Slick 3.0 最佳实践
Slick 3.0 best practices
来自 JPA 和 Hibernate,我发现除了使用一些连接和聚合查询之外,使用 Slick 非常直接。
在定义我的表和映射案例 classes 时,我可以采用一些最佳实践吗?我目前有一个 class 包含所有查询、Table 定义和查询数据库时映射到的案例 classes。这个 class 处理了 10 到 15 个表,文件变得相当大。
我现在想知道是否应该将它分成不同的包以便于阅读。大家怎么看?
您可以将灵活的映射 table 与灵活的查询分开。将光滑映射 table 放入特征中。在你想写查询的地方混合这个特征并加入 table。例如:
package com.knol.db.repo
import com.knol.db.connection.DBComponent
import scala.concurrent.Future
trait BankRepository extends BankTable { this: DBComponent =>
import driver.api._
def create(bank: Bank): Future[Int] = db.run { bankTableAutoInc += bank }
def update(bank: Bank): Future[Int] = db.run { bankTableQuery.filter(_.id === bank.id.get).update(bank) }
def getById(id: Int): Future[Option[Bank]] = db.run { bankTableQuery.filter(_.id === id).result.headOption }
def getAll(): Future[List[Bank]] = db.run { bankTableQuery.to[List].result }
def delete(id: Int): Future[Int] = db.run { bankTableQuery.filter(_.id === id).delete }
}
private[repo] trait BankTable { this: DBComponent =>
import driver.api._
private[BankTable] class BankTable(tag: Tag) extends Table[Bank](tag,"bank") {
val id = column[Int]("id", O.PrimaryKey, O.AutoInc)
val name = column[String]("name")
def * = (name, id.?) <> (Bank.tupled, Bank.unapply)
}
protected val bankTableQuery = TableQuery[BankTable]
protected def bankTableAutoInc = bankTableQuery returning bankTableQuery.map(_.id)
}
case class Bank(name: String, id: Option[Int] = None)
加入两个table:
package com.knol.db.repo
import com.knol.db.connection.DBComponent
import scala.concurrent.Future
trait BankInfoRepository extends BankInfoTable { this: DBComponent =>
import driver.api._
def create(bankInfo: BankInfo): Future[Int] = db.run { bankTableInfoAutoInc += bankInfo }
def update(bankInfo: BankInfo): Future[Int] = db.run { bankInfoTableQuery.filter(_.id === bankInfo.id.get).update(bankInfo) }
def getById(id: Int): Future[Option[BankInfo]] = db.run { bankInfoTableQuery.filter(_.id === id).result.headOption }
def getAll(): Future[List[BankInfo]] = db.run { bankInfoTableQuery.to[List].result }
def delete(id: Int): Future[Int] = db.run { bankInfoTableQuery.filter(_.id === id).delete }
def getBankWithInfo(): Future[List[(Bank, BankInfo)]] =
db.run {
(for {
info <- bankInfoTableQuery
bank <- info.bank
} yield (bank, info)).to[List].result
}
def getAllBankWithInfo(): Future[List[(Bank, Option[BankInfo])]] =
db.run {
bankTableQuery.joinLeft(bankInfoTableQuery).on(_.id === _.bankId).to[List].result
}
}
private[repo] trait BankInfoTable extends BankTable { this: DBComponent =>
import driver.api._
private[BankInfoTable] class BankInfoTable(tag: Tag) extends Table[BankInfo](tag,"bankinfo") {
val id = column[Int]("id", O.PrimaryKey, O.AutoInc)
val owner = column[String]("owner")
val bankId = column[Int]("bank_id")
val branches = column[Int]("branches")
def bank = foreignKey("bank_product_fk", bankId, bankTableQuery)(_.id)
def * = (owner, branches, bankId, id.?) <> (BankInfo.tupled, BankInfo.unapply)
}
protected val bankInfoTableQuery = TableQuery[BankInfoTable]
protected def bankTableInfoAutoInc = bankInfoTableQuery returning bankInfoTableQuery.map(_.id)
}
case class BankInfo(owner: String, branches: Int, bankId: Int, id: Option[Int] = None)
来自 JPA 和 Hibernate,我发现除了使用一些连接和聚合查询之外,使用 Slick 非常直接。
在定义我的表和映射案例 classes 时,我可以采用一些最佳实践吗?我目前有一个 class 包含所有查询、Table 定义和查询数据库时映射到的案例 classes。这个 class 处理了 10 到 15 个表,文件变得相当大。
我现在想知道是否应该将它分成不同的包以便于阅读。大家怎么看?
