是否有一个如何使用Sclick的Slick 2.0.1库连接到MySQL数据库的示例？我用Googling找不到最新的例子......
最近，我一直在考虑将我用PHP开发的Web应用程序的代码移植到Scala中。我一直在寻找一种编程语言，它具有（i）具有大量用户的Web应用程序框架，（ii）提供编译时错误检查，（iii）不错的测试工具等等...使用Scala和Play框架开发Web应用程序的一些案例研究（例如 huffpost和cousera），它开始看起来很吸引我，我决定试一试。
由于上一个项目的所有数据都驻留在MySQL数据库中，我正在研究Scala为我的程序连接到MySQL提供的内容。我遇到了Slick。我遵循了Typesafe Activator中的Hello-Slick example，它指导我如何使用内存数据库（即 h2），我喜欢它的语法和抽象级别。现在，我想使用Slick和MySQL。我尝试更改导入语句
import scala.slick.driver.H2Driver.simple._
到
import scala.slick.driver.MySQLDriver.simple._
HelloSlick.scala和Tables.scala中的（请参阅下面代码的完整副本）。但是，我在编译时收到以下错误消息：
/Users/kotaro/Documents/Scala/hello-slick/src/test/scala/TablesSuite.scala
值ddl不是scala.slick.lifted.TableQuery [供应商]的成员
def createSchema（）=（suppliers.ddl ++ coffees.ddl）.create
^
有谁知道造成这种情况的原因是什么？根据这篇文章（slick exception when trying to connect to MySql），我可能会遗漏添加一些依赖项，虽然我得到的错误消息是不同的。如果有一个很好的例子可以让我掌握如何使用Slick和MySQL，这也会有很大的帮助。
我在XAMPP 1.7.3中使用Scala 2.10.3，MySQL，OS X 10.8和JRE 1.6。
非常感谢您的帮助！
以下是代码的完整副本。
HelloSlick.scala
import scala.slick.driver.MySQLDriver.simple._
//import scala.slick.driver.H2Driver.simple._
// The main application
object HelloSlick extends App {
// The query interface for the Suppliers table
val suppliers: TableQuery[Suppliers] = TableQuery[Suppliers]
// the query interface for the Coffees table
val coffees: TableQuery[Coffees] = TableQuery[Coffees]
// Create a connection (called a "session") to an in-memory H2 database
Database.forURL("jdbc:mysql://localhost:3306/test", driver="com.mysql.jdbc.Driver", user="root", password="").withSession { implicit session =>
// Create the schema by combining the DDLs for the Suppliers and Coffees tables using the query interfaces
(suppliers.ddl ++ coffees.ddl).create
/* Create / Insert */
// Insert some suppliers
suppliers += (101, "Acme, Inc.", "99 Market Street", "Groundsville", "CA", "95199")
suppliers += (49, "Superior Coffee", "1 Party Place", "Mendocino", "CA", "95460")
suppliers += (150, "The High Ground", "100 Coffee Lane", "Meadows", "CA", "93966")
// Insert some coffees (using JDBC's batch insert feature)
val coffeesInsertResult: Option[Int] = coffees ++= Seq (
("Colombian", 101, 7.99, 0, 0),
("French_Roast", 49, 8.99, 0, 0),
("Espresso", 150, 9.99, 0, 0),
("Colombian_Decaf", 101, 8.99, 0, 0),
("French_Roast_Decaf", 49, 9.99, 0, 0)
)
val allSuppliers: List[(Int, String, String, String, String, String)] = suppliers.list
// Print the number of rows inserted
coffeesInsertResult foreach (numRows => println(s"Inserted $numRows rows into the Coffees table"))
/* Read / Query / Select */
// Print the SQL for the Coffees query
println("Generated SQL for base Coffees query:\n" + coffees.selectStatement)
// Query the Coffees table using a foreach and print each row
coffees foreach { case (name, supID, price, sales, total) =>
println(" " + name + "\t" + supID + "\t" + price + "\t" + sales + "\t" + total)
}
/* Filtering / Where */
// Construct a query where the price of Coffees is > 9.0
val filterQuery: Query[Coffees, (String, Int, Double, Int, Int)] = coffees.filter(_.price > 9.0)
println("Generated SQL for filter query:\n" + filterQuery.selectStatement)
// Execute the query
println(filterQuery.list)
/* Update */
// Construct an update query with the sales column being the one to update
val updateQuery: Query[Column[Int], Int] = coffees.map(_.sales)
// Print the SQL for the Coffees update query
println("Generated SQL for Coffees update:\n" + updateQuery.updateStatement)
// Perform the update
val numUpdatedRows = updateQuery.update(1)
println(s"Updated $numUpdatedRows rows")
/* Delete */
// Construct a delete query that deletes coffees with a price less than 8.0
val deleteQuery: Query[Coffees,(String, Int, Double, Int, Int)] = coffees.filter(_.price < 8.0)
// Print the SQL for the Coffees delete query
