Version v3.1 of the documentation is no longer actively maintained. The site that you are currently viewing is an archived snapshot. For up-to-date documentation, see the latest version.

Query Expressions

Overview

This page covers the components of an expression, including declarations, operators, and functions.

Declarations
Comparison operators
Logical operators
Arithmetic operators
Mathematical functions
String functions
Aggregate functions
Window functions
Conditional expressions
Scalar subqueries
literals
User-defined expressions

Declarations

In the Query DSL, for example, you can pass a lambda expression representing the search criteria to the where function.

QueryDsl.from(a).where { a.addressId eq 1 }

We call such lambda expressions declarations. All declarations are defined as typealias in the org.komapper.core.dsl.expression package.

AssignmentDeclaration: Used with the values and set functions.
HavingDeclaration: Used with the having function.
OnDeclaration: Used with the on function.
WhenDeclaration: Used with the When function.
WhereDeclaration: Used with the where function.

These declarations are composable.

plus

The + operator constructs a new declaration that executes its operands in sequence:

val w1: WhereDeclaration = {
    a.addressId eq 1
}
val w2: WhereDeclaration = {
    a.version eq 1
}
val w3: WhereDeclaration = w1 + w2 // Use of the `+` operator
val query: Query<List<Address>> = QueryDsl.from(a).where(w3)
val list: List<Address> = db.runQuery { query }
/*
select t0_.ADDRESS_ID, t0_.STREET, t0_.VERSION from ADDRESS as t0_ where t0_.ADDRESS_ID = ? and t0_.VERSION = ?
*/

The + operator is available in all declarations.

and

The and function constructs a new declaration that concatenates its receiver and argument with the AND predicate:

val w1: WhereDeclaration = {
    a.addressId eq 1
}
val w2: WhereDeclaration = {
    a.version eq 1
    or { a.version eq 2 }
}
val w3: WhereDeclaration = w1.and(w2) // Use of the `and` function
val query: Query<List<Address>> = QueryDsl.from(a).where(w3)
val list: List<Address> = db.runQuery { query }
/*
select t0_.ADDRESS_ID, t0_.STREET, t0_.VERSION from ADDRESS as t0_ where t0_.ADDRESS_ID = ? and (t0_.VERSION = ? or (t0_.VERSION = ?))
*/

The and function can be applied to Having, When, and Where declarations.

or

The or function constructs a new declaration that concatenates its receiver and argument with the OR predicate:

val w1: WhereDeclaration = {
    a.addressId eq 1
}
val w2: WhereDeclaration = {
    a.version eq 1
    a.street eq "STREET 1"
}
val w3: WhereDeclaration = w1.or(w2) // Use of the `or` function
val query: Query<List<Address>> = QueryDsl.from(a).where(w3)
val list: List<Address> = db.runQuery { query }
/*
select t0_.ADDRESS_ID, t0_.STREET, t0_.VERSION from ADDRESS as t0_ where t0_.ADDRESS_ID = ? or (t0_.VERSION = ? and t0_.STREET = ?)
*/

The or function can be applied to Having, When, and Where declarations.

Comparison operators

Comparison operators are available in the Having, On, When, and Where Declarations.

If null is passed as an argument to a comparison operator, the operator is not evaluated. That is, the corresponding SQL will not be generated:

val nullable: Int? = null
val query = QueryDsl.from(a).where { a.addressId eq nullable }

Thus, when the above query is executed, the following SQL will be issued:

select t0_.ADDRESS_ID, t0_.STREET, t0_.VERSION from ADDRESS as t0_

eq

QueryDsl.from(a).where { a.addressId eq 1 }
/*
select t0_.ADDRESS_ID, t0_.STREET, t0_.VERSION from ADDRESS as t0_ where t0_.ADDRESS_ID = ?
*/

notEq

QueryDsl.from(a).where { a.addressId notEq 1 }
/*
select t0_.ADDRESS_ID, t0_.STREET, t0_.VERSION from ADDRESS as t0_ where t0_.ADDRESS_ID <> ?
*/

