( {
		    "departmentName" = qb.newQuery()
		        .from( "departments" )
		        .select( "name" )
		        .whereColumn( "employees.departmentId", "departments.id" )
		    } )
		} );
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.name
UPDATE [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

QueryBuilder
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();
MySQL
UPDATE `users`
SET `email` = ?,
    `foo` = ?,
    `name` = ?
WHERE `Id` = ?

Name

Type

Required

Default

Description

values

struct

QueryBuilder
query.from( "users" )
    .where( "email", "foo" )
    .updateOrInsert( {
        "email" = "foo",
        "name" = "baz"
    } );
MySQL
UPDATE `users`
SET `email` = ?,
    `name` = ?
WHERE `email` = ?
LIMIT 1
QueryBuilder
query.from( "users" )
    .where( "email", "foo" )
    .updateOrInsert( {
        "email" = "foo",
        "name" = "baz"
    } );
MySQL
INSERT INTO `users` (`email`, `name`)
VALUES (?, ?)

Name

Type

Required

Default

Description

values

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")
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 + 1
MERGE [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 + 1
MERGE 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")
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

QueryBuilder
query.from( "users" )
    .where( "email", "foo" )
    .delete();
MySQL
DELETE FROM `users`
WHERE `email` = ?
QueryBuilder
query.from( "users" )
    .delete( 1 );
MySQL
DELETE FROM `users`
WHERE `id` = ?

This call must come after setting the query's table using or .

This is not the same as looping over and array and calling insert in the loop. Using an array with insert will batch the inserts in one SQL call. Looping over an array and calling insert each time will create a SQL request for each item in the array. Bottom line, pass your array to insert!

insertIgnore

This call must come after setting the query's table using or .

target is only required for SQLServerGrammar and OracleGrammar

insertUsing

This call must come after setting the query's table using or .

returning

returning is only supported in PostgresGrammar and SqlServerGrammar. Using this method on unsupported grammars will result in an UnsupportedOperation exception. Be aware that using this method constrains your grammar choices.

update

This call must come after setting the query's table using or .

Updating Null values

Updating with Subselects

Updating with Joins

OracleGrammar does not support JOIN clauses inUPDATE statements. Consider using in your UPDATE statement instead.

addUpdate

updateOrInsert

upsert

In most database grammars, the target columns are required to be primary key or unique indexes.

delete

query param
cfqueryparam
query param
cfqueryparam
WHERE
update
addSelect

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.

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.

true

A single column, a list or columns, or an array of columns to return from the inserted query.

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.

true

A struct of column and value pairs to add to the update clause.

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.

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.

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.

from
table
from
table
from
table
from
table
subselects
addUpdate
WHERE

Aggregates

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.

exists

Returns true if the query returns any rows. Returns false otherwise.

Returns an integer number of rows returned by the query.

Returns the maximum value for the given column.

Returns the minimum value for the given column.

Returns the sum of all returned rows for the given column.

"*"

The column on which to count records.

options

struct

false

{}

Any additional queryExecute options.

The column on which to find the max.

options

struct

false

{}

Any additional queryExecute options.

The column on which to find the min.

options

struct

false

{}

Any additional queryExecute options.

The column to sum.

options

struct

false

{}

Any additional queryExecute options.

Name

Type

Required

Default

Description

options

struct

false

{}

Any additional queryExecute options.

Name

Type

Required

Default

Description

column

string

Name

Type

Required

Default

Description

column

string

Name

Type

Required

Default

Description

column

string

Name

Type

Required

Default

Description

column

string

count

max

min

sum

SELECT COUNT(*) AS aggregate FROM `users`
SELECT COUNT(*) FROM [users]

false

true

true

true

QueryBuilder
query.from( "users" ).where( "username", "like", "jon%" ).exists();
SQL (MySQL)
SELECT COUNT(*) AS aggregate 

FROM `users` WHERE `username` LIKE 'jon%'
QueryBuilder
query.from( "users" ).count();
QueryBuilder
query.from( "users" ).max( "age" );
SQL (MySQL)
SELECT MAX(age) AS aggregate FROM `users`
QueryBuilder
query.from( "users" ).min( "age" );
SQL (MySQL)
SELECT MIN(age) AS aggregate FROM `users`
QueryBuilder
query.from( "employees" ).sum( "salary" );
SQL (MySQL)
SELECT SUM(salary) AS aggregate FROM `employees`

Options and Utilities

Parent Query

Clone and Reset

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.

When you need to remove all configuration for a query, you can call the reset method.

QueryBuilder
var q1 = query.from( "users" ).where( "firstName", "like", "Jo%" );
var q2 = q1.clone();
q2.getFrom(); // "users"

Clone

Reset

QueryBuilder
var q1 = query.from( "users" ).where( "firstName", "like", "Jo%" );
var q2 = q1.reset();
q2.getColumns(); // "*"

Column Formatter

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 );
} );

Create

This method allows you to create a table object.

Argument

Type

Required

Default

Description

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 .

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.

columns
columns
indexes
indexes and constraints
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`)
)

Getting a New Query

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.

QueryBuilder
// 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`.

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.

handlers/posts.cfc
component {

    property name="query" inject="QueryBuilder@qb";

    function create( event, rc, prc ) {
        query.table( "posts" )
            .where( "id", rc.id )
            .update( event.getOnly( [ "body" ] ) );
    }

}

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:

handlers/posts.cfc
component {

    function create( event, rc, prc ) {
        getInstance( "QueryBuilder@qb" )
            .table( "posts" )
            .where( "id", rc.id )
            .update( event.getOnly( [ "body" ] ) );
    }

}

Or to use a WireBox provider to create a new query each time it is accessed:

handlers/posts.cfc
component {

    property name="query" inject="provider:QueryBuilder@qb";

    function create( event, rc, prc ) {
        query.table( "posts" )
            .where( "id", rc.id )
            .update( event.getOnly( [ "body" ] ) );
    }

}

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().

newQuery

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.

// 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.

Contributing & Filing Issues

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.

// 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)" ];
}

Query Parameters and Bindings

Custom Parameter Types

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 including null, list, etc. This applies anywhere parameters are used including where, update, and insert methods.

QueryBuilder
query.from( "users" )
    .where( "id", "=", { value = 18, cfsqltype = "CF_SQL_VARCHAR" } );
MySQL
SELECT *
FROM `users`
WHERE `id` = ?

This can be used when inserting or updating records as well.

QueryBuilder
query.table( "users" )
    .insert( {
        "id" = { value 1, cfsqltype = "CF_SQL_VARCHAR" },
        "age" = 18,
        "updatedDate" = { value = now(), cfsqltype = "CF_SQL_DATE" }
    } );
MySQL
INSERT INTO `users`
    (`id`, `age`, `updatedDate`)
VALUES
    (?, ?, ?)

Strict Date Detection

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.

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.

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 In CFML, this uses 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.

This method returns the current bindings in order to be used for the query.

You can also retrieve the bindings associated to their corresponding types.

This method returns the current bindings to be used for the query associated to their corresponding types.

moduleSettings = {
    "qb": {
        "strictDateDetection": true
    }
};
moduleSettings = {
    "qb": {
        "numericSQLType": "CF_SQL_INTEGER"
    }
};

Name

Type

Required

Default

Description

No arguments

QueryBuilder
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 );
Result
[
    { value = "01 May 2019", cfsqltype = "CF_SQL_TIMESTAMP"  },
    { value = 1, cfsqltype = "CF_SQL_NUMERIC" }
]

Name

Type

Required

Default

Description

No arguments

QueryBuilder
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 );
Result
{
    "commonTables" = [],
    "select" = [],
    "join" = [
        { value = "01 May 2019", cfsqltype = "CF_SQL_TIMESTAMP"  },
    ],
    "where" = [
        { value = 1, cfsqltype = "CF_SQL_NUMERIC" }
    ],
    "union" = [],
    "insert" = [],
    "insertRaw" = [],
    "update" = []
};

Numeric SQL Type

Automatic Scale Detection

Bindings

You can view the current SQL for the query with bindings inline for debugging purposes using the 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.

getBindings

getRawBindings

SQL injection.
cfqueryparam
cfqueryparam

toSQL

Building Queries

Common Table Expressions (i.e. CTEs)

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:

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:

Return Format

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"

  • 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:

You can get the original query object that CFML generates by setting the returnFormat to query:

This setting can be overridden on a per-instance basis by calling setReturnFormat():

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.

config/ColdBox.cfc
moduleSettings = {
    "qb": {
        "returnFormat": "array"
    }
};
config/ColdBox.cfc
moduleSettings = {
    "qb": {
        "returnFormat": "query"
    }
};
setReturnFormat
var qb = wirebox.getInstance( "QueryBuilder@qb" );

qb
   .setReturnFormat( 'query' )
   .from( 'users' )
   .get()
config/ColdBox.cfc
moduleSettings = {
    "qb": {
        "returnFormat": function( q ) {
            return application.wirebox.getInstance(
                "name" = "Collection",
                "initArguments" = { "collection": q }
            );
        }
    }
};

Name

Type

Required

Default

Description

name

string

QueryBuilder
// qb
query.with( "UserCTE", function ( q ) {
        q
            .select( [ "fName as firstName", "lName as lastName" ] )
            .from( "users" )
            .where( "disabled", 0 );
    } )
    .from( "UserCTE" )
    .get();
MySQL
WITH `UserCTE` AS (
    SELECT
        `fName` as `firstName`,
        `lName` as `lastName`
    FROM `users`
    WHERE `disabled` = 0
) SELECT * FROM `UserCTE`
QueryBuilder
// qb
var cte = query
    .select( [ "fName as firstName", "lName as lastName" ] )
    .from( "users" )
    .where( "disabled", 0 );

query.with( "UserCTE", cte )
    .from( "UserCTE" )
    .get();
MySQL
WITH `UserCTE` AS (
    SELECT
        `fName` as `firstName`,
        `lName` as `lastName`
    FROM `users`
    WHERE `disabled` = 0
)
SELECT * FROM `UserCTE`
QueryBuilder
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();
MySQL
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

QueryBuilder
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();
SqlServer
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]

Some database engines require the recursive keyword anytime at least one of your CTEs is recursive, but some database engines (e.g. SQL Server and Oracle) do not require the keyword. qb will manage adding the keyword, if necessary. If your query does use recursion you should use the withRecursive()method to avoid issues when migrating grammars.

with

withRecursive

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.

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.

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.

Debugging

Debugging a Single Query

toSQL

Name

Type

Required

Default

Description

showBindings

Returns the SQL that would be executed for the current query.

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.

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.

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.

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.

Starting in 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.

ColdBox Interception Points can also be used for logging, though you may find it easier to use LogBox. See the documentation for for more information.

boolean

false

​false

If true, the bindings for the query will be substituted back in where the question marks (?) appear.

QueryBuilder
var q = query.from( "users" )
    .where( "active", "=", 1 );

writeOutput( q.toSQL() );
Result
SELECT * FROM "users" WHERE "active" = ?
QueryBuilder
var q = query.from( "users" )
    .where( "active", "=", 1 );

writeOutput( q.toSQL( showBindings = true ) );
Result
SELECT * FROM "users" WHERE "active" = {"value":1,"cfsqltype":"CF_SQL_NUMERIC","null":false}

Name

Type

Required

Default

Description

callback

Function

QueryBuilder
query.from( "users" )
    .tap( function( q ) {
        writeOutput( q.toSQL() & "<br>" );
    } )
    .where( "active", "=", 1 )
    .tap( function( q ) {
        writeOutput( q.toSQL() & "<br>" );
    } );
Result
SELECT * FROM "users"
SELECT * FROM "users" WHERE "active" = ?

Name

Type

Required

Default

Description

showBindings

boolean

QueryBuilder
query.from( "users" )
    .dump()
    .where( "active", "=", 1 )
    .dump( label = "after where", showBindings = true, abort = true )
    .get();
Result
SELECT * FROM "users"
SELECT * FROM "users" WHERE "active" = ?
config/ColdBox.cfc
logbox = {
    debug = [ "qb.models.Grammars" ]
};

tap

dump

Debugging All Queries

cbDebugger

LogBox Appender

qb can be quite chatty when executing many database queries. Make sure that this logging is only enabled for your development environments using .

ColdBox Interception Points

cbDebugger
qb's Interception Points

true

​

A function to execute with a clone of the current query.

false

false

If true, the bindings for the query will be substituted back in where the question marks (?) appear.

All other writeDump arguments are supported.

ColdBox's environment controls

Column Constraints

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.

references

Set the referencing column for a foreign key relationship. For example, id for a country_id column.

Example:

SchemaBuilder

SQL (MySQL)

Sets the referencing table for a foreign key relationship. For example, countries for a country_id column.

Example:

SchemaBuilder

SQL (MySQL)

Set the strategy for updating foreign keys when the parent key is updated.

Example:

SchemaBuilder

SQL (MySQL)

Set the strategy for updating foreign keys when the parent key is deleted.

