INSERT Queries

Overview

The INSERT query is constructed by calling QueryDsl.insert and subsequent functions.

If a duplicate key is detected during INSERT query execution, the org.komapper.core.UniqueConstraintException is thrown.

single

To add a single entity, call the single function:

val address: Address = Address(16, "STREET 16", 0)
val query: Query<Address> = QueryDsl.insert(a).single(address)
/*
insert into ADDRESS (ADDRESS_ID, STREET, VERSION) values (?, ?, ?)
*/

When the above query is executed, the return value is a new entity representing the added data.

Depending on the mapping definitions shown below, both the SQL and the new entity will reflect the appropriate values.

• @KomapperAutoIncrement
• @KomapperSequence
• @KomapperVersion
• @KomapperCreatedAt
• @KomapperUpdatedAt

multiple

To add multiple entities in one statement, call the multiple function:

val query: Query<List<Address>> = QueryDsl.insert(a).multiple(
    Address(16, "STREET 16", 0),
    Address(17, "STREET 17", 0),
    Address(18, "STREET 18", 0)
)
/*
insert into ADDRESS (ADDRESS_ID, STREET, VERSION) values (?, ?, ?), (?, ?, ?), (?, ?, ?)
*/

When the above query is executed, the return value is a list of new entities representing the added data.

Depending on the mapping definitions shown below, both the SQL and the new entity will reflect the appropriate values.

• @KomapperAutoIncrement
• @KomapperSequence
• @KomapperVersion
• @KomapperCreatedAt
• @KomapperUpdatedAt

batch

To add multiple entities in a batch, call the batch function.

val query: Query<List<Address>> = QueryDsl.insert(a).batch(
    Address(16, "STREET 16", 0),
    Address(17, "STREET 17", 0),
    Address(18, "STREET 18", 0)
)
/*
insert into ADDRESS (ADDRESS_ID, STREET, VERSION) values (?, ?, ?)
insert into ADDRESS (ADDRESS_ID, STREET, VERSION) values (?, ?, ?)
insert into ADDRESS (ADDRESS_ID, STREET, VERSION) values (?, ?, ?)
*/

When the above query is executed, the return value is a list of new entities representing the added data.

Depending on the mapping definitions shown below, both the SQL and the new entity will reflect the appropriate values.

• @KomapperAutoIncrement
• @KomapperSequence
• @KomapperVersion
• @KomapperCreatedAt
• @KomapperUpdatedAt

onDuplicateKeyIgnore

Call the onDuplicateKeyIgnore function to ignore errors in case of duplicate keys. The key to be checked for duplicates can be specified in the onDuplicateKeyIgnore function. If not specified, the primary key is used.

val address: Address = ..
val query: Query<Address?> = QueryDsl.insert(a).onDuplicateKeyIgnore().executeAndGet(address)

The SQL corresponding to the above query depends on which Dialect is used. For example, if you use MariaDB’s Dialect, the SQL would be as follows:

insert ignore into ADDRESS (ADDRESS_ID, STREET, VERSION) values (?, ?, ?)

When using PostgreSQL’s Dialect, the SQL would be as follows:

insert into ADDRESS as t0_ (ADDRESS_ID, STREET, VERSION) values (?, ?, ?) on conflict (ADDRESS_ID) do nothing

val address: Address = ..
val query: Query<Address?> = QueryDsl.insert(a).onDuplicateKeyIgnore() {
    a.street.isNull()
}.single(address)

executeAndGet

If the executeAndGet function is called following the onDuplicateKeyIgnore function, the return value is an entity representing the added data. If the key is a duplicate, null is returned.

single

If the single function is called following the onDuplicateKeyIgnore function, the return value is driver specific.

multiple

If the multiple function is called following the onDuplicateKeyIgnore function, the return value is driver specific.

batch

If the batch function is called following the onDuplicateKeyIgnore function, the return value is driver specific.

onDuplicateKeyUpdate

Call the onDuplicateKeyUpdate function to update the target row when a key is duplicated. The key to be checked for duplicates can be specified in the onDuplicateKeyUpdate function. If not specified, the primary key is used.

val department: Department = ..
val query: Query<Address> = QueryDsl.insert(d).onDuplicateKeyUpdate().executeAndGet(department)

