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基本上我想要实现的是以下组合：

Slick 3.0.0 数据库不可知论 和 Slick 3 可重用通用存储库

实际上，我尝试了很多，但我根本无法让它工作。

abstract class BaseModel[T <: slick.lifted.AbstractTable[_]](query: TableQuery[T], val driver: JdbcProfile, val dbTableName: String)
{
  lazy val all: TableQuery[T] = TableQuery[T]
  import driver.api._

  def createTable = all.schema.create
  def dropTable = all.schema.create

  abstract class BaseTable[B](val tag: Tag) extends Table[B](tag, dbTableName)
  {
    def id = column[Long]("id", O.PrimaryKey, O.AutoInc)
  }
}

现在我们已经有一个问题了：

def createTable = all.schema.create与dropTable...->相同schema，虽然我之前导入了驱动程序，但在这里无法解决。

但是，当我将其子类化时，会出现更大的问题：

这是代码

class NodeModel(driver: JdbcProfile, dbTableName: String) extends BaseModel[NodeTable](TableQuery[NodeTable], driver, dbTableName) {

  val dbDriver = driver
  import dbDriver.api._

  class NodeTable(tag: Tag) extends BaseTable[Node](tag)
  {
    override def * = id.? <> (Node, Node.unapply)
  }

  //lazy val all: TableQuery[NodeTable] = TableQuery[NodeTable]
  def createTable: DBIO[Unit] = all.schema.create
  def dropTable: DBIO[Unit] = all.schema.drop 
  def insert(node: Node) = all += node
}

这显然不会编译，因为我不能通过NodeTableas T，但可以了解我想要实现的目标。

你知道如何解决这个问题吗？我还尝试使用伴随对象，将其BaseTable移出BaseModel并尝试加载simpleDriver...但看起来该功能在最近的版本中已从 Slick 中删除:(

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1 回答 1

5

数据库不可知论和代码是高度可重用的

我正在使用Slickwith Playframework，这就是我实现数据库不可知和通用存储库的方式。

请注意，这项工作的灵感来自 Active Slick

我想在我的case class. 我应该能够做到count,update和. 我只想编写一次凝乳代码并永远重复使用它。deletecreate

这是演示这一点的片段。

case class Dog(name: String, id: Option[Long] = None)
Dog("some_dog").save()
Dog("some_dog").insert()
Dog("some_dog", Some(1)).delete()

CrudActions.scala

import slick.backend.DatabaseConfig
import slick.driver.JdbcProfile

import scala.concurrent.ExecutionContext


trait CrudActions {
  val dbConfig: DatabaseConfig[JdbcProfile]
  import dbConfig.driver.api._

  type Model

  def count: DBIO[Int]

  def save(model: Model)(implicit ec: ExecutionContext): DBIO[Model]

  def update(model: Model)(implicit ec: ExecutionContext): DBIO[Model]

  def delete(model: Model)(implicit ec: ExecutionContext): DBIO[Int]

  def fetchAll(fetchSize: Int = 100)(implicit ec: ExecutionContext): StreamingDBIO[Seq[Model], Model]
}

现在让我们Entity进入图片。请注意，这Entity不过是我们的案例类

Entity是case class我们做crud操作的地方。为了定位我们的实体，让我们也有Id到位。Id对于在数据库中定位和操作实体或记录很重要。也是Id实体的唯一身份

EntityActionsLike.scala

import slick.backend.DatabaseConfig
import slick.driver.JdbcProfile

import scala.concurrent.ExecutionContext

trait EntityActionsLike extends CrudActions {
  val dbConfig: DatabaseConfig[JdbcProfile]
  import dbConfig.driver.api._

  type Entity

  type Id

  type Model = Entity

  def insert(entity: Entity)(implicit ec: ExecutionContext): DBIO[Id]

  def deleteById(id: Id)(implicit ec: ExecutionContext): DBIO[Int]

  def findById(id: Id)(implicit ec: ExecutionContext): DBIO[Entity]

  def findOptionById(id: Id)(implicit ec: ExecutionContext): DBIO[Option[Entity]]
}

现在让我们实现这些方法。为了进行操作，我们需要Table和TableQuery。可以说我们有table和tableQuery。trait 的好处是我们可以声明一个契约并将实现细节留给子类或子类型