Example:

SchemaBuilder

SQL (MySQL)

Argument

Type

Required

Default

Description

columns

any

true

A column or array of columns that represents the foreign key reference.

schema.create( "users", function( table ) {
    table.unsignedInteger( "country_id" ).references( "id" ).onTable( "countries" );
} );
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
)

Argument

Type

Required

Default

Description

table

string

schema.create( "users", function( table ) {
    table.unsignedInteger( "country_id" ).references( "id" ).onTable( "countries" );
} );
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
)

Argument

Type

Required

Default

Description

option

string

schema.create( "users", function( table ) {
    table.unsignedInteger( "country_id" )
        .references( "id" )
        .onTable( "countries" )
        .onUpdate( "CASCADE" );
} );
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
)

Argument

Type

Required

Default

Description

option

string

schema.create( "users", function( table ) {
    table.unsignedInteger( "country_id" )
        .references( "id" )
        .onTable( "countries" )
        .onDelete( "SET NULL" );
} );
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
)

onTable

onUpdate

onDelete

true

The referencing table name.

true

The strategy to use. Available values are: RESTRICT, CASCADE, SET NULL, NO ACTION, SET DEFAULT

true

The strategy to use. Available values are: RESTRICT, CASCADE, SET NULL, NO ACTION, SET DEFAULT

Installation & Usage

Installation

Installation is easy through CommandBox and ForgeBox. Simply type box install qb to get started.

Usage

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"
    }
};

The grammars provided by qb are:

  • MySQLGrammar

  • OracleGrammar

  • PostgresGrammar

  • SqlServerGrammar

If you are not using WireBox, just make sure to wire up the Builder object with the correct grammar:

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 /subsystems directory (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().

Creating Table Constraints

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.

SQL Type Inferral

Integrating With FW/1

Wiring Up With DI/1

Usage In Your FW/1 Application

For further instructions on getting started with qb & FW/1, refer to this blog post.

var grammar = new qb.models.Grammars.MySQLGrammar();
var builder = new qb.models.Query.QueryBuilder( grammar );
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();

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

SQL (MySQL)

Create a foreign key constraint from one or more columns. Follow up this call with calls to the TableIndex's and methods.

Argument

Type

Required

Default

Description

columns

string or array

Example:

SchemaBuilder

SQL (MySQL)

Create a primary key constraint from one or more columns.

Argument

Type

Required

Default

Description

columns

string or array

Example:

SchemaBuilder

SQL (MySQL)

Create a unique constraint from one or more columns.

Argument

Type

Required

Default

Description

columns

string or array

Example:

SchemaBuilder

SQL (MySQL)

Argument

Type

Required

Default

index

Description

schema.create( "users", function( table ) {
    table.string( "first_name" );
    table.string( "last_name" );
    table.index( [ "first_name", "last_name" ], "idx_users_full_name" );
} );
CREATE TABLE `users` (
    `first_name` VARCHAR(255) NOT NULL,
    `last_name` VARCHAR(255) NOT NULL,
    INDEX `idx_users_full_name` (`first_name`, `last_name`)
)
schema.create( "users", function( table ) {
    table.unsignedInteger( "country_id" );
    table.foreignKey( "country_id" ).references( "id" ).onTable( "countries" );
} );
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
)
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" );
} );
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"")
)
schema.create( "users", function( table ) {
    table.increments( "id" );
    table.string( "username ");
    table.unique( "username" );
} );
CREATE TABLE `users` (
    `id` INTEGER UNSIGNED NOT NULL AUTO_INCREMENT,
    UNIQUE (`username`)
)

foreignKey

primaryKey

unique

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.

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.

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.

references
onTable

Limit, Offset, and Pagination

limit

Name

Type

Required

Default

Description

value

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.

Query Options

Each query execution method allows for the passing of an options struct. This is the same struct you would pass to queryExecute.

Default Options

qb allows you to specify default options when creating the QueryBuilder instance using the defaultOptions argument. You can combine this with WireBox to create custom QueryBuilder instances pointing to different datasources and even different grammars.

When mapping to components provided by modules, such as qb, use the interception point inside your config/WireBox.cfc to ensure all modules are fully loaded and available.

config/WireBox.cfc
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" 
            } );
    }

}

Retrieving results from alternative datasources

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:

QueryBuilder
query.from( "users" )
    .get( options = { datasource: "MyOtherDatasourceName" } );

If you also want to use a non-default SQL Grammar you have to specify this when creating your QueryBuilder.

QueryBuilder
var query = wirebox.getInstance( "QueryBuilder@qb" )
    .setGrammar( wirebox.getInstance( "MSSQLGrammar@qb" ) );
afterAspectsLoad

numeric

true

The limit value for the query.

QueryBuilder
query.from( "users" )
    .limit( 5 );
MySQL
SELECT *
FROM `users`
LIMIT 5

Name

Type

Required

Default

Description

value

numeric

QueryBuilder
query.from( "users" )
    .take( 5 );
MySQL
SELECT *
FROM `users`
LIMIT 5

Name

Type

Required

Default

Description

value

numeric

QueryBuilder
query.from( "users" )
    .offset( 25 );
MySQL
SELECT *
FROM `users`
OFFSET 25

Name

Type

Required

Default

Description

page

numeric

QueryBuilder
query.from( "users" )
    .forPage( 3, 15 );
MySQL
SELECT *
FROM `users`
LIMIT 15
OFFSET 30

take

offset

forPage

simplePaginate & paginate

limit
Retreiving Results

true

The limit value for the query.

true

The offset value for the query.

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.

Selects

Specifying A Select Clause

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.

select

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.

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.

Migration Guide

v8.0.0

Where clauses with an OR combinator are now automatically wrapped inside callbacks

This isn't a breaking change that will affect most people. In fact, it will most likely improve your code.

Previously, when using the when control flow function, you were fully responsible for the wrapping of your where statements. For example, the following query:

qb.from( "users" )
    .where( "active", 1 )
    .when( len( url.q ), function( q ) {
        q.where( "username", "LIKE", q & "%" )
            .orWhere( "email", "LIKE", q & "%" );   
    } );

Would generate the following SQL:

SELECT *
FROM "users"
WHERE "active" = ?
    AND "username" = ?
    OR "email" = ?

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.

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" = ?
    )

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.

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 led to changing the callback argument to query in the following cases:

  • whereSub

  • whereInSub

  • whereExists

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.

Group By and Having

​true

Value to set the distinct flag.

​

A single column, list of columns, or array of columns to add to the select.

​

The raw expression for the select statement.

bindings

array

false

[]

Any bindings needed for the raw expression.

​

The alias for the subselect expression.

query

Function | QueryBuilder

true

The callback or query to use in the subselect.

​"*"

A single column, list of columns, or array of columns to retrieve.

​

The raw expression for the select statement.

bindings

array

false

[]

Any bindings needed for the raw expression.

Name

Type

Required

Default

Description

columns

string | array

false

​"*"

A single column, list of columns, or array of columns to retrieve.

Name

Type

Required

Default

Description

state

boolean

Name

Type

Required

Default

Description

columns

string | array

Name

Type

Required

Default

Description

expression

any

Name

Type

Required

Default

Description

alias

string

Name

Type

Required

Default

Description

No arguments

Name

Type

Required

Default

Description

columns

string | array

Name

Type

Required

Default

Description

expression

any

distinct

distinct applies to the entire query, not just certain fields.

addSelect

If the QueryBuilder is currently selecting all columns ("*") when this method is called, the incoming columns will becoming the only columns selected.

selectRaw

subSelect

clearSelect

reselect

reselectRaw

Raw Expressions
select

false

true

true

true

``

false

true

orWhereExists

  • whereNotExists

  • andWhereNotExists

  • orWhereNotExists

  • whereNullSub

  • orderBySub

  • subSelect

  • v7.0.0

    Lucee 4.5 and Adobe ColdFusion 11 EOL

    MSSQLGrammar renamed to SqlServerGrammar

    Variadic Parameters Support Removed

    defaultGrammar updated to be the full WireBox mapping

    value method argument order changed

    Some methods renamed callback to query

    v5.0.0

    as explained below.
    when
    QueryBuilder
    query.select( [ "fname AS firstName", "age" ] ).from( "users" );
    SQL (MySQL)
    SELECT `fname` AS `firstName`, `age` FROM `users`
    QueryBuilder
    query.select( "username" ).distinct().from( "users" );
    SQL (MySQL)
    SELECT DISTINCT `username` FROM `users`
    QueryBuilder
    query.addSelect( [ "fname AS firstName", "age" ] ).from( "users" );
    SQL (MySQL)
    SELECT `fname` AS `firstName`, `age` FROM `users`
    QueryBuilder
    query.selectRaw( "YEAR(birthdate) AS birth_year" ).from( "users" );
    SQL (MySQL)
    SELECT YEAR(birthdate) AS birth_year FROM `users`
    QueryBuilder
    query.subSelect( "last_login_date", function( q ) {
        q.selectRaw( "MAX(created_date)" )
            .from( "logins" )
            .whereColumn( "users.id", "logins.user_id" );
    } ) ).from( "users" );
    SQL (MySQL)
    SELECT (
        SELECT MAX(created_date)
        FROM `logins`
        WHERE `users`.`id` = `logins`.`user_id`
    ) AS `last_login_date`
    FROM `users
    QueryBuilder
    query.from( "users" )
        .select( [ "fname AS firstName", "age" ] )
        .clearSelect();
    SQL (MySQL)
    SELECT * FROM `users`
    QueryBuilder
    query.from( "users" )
        .select( [ "fname AS firstName", "age" ] )
        .reselect( "username" );
    SQL (MySQL)
    SELECT `username` FROM `users`
    QueryBuilder
    query.from( "users" )
        .select( [ "fname AS firstName", "age" ] )
        .reselectRaw( "YEAR(birthdate) AS birth_year" );
    SQL (MySQL)
    SELECT YEAR(birthdate) AS birth_year FROM `users`
    // 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 NULL
    qb.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 = {}
    );

    true

    A single column name, a list of column names, or an array of column names to group by. An can be passed as well.

    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 Expression can be passed in place of a column.

    Name

    Type

    Required

    Default

    Description

    column

    string |

    Adds a having clause to a query.

    Expressions can be used in place of the column or the value.

    Name

    Type

    Required

    Default

    Description

    groups

    groupBy

    string | array

    QueryBuilder
    query.from( "users" )
        .groupBy( "country" );
    MySQL
    SELECT *
    FROM `users`
    GROUP BY `country`
    QueryBuilder
    query.from( "users" )
        .groupBy( "country,city" );
    MySQL
    SELECT *
    FROM `users`
    GROUP BY `country`, `city`
    QueryBuilder
    query.from( "users" )
        .groupBy( [ "country", "city" ] );
    MySQL
    SELECT *
    FROM `users`
    GROUP BY `country`, `city`
    QueryBuilder
    query.from( "users" )
        .groupBy( "country" )
        .groupBy( "city" );
    MySQL
    SELECT *
    FROM `users`
    GROUP BY `country`, `city`
    QueryBuilder
    query.from( "users" )
        .groupBy( query.raw( "DATE(created_at)" ) );
    MySQL
    SELECT *
    FROM `users`
    GROUP BY DATE(created_at)
    QueryBuilder
    query.from( "users" )
        .groupBy( "email" )
        .having( "email", ">", 1 );
    MySQL
    SELECT *
    FROM `users`
    GROUP BY `email`
    HAVING `email` > ?
    QueryBuilder
    query.from( "users" )
        .groupBy( "email" )
        .having( query.raw( "COUNT(email)" ), ">", 1 );
    MySQL
    SELECT *
    FROM `users`
    GROUP BY `email`
    HAVING COUNT(email) > ?

    having

    Overview

    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.

    Note: the SchemaBuilder is 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)

    Rename a table from an old name to a new name

    Example:

    SchemaBuilder

    SQL (MySQL)

    Check if a table exists in the database.

    Example:

    SchemaBuilder

    SQL (MySQL)

    Check if a column exists in a table in the database.

    Example:

    SchemaBuilder

    SQL (MySQL)

    Drop

    Dropping tables straightforward in qb.

    For dropping columns or constraints, see Alter.

    drop

    Drop a table from the database.

    Argument

    Type

    Example:

    SchemaBuilder

    SQL (MySQL)

    Drop a table from the database if it exists.

    Example:

    SchemaBuilder

    SQL (MySQL)

    Raw Expressions

    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.

    raw

    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.

    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:

    From

    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.

    Expression
    Expression

    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.

    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.

    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.

    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.

    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.

    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.

    Argument

    Type

    Required

    Default

    Description

    table

    string

    Argument

    Type

    Required

    Default

    Description

    table

    string

    Argument

    Type

    Required

    Default

    Description

    table

    string

    Argument

    Type

    Required

    Default

    Description

    from

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    table

    string

    create

    alter

    drop and dropIfExists

    Additionally, there are a few utility methods defined on SchemaBuilder as well:

    rename

    hasTable

    hasColumn

    columns
    indexes
    columns
    indexes

    true

    true

    true

    true

    true

    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.