The SQL corresponding to the above query depends on which Dialect is used. For example, if you use MariaDB’s Dialect, the SQL would be as follows:

insert into DEPARTMENT (DEPARTMENT_ID, DEPARTMENT_NO, DEPARTMENT_NAME, LOCATION, VERSION) values (?, ?, ?, ?, ?) on duplicate key update DEPARTMENT_NO = values(DEPARTMENT_NO), DEPARTMENT_NAME = values(DEPARTMENT_NAME), LOCATION = values(LOCATION), VERSION = values(VERSION)

When using PostgreSQL’s Dialect, the SQL would be as follows:

insert into DEPARTMENT as t0_ (DEPARTMENT_ID, DEPARTMENT_NO, DEPARTMENT_NAME, LOCATION, VERSION) values (?, ?, ?, ?, ?) on conflict (DEPARTMENT_ID) do update set DEPARTMENT_NO = excluded.DEPARTMENT_NO, DEPARTMENT_NAME = excluded.DEPARTMENT_NAME, LOCATION = excluded.LOCATION, VERSION = excluded.VERSION

val address: Address = ..
val query: Query<Address?> = QueryDsl.insert(a).onDuplicateKeyUpdate() {
    a.street.isNull()
}.single(address)

executeAndGet

If the executeAndGet function is called following onDuplicateKeyUpdate, the return value is an entity representing the data that was added or updated.

single

If the single function is called following the onDuplicateKeyUpdate function, the return value is driver specific.

multiple

If the single function is called following the multiple function, the return value is driver specific.

batch

If the single function is called following the batch function, the return value is driver specific.

set

After calling the onDuplicateKeyUpdate function, you can call the set function to set specific values to the columns to be updated:

val department: Department = ..
val query = QueryDsl.insert(d).onDuplicateKeyUpdate().set { excluded ->
    d.departmentName eq "PLANNING2"
    d.location eq concat(d.location, concat("_", excluded.location))
}.single(department)

The set function accepts the lambda expression whose parameter is excluded. The excluded represents the metamodel of the entity being added. Therefore, the use of excluded allows for updates based on the data being added.

When using PostgreSQL’s Dialect, the above query generates the following SQL:

insert into DEPARTMENT as t0_ (DEPARTMENT_ID, DEPARTMENT_NO, DEPARTMENT_NAME, LOCATION, VERSION) values (?, ?, ?, ?, ?) on conflict (DEPARTMENT_ID) do update set DEPARTMENT_NAME = ?, LOCATION = (concat(t0_.LOCATION, (concat(?, excluded.LOCATION))))

When using MySQL’s Dialect, the above query generates the following SQL:

insert into DEPARTMENT (DEPARTMENT_ID, DEPARTMENT_NO, DEPARTMENT_NAME, LOCATION, VERSION) values (?, ?, ?, ?, ?) as excluded on duplicate key update DEPARTMENT_NAME = ?, LOCATION = (concat(DEPARTMENT.LOCATION, (concat(?, excluded.LOCATION))))

where

After calling the onDuplicateKeyUpdate function, you can call the where function to set search conditions:

val department: Department = ..
val query = QueryDsl.insert(d).onDuplicateKeyUpdate().where {
    d.departmentName eq "PLANNING"
}.single(department)

dangerouslyOnDuplicateKeyIgnore

This function is equivalent to onDuplicateKeyIgnore except that an arbitrary conflict_target can be specified.

dangerouslyOnDuplicateKeyUpdate

This function is equivalent to onDuplicateKeyUpdate except that an arbitrary conflict_target can be specified.

values

To set a value for each property and add one row, pass a lambda expression to the values function. Within the lambda expression, values can be set to properties using the eq function:

val query: Query<Pair<Long, Int?>> = QueryDsl.insert(a).values {
  a.addressId eq 19
  a.street eq "STREET 16"
  a.version eq 0
}
/*
insert into ADDRESS (ADDRESS_ID, STREET, VERSION) values (?, ?, ?)
*/

To set a value only if the value is not null, use the eqIfNotNull function:

val query: Query<Pair<Long, Int?>> = QueryDsl.insert(a).values {
    a.addressId eq 19
    a.street eqIfNotNull street
    a.version eq 0
}

When the above query is executed, the return value is a Pair of the number of rows added and IDs generated. IDs are returned only if @KomapperAutoIncrement or @KomapperSequence is annotated in the mapping definition.