EntityActions.scala

import slick.ast.BaseTypedType
import slick.backend.DatabaseConfig
import slick.driver.JdbcProfile

import scala.concurrent.ExecutionContext

trait EntityActions extends EntityActionsLike {
  val dbConfig: DatabaseConfig[JdbcProfile]
  import dbConfig.driver.api._

  type EntityTable <: Table[Entity]

  def tableQuery: TableQuery[EntityTable]

  def $id(table: EntityTable): Rep[Id]

  def modelIdContract: ModelIdContract[Entity,Id]

  override def count: DBIO[Int] = tableQuery.size.result

  override def insert(entity: Entity)(implicit ec: ExecutionContext): DBIO[Id] = {
    tableQuery.returning(tableQuery.map($id(_))) += entity
  }

  override def deleteById(id: Id)(implicit ec: ExecutionContext): DBIO[Int] = {
    filterById(id).delete
  }

  override def findById(id: Id)(implicit ec: ExecutionContext): DBIO[Entity] = {
    filterById(id).result.head
  }

  override def findOptionById(id: Id)(implicit ec: ExecutionContext): DBIO[Option[Entity]] = {
    filterById(id).result.headOption
  }

  override def save(model: Entity)(implicit ec: ExecutionContext): DBIO[Entity] = {
    insert(model).flatMap { id =>
      filterById(id).result.head
    }.transactionally
  }

  override def update(model: Entity)(implicit ec: ExecutionContext): DBIO[Entity] = {
    filterById(modelIdContract.get(model)).update(model).map { _ => model }.transactionally
  }

  override def delete(model: Entity)(implicit ec: ExecutionContext): DBIO[Int] = {
    filterById(modelIdContract.get(model)).delete
  }

  override def fetchAll(fetchSize: Int)(implicit ec: ExecutionContext): StreamingDBIO[Seq[Entity], Entity] = {
    tableQuery.result.transactionally.withStatementParameters(fetchSize = fetchSize)
  }

  def filterById(id: Id) = tableQuery.filter($id(_) === id)

  def baseTypedType: BaseTypedType[Id]

  protected implicit lazy val btt: BaseTypedType[Id] = baseTypedType

}

ActiveRecord.scala

import slick.dbio.DBIO

import scala.concurrent.ExecutionContext


abstract class ActiveRecord[R <: CrudActions](val repo: R) {
  def model: repo.Model
  def save()(implicit ec: ExecutionContext): DBIO[repo.Model] = repo.save(model)
  def update()(implicit ec: ExecutionContext): DBIO[repo.Model] = repo.update(model)
  def delete()(implicit ec: ExecutionContext): DBIO[Int] = repo.delete(model)
}

模型合约.scala

case class ModelIdContract[A, B](get: A => B, set: (A, B) => A)

如何使用

示例.scala

import com.google.inject.{Inject, Singleton}
import play.api.db.slick.DatabaseConfigProvider
import slick.ast.BaseTypedType
import slick.backend.DatabaseConfig
import slick.driver.JdbcProfile
import slick.{ActiveRecord, EntityActions, ModelIdContract}

case class Dog(name: String, id: Option[Long] = None)

@Singleton
class DogActiveRecord @Inject() (databaseConfigProvider: DatabaseConfigProvider) extends EntityActions {

  override val dbConfig: DatabaseConfig[JdbcProfile] = databaseConfigProvider.get[JdbcProfile]

  import dbConfig.driver.api._

  override def tableQuery = TableQuery(new Dogs(_))

  override def $id(table: Dogs): Rep[Id] = table.id

  override def modelIdContract: ModelIdContract[Dog, Id] = ModelIdContract(dog => dog.id.get, (dog, id) => dog.copy(id = Some(id)))

  override def baseTypedType: BaseTypedType[Id] = implicitly[BaseTypedType[Id]]

  override type Entity = Dog
  override type Id = Long
  override type EntityTable = Dogs

  class Dogs(tag: Tag) extends Table[Dog](tag, "DogsTable") {
    def name = column[String]("name")
    def id = column[Long]("id", O.PrimaryKey)
    def * = (name, id.?) <> (Dog.tupled, Dog.unapply)
  }

  implicit class ActiveRecordImplicit(val model: Entity) extends ActiveRecord(this)

  import scala.concurrent.ExecutionContext.Implicits.global

  val result = Dog("some_dog").save()

  val res2 = Dog("some_other_dog", Some(1)).delete()

  val res3 = Dog("some_crazy_dog", Some(1)).update()
}

现在我们可以Dog像这样直接进行操作

Dog("some_dog").save()

这隐含的为我们创造了魔力

implicit class ActiveRecordImplicit(val model: Entity) extends ActiveRecord(this)

您还可以scheme在 EntityActions 中添加创建和删除逻辑

tableQuery.schema.create
table.schema.drop
于 2016-09-15T06:40:48.913 回答