    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.

    Argument

    Type

    Required

    Default

    Description

    table

    string

    dropIfExists

    true

    rightJoinRaw

  • crossJoinRaw

  • whereRaw

  • Name

    Type

    Required

    Default

    Description

    sql

    string

    true

    The raw sql to wrap up in an Expression.

    selectRaw
    fromRaw
    joinRaw
    leftJoinRaw
    // manually
    var schema = new qb.models.schema.SchemaBuilder(
        grammar = new qb.models.grammars.MySQLGrammar(),
        defaultOptions = { datasource: "my_datasource" }
    );
    
    // WireBox
    var schema = wirebox.getInstance( "SchemaBuilder@qb" );
    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`)
    )
    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`;
    schema.drop( "user_logins" );
    DROP TABLE `user_logins`
    schema.rename( "posts", "blog_posts" );
    RENAME TABLE `posts` TO `blog_posts`
    schema.hasTable( "users" );
    SELECT 1
    FROM `information_schema`.`tables`
    WHERE `table_name` = 'users'
    schema.hasColumn( "users", "last_logged_in" );
    SELECT 1
    FROM `information_schema`.`columns`
    WHERE `table_name` = 'users'
        AND `column_name` = 'last_logged_in'
    schema.drop( "user_logins" );
    DROP TABLE `user_logins`
    schema.dropIfExists( "user_logins" );
    DROP TABLE IF EXISTS `user_logins`
    QueryBuilder
    query.from( "users" ).select( query.raw( "MAX(created_date)" ) );
    
    MySQL
    SELECT MAX(created_date) FROM `users`
    
    

    true

    ​

    The name of the table or a Expression object from which the query is based.

    Used to set the base table for the query.

    You can optionally specify an alias for the table.

    Name

    Type

    Required

    Default

    Description

    table

    string | Expression

    An alias for from where you like how calling table looks.

    Name

    Type

    Required

    Default

    Description

    from

    string

    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.

    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.

    Name

    Type

    Required

    Default

    Description

    alias

    string

    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.

    Name

    Type

    Required

    Default

    Description

    from

    from

    string | Expression

    QueryBuilder
    query.from( "users" );
    MySQL
    SELECT * FROM `users`
    QueryBuilder
    query.from( "users as u" );
    MySQL
    SELECT * FROM `users` AS `u`
    QueryBuilder
    query.table( "users" ).insert( { "name" = "jon" } );
    MySQL
    INSERT INTO `users` (`name`) VALUES (?)
    QueryBuilder
    query.fromRaw( "[users] u (nolock)" ).get();
    SQL Server
    SELECT * FROM [users] u (nolock) 
    QueryBuilder
    query.fromRaw(
        "dbo.generateDateTable(?, ?, ?) as dt",
        [ "2017-01-01", "2017-12-31", "m" ]
    ).get();
    SQL Server
    SELECT * FROM dbo.generateDateTable(?, ?, ?) as dt
    QueryBuilder
    query.select( [ "firstName", "lastName" ] )
        .fromSub( "legalUsers", function ( q ) {
            q.select( [ "lName as lastName", "fName as firstName" ] )
                .from( "users" )
                .where( "age", ">=", 21 )
            ;
        } )
        .orderBy( "lastName" )
        .get()
    MySQL
    SELECT `firstName`, `lastName`
    FROM (
        SELECT `lName` as `lastName`, `fName` as `firstName`
        FROM `users`
        WHERE `age` >= 21
    ) AS `legalUsers`
    ORDER BY `lastName`
    QueryBuilder
    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();
    MySQL
    SELECT `firstName`, `lastName`
    FROM (
        SELECT `lName` as `lastName`, `fName` as `firstName`
        FROM `users`
        WHERE `age` >= 21
    ) AS `legalUsers`
    ORDER BY `lastName`

    table

    fromRaw

    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.

    fromSub

    Introduction

    Master Branch Build Status
    Development Branch Build Status

    Introduction

    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 2016+

    • Lucee 5+

    qb supports four major database grammars:

    • MySQL (MySQLGrammar)

    • Oracle (OracleGrammar)

    • Postgres (PostgresGrammar)

    The Box modules discussion group and community can be found here:

    Installation is easy through and . Simply type box install qb to get started.

    Compare these two examples:

    The differences become even more stark when we introduce more complexity:

    With qb you can easily handle setting order by statements before the columns you want or join statements after a where clause:

    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!

    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.

    If you are not using WireBox, just make sure to wire up the Builder object with the correct grammar:

    true

    ​

    The name of the table or a Expression object from which the query is based.

    true

    ​

    The sql snippet to use as the table.

    bindings

    array

    false

    []

    Any bindings needed for the expression.

    true

    ​

    The alias for the derived table.

    input

    Function | QueryBuilder

    true

    Either a QueryBuilder instance or a closure to define the derived query.

    Microsoft SQL Server (SqlServerGrammar)

    // Plain old CFML
    q = queryExecute("SELECT * FROM users");
    
    // qb
    query = wirebox.getInstance('QueryBuilder@qb');
    q = query.from('users').get();
    // Plain old CFML
    q = 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
    query = wirebox.getInstance('QueryBuilder@qb');
    q = query.from('posts')
             .whereNotNull('published_at')
             .whereIn('author_id', [5, 10, 27])
             .get();
    query = wirebox.getInstance('QueryBuilder@qb');
    q = query.from('posts')
             .orderBy('published_at')
             .select('post_id', 'author_id', 'title', 'body')
             .whereLike('author', 'Ja%')
             .join('authors', 'authors.id', '=', 'posts.author_id')
             .get();
    
    // Becomes
    
    q = 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 } ]
    );
    moduleSettings = {
        qb = {
            defaultGrammar = "MySQLGrammar@qb"
        }
    };
    var grammar = new qb.models.Query.Grammars.MySQLGrammar();
    var builder = new qb.models.Query.Builder( grammar );

    Requirements

    Discussion & Help

    Installation

    Code Samples

    Usage

    https://community.ortussolutions.com/c/box-modules/qb/27
    CommandBox
    ForgeBox
    https://gist.github.com/elpete/80d641b98025f16059f6476561d88202

    When / Conditionals

    If you store the builder object in a variable, you can use if and else statements like you would expect.

    QueryBuilder
    var q = query.from( "posts" );
    if ( someFlag ) {
        q.orderBy( "published_date", "desc" );
    }

    This works, but breaks chainability. To keep chainability you can use the when helper method.

    when

    Name

    The 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.

    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.

    QueryBuilder
    query.from( "posts" )
        .when( someFlag, function( q ) {
            q.orderBy( "published_date", "desc" );
        } )
        .get();
    QueryBuilder
    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" = ?
        )

    Locks

    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.

    sharedLock

    Name

    Type

    Required

    Default

    Description

    A shared lock prevents the selected rows from being modified until your transaction is committed.

    Name
    Type
    Required
    Default
    Description

    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.

    Interception Points

    Two interception points are available from QB: preQBExecute and postQBExecute. These fire before and after the queryExecute call, respectively.

    preQBExecute

    The following information is available in the interceptData struct:

    The following information is available in the interceptData struct:

    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.

    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.

    postQBExecute

    bindings

    The custom lock directive to add to the query.

    No arguments

    skipLocked

    Boolean

    false

    Name

    Type

    Required

    Default

    Description

    No arguments

    Name

    Type

    Required

    Default

    Description

    value

    string

    Name

    Type

    Required

    Default

    Description

    No arguments

    lockForUpdate

    noLock

    lock

    clearLock

    query.from( "users" )
        .where( "id", 1 )
        .sharedLock();
    SELECT *
    FROM `users`
    WHERE `id` = ?
    LOCK IN SHARE MODE
    SELECT *
    FROM [users] WITH (ROWLOCK,HOLDLOCK)
    WHERE [id] = ?
    SELECT *
    FROM "users"
    WHERE "id" = ?
    FOR SHARE
    LOCK TABLE "USERS"
    IN SHARE MODE NOWAIT;
    
    SELECT *
    FROM "USERS"
    WHERE "ID" = ?

    false

    true

    query.from( "users" )
        .where( "id", 1 )
        .lockForUpdate();
    SELECT *
    FROM `users`
    WHERE `id` = ?
    FOR UPDATE
    SELECT *
    FROM [users] WITH (ROWLOCK,UPDLOCK,HOLDLOCK)
    WHERE [id] = ?
    SELECT *
    FROM "users"
    WHERE "id" = ?
    FOR UPDATE
    SELECT *
    FROM "USERS"
    WHERE "ID" = ?
    FOR UPDATE
    query.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 LOCKED
    SELECT 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 LOCKED
    query.from( "users" )
        .where( "id", 1 )
        .noLock();
    SELECT *
    FROM [users] WITH (NOLOCK)
    WHERE [id] = ?

    Unions

    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

    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.

    but includes duplicate rows.

    Name

    Type

    Required

    Default

    Description

    input

    Function | QueryBuilder

    QueryBuilder
    query.from( "users" )
        .select( "name" )
        .where( "id", 1 )
        .union( function ( q ) {
            q.from( "users" )
                .select( "name" )
                .where( "id", 2 );
        } );
    MySQL
    SELECT `name`
    FROM `users`
    WHERE `id` = ?
    UNION
    SELECT `name`
    FROM `users`
    WHERE `id` = ?
    QueryBuilder
    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 );
        } );
    MySQL
    SELECT `name`
    FROM `users`
    WHERE `id` = ?
    UNION
    SELECT `name`
    FROM `users`
    WHERE `id` = ?
    UNION
    SELECT `name`
    FROM `users`
    WHERE `id` = ?
    QueryBuilder
    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 );
    MySQL
    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

    QueryBuilder
    query.from( "users" )
        .select( "name" )
        .where( "id", 1 )
        .unionAll( function( q ) {
            q.from( "users" )
                .select( "name" )
                .where( "id", 2 );
         } );
    MySQL
    SELECT `name`
    FROM `users`
    WHERE `id` = ?
    UNION ALL
    SELECT `name`
    FROM `users`
    WHERE `id` = ?
    QueryBuilder
    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 );
         } );
    MySQL
    SELECT `name`
    FROM `users`
    WHERE `id` = ?
    UNION ALL
    SELECT `name`
    FROM `users`
    WHERE `id` = ?
    UNION ALL
    SELECT `name`
    FROM `users`
    WHERE `id` = ?
    QueryBuilder
    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 );
    MySQL
    SELECT `name`
    FROM `users`
    WHERE `id` = ?
    UNION ALL
    SELECT `name`
    FROM `users`
    WHERE `id` = ?
    UNION ALL
    SELECT `name`
    FROM `users`
    WHERE `id` = ?

    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.

    union

    unionAll

    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.

    true

    The function or QueryBuilder instance to use as the unioned query.

    What's New?

    8.8.1

    • Better parsing of raw statements when deriving insertUsing columns.

    8.8.0

    New Features and Improvements

    • 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 statement.

    • Allow for deleting unmatched source records in (SQL Server only).

    • Add a new skipLocked flag to .

    • Don't uppercase quoted aliases in Oracle.

    • Fix for aliases in update statements.

    • Don't sort columns for insertUsing.

    • 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 method. upsert can update or insert multiple records at once depending on if a column is matched.

    • Allow expressions in and . Also add a and helper method to make that pattern more ergonomic.

    • Allow . (This is not supported on Oracle.)

    • Better handling of and clauses in queries.

    • Allow any value to be returned from including strings, numbers, and dates.

    • Provide default values for and if no records are returned.

    • Correctly wrap CTE expressions with parenthesis when required in certain grammars.

    • SchemaBuilder can now be configured with . (Default options will still be overridden by options passed to each SchemaBuilder method.)

    • Add a method to QueryBuilder.

    • Add helpers such as , , , and .

    • Correct return aggregate values for date values from max and min executors.

    • Add support for and .

    • Swap master branch to main branch.

    • Remove unnecessary injection for QueryUtils.

    • Account for raw expressions when generating mementos for comparison

    • Add support for & types for MySQLGrammar.

    • Fix limit on .

    • 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 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 command to aid in debugging a query while chaining.

    • `` now can accept bindings.

    • A new, optional 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.

    • `` callbacks now automatically scope and group where clauses when an OR combinator is used.

    • Combine and orderBy with a new method.

    • Clear current selected columns with .

    • Combine and either or with and 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 in MySQL.

    • Return 0 on null .

    • Match type hints to documentation for functions

    • Handle enhanced numeric checks with Secure Profile enabled.

    • Allow raw statements in basic where clauses.

    • Passed along the options struct to the method when calling .

    • Allow for space-delimited directions like column DESC.

    • Add helpful message when trying to use a closure with instead of .

    • `` and now work with

    • Handle multi-word columns in queryRemoveColumns.

    • Remove elvis operator due to ACF compatibility issues

    • Add support for and data types to .

    • Fix wrapping of types for Postgres.

    • Compatibility fix for ACF 2018 and listLast parsing.

