Lift

MongoDocument is a lightweight Object Document Mapper that uses case classes as model classes. It provides a way to convert, via JObjectParser, case classes to DBObjects and an API to save, update, and find them in the database.

This depends on the lift-json project, but it doesn’t have any dependencies itself. See DocumentExamples.scala for examples.

Define domain objects:

import net.liftweb._
import mongodb._
import org.bson.types.ObjectId
import java.util.Date

case class Address(street: String, city: String)
case class Child(name: String, age: Int, birthdate: Option[Date])

object Person extends MongoDocumentMeta[Person] {
  override def collectionName = "mypersons"
  override def formats = super.formats + new ObjectIdSerializer + new DateSerializer
}

case class Person(_id: ObjectId, name: String, age: Int, address: Address, children: List[Child])
  extends  MongoDocument[Person] {
  def meta = Person
}

Create an instance:

def date(s: String) = Person.formats.dateFormat.parse(s).get
val p = Person(
  ObjectId.get,
  "joe",
  27,
  Address("Bulevard", "Helsinki"),
  List(Child("Mary", 5, Some(date("2004-09-04T18:06:22.000Z"))), Child("Mazy", 3, None))
)

Save it:

p.save

Retrieve it:

val pFromDb = Person.find(p._id)

Delete it:

p.delete

Querying and Updating

All of the methods that require a query (find, findAll, count, update) take either a DBObject or JObject as the query. This means you can either use the standard mongo-java-driver apis, or use the lift-json DSL to construct your queries.

JsonDSL example:

import net.liftweb.json.JsonDSL._

Person.findAll(("name" -> "joe") ~ ("age" -> 27))

QueryBuilder example:

import com.mongodb._

val qry = QueryBuilder.start("name").is("joe")
  .put("age").is(27)
  .get

Person.findAll(qry)