less

QueryDsl.from(a).where { a.addressId less 1 }
/*
select t0_.ADDRESS_ID, t0_.STREET, t0_.VERSION from ADDRESS as t0_ where t0_.ADDRESS_ID < ?
*/

lessEq

QueryDsl.from(a).where { a.addressId lessEq 1 }
/*
select t0_.ADDRESS_ID, t0_.STREET, t0_.VERSION from ADDRESS as t0_ where t0_.ADDRESS_ID <= ?
*/

greater

QueryDsl.from(a).where { a.addressId greater 1 }
/*
select t0_.ADDRESS_ID, t0_.STREET, t0_.VERSION from ADDRESS as t0_ where t0_.ADDRESS_ID > ?
*/

greaterEq

QueryDsl.from(a).where { a.addressId greaterEq 1 }
/*
select t0_.ADDRESS_ID, t0_.STREET, t0_.VERSION from ADDRESS as t0_ where t0_.ADDRESS_ID >= ?
*/

isNull

QueryDsl.from(e).where { e.managerId.isNull() }
/*
select t0_.EMPLOYEE_ID, t0_.EMPLOYEE_NO, t0_.EMPLOYEE_NAME, t0_.MANAGER_ID, t0_.HIREDATE, t0_.SALARY, t0_.DEPARTMENT_ID, t0_.ADDRESS_ID, t0_.VERSION from EMPLOYEE as t0_ where t0_.MANAGER_ID is null
*/

isNotNull

QueryDsl.from(e).where { e.managerId.isNotNull() }
/*
select t0_.EMPLOYEE_ID, t0_.EMPLOYEE_NO, t0_.EMPLOYEE_NAME, t0_.MANAGER_ID, t0_.HIREDATE, t0_.SALARY, t0_.DEPARTMENT_ID, t0_.ADDRESS_ID, t0_.VERSION from EMPLOYEE as t0_ where t0_.MANAGER_ID is not null
*/

like

QueryDsl.from(a).where { a.street like "STREET 1_" }.orderBy(a.addressId)
/*
select t0_.ADDRESS_ID, t0_.STREET, t0_.VERSION from ADDRESS as t0_ where t0_.STREET like ? escape ? order by t0_.ADDRESS_ID asc
*/

notLike

QueryDsl.from(a).where { a.street notLike "STREET 1_" }.orderBy(a.addressId)
/*
select t0_.ADDRESS_ID, t0_.STREET, t0_.VERSION from ADDRESS as t0_ where t0_.STREET not like ? escape ? order by t0_.ADDRESS_ID asc
*/

startsWith

QueryDsl.from(a).where { a.street startsWith "STREET 1" }.orderBy(a.addressId)
/*
select t0_.ADDRESS_ID, t0_.STREET, t0_.VERSION from ADDRESS as t0_ where t0_.STREET like ? escape ? order by t0_.ADDRESS_ID asc
*/

notStartsWith

QueryDsl.from(a).where { a.street notStartsWith "STREET 1" }.orderBy(a.addressId)
/*
select t0_.ADDRESS_ID, t0_.STREET, t0_.VERSION from ADDRESS as t0_ where t0_.STREET not like ? escape ? order by t0_.ADDRESS_ID asc
*/

contains

QueryDsl.from(a).where { a.street contains "T 1" }.orderBy(a.addressId)
/*
select t0_.ADDRESS_ID, t0_.STREET, t0_.VERSION from ADDRESS as t0_ where t0_.STREET like ? escape ? order by t0_.ADDRESS_ID asc
*/

notContains

QueryDsl.from(a).where { a.street notContains "T 1" }.orderBy(a.addressId)
/*
select t0_.ADDRESS_ID, t0_.STREET, t0_.VERSION from ADDRESS as t0_ where t0_.STREET not like ? escape ? order by t0_.ADDRESS_ID asc
*/

endsWith

QueryDsl.from(a).where { a.street endsWith "1" }.orderBy(a.addressId)
/*
select t0_.ADDRESS_ID, t0_.STREET, t0_.VERSION from ADDRESS as t0_ where t0_.STREET like ? escape ? order by t0_.ADDRESS_ID asc
*/