    • Include current_timestamp default for 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 method. Any already configured orders are cleared. Any orders added after this call will be added as normal.

    • 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 ()

    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 ()

    • Ignore orders in aggregate queries ()

    • Format with cfformat ()

    • Improve column wrapping with trimming ()

    • Prefer the parent query over magic methods when the parent query has the exact method. ()

    • Switch to using .

    • Allow passing query options in to paginate ()

    • Fix for inserting null values directly ()

    • Use cfformat for automatic formatting ()

    • Add a type to the onMissingMethod exception ()

    • Correctly wrap in MySQLGrammar.

    • Publish qb apidocs to .

    • 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 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 to allow Quick features like scopes to be available inside any closures.

    • Lambdas (arrow functions) are now allowed wherever closures are allowed.

    • Add an method.

    • Allow for fully-qualified column names (table_name.column.name) in the and methods.

    Please see the 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.

    • Completely revamped documentation! (You're looking at it right now.)

    • Add new flag to 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"

    ****

    Add subquery bindings in insert and upsert statements.
  • Maintain column order when using source in upsert.

  • Allow updates with subselects using closures or builder instances.

    Test in CI with full null support.

    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.

  • Correctly format RETURNING clauses with column formatters and ignoring table qualifiers.

    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.)

  • 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

  • Bug Fixes

    8.7.8

    8.7.7

    8.7.6

    8.7.5

    8.7.2

    8.7.1

    8.7.0

    New Features and Improvements

    Bug Fixes

    8.6.1

    8.6.0

    8.5.0

    QueryBuilder

    SchemaBuilder

    8.4.9

    8.4.8

    8.4.7

    8.4.6

    8.4.5

    8.4.1 - 8.4.4

    8.4.0

    8.3.0

    8.2.2

    8.2.1

    8.2.0

    📹 Watch a walkthrough of this change on CFCasts.

    8.1.0

    📹 Watch a walkthrough of these changes on CFCasts.

    8.0.3

    8.0.2

    8.0.1

    8.0.0

    📹 Watch a walkthrough of these changes on CFCasts.

    BREAKING CHANGES

    Other Changes

    7.10.0

    7.9.9

    7.9.8

    7.9.7

    7.9.6

    7.9.5

    7.9.4

    7.9.3

    7.9.2

    7.9.1

    7.9.0

    7.8.0

    7.7.3

    7.7.2

    7.7.1

    7.7.0

    7.6.2

    7.6.1

    7.6.0

    7.5.1

    7.5.0

    7.4.0

    7.3.15

    7.3.14

    7.3.13

    7.3.12

    7.3.9, 7.3.10, 7.3.11

    7.3.8

    7.3.7

    7.3.5, 7.3.6

    7.3.4

    7.3.2, 7.3.3

    7.3.1

    7.3.0

    7.2.0

    7.1.0

    7.0.0

    BREAKING CHANGES

    Other Changes

    6.4.0

    upsert
    upserts
    lockForUpdate
    upsert
    value
    values
    valueRaw
    valuesRaw
    JOIN statements in UPDATE statements
    group by
    having
    pagination
    aggregates
    sum
    count
    default query options
    reset
    locking
    lock
    noLock
    lockForUpdate
    sharedLock
    stored computed columns
    virtual computed columns
    mediumtext
    longtext
    simplePaginate
    numericSQLType
    dump
    orderByRaw
    strictDateDetection
    when
    clearOrders
    reorder
    clearSelect
    clearSelect
    select
    selectRaw
    reselect
    reselectRaw
    timestamps
    aggregates
    join
    count
    paginate
    sort
    from
    fromSub
    value
    values
    column formatters.
    MONEY
    SMALLMONEY
    SchemaBuilder
    enum
    timestamp
    clearOrders
    selectRaw
    c767ac8
    07c9b72
    39e1338
    dc2a9b6
    d98a5cb
    f9fd8d1
    ForgeBox Storage
    cdecfb3
    1de27a6
    119e434
    90d1093
    comments
    Ortus API Docs
    parent query
    Quick
    orderByRaw
    value
    values
    Migration Guide
    toSQL( showBindings = true )
    Allow Expressions (query.raw) in update statements.

    Columns

    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.

    bigIncrements

    Create an auto-incrementing column using an unsigned BIGINT type. This column is also set as the primary key for the table.

    Argument

    Type

    Example:

    SchemaBuilder

    SQL (MySQL)

    Create a column using a BIGINT equivalent type for your database.

    Example (no precision):

    SchemaBuilder

    SQL (MySQL)

    Example (with precision):

    SchemaBuilder

    SQL (MySQL)

    Create a column using a BIT equivalent type for your database. The length can be specified as the second argument.

    Example (default length):

    SchemaBuilder

    SQL (MySQL)

    Example (custom length):

    SchemaBuilder

    SQL (MySQL)

    Create a column using a BOOLEAN equivalent type for your database.

    Example:

    SchemaBuilder

    SQL (MySQL)

    Create a column using a CHAR equivalent type for your database.

    Example (default length):

    SchemaBuilder

    SQL (MySQL)

    Example (custom length):

    SchemaBuilder

    SQL (MySQL)

    Create a column using a DATE equivalent type for your database.

    Example:

    SchemaBuilder

    SQL (MySQL)

    Create a column using a DATETIME equivalent type for your database.

    Example:

    SchemaBuilder

    SQL (MySQL)

    Create a column using a timezone-specific DATETIME equivalent type for your database.

    Example:

    SchemaBuilder

    SQL (SQL Server)

    Create a column using a DECIMAL equivalent type for your database. The length and precision can be specified as the second and third arguments.

    Example (with defaults):

    SchemaBuilder

    SQL (MySQL)

    Example (with length):

    SchemaBuilder

    SQL (MySQL)

    Example (with precision):

    SchemaBuilder

    SQL (MySQL)

    Create a column using a ENUM equivalent type for your database.

    Example:

    SchemaBuilder

    SQL (MySQL)

    Create a column using a FLOAT equivalent type for your database. The length and precision can be specified as the second and third arguments.

    Example (with defaults):

    SchemaBuilder

    SQL (MySQL)

    Example (with length):

    SchemaBuilder

    SQL (MySQL)

    Example (with precision):

    SchemaBuilder

    SQL (MySQL)

    Create an auto-incrementing column using an unsigned INTEGER type. This column is also set as the primary key for the table.

    Example:

    SchemaBuilder

    SQL (MySQL)

    Create a column using a INTEGER equivalent type for your database.

    Example (no precision):

    SchemaBuilder

    SQL (MySQL)

    Example (with precision):

    SchemaBuilder

    SQL (MySQL)

    Create a column using a JSON equivalent type for your database.

    Example:

    SchemaBuilder

    SQL (MySQL)

    Create a column using a LINESTRING equivalent type for your database.

    Example:

    SchemaBuilder

    SQL (MySQL)

    Create a column using a LONGTEXT equivalent type for your database.

    Example:

    SchemaBuilder

    SQL (MySQL)

    Create an auto-incrementing column using an unsigned MEDIUMINT type. This column is also set as the primary key for the table.

    Example:

    SchemaBuilder

    SQL (MySQL)

    Create a column using a MEDIUMINT equivalent type for your database.

    Example (no precision):

    SchemaBuilder

    SQL (MySQL)

    Example (with precision):

    SchemaBuilder

    SQL (MySQL)

    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.

    Example:

    SchemaBuilder

    SQL (MySQL)

    SQL (MSSQL)

    Create a column using a MONEY equivalent type for your database.

    Example:

    SchemaBuilder

    SQL (MySQL)

    SQL (MSSQL)

    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.

    Example:

    SchemaBuilder

    SQL (MySQL)

    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.

    Example:

    SchemaBuilder

    SQL (MySQL)

    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.

    Example:

    SchemaBuilder

    SQL (MySQL)

    Create a column using a POINT equivalent type for your database.

    Example:

    SchemaBuilder

    SQL (MySQL)

    Create a column using a POLYGON equivalent type for your database.

    Example:

    SchemaBuilder

    SQL (MySQL)

    An escape hatch to directly insert any sql in to the statement.

    Example:

    SchemaBuilder

    SQL (MySQL)

    Create an auto-incrementing column using an unsigned SMALLINT type. This column is also set as the primary key for the table.

    Example:

    SchemaBuilder

    SQL (MySQL)

    Create a column using a SMALLINT equivalent type for your database.

    Example (no precision):

    SchemaBuilder

    SQL (MySQL)

    Example (with precision):

    SchemaBuilder

    SQL (MySQL)

    Create a column using a SMALLMONEY equivalent type for your database.

    Example:

    SchemaBuilder

    SQL (MySQL)

    SQL (MSSQL)

    Creates a nullable deletedDate TIMESTAMP column.

    If you want different names for your timestamp column, feel free to call other schema builder methods individually.

    Example:

    SchemaBuilder

    SQL (MySQL)

    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.

    Example:

    SchemaBuilder

    SQL (SQL Server)

    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.

    Example (with defaults):

    SchemaBuilder

    SQL (MySQL)

    Example (with length):

    SchemaBuilder

    SQL (MySQL)

    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.

    Example:

    SchemaBuilder

    SQL (MySQL)

    Create a column using a TIME equivalent type for your database.

    Example:

    SchemaBuilder

    SQL (Postgres)

    Create a column using a timezone-specific TIME equivalent type for your database.

    Example:

    SchemaBuilder

    SQL (Postgres)

    Create a column using a TIMESTAMP equivalent type for your database.

    Example:

    SchemaBuilder

    SQL (MySQL)

    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.

    Example:

    SchemaBuilder

    SQL (MySQL)

    Create a column using a timezone-specific TIMESTAMP equivalent type for your database.

    Example:

    SchemaBuilder

    SQL (Postgres)

    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.

    Example:

    SchemaBuilder

    SQL (Postgres)

    Create an auto-incrementing column using an unsigned TINYINT type. This column is also set as the primary key for the table.

    Example:

    SchemaBuilder

    SQL (MySQL)

    Create a column using a TINYINT equivalent type for your database.

    Example (no precision):

    SchemaBuilder

    SQL (MySQL)

    Example (with precision):

    SchemaBuilder

    SQL (MySQL)

    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.

    Example:

    SchemaBuilder

    SQL (MySQL)

    SQL (MSSQL)

    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.

    Example:

    SchemaBuilder

    SQL (MySQL)

    SQL (MSSQL)

    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.

    Example (with defaults):

    SchemaBuilder

    SQL (MySQL)

    SQL (MSSQL)

    Example (with length):

    SchemaBuilder

    SQL (MySQL)

    SQL (MSSQL)

    Create a column using a NTEXT equivalent type for your database.

    Example:

    SchemaBuilder

    SQL (MySQL)

    SQL (MSSQL)

    Create a column using a UNSIGNED BIGINT equivalent type for your database.

    Example (no precision):

    SchemaBuilder

    SQL (MySQL)

    Example (with precision):

    SchemaBuilder

    SQL (MySQL)

    Create a column using a UNSIGNED INTEGER equivalent type for your database.

    Example (no precision):

    SchemaBuilder

    SQL (MySQL)

    Example (with precision):

    SchemaBuilder

    SQL (MySQL)

    Create a column using a UNSIGNED MEDIUMINT equivalent type for your database.

    Example (no precision):

    SchemaBuilder

    SQL (MySQL)

    Example (with precision):

    SchemaBuilder

    SQL (MySQL)

    Create a column using a UNSIGNED SMALLINT equivalent type for your database.

    Example (no precision):

    SchemaBuilder

    SQL (MySQL)

    Example (with precision):

    SchemaBuilder

    SQL (MySQL)

    Create a column using a UNSIGNED TINYINT equivalent type for your database.

    Example (no precision):

    SchemaBuilder

    SQL (MySQL)

    Example (with precision):

    SchemaBuilder

    SQL (MySQL)

    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 CFML createUUID method.

    Example:

    SchemaBuilder

    MySQL (SQL Server)

    SQL (MySQL)

    Order By

    The orderBy method seems simple but has a lot of depth depending on the type of arguments you pass in.

    Calling orderBy multiple times appends to the order list.

    Order By (String)

    Name

    Type

    Required

    Default

    Calling orderBy multiple times will append to the order list.

    You can also provide an .

    You can order with a subquery using either a function or a QueryBuilder instance.

    Clears the currently configured orders for the query. Usually used by downstream libraries like .

    Clears the currently configured orders for the query and sets the new orders passed in. Any valid argument to can be passed here. Usually used by downstream libraries like .

    Column Modifiers

    When 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.

    The name for the column.

    precision

    numeric

    false

    The precision for the column.

    The name for the column.

    length

    numeric

    false

    1

    The length for the column.

    The name for the column.

    The name for the column.

    length

    numeric

    false

    1

    The length for the column.

    The name for the column.

    The name for the column.

    The name for the column.

    The name for the column.

    length

    numeric

    false

    10

    The length of the column.

    precision

    numeric

    false

    0

    The precision of the column.

    The name for the column.