If you do not explicitly call the eq function for properties with the following mapping definitions then the value is automatically set in the generated SQL:

• @KomapperSequence
• @KomapperVersion
• @KomapperCreatedAt
• @KomapperUpdatedAt

If you explicitly call the eq function for those properties, the explicit value takes precedence.

The definition of KomapperAutoIncrement cannot be disabled with an explicit value.

select

To add search results, call the select function.

val aa = Meta.address.clone(table = "ADDRESS_ARCHIVE")
val query: Query<Long, List<Int>> = QueryDsl.insert(aa).select {
  QueryDsl.from(a).where { a.addressId between 1..5 }
}
/*
insert into ADDRESS_ARCHIVE (ADDRESS_ID, STREET, VERSION) select t1_.ADDRESS_ID, t1_.STREET, t1_.VERSION from ADDRESS as t1_ where t1_.ADDRESS_ID between ? and ?
*/

When the above query is executed, the return value is a Pair of the number of rows added and a list of IDs generated. IDs are generated only if @KomapperAutoIncrement is annotated in the entity class mapping definition.

The following mapping definitions are not considered:

• @KomapperSequence
• @KomapperVersion
• @KomapperCreatedAt
• @KomapperUpdatedAt

returning

By calling the returning function after the following functions, you can retrieve the added or updated values:

• single
• multiple
• values

Here is an example of calling the returning function after the single function:

val address: Address = Address(16, "STREET 16", 0)
val query: Query<Address> = QueryDsl.insert(a).single(address).returning()
/*
insert into ADDRESS (ADDRESS_ID, STREET, VERSION) values (?, ?, ?) returning ADDRESS_ID, STREET, VERSION
*/

You can limit the columns to be retrieved by specifying properties in the returning function:

val query: Query<Int?> = QueryDsl.insert(a).single(address).returning(a.addressId)
/*
insert into ADDRESS (ADDRESS_ID, STREET, VERSION) values (?, ?, ?) returning ADDRESS_ID
*/

val query: Query<Pair<Int?, String?>> = QueryDsl.insert(a).single(address).returning(a.addressId, a.street)
/*
insert into ADDRESS (ADDRESS_ID, STREET, VERSION) values (?, ?, ?) returning ADDRESS_ID, STREET
*/

val query: Query<Triple<Int?, String?, Int?>> = QueryDsl.insert(a).single(address).returning(a.addressId, a.street, a.version)
/*
insert into ADDRESS (ADDRESS_ID, STREET, VERSION) values (?, ?, ?) returning ADDRESS_ID, STREET, VERSION
*/

The returning function can also be used in combination with the onDuplicateKeyIgnore or onDuplicateKeyUpdate functions:

val departments = listOf(
    Department(5, 50, "PLANNING", 1),
    Department(1, 60, "DEVELOPMENT", 1),
)
val query: Query<List<Department>> = QueryDsl.insert(d).onDuplicateKeyUpdate().multiple(departments).returning()
/*
insert into department as t0_ (department_id, department_no, department_name, version) 
values (?, ?, ?, ?), (?, ?, ?, ?) on conflict (department_id)
do update set department_no = excluded.department_no, department_name = excluded.department_name, version = excluded.version 
returning department_id, department_no, department_name, version
*/

options

To customize the behavior of the query, call the options function. The options function accept a lambda expression whose parameter represents default options. Call the copy function on the parameter to change its properties:

val address: Address = Address(16, "STREET 16", 0)
val query: Query<Address> = QueryDsl.insert(a).single(address).options {
    it.copy(
      queryTimeoutSeconds = 5
    )
}

The options that can be specified are as follows:

batchSize

Default is null.

disableSequenceAssignment

Whether to disable the assignment of sequence-generated values to IDs. Default is false.

queryTimeoutSeconds

Query timeout in seconds. Default is null to indicate that the driver value should be used.

returnGeneratedKeys

Whether to return the auto-incremented ID value. Default is true.

suppressLogging

Whether to suppress SQL log output. Default is false.

Properties explicitly set here will be used in preference to properties with the same name that exist in executionOptions.