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Repository Details

A Scala ORM library


MapperDao is an ORM library for the scala language and the following databases:

  • oracle
  • postgresql
  • mysql
  • derby
  • sql server
  • h2

It allows ...(more)


  • 28/12/2016 : 1.0.2 for scala 2.11 and 2.12 is released.
  • 05/04/2015 : moved the project to github.
  • 25/08/2014 : updated the tutorial
  • 08/06/2014 : 1.0.1 for scala 2.10 & 2.11 is available, a maintenance release. The artifactId now complies with sbt rules reg. scala version. Also minor clean up of the exposed API and code.
  • 21/04/2014 : is now released for scala 2.11 .
  • 20/04/2014 : is now released for scala 2.10 .
  • 18/01/2014 : with immutable query DSL, better aliasing and immutable builder


Quick Links


import java.util.Properties
import org.apache.commons.dbcp.BasicDataSourceFactory

// create a datasource using apache dbcp
val properties = new Properties
val dataSource = BasicDataSourceFactory.createDataSource(properties)

// create the mapperdao instance, connect to an oracle database and register our 2 entities
import com.googlecode.mapperdao.utils.Setup
val (jdbc,mapperDao,queryDao,txManager) = Setup.oracle(dataSource,List(PersonEntity,CompanyEntity))

// domain model classes (immutable)
class Person(val name: String, val company: Company)
class Company(val name: String)

// mappings (using default table and column naming convention)
object PersonEntity extends Entity[Int,SurrogateIntId, Person] {
	val id = key("id") autogenerated (_.id)
	val name = column("name") to (_.name)
	val company = manytoone(CompanyEntity) to (_.company)

	def constructor(implicit m) = new Person(name, company) with Stored {
		val id: Int = PersonEntity.id

object CompanyEntity extends Entity[Int,SurrogateIntId, Company] {
	val id = key("id") autogenerated (_.id)
	val name = column("name") to (_.name)

	def constructor(implicit m) = new Company(name) with Stored {
		val id: Int = CompanyEntity.id

val tx = Transaction.get(txManager, Propagation.Nested, Isolation.ReadCommited, -1) 

// insert a person
import mapperDao._
val person = new Person("Kostas", new Company("Coders limited"))

val inserted = tx { () => insert(PersonEntity, person) } // inserts person, company, in 1 transaction

// print the autogenerated id and the person name
println(s"${inserted.id} ${inserted.name}"))

// now update the company for this person
val company2 = insert(CompanyEntity, Company("Scala Inc"))
val modified = new Person(inserted.name, company2)
val updated = update(PersonEntity, inserted, modified) // no transaction here, but we could do the operation transactionally

// and select it from the database
val selected = select(PersonEntity, updated.id).get

// finally, delete the row
mapperDao.delete(PersonEntity, selected)

// run some queries
val pe=PersonEntity //alias
val people=query(select from pe) // get all
// people is a list of Person with IntId

// fetch only page 2 of all people
val people=query(QueryConfig.pagination(2, 10),select from pe)
// people is a list of Person with IntId


  • sqlite driver
  • optimistic locking
  • sum, avg, min, max and for column mappings and groupby in mappings of statistical entities

MapperDao would like to thank

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