    The name for the column.

    length

    numeric

    false

    10

    The length of the column.

    precision

    numeric

    false

    0

    The precision of the column.

    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.

    The name for the column.

    precision

    numeric

    false

    The precision for the column.

    The name for the column.

    The name for the column.

    The name for the column.

    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.

    The name for the column.

    precision

    numeric

    false

    10

    The precision for the column.

    The name for the column.

    The name for the column.

    The prefix for the polymorphic columns.

    The prefix for the polymorphic columns.

    The name for the column.

    The name for the column.

    The sql to insert directly into the statement.

    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.

    The name for the column.

    precision

    numeric

    false

    The precision for the column.

    The name for the column.

    The name for the column.

    length

    numeric

    false

    255

    The length of the column.

    The name for the column.

    The name for the column.

    The name for the column.

    The name for the column.

    The name for the column.

    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.

    The name for the column.

    precision

    numeric

    false

    The precision for the column.

    The name for the column.

    The name for the column.

    The name for the column.

    length

    numeric

    false

    255

    The length of the column.

    The name for the column.

    The name for the column.

    precision

    numeric

    false

    The precision for the column.

    The name for the column.

    precision

    numeric

    false

    The precision for the column.

    The name for the column.

    precision

    numeric

    false

    The precision for the column.

    The name for the column.

    precision

    numeric

    false

    The precision for the column.

    The name for the column.

    precision

    numeric

    false

    The precision for the column.

    The name for the column.

    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.

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    No arguments

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    sql

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    No arguments

    Argument

    Type

    Required

    Default

    Description

    No arguments

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    No arguments

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    No arguments

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    Argument

    Type

    Required

    Default

    Description

    name

    string

    bigInteger

    bit

    boolean

    char

    date

    datetime

    datetimeTz

    Some databases do not have the concept of a timezone-specific datetime. Those databases will use a normal DATETIME type.

    decimal

    enum

    float

    increments

    integer

    json

    lineString

    longText

    mediumIncrements

    mediumInteger

    mediumText

    money

    morphs

    nullableMorphs

    nullableTimestamps

    point

    polygon

    raw

    smallIncrements

    smallInteger

    smallMoney

    softDeletes

    softDeletesTz

    string

    text

    time

    timeTz

    timestamp

    timestamps

    timestampTz

    timestampsTz

    tinyIncrements

    tinyInteger

    unicodeLongText

    unicodeMediumText

    unicodeString

    unicodeText

    unsignedBigInteger

    unsignedInteger

    unsignedMediumInteger

    unsignedSmallInteger

    unsignedTinyInteger

    uuid

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    true

    schema.create( "users", function( table ) {
        table.bigIncrements( "id" );
    } );
    CREATE TABLE `users` (
        `id` BIGINT UNSIGNED NOT NULL AUTO_INCREMENT,
        CONSTRAINT `pk_users_id` PRIMARY KEY (`id`)
    )
    schema.create( "users", function( table ) {
        table.bigInteger( "salary" );
    } );
    CREATE TABLE `users` (
        `salary` BIGINT NOT NULL
    )
    schema.create( "users", function( table ) {
        table.bigInteger( "salary", 5 );
    } );
    CREATE TABLE `users` (
        `salary` BIGINT(5) NOT NULL
    )
    schema.create( "users", function( table ) {
        table.bit( "is_active" );
    } );
    CREATE TABLE `users` (
        `is_active` BIT(1) NOT NULL
    )
    schema.create( "users", function( table ) {
        table.bit( "is_active", 2 );
    } );
    CREATE TABLE `users` (
        `is_active` BIT(2) NOT NULL
    )
    schema.create( "users", function( table ) {
        table.boolean( "is_subscribed" );
    } );
    CREATE TABLE `users` (
        `is_subscribed` TINYINT(1) NOT NULL
    )
    schema.create( "students", function( table ) {
        table.char( "grade" );
    } );
    CREATE TABLE `students` (
        `grade` CHAR(1) NOT NULL
    )
    schema.create( "users", function( table ) {
        table.char( "tshirt_size", 4 );
    } );
    CREATE TABLE `users` (
        `tshirt_size` CHAR(4) NOT NULL
    )
    schema.create( "users", function( table ) {
        table.date( "birthday" );
    } );
    CREATE TABLE `users` (
        `birthday` DATE NOT NULL
    )
    schema.create( "users", function( table ) {
        table.datetime( "hire_date" );
    } );
    CREATE TABLE `users` (
        `hire_date` DATETIME NOT NULL
    )
    schema.create( "posts", function( table ) {
        table.datetimeTz( "posted_date" );
    } );
    CREATE TABLE [posts] (
        [posted_date] DATETIMEOFFSET NOT NULL
    )
    schema.create( "weather", function( table ) {
        table.decimal( "temperature" );
    } );
    CREATE TABLE `weather` (
        `temperature` DECIMAL(10,0) NOT NULL
    )
    schema.create( "weather", function( table ) {
        table.decimal( "temperature", 4 );
    } );
    CREATE TABLE `weather` (
        `temperature` DECIMAL(4,0) NOT NULL
    )
    schema.create( "weather", function( table ) {
        table.decimal( name = "temperature", precision = 2 );
    } );
    CREATE TABLE `weather` (
        `temperature` DECIMAL(10,2) NOT NULL
    )
    schema.create( "users", function( table ) {
        table.enum( "tshirt_size", [ "S", "M", "L", "XL", "XXL" ] );
    } );
    CREATE TABLE `users` (
        `tshirt_size` ENUM(`S`, `M`, `L`, `XL`, `XXL`) NOT NULL
    )
    schema.create( "weather", function( table ) {
        table.float( "temperature" );
    } );
    CREATE TABLE `weather` (
        `temperature` FLOAT(10,0) NOT NULL
    )
    schema.create( "weather", function( table ) {
        table.float( "temperature", 4 );
    } );
    CREATE TABLE `weather` (
        `temperature` FLOAT(4,0) NOT NULL
    )
    schema.create( "weather", function( table ) {
        table.float( name = "temperature", precision = 2 );
    } );
    CREATE TABLE `weather` (
        `temperature` FLOAT(10,2) NOT NULL
    )
    schema.create( "users", function( table ) {
        table.increments( "id" );
    } );
    CREATE TABLE `users` (
        `id` INTEGER UNSIGNED NOT NULL AUTO_INCREMENT,
        CONSTRAINT `pk_users_id` PRIMARY KEY (`id`)
    )
    schema.create( "games", function( table ) {
        table.integer( "score" );
    } );
    CREATE TABLE `games` (
        `score` INTEGER NOT NULL
    )
    schema.create( "games", function( table ) {
        table.integer( "score", 3 );
    } );
    CREATE TABLE `games` (
        `score` INTEGER(3) NOT NULL
    )
    schema.create( "users", function( table ) {
        table.json( "options" ).nullable();
    } );
    CREATE TABLE `users` (
        `options` JSON
    )
    schema.create( "users", function( table ) {
        table.lineString( "positions" );
    } );
    CREATE TABLE `users` (
        `positions` LINESTRING NOT NULL
    )
    schema.create( "posts", function( table ) {
        table.longText( "body" );
    } );
    CREATE TABLE `posts` (
        `body` LONGTEXT NOT NULL
    )
    schema.create( "users", function( table ) {
        table.mediumIncrements( "id" );
    } );
    CREATE TABLE `users` (
        `id` MEDIUMINT UNSIGNED NOT NULL AUTO_INCREMENT,
        CONSTRAINT `pk_users_id` PRIMARY KEY (`id`)
    )
    schema.create( "games", function( table ) {
        table.mediumInteger( "score" );
    } );
    CREATE TABLE `games` (
        `score` MEDIUMINT NOT NULL
    )
    schema.create( "games", function( table ) {
        table.mediumInteger( "score", 5 );
    } );
    CREATE TABLE `games` (
        `score` MEDIUMINT(5) NOT NULL
    )
    schema.create( "posts", function( table ) {
        table.mediumText( "body" );
    } );
    CREATE TABLE `posts` (
        `body` MEDIUMTEXT NOT NULL
    )
    CREATE TABLE `posts` (
        `body` VARCHAR(MAX) NOT NULL
    )
    schema.create( "transactions", function( table ) {
        table.money( "amount" );
    } );
    CREATE TABLE `transactions` (
        `amount` INTEGER NOT NULL
    )
    CREATE TABLE [transactions] (
        [amount] MONEY NOT NULL
    )
    schema.create( "tags", function( table ) {
        table.morphs( "taggable" );
    } );
    CREATE TABLE `tags` (
        `taggable_id` INTEGER UNSIGNED NOT NULL,
        `taggable_type` VARCHAR(255) NOT NULL,
        INDEX `taggable_index` (`taggable_id`, `taggable_type`)
    )
    schema.create( "tags", function( table ) {
        table.nullableMorphs( "taggable" );
    } );
    CREATE TABLE `tags` (
        `taggable_id` INTEGER UNSIGNED,
        `taggable_type` VARCHAR(255),
        INDEX `taggable_index` (`taggable_id`, `taggable_type`)
    )
    schema.create( "posts", function( table ) {
        table.nullableTimestamps();
    } );
    CREATE TABLE `posts` (
        `createdDate` TIMESTAMP,
        `modifiedDate` TIMESTAMP
    )
    schema.create( "users", function( table ) {
        table.point( "position" );
    } );
    CREATE TABLE `users` (
        `position` POINT NOT NULL
    )
    schema.create( "users", function( table ) {
        table.polygon( "positions" );
    } );
    CREATE TABLE `users` (
        `positions` POLYGON NOT NULL
    )
    schema.create( "users", function( table ) {
        table.raw( "`profile_image` BLOB NOT NULL" );
    } );
    CREATE TABLE `users` (
        `profile_image` BLOB NOT NULL
    )
    schema.create( "users", function( table ) {
        table.smallIncrements( "id" );
    } );
    CREATE TABLE `users` (
        `id` SMALLINT UNSIGNED NOT NULL AUTO_INCREMENT,
        CONSTRAINT `pk_users_id` PRIMARY KEY (`id`)
    )
    schema.create( "games", function( table ) {
        table.smallInteger( "score" );
    } );
    CREATE TABLE `games` (
        `score` SMALLINT NOT NULL
    )
    schema.create( "games", function( table ) {
        table.smallInteger( "score", 3 );
    } );
    CREATE TABLE `games` (
        `score` SMALLINT(3) NOT NULL
    )
    schema.create( "transactions", function( table ) {
        table.smallMoney( "amount" );
    } );
    CREATE TABLE `transactions` (
        `amount` INTEGER NOT NULL
    )
    CREATE TABLE [transactions] (
        [amount] SMALLMONEY NOT NULL
    )
    schema.create( "posts", function( table ) {
        table.softDeletes();
    } );
    CREATE TABLE `posts` (
        `deletedDate` TIMESTAMP
    )
    schema.create( "posts", function( table ) {
        table.softDeletesTz();
    } );
    CREATE TABLE [posts] (
        [deletedDate] DATETIMEOFFSET
    )
    schema.create( "users", function( table ) {
        table.string( "username" );
    } );
    CREATE TABLE `users` (
        `username` VARCHAR(255) NOT NULL
    )
    schema.create( "users", function( table ) {
        table.string( "username", 50 );
    } );
    CREATE TABLE `users` (
        `username` VARCHAR(50) NOT NULL
    )
    schema.create( "posts", function( table ) {
        table.text( "body" );
    } );
    CREATE TABLE `posts` (
        `body` TEXT NOT NULL
    )
    schema.create( "recurring_tasks", function( table ) {
        table.time( "fire_time" );
    } );
    CREATE TABLE "recurring_tasks" (
        "fire_time" TIME NOT NULL
    )
    schema.create( "recurring_tasks", function( table ) {
        table.timeTz( "fire_time" );
    } );
    CREATE TABLE "recurring_tasks" (
        "fire_time" TIME WITH TIME ZONE NOT NULL
    )
    schema.create( "users", function( table ) {
        table.timestamp( "created_at" );
    } );
    CREATE TABLE `users` (
        `created_at` TIMESTAMP NOT NULL
    )
    schema.create( "posts", function( table ) {
        table.timestamps();
    } );
    CREATE TABLE `posts` (
        `createdDate` TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
        `modifiedDate` TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP
    )
    schema.create( "posts", function( table ) {
        table.timestampTz( "posted_date" );
    } );
    CREATE TABLE "posts" (
        "posted_date" TIMESTAMP WITH TIME ZONE NOT NULL
    )
    schema.create( "posts", function( table ) {
        table.timestampsTz();
    } );
    CREATE TABLE "posts" (
        "createdDate" TIMESTAMP WITH TIME ZONE NOT NULL,
        "modifiedDate" TIMESTAMP WITH TIME ZONE NOT NULL
    )
    schema.create( "users", function( table ) {
        table.tinyIncrements( "id" );
    } );
    CREATE TABLE `users` (
        `id` TINYINT UNSIGNED NOT NULL AUTO_INCREMENT,
        CONSTRAINT `pk_users_id` PRIMARY KEY (`id`)
    )
    schema.create( "games", function( table ) {
        table.tinyInteger( "score" );
    } );
    CREATE TABLE `games` (
        `score` TINYINT NOT NULL
    )
    schema.create( "games", function( table ) {
        table.tinyInteger( "score", 3 );
    } );
    CREATE TABLE `games` (
        `score` TINYINT(3) NOT NULL
    )
    schema.create( "posts", function( table ) {
        table.longText( "body" );
    } );
    CREATE TABLE `posts` (
        `body` LONGTEXT NOT NULL
    )
    CREATE TABLE [posts] (
        [body] NVARCHAR(MAX) NOT NULL
    )
    schema.create( "posts", function( table ) {
        table.unicodeMediumText( "body" );
    } );
    CREATE TABLE `posts` (
        `body` MEDIUMTEXT NOT NULL
    )
    CREATE TABLE [posts] (
        [body] NVARCHAR(MAX) NOT NULL
    )
    schema.create( "users", function( table ) {
        table.unicodeString( "username" );
    } );
    CREATE TABLE `users` (
        `username` VARCHAR(255) NOT NULL
    )
    CREATE TABLE [users] (
        [username] NVARCHAR(255) NOT NULL
    )
    schema.create( "users", function( table ) {
        table.unicodeString( "username", 50 );
    } );
    CREATE TABLE `users` (
        `username` VARCHAR(50) NOT NULL
    )
    CREATE TABLE [users] (
        [username] NVARCHAR(50) NOT NULL
    )
    schema.create( "posts", function( table ) {
        table.unicodeText( "body" );
    } );
    CREATE TABLE `posts` (
        `body` TEXT NOT NULL
    )
    CREATE TABLE [posts] (
        [body] NVARCHAR(MAX) NOT NULL
    )
    schema.create( "games", function( table ) {
        table.unsignedBigInteger( "score" );
    } );
    CREATE TABLE `games` (
        `score` BIGINT UNSIGNED NOT NULL
    )
    schema.create( "games", function( table ) {
        table.unsignedBigInteger( "score", 3 );
    } );
    CREATE TABLE `games` (
        `score` BIGINT(3) UNSIGNED NOT NULL
    )
    schema.create( "games", function( table ) {
        table.unsignedInteger( "score" );
    } );
    CREATE TABLE `games` (
        `score` INTEGER UNSIGNED NOT NULL
    )
    schema.create( "games", function( table ) {
        table.unsignedInteger( "score", 3 );
    } );
    CREATE TABLE `games` (
        `score` INTEGER(3) UNSIGNED NOT NULL
    )
    schema.create( "games", function( table ) {
        table.unsignedMediumInteger( "score" );
    } );
    CREATE TABLE `games` (
        `score` MEDIUMINT UNSIGNED NOT NULL
    )
    schema.create( "games", function( table ) {
        table.unsignedMediumInteger( "score", 3 );
    } );
    CREATE TABLE `games` (
        `score` MEDIUMINT(3) UNSIGNED NOT NULL
    )
    schema.create( "games", function( table ) {
        table.unsignedSmallInteger( "score" );
    } );
    CREATE TABLE `games` (
        `score` SMALLINT UNSIGNED NOT NULL
    )
    schema.create( "games", function( table ) {
        table.unsignedSmallInteger( "score", 3 );
    } );
    CREATE TABLE `games` (
        `score` SMALLINT(3) UNSIGNED NOT NULL
    )
    schema.create( "games", function( table ) {
        table.unsignedTinyInteger( "score" );
    } );
    CREATE TABLE `games` (
        `score` TINYINT UNSIGNED NOT NULL
    )
    schema.create( "games", function( table ) {
        table.unsignedTinyInteger( "score", 3 );
    } );
    CREATE TABLE `games` (
        `score` TINYINT(3) UNSIGNED NOT NULL
    )
    schema.create( "users", function( table ) {
        table.uuid( "id" ).primaryKey();
    } );
    CREATE TABLE `games` (
        `id` uniqueidentifier NOT NULL,
        CONSTRAINT `pk_games_id` PRIMARY KEY (`id`)
    )
    CREATE TABLE `games` (
        `id` VARCHAR(36) NOT NULL,
        CONSTRAINT `pk_games_id` PRIMARY KEY (`id`)
    )