notEndsWith

QueryDsl.from(a).where { a.street notEndsWith "1" }.orderBy(a.addressId)
/*
select t0_.ADDRESS_ID, t0_.STREET, t0_.VERSION from ADDRESS as t0_ where t0_.STREET not like ? escape ? order by t0_.ADDRESS_ID asc
*/

between

QueryDsl.from(a).where { a.addressId between 5..10 }.orderBy(a.addressId)
/*
select t0_.ADDRESS_ID, t0_.STREET, t0_.VERSION from ADDRESS as t0_ where t0_.ADDRESS_ID between ? and ? order by t0_.ADDRESS_ID asc
*/

notBetween

QueryDsl.from(a).where { a.addressId notBetween 5..10 }.orderBy(a.addressId)
/*
select t0_.ADDRESS_ID, t0_.STREET, t0_.VERSION from ADDRESS as t0_ where t0_.ADDRESS_ID not between ? and ? order by t0_.ADDRESS_ID asc
*/

inList

QueryDsl.from(a).where { a.addressId inList listOf(9, 10) }.orderBy(a.addressId.desc())
/*
select t0_.ADDRESS_ID, t0_.STREET, t0_.VERSION from ADDRESS as t0_ where t0_.ADDRESS_ID in (?, ?) order by t0_.ADDRESS_ID desc
*/

The inList operator also accepts a subquery.

QueryDsl.from(e).where {
    e.addressId inList {
        QueryDsl.from(a)
            .where {
                e.addressId eq a.addressId
                e.employeeName like "%S%"
            }.select(a.addressId)
    }
}
/*
select t0_.EMPLOYEE_ID, t0_.EMPLOYEE_NO, t0_.EMPLOYEE_NAME, t0_.MANAGER_ID, t0_.HIREDATE, t0_.SALARY, t0_.DEPARTMENT_ID, t0_.ADDRESS_ID, t0_.VERSION from EMPLOYEE as t0_ where t0_.ADDRESS_ID in (select t1_.ADDRESS_ID from ADDRESS as t1_ where t0_.ADDRESS_ID = t1_.ADDRESS_ID and t0_.EMPLOYEE_NAME like ? escape ?)
*/

notInList

QueryDsl.from(a).where { a.addressId notInList (1..9).toList() }.orderBy(a.addressId)
/*
select t0_.ADDRESS_ID, t0_.STREET, t0_.VERSION from ADDRESS as t0_ where t0_.ADDRESS_ID not in (?, ?, ?, ?, ?, ?, ?, ?, ?) order by t0_.ADDRESS_ID asc
*/

The notInList operator also accepts a subquery.

QueryDsl.from(e).where {
    e.addressId notInList {
        QueryDsl.from(a).where {
            e.addressId eq a.addressId
            e.employeeName like "%S%"
        }.select(a.addressId)
    }
}
/*
select t0_.EMPLOYEE_ID, t0_.EMPLOYEE_NO, t0_.EMPLOYEE_NAME, t0_.MANAGER_ID, t0_.HIREDATE, t0_.SALARY, t0_.DEPARTMENT_ID, t0_.ADDRESS_ID, t0_.VERSION from EMPLOYEE as t0_ where t0_.ADDRESS_ID not in (select t1_.ADDRESS_ID from ADDRESS as t1_ where t0_.ADDRESS_ID = t1_.ADDRESS_ID and t0_.EMPLOYEE_NAME like ? escape ?)
*/

inList2

QueryDsl.from(a).where { a.addressId to a.version inList2 listOf(9 to 1, 10 to 1) }.orderBy(a.addressId.desc())
/*
select t0_.ADDRESS_ID, t0_.STREET, t0_.VERSION from ADDRESS as t0_ where (t0_.ADDRESS_ID, t0_.VERSION) in ((?, ?), (?, ?)) order by t0_.ADDRESS_ID desc
*/

The inList2 operator also accepts a subquery.