您可以将灵活的映射 table 与灵活的查询分开。将光滑映射 table 放入特征中。在你想写查询的地方混合这个特征并加入 table。例如:
package com.knol.db.repo
import com.knol.db.connection.DBComponent
import scala.concurrent.Future
trait BankRepository extends BankTable { this: DBComponent =>
import driver.api._
def create(bank: Bank): Future[Int] = db.run { bankTableAutoInc += bank }
def update(bank: Bank): Future[Int] = db.run { bankTableQuery.filter(_.id === bank.id.get).update(bank) }
def getById(id: Int): Future[Option[Bank]] = db.run { bankTableQuery.filter(_.id === id).result.headOption }
def getAll(): Future[List[Bank]] = db.run { bankTableQuery.to[List].result }
def delete(id: Int): Future[Int] = db.run { bankTableQuery.filter(_.id === id).delete }
}
private[repo] trait BankTable { this: DBComponent =>
import driver.api._
private[BankTable] class BankTable(tag: Tag) extends Table[Bank](tag,"bank") {
val id = column[Int]("id", O.PrimaryKey, O.AutoInc)
val name = column[String]("name")
def * = (name, id.?) <> (Bank.tupled, Bank.unapply)
}
protected val bankTableQuery = TableQuery[BankTable]
protected def bankTableAutoInc = bankTableQuery returning bankTableQuery.map(_.id)
}
case class Bank(name: String, id: Option[Int] = None)
加入两个table:
package com.knol.db.repo
import com.knol.db.connection.DBComponent
import scala.concurrent.Future
trait BankInfoRepository extends BankInfoTable { this: DBComponent =>
import driver.api._
def create(bankInfo: BankInfo): Future[Int] = db.run { bankTableInfoAutoInc += bankInfo }
def update(bankInfo: BankInfo): Future[Int] = db.run { bankInfoTableQuery.filter(_.id === bankInfo.id.get).update(bankInfo) }
def getById(id: Int): Future[Option[BankInfo]] = db.run { bankInfoTableQuery.filter(_.id === id).result.headOption }
def getAll(): Future[List[BankInfo]] = db.run { bankInfoTableQuery.to[List].result }
def delete(id: Int): Future[Int] = db.run { bankInfoTableQuery.filter(_.id === id).delete }
def getBankWithInfo(): Future[List[(Bank, BankInfo)]] =
db.run {
(for {
info <- bankInfoTableQuery
bank <- info.bank
} yield (bank, info)).to[List].result
}
def getAllBankWithInfo(): Future[List[(Bank, Option[BankInfo])]] =
db.run {
bankTableQuery.joinLeft(bankInfoTableQuery).on(_.id === _.bankId).to[List].result
}
}
private[repo] trait BankInfoTable extends BankTable { this: DBComponent =>
import driver.api._
private[BankInfoTable] class BankInfoTable(tag: Tag) extends Table[BankInfo](tag,"bankinfo") {
val id = column[Int]("id", O.PrimaryKey, O.AutoInc)
val owner = column[String]("owner")
val bankId = column[Int]("bank_id")
val branches = column[Int]("branches")
def bank = foreignKey("bank_product_fk", bankId, bankTableQuery)(_.id)
def * = (owner, branches, bankId, id.?) <> (BankInfo.tupled, BankInfo.unapply)
}
protected val bankInfoTableQuery = TableQuery[BankInfoTable]
protected def bankTableInfoAutoInc = bankInfoTableQuery returning bankInfoTableQuery.map(_.id)
}
case class BankInfo(owner: String, branches: Int, bankId: Int, id: Option[Int] = None)