    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.

    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.

    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.

    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.

    The raw SQL expression to use.

    bindings

    array

    false

    []

    Any bindings (?) used in the expression.

    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".

    Description

    column

    any

    true

    The name of the column to order by. An Expression can be passed as well.

    direction

    string

    false

    "asc"

    The direction by which to order the query. Accepts "asc"or "desc".

    QueryBuilder
    query.from( "users" )
        .orderBy( "email" );
    MySQL
    SELECT *
    FROM `users`
    ORDER BY `email` ASC
    QueryBuilder
    query.from( "users" )
        .orderBy( "email" )
        .orderBy( "username", "desc" );
    MySQL
    SELECT *
    FROM `users`
    ORDER BY
      `email` ASC,
      `username` DESC
    QueryBuilder
    query.from( "users" )
        .orderBy( query.raw( "DATE(created_at)" ) );
    MySQL
    SELECT *
    FROM `users`
    ORDER BY DATE(created_at)

    Name

    Type

    Required

    Default

    Description

    column

    QueryBuilder
    query.from( "users" )
        .orderBy( "email|asc,username", "desc" );
    MySQL
    SELECT *
    FROM `users`
    ORDER BY
      `email` ASC,
      `username` DESC

    Name

    Type

    Required

    Default

    Description

    column

    QueryBuilder
    query.from( "users" )
        .orderBy( [ "email|asc", "username" ], "desc" );
    MySQL
    SELECT *
    FROM `users`
    ORDER BY
      `email` ASC,
      `username` DESC

    Name

    Type

    Required

    Default

    Description

    column

    any

    QueryBuilder
    query.from( "users" )
        .orderBy( [
            { "column": "email", "direction": "asc" },
            "username"
        ], "desc" );
    MySQL
    SELECT *
    FROM `users`
    ORDER BY
      `email` ASC,
      `username` DESC

    Name

    Type

    Required

    Default

    Description

    column

    any

    QueryBuilder
    query.from( "users" )
        .orderBy( function( q ) {
            q.selectRaw( "MAX(created_date)" )
                .from( "logins" )
                .whereColumn( "users.id", "logins.user_id" );
        } );
    MySQL
    SELECT *
    FROM `users`
    ORDER BY (
        SELECT MAX(created_date)
        FROM `logins`
        WHERE `users`.`id` = `logins`.`user_id`
    )

    Name

    Type

    Required

    Default

    Description

    expression

    string

    QueryBuilder
    query.from( "users" )
        .orderByRaw( "CASE WHEN status = ? THEN 1 ELSE 0 END DESC", [ 1 ] );
    MySQL
    SELECT *
    FROM `users`
    ORDER BY CASE WHEN status = ? THEN 1 ELSE 0 END DESC

    Name

    Type

    Required

    Default

    Description

    No arguments

    QueryBuilder
    query.from( "users" )
        .orderBy( "email" )
        .clearOrders();
    MySQL
    SELECT *
    FROM `users`

    Name

    Type

    Required

    Default

    Description

    column

    any

    QueryBuilder
    query.from( "users" )
        .orderBy( "email" )
        .reorder( "username" );
    MySQL
    SELECT *
    FROM `users`
    ORDER BY `username` ASC

    Order By (List)

    Order By (Array of Strings)

    Order By (Array of Structs)

    Order By (Subquery)

    Order By Raw

    clearOrders

    reorder

    Expression
    Quick
    orderBy
    Quick

    any

    any

    true

    true

    true

    true

    Required

    Default

    Description

    comment

    string

    true

    The comment text.

    Example:

    SchemaBuilder

    SQL (MySQL)

    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

    Example:

    SchemaBuilder

    SQL (MySQL)

    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

    SQL (MySQL)

    Adds the column as a primary key for the table.

    Argument

    Type

    Required

    Default

    Description

    indexName

    string

    The primaryKey method returns a TableIndex instance. Additional methods can be chained off of it.

    Example:

    SchemaBuilder

    SQL (MySQL)

    Creates a foreign key constraint for the column.

    Argument

    Type

    Required

    Default

    Description

    value

    string

    IMPORTANT: Additional configuration of the foreign constraint is done by calling methods on the returned TableIndex instance.

    Example:

    SchemaBuilder

    SQL (MySQL)

    Sets the column as unsigned.

    Argument

    Type

    Required

    Default

    Description

    No arguments

    Example:

    SchemaBuilder

    SQL (MySQL)

    Sets the column to have the UNIQUE constraint.

    Argument

    Type

    Required

    Default

    Description

    No arguments

    Example:

    SchemaBuilder

    SQL (MySQL)

    Sets the column to have the a default value of CURRENT_TIMESTAMP.

    Argument

    Type

    Required

    Default

    Description

    No arguments

    Example:

    SchemaBuilder

    SQL (Postgres)

    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

    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

    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
    )

    Argument

    comment

    creating a column

    Type

    schema.create( "users", function( table ) {
        table.integer( "age" ).comment( "Do not lie about your age" );
    } );
    CREATE TABLE `users` (
        `age` INTEGER NOT NULL COMMENT `Do not lie about your age`
    )
    schema.create( "users", function( table ) {
        table.boolean( "is_active" ).default( 1 );
        table.timestamp( "created_date" ).default( "NOW()" );
        tablVIRTUAL NOT NULLe.string( "country" ).default( "'USA'" );
    } );
    CREATE TABLE `users` (
        `is_active` TINYINT(1) DEFAULT 1,
        `created_date` TIMESTAMP DEFAULT NOW(),
        `country` VARCHAR(255) DEFAULT 'USA'
    )
    schema.create( "users", function( table ) {
        table.timestamp( "last_logged_in" ).nullable()
    } );
    CREATE TABLE `users` (
        `last_logged_in` TIMESTAMP
    )
    schema.create( "users", function( table ) {
        table.uuid( "id" ).primaryKey();
    } );
    CREATE TABLE `users` (
        `id` CHAR(35) NOT NULL,
        CONSTAINT `pk_users_id` PRIMARY KEY (`id`)
    )
    schema.create( "users", function( table ) {
        table.unsignedInteger( "country_id" ).references( "id" ).onTable( "countries" ).onDelete( "cascade" );
    } );
    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
    )
    schema.create( "users", function( table ) {
        table.integer( age" ).unsigned();
    } );
    CREATE TABLE `users` (
        `age` INTEGER UNSIGNED NOT NULL
    )
    schema.create( "email", function( table ) {
        table.string( email" ).unique();
    } );
    CREATE TABLE `users` (
        `email` VARCHAR(255) NOT NULL UNIQUE
    )
    schema.create( "posts", function( table ) {
        table.timestamp( "posted_date" ).withCurrent();
    } );
    CREATE TABLE "posts" (
        "posted_date" TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP
    )

    default

    nullable

    primaryKey

    references

    unsigned

    unique

    withCurrent

    storedAs

    Your database grammar may not differentiate between stored computed columns and virtual computed columns. Research your grammar's implementation for more details.

    virtualAs

    Your database grammar may not differentiate between stored computed columns and virtual computed columns. Research your grammar's implementation for more details.

    true

    The default value.

    false

    A derived name built from the table name and column name.

    The name to use for the primary key constraint.

    true

    The default value.

    true

    The SQL used to define the computed column.

    true

    The SQL used to define the computed column.

    Expression
    Expression

    Alter

    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.

    Calling multiple methods inside a single alter callback 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 (integer, string, etc.) as well as the (unsigned, nullable, etc.).

    Example:

    SchemaBuilder

    SQL (MySQL)

    An escape hatch to directly insert any sql in to the statement.

    Example:

    SchemaBuilder

    SQL (MySQL)

    Drop a column on an existing table.

    Example:

    SchemaBuilder

    SQL (MySQL)

    Modify an existing column on a table.

    Example:

    SchemaBuilder

    SQL (MySQL)

    Rename 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.

    Example:

    SchemaBuilder

    SQL (MySQL)

    Add an index or key to an existing table. Any TableIndex instance is valid, like those created by the (unique, index, primaryKey, etc.).

    Example:

    SchemaBuilder

    SQL (MySQL)

    Drop an existing table constraint.

    Example:

    SchemaBuilder

    SQL (MySQL)

    Rename an existing table constraint.

    Example:

    SchemaBuilder

    SQL (MySQL)

    Rename an existing table.

    Example:

    SchemaBuilder

    SQL (MySQL)

    An alias for renameTable.

    Example:

    SchemaBuilder

    SQL (MySQL)

    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.