QueryDsl.from(e).where {
    e.addressId to e.version inList2 {
        QueryDsl.from(a)
            .where {
                e.addressId eq a.addressId
                e.employeeName like "%S%"
            }.select(a.addressId, a.version)
    }
}
/*
select t0_.EMPLOYEE_ID, t0_.EMPLOYEE_NO, t0_.EMPLOYEE_NAME, t0_.MANAGER_ID, t0_.HIREDATE, t0_.SALARY, t0_.DEPARTMENT_ID, t0_.ADDRESS_ID, t0_.VERSION from EMPLOYEE as t0_ where (t0_.ADDRESS_ID, t0_.VERSION) in (select t1_.ADDRESS_ID, t1_.VERSION from ADDRESS as t1_ where t0_.ADDRESS_ID = t1_.ADDRESS_ID and t0_.EMPLOYEE_NAME like ? escape ?)
*/

notInList2

QueryDsl.from(a).where { a.addressId to a.version notInList2 listOf(9 to 1, 10 to 1) }.orderBy(a.addressId)
/*
select t0_.ADDRESS_ID, t0_.STREET, t0_.VERSION from ADDRESS as t0_ where (t0_.ADDRESS_ID, t0_.VERSION) not in ((?, ?), (?, ?)) order by t0_.ADDRESS_ID asc
*/

The notInList2 operator also accepts a subquery.

QueryDsl.from(e).where {
    e.addressId to e.version notInList2 {
        QueryDsl.from(a).where {
            e.addressId eq a.addressId
            e.employeeName like "%S%"
        }.select(a.addressId, a.version)
    }
}
/*
select t0_.EMPLOYEE_ID, t0_.EMPLOYEE_NO, t0_.EMPLOYEE_NAME, t0_.MANAGER_ID, t0_.HIREDATE, t0_.SALARY, t0_.DEPARTMENT_ID, t0_.ADDRESS_ID, t0_.VERSION from EMPLOYEE as t0_ where (t0_.ADDRESS_ID, t0_.VERSION) not in (select t1_.ADDRESS_ID, t1_.VERSION from ADDRESS as t1_ where t0_.ADDRESS_ID = t1_.ADDRESS_ID and t0_.EMPLOYEE_NAME like ? escape ?)
*/

exists

QueryDsl.from(e).where {
    exists {
        QueryDsl.from(a).where {
            e.addressId eq a.addressId
            e.employeeName like "%S%"
        }
    }
}
/*
select t0_.EMPLOYEE_ID, t0_.EMPLOYEE_NO, t0_.EMPLOYEE_NAME, t0_.MANAGER_ID, t0_.HIREDATE, t0_.SALARY, t0_.DEPARTMENT_ID, t0_.ADDRESS_ID, t0_.VERSION from EMPLOYEE as t0_ where exists (select t1_.ADDRESS_ID, t1_.STREET, t1_.VERSION from ADDRESS as t1_ where t0_.ADDRESS_ID = t1_.ADDRESS_ID and t0_.EMPLOYEE_NAME like ? escape ?)
*/

notExists

QueryDsl.from(e).where {
    notExists {
        QueryDsl.from(a).where {
            e.addressId eq a.addressId
            e.employeeName like "%S%"
        }
    }
}
/*
select t0_.EMPLOYEE_ID, t0_.EMPLOYEE_NO, t0_.EMPLOYEE_NAME, t0_.MANAGER_ID, t0_.HIREDATE, t0_.SALARY, t0_.DEPARTMENT_ID, t0_.ADDRESS_ID, t0_.VERSION from EMPLOYEE as t0_ where not exists (select t1_.ADDRESS_ID, t1_.STREET, t1_.VERSION from ADDRESS as t1_ where t0_.ADDRESS_ID = t1_.ADDRESS_ID and t0_.EMPLOYEE_NAME like ? escape ?)
*/

Logical operators

Logical operators are available in the Having, On, When, and Where Declarations.

and

Expressions in the declaration are implicitly concatenated using the AND operator.