    Argument

    Type

    Required

    Default

    Description

    column

    Column

    schema.alter( "users", function( table ) {
        table.addColumn( table.boolean( "is_active" ) );
    } );
    ALTER TABLE `users` ADD `is_active` TINYINT(1) NOT NULL

    Argument

    Type

    Required

    Default

    Description

    sql

    string

    schema.alter( "registrars", function ( table ) {
        table.addColumn(
            table.raw( "HasDNSSecAPI bit NOT NULL CONSTRAINT DF_registrars_HasDNSSecAPI DEFAULT (0)" )
        );
    } );
    ALTER TABLE `registrars`
    ADD HasDNSSecAPI bit NOT NULL
    CONSTRAINT DF_registrars_HasDNSSecAPI DEFAULT (0)

    Argument

    Type

    Required

    Default

    Description

    name

    string

    schema.alter( "users", function( table ) {
        table.dropColumn( "username" );
    } );
    ALTER TABLE `users` DROP COLUMN `username`

    Argument

    Type

    Required

    Default

    Description

    name

    string

    schema.alter( "users", function( table ) {
        table.modifyColumn( "name", table.string( "username" ) );
    } );
    ALTER TABLE `users` CHANGE `name` `username` VARCHAR(255) NOT NULL

    Argument

    Type

    Required

    Default

    Description

    name

    string

    schema.alter( "users", function( table ) {
        table.renameColumn( "name", table.string( "username" ) );
    } );
    ALTER TABLE `users` CHANGE `name` `username` VARCHAR(255) NOT NULL

    Argument

    Type

    Required

    Default

    Description

    constraint

    TableIndex

    schema.alter( "users", function( table ) {
        table.addConstraint( table.unique( "username" ) );
    } );
    ALTER TABLE `users` ADD CONSTRAINT `unq_users_username` UNIQUE (`username`)

    Argument

    Type

    Required

    Default

    Description

    name

    string OR TableIndex

    schema.alter( "users", function( table ) {
        table.dropConstraint( "unq_users_full_name" );
        table.dropConstraint( table.unique( "username" ) );
    } );
    ALTER TABLE `users` DROP INDEX `unq_users_full_name`
    ALTER TABLE `users` DROP INDEX `unq_users_username`

    Argument

    Type

    Required

    Default

    Description

    oldName

    string OR TableIndex

    schema.alter( "users", function( table ) {
        table.renameConstraint( "unq_users_first_name_last_name", "unq_users_full_name" );
    } );
    ALTER TABLE `users` RENAME INDEX `unq_users_first_name_last_name` TO `unq_users_full_name`

    Argument

    Type

    Required

    Default

    Description

    oldName

    string

    schema.renameTable( "workers", "employees" );
    RENAME TABLE `workers` TO `employees`

    Argument

    Type

    Required

    Default

    Description

    oldName

    string

    schema.rename( "workers", "employees" );
    RENAME TABLE `workers` TO `employees`

    addColumn

    raw

    dropColumn

    modifyColumn

    renameColumn

    addConstraint

    dropConstraint

    renameConstraint

    renameTable

    rename

    column methods
    column modifier methods

    true

    A column object to add to the table.

    true

    The sql to insert directly into the statement.

    true

    The name of the column to drop.

    true

    The name of the column to modify.

    column

    Column

    true

    A column object to replace the named column.

    true

    The current name of a column.

    column

    Column

    true

    A column object with the new column name and definition.

    true

    The TableIndex instance to add to the table.

    true

    The name of the constraint to drop. You can alternatively pass a TableIndex instance to use the dynamic name generated.

    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.

    true

    The old or current name of the table to rename.

    newName

    string

    true

    The new name of the table.

    true

    The old or current name of the table to rename.

    newName

    string

    true

    The new name of the table.

    index methods

    Wheres

    Table of Contents

    Adds a where clause to a query.

    You can also pass an as the value.

    Any of the following operators can be used in a where clause.

    When using the "=" constraint, you can use a shortcut and define the value as the second argument.

    To group where statements together, pass a function to the where clause as the only parameter.

    A Function or QueryBuilder can be used as a subselect expression when passed to value.

    This method is simply an alias for with the combinator set to "and".

    This method is simply an alias for with the combinator set to "or".

    Adds a where between clause to the query.

    If a function or QueryBuilder is passed it is used as a subselect expression.

    Adds a where not in clause to the query. This behaves identically to the method with the negateflag set to true. See the documentation for for usage and examples.

    Adds a where clause to a query that compares two columns.

    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.

    Expressions can be passed in place of either column.

    Adds a where exists clause to the query.

    It can be configured with a function.

    It can also be configured with a QueryBuilder instance.

    Adds a where not in clause to the query. This behaves identically to the method with the negateflag set to true. See the documentation for for usage and examples.

    A shortcut for calling with "like" set as the operator.

    A shortcut for calling with "not like" set as the operator.

    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.

    If a list of values is passed in, it is converted to an array of values using a single comma (",") delimiter.

    Any value in the list or array can also be passed using a to have more control over the parameter settings.

    Expressions can be freely mixed in with other values.

    A function or QueryBuilder instance can be passed to be used as a subquery expression instead of a list of values.

    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 for usage and examples.

    Shorthand to add a raw SQL statement to the where clauses.

    Adds a where null clause to the query.

    Adds a where not in clause to the query. This behaves identically to the method with the negateflag set to true. See the documentation for 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.

    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.

    Name

    Type

    Required

    Default

    Description

    column

    string | | Function

    QueryBuilder
    query.from( "users" )
        .where( "active", "=", 1 );
    MySQL
    SELECT *
    FROM `users`
    WHERE `active` = ?
    QueryBuilder
    query.from( "users" )
        .where( "last_logged_in", ">", query.raw( "NOW()" ) );
    MySQL
    SELECT *
    FROM `users`
    WHERE `last_logged_in` > NOW()

    Valid Operators

    =

    <

    >

    QueryBuilder
    query.from( "users" )
        .where( "active", 1 );
    MySQL
    SELECT *
    FROM `users`
    WHERE `active` = ?
    QueryBuilder
    query.from( "users" )
        .where( function( q ) {
            q.where( "active", 1 )
                .where( "last_logged_in", ">", dateAdd( "ww", -1, now() ) )
        } );
    MySQL
    SELECT *
    FROM `users`
    WHERE (
        `active` = ?
        AND
        `last_logged_in` > ?
    )
    QueryBuilder
    query.from( "users" )
        .where( "email", "foo" )
        .orWhere( "id", "=", function( q ) {
            q.select( q.raw( "MAX(id)" ) )
                .from( "users" )
                .where( "email", "bar" );
        } );
    MySQL
    SELECT *
    FROM `users`
    WHERE `email` = ?
      OR `id` = (
        SELECT MAX(id)
        FROM `users`
        WHERE `email` = ?
      )

    Name

    Type

    Required

    Default

    Description

    column

    string | | Function

    Name

    Type

    Required

    Default

    Description

    column

    string | | Function

    Name

    Type

    Required

    Default

    Description

    column

    string | Expression

    QueryBuilder
    query.from( "users" )
        .whereBetween( "id", 1, 2 );
    MySQL
    SELECT *
    FROM `users`
    WHERE `id` BETWEEN ? AND ?
    QueryBuilder
    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" )
        );
    MySQL
    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

    Name

    Type

    Required

    Default

    Description

    first

    string |

    QueryBuilder
    query.from( "users" )
        .whereColumn( "first_name", "=", "last_name" );
    MySQL
    SELECT *
    FROM `users`
    WHERE `first_name` = `last_name`
    QueryBuilder
    query.from( "users" )
        .whereColumn( "first_name", "last_name" );
    MySQL
    SELECT *
    FROM `users`
    WHERE `first_name` = `last_name`
    QueryBuilder
    query.from( "users" )
        .whereColumn( "first_name", query.raw( "LOWER(first_name)" ) );
    MySQL
    SELECT *
    FROM `users`
    WHERE `first_name` = LOWER(first_name)

    Name

    Type

    Required

    Default

    Description

    query

    Function | QueryBuilder

    QueryBuilder
    query.from( "orders" )
        .whereExists( function( q ) {
            q.select( q.raw( 1 ) )
                .from( "products" )
                .whereColumn( "products.id", "orders.id" );
        } );
    MySQL
    SELECT *
    FROM `orders`
    WHERE EXISTS (
        SELECT 1
        FROM `products`
        WHERE `products`.`id` = `orders`.`id`
    )
    QueryBuilder
    var existsQuery = query.newQuery()
        .select( q.raw( 1 ) )
        .from( "products" )
        .whereColumn( "products.id", "orders.id" );
    
    query.from( "orders" )
        .whereExists( existsQuery );
    MySQL
    SELECT *
    FROM `orders`
    WHERE EXISTS (
        SELECT 1
        FROM `products`
        WHERE `products`.`id` = `orders`.`id`
    )

    Name

    Type

    Required

    Default

    Description

    query

    Function | QueryBuilder

    Name

    Type

    Required

    Default

    Description

    column

    string |

    QueryBuilder
    query.from( "users" )
        .whereLike( "username", "J%" );
    MySQL
    SELECT *
    FROM `users`
    WHERE `username` LIKE ?

    Name

    Type

    Required

    Default

    Description

    column

    string |

    QueryBuilder
    query.from( "users" )
        .whereNotLike( "username", "J%" );
    MySQL
    SELECT *
    FROM `users`
    WHERE `username` NOT LIKE ?

    Name

    Type

    Required

    Default

    Description

    column

    string | Expression

    QueryBuilder
    query.from( "orders" )
        .whereIn( "id", [ 1, 4, 66 ] );
    MySQL
    SELECT *
    FROM `orders`
    WHERE `id` IN (?, ?, ?)
    QueryBuilder
    query.from( "orders" )
        .whereIn( "id", "1,4,66" );
    MySQL
    SELECT *
    FROM `orders`
    WHERE `id` IN (?, ?, ?)
    QueryBuilder
    query.from( "orders" )
        .whereIn( "id", [ 1, 4, { value = "66", cfsqltype = "CF_SQL_VARCHAR" } ] );
    MySQL
    SELECT *
    FROM `orders`
    WHERE `id` IN (?, ?, ?)
    QueryBuilder
    query.from( "orders" )
        .whereIn( "id", [ query.raw( "MAX(id)" ), 4, 66 ] );
    MySQL
    SELECT *
    FROM `orders`
    WHERE `id` IN (MAX(id), ?, ?)
    QueryBuilder
    query.from( "users" )
        .whereIn( "id", function( q ) {
            q.select( "id" )
                .from( "users" )
                .where( "age", ">", 25 );
        } );
    MySQL
    SELECT *
    FROM `users`
    WHERE IN (
        SELECT `id`
        FROM `users`
        WHERE `age` > ?
    )

    Name

    Type

    Required

    Default

    Description

    column

    string | Expression

    Name

    Type

    Required

    Default

    Description

    sql

    string

    QueryBuilder
    query.from( "users" )
        .whereRaw(
            "id = ? OR email = ? OR is_admin = 1",
            [ 1, "foo" ]
        );
    MySQL
    SELECT *
    FROM `users`
    WHERE id = ? OR email = ? OR is_admin = 1

    Name

    Type

    Required

    Default

    Description

    column

    string | Expression

    QueryBuilder
    query.from( "users" )
        .whereNull( "id" );
    MySQL
    SELECT *
    FROM `users`
    WHERE `id` IS NULL

    Name

    Type

    Required

    Default

    Description

    column

    string | Expression

    QueryBuilder
    query.from( "users" )
        .where( "username", "like", "j%" )
        .andWhere( function( q ) {
            q.where( "isSubscribed", 1 )
                .orWhere( "isOnFreeTrial", 1 );
         } );
    MySQL
    SELECT *
    FROM `users`
    WHERE `username` LIKE ?
      AND (
        `isSubscribed` = ?
        OR
        `isOnFreeTrial` = ?
      )
    QueryBuilder
    query.from( "users" )
        .whereUsername( "like", "j%" )
        .whereActive( 1 );
    MySQL
    SELECT *
    FROM `users`
    WHERE `username` LIKE ?
      AND `active` = ?

    Where Methods

    where

    Using the where method will parameterize the value passed. If you want to constrain a column to another column, use the method.

    You may also use statements to simplify this further.

    This grouping can be nested as many levels as you require.

    andWhere

    orWhere

    whereBetween

    whereNotBetween

    whereColumn

    whereExists

    whereNotExists

    whereLike

    whereNotLike

    whereIn

    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.

    You may find a whereExists method performs better for you than a whereIn with a subquery.

    whereNotIn

    whereRaw

    whereNull

    whereNotNull

    Dynamic Where Methods

    andWhere... and orWhere...

    where{Column}

    Expression
    where
    where
    whereBetween
    whereBetween
    whereExists
    whereExists
    where
    where
    custom parameter type
    whereIn
    whereNull
    whereNull
    where
    andWhere

    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.

    <=

    >=

    <>

    !=

    like

    like binary

    not like

    between

    ilike

    &

    |

    ^

    <<

    >>

    rlike

    regexp

    not regexp

    ~

    ~*

    !~

    !~*

    similar to

    not similar to

    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.

    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.

    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.

    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.

    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.

    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.

    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.

    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.

    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.

    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.

    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.

    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.

    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.