QueryDsl.from(a).where {
    a.addressId greater 1
    a.street startsWith "S"
    a.version less 100
}
/*
select t0_.ADDRESS_ID, t0_.STREET, t0_.VERSION from ADDRESS as t0_ where t0_.ADDRESS_ID > ? and t0_.STREET like ? escape ? and t0_.VERSION < ?
*/

To explicitly concatenate expression using the AND operator, pass a lambda expression to the and function.

QueryDsl.from(a).where {
  a.addressId greater 1
  and {
    a.street startsWith "S"
    a.version less 100
  }
}
/*
select t0_.ADDRESS_ID, t0_.STREET, t0_.VERSION from ADDRESS as t0_ where t0_.ADDRESS_ID > ? and (t0_.STREET like ? escape ? and t0_.VERSION < ?)
*/

or

To concatenate expressions using the OR operator, pass a lambda expression to the or function.

QueryDsl.from(a).where {
  a.addressId greater 1
  or {
    a.street startsWith "S"
    a.version less 100
  }
}
/*
select t0_.ADDRESS_ID, t0_.STREET, t0_.VERSION from ADDRESS as t0_ where t0_.ADDRESS_ID > ? or (t0_.STREET like ? escape ? and t0_.VERSION < ?)
*/

not

To use the NOT operator, pass a lambda expression to the not function.

QueryDsl.from(a).where {
    a.addressId greater 5
    not {
        a.addressId greaterEq 10
    }
}.orderBy(a.addressId)
/*
select t0_.ADDRESS_ID, t0_.STREET, t0_.VERSION from ADDRESS as t0_ where t0_.ADDRESS_ID > ? and not (t0_.ADDRESS_ID >= ?) order by t0_.ADDRESS_ID asc
*/

Arithmetic operators

The following operators are available as arithmetic operators:

These operators are defined in org.komapper.core.dsl.operator.

The following is an example of using the + operator:

QueryDsl.update(a).set {
    a.version eq (a.version + 10)
}.where {
    a.addressId eq 1
}
/*
update ADDRESS as t0_ set VERSION = (t0_.VERSION + ?) where t0_.ADDRESS_ID = ?
*/

Mathematical functions

The following function is available:

random

This function is defined in org.komapper.core.dsl.operator.

The following is an example of using the random function:

QueryDsl.from(a).orderBy(random())
/*
select t0_.ADDRESS_ID, t0_.STREET, t0_.VERSION from ADDRESS as t0_ order by random() asc
*/

String functions

The following functions are available as string functions:

concat
substring
locate
lower
upper
trim
ltrim
rtrim

These functions are defined in org.komapper.core.dsl.operator.

The following is an example of using the concat function:

QueryDsl.update(a).set {
  a.street eq (concat(concat("[", a.street), "]"))
}.where {
  a.addressId eq 1
}
/*
update ADDRESS as t0_ set STREET = (concat((concat(?, t0_.STREET)), ?)) where t0_.ADDRESS_ID = ?
*/

Aggregate functions

The following functions are available as aggregate functions:

avg
count
sum
max
min

These functions are defined in org.komapper.core.dsl.operator.

The expression obtained by the aggregate function call is intended to be used with the having or select function:

QueryDsl.from(e)
    .groupBy(e.departmentId)
    .having {
        count(e.employeeId) greaterEq 4L
    }
    .orderBy(e.departmentId)
    .select(e.departmentId, count(e.employeeId))
/*
select t0_.DEPARTMENT_ID, count(t0_.EMPLOYEE_ID) from EMPLOYEE as t0_ group by t0_.DEPARTMENT_ID having count(t0_.EMPLOYEE_ID) >= ? order by t0_.DEPARTMENT_ID asc
*/

avg

QueryDsl.from(a).select(avg(a.addressId))
/*
select avg(t0_.ADDRESS_ID) from ADDRESS as t0_
*/

count

To generate a SQL count(*), call the count function with no arguments:

QueryDsl.from(a).select(count())
/*
select count(*) from ADDRESS as t0_
*/

It is possible to pass a metamodel property to the count function:

QueryDsl.from(a).select(count(a.street))
/*
select count(t0_.STREET) from ADDRESS as t0_
*/

You can represent “count distinct” with the countDistinct function:

QueryDsl.from(a).select(countDistinct(a.street))
/*
select count(distinct t0_.STREET) from ADDRESS as t0_
*/

sum

QueryDsl.from(a).select(sum(a.addressId))
/*
select sum(t0_.ADDRESS_ID) from ADDRESS as t0_
*/

max

QueryDsl.from(a).select(max(a.addressId))
/*
select max(t0_.ADDRESS_ID) from ADDRESS as t0_
*/

min

QueryDsl.from(a).select(min(a.addressId))
/*
select min(t0_.ADDRESS_ID) from ADDRESS as t0_
*/

Window Functions

The following functions are available:

rowNumber
rank
denseRank
percentRank
cumeDist
ntile
lag
lead
firstValue
lastValue
nthValue

These functions are defined in org.komapper.core.dsl.operator.

rowNumber

QueryDsl.from(e)
    .orderBy(e.departmentId)
    .selectNotNull(e.departmentId, rowNumber().over { orderBy(e.departmentId) })
/*
select t0_.department_id, row_number() over(order by t0_.department_id asc) from employee as t0_ order by t0_.department_id asc
*/

rank

QueryDsl.from(e)
    .orderBy(e.departmentId)
    .selectNotNull(e.departmentId, rank().over { orderBy(e.departmentId) })
/*
select t0_.department_id, rank() over(order by t0_.department_id asc) from employee as t0_ order by t0_.department_id asc
*/

denseRank

QueryDsl.from(e)
    .orderBy(e.departmentId)
    .selectNotNull(e.departmentId, denseRank().over { orderBy(e.departmentId) })
/*
select t0_.department_id, dense_rank() over(order by t0_.department_id asc) from employee as t0_ order by t0_.department_id asc
*/

percentRank

QueryDsl.from(e)
    .orderBy(e.departmentId)
    .selectNotNull(e.departmentId, percentRank().over { orderBy(e.departmentId) })
/*
select t0_.department_id, percent_rank() over(order by t0_.department_id asc) from employee as t0_ order by t0_.department_id asc
*/

cumeDist

QueryDsl.from(e)
    .orderBy(e.departmentId)
    .selectNotNull(e.departmentId, cumeDist().over { orderBy(e.departmentId) })
/*
select t0_.department_id, cume_dist() over(order by t0_.department_id asc) from employee as t0_ order by t0_.department_id asc
*/

ntile

QueryDsl.from(e)
    .orderBy(e.departmentId)
    .selectNotNull(e.departmentId, ntile(5).over { orderBy(e.departmentId) })
/*
select t0_.department_id, ntile(5) over(order by t0_.department_id asc) from employee as t0_ order by t0_.department_id asc
*/

lag

val c1 = d.departmentId
val c2 = lag(d.departmentId).over { orderBy(d.departmentId) }
val c3 = lag(d.departmentId, 2).over { orderBy(d.departmentId) }
val c4 = lag(d.departmentId, 2, literal(-1)).over { orderBy(d.departmentId) }

QueryDsl.from(d)
    .orderBy(d.departmentId)
    .select(c1, c2, c3, c4)
/*
select t0_.department_id, lag(t0_.department_id) over(order by t0_.department_id asc), lag(t0_.department_id, 2) over(order by t0_.department_id asc), lag(t0_.department_id, 2, -1) over(order by t0_.department_id asc) from department as t0_ order by t0_.department_id asc
*/

lead

val d = Meta.department

val c1 = d.departmentId
val c2 = lead(d.departmentId).over { orderBy(d.departmentId) }
val c3 = lead(d.departmentId, 2).over { orderBy(d.departmentId) }
val c4 = lead(d.departmentId, 2, literal(-1)).over { orderBy(d.departmentId) }