    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.

    orWhere
    whereBetween
    whereNotBetween
    whereColumn
    whereExists
    whereNotExists
    whereLike
    whereIn
    whereNotIn
    whereRaw
    whereNull
    whereNotNull
    Expression
    Expression
    Expression
    Expression
    Expression
    Expression
    whereColumn
    dynamic where{Column}
    Expression
    Expression
    Expression
    andWhere
    orWhere
    Expression
    Expression
    Expression
    Expression
    Expression
    Expression
    Expression
    dynamic methods
    Expression
    dynamic methods
    Expression
    Expression
    Expression
    dynamic methods
    dynamic methods
    dynamic methods
    Expression
    Expression
    dynamic methods
    Expression
    Expression
    dynamic methods
    Expression
    Expression
    Expressions
    dynamic methods
    Expression
    Expression
    Expressions
    dynamic methods
    custom parameters
    dynamic methods
    Expression
    dynamic methods
    Expression
    dynamic methods

    Joins

    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

    Applies a join to the query. The simplest join is to a table based on two columns:

    When doing a simple join using = as the operator, you can omit it and pass just the column names:

    `` are also supported as the table argument (though you may prefer the readability of the method):

    When you need to specify more clauses to join, you can pass a function as the second argument:

    You can specify clauses in your joins as well.

    Conditions inside a join clause can be grouped using a function.

    A preconfigured can also be passed to the join function. This allows you to extract shared pieces of code out to different functions.

    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:

    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 for more information.

    Uses the raw SQL provided to as the table for the join clause. All the other functionality of joinRaw matches the method. Additionally, there are , , and crossJoinRaw methods available.

    Adds a join to a derived table. All the functionality of the method applies to constrain the query. The derived table can be defined using a QueryBuilder instance:

    Alternatively, a function may be used to define the derived table:

    Complex join conditions are also possible by passing a function as the third parameter:

    Uses the raw SQL provided to as the table for the left join clause. All the other functionality of leftJoinRaw matches the method.

    Adds a left join to a derived table. All the functionality of the method applies to define and constrain the query.

    Uses the raw SQL provided to as the table for the right join clause. All the other functionality of rightJoinRaw matches the method.

    Adds a right join to a derived table. All the functionality of the method applies to define and constrain the query.

    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.

    Adds a cross join to a derived table. The derived table can be defined using a QueryBuilder instance or a function just as with . Cross joins cannot be constrained, however.

    Creates a new . A is a specialized version of a QueryBuilder. You may call on or orOn to constrain the . You may also call any methods.

    Creating a directly is useful when you need to share a join between different queries. You can create and configure the in a function and pass it to queries as needed.

    A JoinClause is a specialized version of a QueryBuilder. You may call on or orOn to constrain the JoinClause. You may also call any methods.

    Applies a join condition to the JoinClause. An alias for whereColumn.

    Applies a join condition to the JoinClause using an or combinator. An alias for orWhereColumn.

    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.

    Name

    Type

    Required

    Default

    Description

    table

    string | |

    QueryBuilder
    query.from( "users" )
        .join( "posts", "users.id", "=", "posts.author_id" );
    MySQL
    SELECT *
    FROM `users`
    JOIN `posts`
      ON `users`.`id` = `posts`.`author_id`
    QueryBuilder
    query.from( "users" )
        .join( "posts", "users.id", "posts.author_id" );
    MySQL
    SELECT *
    FROM `users`
    JOIN `posts`
      ON `users`.`id` = `posts`.`author_id`
    QueryBuilder
    query.from( "users" )
        .join( query.raw( "posts (nolock)" ), "users.id", "=", "posts.author_id" );
    SQL Server
    SELECT *
    FROM [users]
    JOIN posts (nolock)
      ON [users].[id] = [posts].[author_id]
    QueryBuilder
    query.from( "users" )
        .join( "posts", function( j ) {
            j.on( "users.id", "=", "posts.author_id" );
            j.on( "users.prefix", "=", "posts.prefix" );
        } );
    MySQL
    SELECT *
    FROM `users`
    JOIN `posts`
      ON `users`.`id` = `posts`.`author_id`
      AND `users`.`prefix` = `posts`.`prefix`
    QueryBuilder
    query.from( "users" )
        .join( "posts", function( j ) {
            j.on( "users.id", "=", "posts.author_id" );
            j.whereNotNull( "posts.published_date" );
        } );
    MySQL
    SELECT *
    FROM `users`
    JOIN `posts`
      ON `users`.`id` = `posts`.`author_id`
      AND `posts`.`published_date` IS NOT NULL
    QueryBuilder
    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" );
        } );
    MySQL
    SELECT *
    FROM `users`
    JOIN `posts`
      ON (
          `users`.`id` = `posts`.`author_id`
          OR `users`.`id` = `posts`.`reviewer_id`
      )
      AND `posts`.`published_date` IS NOT NULL
    QueryBuilder
    var j = query.newJoin( "contacts" )
        .on( "users.id", "posts.author_id" );
    
    query.from( "users" ).join( j );
    MySQL
    SELECT *
    FROM `users`
    JOIN `posts`
      ON `users`.`id` = `posts`.`author_id`

    Name

    Type

    Required

    Default

    Description

    table

    string

    QueryBuilder
    query.from( "users" )
        .joinWhere( "contacts", "contacts.balance", "<", 100 );
    MySQL
    SELECT *
    FROM `users`
    JOIN `contacts`
      WHERE `contacts`.`balance` < ?

    Name

    Type

    Required

    Default

    Description

    table

    string

    QueryBuilder
    query.from( "users" )
        .joinRaw( "posts (nolock)", "users.id", "posts.author_id" );
    SQL Server
    SELECT *
    FROM [users]
    JOIN posts (nolock)
      ON [users].[id] = [posts].[author_id]

    Name

    Type

    Required

    Default

    Description

    alias

    QueryBuilder
    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" );
    MySQL
    SELECT *
    FROM `users` AS `u`
    JOIN (
      SELECT `id`
      FROM `contacts`
      WHERE `id` NOT IN (?, ?, ?)
    ) AS `c`
      ON `u`.`id` = `c`.`id`
    QueryBuilder
    query.from( "users as u" )
        .joinSub( "c", function ( q ) {
            q.select( "id" )
                .from( "contacts" )
                .whereNotIn( "id", [ 1, 2, 3 ] );
        }, "u.id", "=", "c.id" );
    MySQL
    SELECT *
    FROM `users` AS `u`
    JOIN (
      SELECT `id`
      FROM `contacts`
      WHERE `id` NOT IN (?, ?, ?)
    ) AS `c`
      ON `u`.`id` = `c`.`id`
    QueryBuilder
    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" );
        } );
    MySQL
    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.

    QueryBuilder
    query.from( "posts" )
        .leftJoin( "users", "users.id", "posts.author_id" );
    MySQL
    SELECT *
    FROM `posts`
    LEFT JOIN `users`
      ON `users`.`id` = `posts`.`author_id`

    Name

    Type

    Required

    Default

    Description

    table

    string

    QueryBuilder
    query.from( "posts" )
        .leftJoinRaw( "users (nolock)", "users.id", "posts.author_id" );
    SQL Server
    SELECT *
    FROM [posts]
    LEFT JOIN users (nolock)
      ON [users].[id] = [posts].[author_id]

    Name

    Type

    Required

    Default

    Description

    alias

    string

    QueryBuilder
    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" );
    MySQL
    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.

    QueryBuilder
    query.from( "users" )
        .rightJoin( "posts", "users.id", "posts.author_id" );
    MySQL
    SELECT *
    FROM `users`
    RIGHT JOIN `posts`
      ON `users`.`id` = `posts`.`author_id`

    Name

    Type

    Required

    Default

    Description

    table

    string

    QueryBuilder
    query.from( "users" )
        .rightJoinRaw( "posts (nolock)", "users.id", "posts.author_id" );
    SQL Server
    SELECT *
    FROM [users]
    LEFT JOIN posts (nolock)
      ON [users].[id] = [posts].[author_id]

    Name

    Type

    Required

    Default

    Description

    alias

    string

    QueryBuilder
    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" );
    MySQL
    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.)

    QueryBuilder
    query.from( "users" ).crossJoin( "posts" );
    MySQL
    SELECT *
    FROM `users`
    CROSS JOIN `posts`

    Name

    Type

    Required

    Default

    Description

    table

    string

    QueryBuilder
    query.from( "users" ).crossJoinRaw( "posts (nolock)" );
    SQL Server
    SELECT *
    FROM [users]
    CROSS JOIN posts (nolock)

    Name

    Type

    Required

    Default

    Description

    alias

    string

    QueryBuilder
    var sub = query.newQuery()
        .select( "id" )
        .from( "contacts" )
        .whereNotIn( "id", [ 1, 2, 3 ] );
    
    query.from( "users as u" ).crossJoinSub( "c", sub );
    MySQL
    SELECT *
    FROM `users` AS `u`
    CROSS JOIN (
      SELECT `id`
      FROM `contacts`
      WHERE `id` NOT IN (?, ?, ?)
    )

    Name

    Type

    Required

    Default

    Description

    table

    string |

    QueryBuilder
    var j = query.newJoin( "contacts" )
        .on( "users.id", "posts.author_id" );
    
    query.from( "users" ).join( j );
    MySQL
    SELECT *
    FROM `users`
    JOIN `posts`
      ON `users`.`id` = `posts`.`author_id`
    QueryBuilder
    // 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 );
    MySQL
    -- This is still an inner join because
    -- the JoinClause is an inner join
    SELECT *
    FROM `users`
    JOIN `posts`
      ON `users`.`id` = `posts`.`author_id`

    Name

    Type

    Required

    Default

    Description

    first

    string | | Function

    QueryBuilder
    var j = query.newJoin( "contacts" )
        .on( "users.id", "posts.author_id" );
    
    query.from( "users" ).join( j );
    MySQL
    SELECT *
    FROM `users`
    JOIN `posts`
      ON `users`.`id` = `posts`.`author_id`

    Name

    Type

    Required

    Default

    Description

    first

    string | | Function

    QueryBuilder
    var j = query.newJoin( "contacts" )
        .on( "users.id", "posts.author_id" )
        .orOn( "users.id", "posts.reviewer_id" );
    
    query.from( "users" ).join( j );
    MySQL
    SELECT *
    FROM `users`
    JOIN `posts`
      ON `users`.`id` = `posts`.`author_id`
      OR `users`.`id` = `posts`.`reviewer_id`
    moduleSettings = {
        "qb": {
             "preventDuplicateJoins": true  
        }
    };

    join

    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.

    joinWhere

    joinRaw

    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.

    joinSub

    leftJoin

    leftJoinRaw

    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.

    leftJoinSub

    rightJoin

    rightJoinRaw

    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.

    rightJoinSub

    crossJoin

    crossJoinRaw

    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.

    crossJoinSub

    newJoin

    Although a can be passed to , , , and crossJoin, the type of the will override the type of the function.

    JoinClause

    on

    orOn

    Preventing Duplicate Joins

    Expressions
    joinRaw
    where
    JoinClause
    join
    join
    leftJoinRaw
    rightJoinRaw
    join
    join
    joinSub
    join
    joinSub
    joinSub
    JoinClause
    JoinClause
    JoinClause
    where
    JoinClause
    JoinClause
    where

    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.

    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.

    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.

    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.

    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.

    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.

    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.

    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.

    true

    ​

    The raw SQL string to use as the table.

    true

    The alias for the derived table.

    input

    Function | QueryBuilder

    true

    ​

    Either a QueryBuilder instance or a function to define the derived query.

    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.

    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").

    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.

    join
    joinRaw
    joinSub
    joinWhere
    leftJoin
    leftJoinRaw
    leftJoinSub
    newJoin
    rightJoin
    rightJoinRaw
    rightJoinSub
    JoinClause
    crossJoin
    crossJoinRaw
    crossJoinSub
    Expression
    JoinClause
    Expression
    JoinClause
    Expression
    JoinClause
    JoinClause
    JoinClause
    Expression
    Expression
    Expression
    Expression
    JoinClause
    Expression
    JoinClause
    JoinClause
    JoinClause
    Expression
    Expression
    Expression
    Expression
    Expression
    JoinClause
    Expression
    JoinClause
    JoinClause
    JoinClause
    Expression
    Expression
    Expression
    JoinClause
    join
    leftJoin
    rightJoin
    JoinClause
    Expression
    JoinClause
    Expression
    Expression
    Expression
    Expression
    leftJoin
    rightJoin
    joinWhere
    Expression
    Expression
    Expression
    Expression
    leftJoin
    rightJoin
    Expression
    Expression
    Expression
    Expression
    leftJoinRaw
    rightJoinRaw
    Expression
    Expression
    Expression
    Expression
    leftJoinSub
    rightJoinSub
    Expression
    Expression
    Expression
    Expression
    Expression
    Expression
    Expression
    Expression
    Expression
    Expression
    Expression
    Expression
    Expression
    Expression
    Expression
    Expression
    Expression
    Expression
    Expression
    Expression
    Expression
    Expression
    Expression