QueryDsl.from(d)
    .orderBy(d.departmentId)
    .select(c1, c2, c3, c4)
/*
select t0_.department_id, lead(t0_.department_id) over(order by t0_.department_id asc), lead(t0_.department_id, 2) over(order by t0_.department_id asc), lead(t0_.department_id, 2, -1) over(order by t0_.department_id asc) from department as t0_ order by t0_.department_id asc
*/

firstValue

val d = Meta.department

val c1 = d.departmentId
val c2 = firstValue(d.departmentId).over { orderBy(d.departmentId) }
val c3 = firstValue(d.departmentId).over {
    orderBy(d.departmentId)
    rows(preceding(1))
}

QueryDsl.from(d)
    .orderBy(d.departmentId)
    .select(c1, c2, c3)
/*
select t0_.department_id, first_value(t0_.department_id) over(order by t0_.department_id asc), first_value(t0_.department_id) over(order by t0_.department_id asc rows 1 preceding) from department as t0_ order by t0_.department_id asc
*/

lastValue

val d = Meta.department

val c1 = d.departmentId
val c2 = lastValue(d.departmentId).over {
    orderBy(d.departmentId)
    rows(unboundedPreceding, unboundedFollowing)
}
val c3 = lastValue(d.departmentId).over {
    orderBy(d.departmentId)
    rows(currentRow, following(1))
}

QueryDsl.from(d)
    .orderBy(d.departmentId)
    .select(c1, c2, c3)
/*
select t0_.department_id, last_value(t0_.department_id) over(order by t0_.department_id asc rows between unbounded preceding and unbounded following), last_value(t0_.department_id) over(order by t0_.department_id asc rows between current row and 1 following) from department as t0_ order by t0_.department_id asc
*/

nthValue

val d = Meta.department

val c1 = d.departmentId
val c2 = nthValue(d.departmentId, 2).over {
    orderBy(d.departmentId)
}
val c3 = nthValue(d.departmentId, 2).over {
    orderBy(d.departmentId)
    rows(preceding(2))
}

QueryDsl.from(d)
    .orderBy(d.departmentId)
    .select(c1, c2, c3)
/*
select t0_.department_id, nth_value(t0_.department_id, 2) over(order by t0_.department_id asc), nth_value(t0_.department_id, 2) over(order by t0_.department_id asc rows 2 preceding) from department as t0_ order by t0_.department_id asc
*/

Conditional expression

The following functions and expressions are available as conditional expressions:

coalesce
case

These are defined in org.komapper.core.dsl.operator.

coalesce

The following is an example of using the coalesce function:

QueryDsl.from(a).select(a.addressId, coalesce(a.street, literal("default")))
/*
select t0_.ADDRESS_ID, coalesce(t0_.STREET, 'default') from ADDRESS as t0_
*/

CASE expressions

To use a CASE expression, call the case function:

val caseExpression = case(
  When(
    {
      a.street eq "STREET 2"
      a.addressId greater 1
    },
    literal("HIT")
  )
) { literal("NO HIT") }
val list: List<Pair<String?, String?>> = db.runQuery {
  QueryDsl.from(a).where { a.addressId inList listOf(1, 2, 3) }
    .orderBy(a.addressId)
    .select(a.street, caseExpression)
}
/*
select t0_.street, case when t0_.street = ? and t0_.address_id > ? then 'HIT' else 'NO HIT' end from address as t0_ where t0_.address_id in (?, ?, ?) order by t0_.address_id asc
*/

Scalar subqueries

A query that returns a scalar using an aggregate function is a scalar subquery. The scalar subquery can be passed to the select function of another query:

val subquery = QueryDsl.from(e).where { d.departmentId eq e.departmentId }.select(count())
val query = QueryDsl.from(d)
    .orderBy(d.departmentId)
    .select(d.departmentName, subquery)
/*
select t0_.department_name, (select count(*) from employee as t1_ where t0_.department_id = t1_.department_id) from department as t0_ order by t0_.department_id asc
*/

Literals

To embed a value directly into SQL as a literal without binding variable, call the literal function or nullLiteral function.

These functions are defined in org.komapper.core.dsl.operator.

The literal function supports the following argument types:

Boolean
Int
Long
String

Here is an example of literal function usage:

QueryDsl.insert(a).values {
  a.addressId eq 100
  a.street eq literal("STREET 100")
  a.version eq literal(100)
}
/*
insert into ADDRESS (ADDRESS_ID, STREET, VERSION) values (?, 'STREET 100', 100)
*/

To use a null literal, call the nullLiteral function:

QueryDsl.insert(a).values {
  a.addressId eq 100
  a.street eq nullLiteral(String::class)
  a.version eq nullLiteral(Long::class)
}
/*
insert into ADDRESS (ADDRESS_ID, STREET, VERSION) values (?, null, null)
*/

User-defined expressions

Custom comparison operators

Define custom comparison operators within a class that takes org.komapper.core.dsl.operator.CriteriaContext as a constructor argument. The logic to generate SQL corresponding to the operator is added to CriteriaContext as a lambda function.

In the example below, the ~ and !~ operators are defined:

class MyExtension(private val context: CriteriaContext) {

    infix fun <T : Any> ColumnExpression<T, String>.`~`(pattern: T?) {
        if (pattern == null) return
        val o1 = Operand.Column(this)
        val o2 = Operand.Argument(this, pattern)
        context.add {
            visit(o1)
            append(" ~ ")
            visit(o2)
        }
    }

    infix fun <T : Any> ColumnExpression<T, String>.`!~`(pattern: T?) {
        if (pattern == null) return
        val o1 = Operand.Column(this)
        val o2 = Operand.Argument(this, pattern)
        context.add {
            visit(o1)
            append(" !~ ")
            visit(o2)
        }
    }
}

To use the operator, call the extension function within declarations like Where or Having. Specify the above constructor and a lambda expression to invoke the operator as arguments to the extension function.

You can use the ~ and !~ operators in your query as follows:

QueryDsl.from(e).where {
    e.salary greaterEq BigDecimal(1000)
    extension(::MyExtension) {
        e.employeeName `~` "S"
        e.employeeName `!~` "T"
    }
}.orderBy(e.employeeName)
/*
select 
    t0_.EMPLOYEE_ID, 
    t0_.EMPLOYEE_NO, 
    t0_.EMPLOYEE_NAME, 
    t0_.MANAGER_ID, 
    t0_.HIREDATE, 
    t0_.SALARY, 
    t0_.DEPARTMENT_ID, 
    t0_.ADDRESS_ID, 
    t0_.VERSION 
from 
    EMPLOYEE as t0_ 
where 
    t0_.SALARY >= ?
    t0_.EMPLOYEE_NAME ~ ?
    t0_.EMPLOYEE_NAME !~ ?
order by
    t0_.EMPLOYEE_NAME
*/

Custom column expressions

Define custom column expressions as Kotlin functions that return org.komapper.core.dsl.expression.ColumnExpression. You can create ColumnExpression by calling org.komapper.core.dsl.operator.columnExpression. Pass the type of the column expression, information to uniquely identify the column expression, and a lambda expression to generate SQL to columnExpression.

In the example below, the replace function is defined:

private inline fun <reified T : Any> replace(
    expression: ColumnExpression<T, String>,
    from: T,
    to: T,
): ColumnExpression<T, String> {
    val name = "replace"
    val o1 = Operand.Column(expression)
    val o2 = Operand.Argument(expression, from)
    val o3 = Operand.Argument(expression, to)
    return columnExpression(expression, name, listOf(o1, o2, o3)) {
        append("$name(")
        visit(o1)
        append(", ")
        visit(o2)
        append(", ")
        visit(o3)
        append(")")
    }
}

You can use the replace function in your query as follows:

QueryDsl.from(a)
    .where { a.addressId eq 1 }
    .select(replace(a.street, "STREET", "St.")).first()
/*
select replace(t0_.STREET, ?, ?) from ADDRESS as t0_ where t0_.ADDRESS_ID = ?
*/

Last modified July 13, 2024: Simplify the definition of custom column expressions (08c77a6)