println("Generated SQL for Coffees delete:\n" + deleteQuery.deleteStatement)
// Perform the delete
val numDeletedRows = deleteQuery.delete
println(s"Deleted $numDeletedRows rows")
/* Selecting Specific Columns */
// Construct a new coffees query that just selects the name
val justNameQuery: Query[Column[String], String] = coffees.map(_.name)
println("Generated SQL for query returning just the name:\n" + justNameQuery.selectStatement)
// Execute the query
println(justNameQuery.list)
/* Sorting / Order By */
val sortByPriceQuery: Query[Coffees, (String, Int, Double, Int, Int)] = coffees.sortBy(_.price)
println("Generated SQL for query sorted by price:\n" + sortByPriceQuery.selectStatement)
// Execute the query
println(sortByPriceQuery.list)
/* Query Composition */
val composedQuery: Query[Column[String], String] = coffees.sortBy(_.name).take(3).filter(_.price > 9.0).map(_.name)
println("Generated SQL for composed query:\n" + composedQuery.selectStatement)
// Execute the composed query
println(composedQuery.list)
/* Joins */
// Join the tables using the relationship defined in the Coffees table
val joinQuery: Query[(Column[String], Column[String]), (String, String)] = for {
c <- coffees if c.price > 9.0
s <- c.supplier
} yield (c.name, s.name)
println("Generated SQL for the join query:\n" + joinQuery.selectStatement)
// Print the rows which contain the coffee name and the supplier name
println(joinQuery.list)
/* Computed Values */
// Create a new computed column that calculates the max price
val maxPriceColumn: Column[Option[Double]] = coffees.map(_.price).max
println("Generated SQL for max price column:\n" + maxPriceColumn.selectStatement)
// Execute the computed value query
println(maxPriceColumn.run)
/* Manual SQL / String Interpolation */
// Required import for the sql interpolator
import scala.slick.jdbc.StaticQuery.interpolation
// A value to insert into the statement
val state = "CA"
// Construct a SQL statement manually with an interpolated value
val plainQuery = sql"select SUP_NAME from SUPPLIERS where STATE = $state".as[String]
println("Generated SQL for plain query:\n" + plainQuery.getStatement)
// Execute the query
println(plainQuery.list)
}
}
Tables.scala
import scala.slick.driver.MySQLDriver.simple._
import scala.slick.lifted.{ProvenShape, ForeignKeyQuery}
// A Suppliers table with 6 columns: id, name, street, city, state, zip
class Suppliers(tag: Tag) extends Table[(Int, String, String, String, String, String)](tag, "SUPPLIERS") {
def id: Column[Int] = column[Int]("SUP_ID", O.PrimaryKey) // This is the primary key column
def name: Column[String] = column[String]("SUP_NAME")
def street: Column[String] = column[String]("STREET")
def city: Column[String] = column[String]("CITY")
def state: Column[String] = column[String]("STATE")
def zip: Column[String] = column[String]("ZIP")
// Every table needs a * projection with the same type as the table's type parameter
def * : ProvenShape[(Int, String, String, String, String, String)] = (id, name, street, city, state, zip)
}
// A Coffees table with 5 columns: name, supplier id, price, sales, total
class Coffees(tag: Tag) extends Table[(String, Int, Double, Int, Int)](tag, "COFFEES") {
def name: Column[String] = column[String]("COF_NAME", O.PrimaryKey)
def supID: Column[Int] = column[Int]("SUP_ID")
def price: Column[Double] = column[Double]("PRICE")
def sales: Column[Int] = column[Int]("SALES")
def total: Column[Int] = column[Int]("TOTAL")
def * : ProvenShape[(String, Int, Double, Int, Int)] = (name, supID, price, sales, total)
// A reified foreign key relation that can be navigated to create a join
def supplier: ForeignKeyQuery[Suppliers, (Int, String, String, String, String, String)] =
foreignKey("SUP_FK", supID, TableQuery[Suppliers])(_.id)
}
答案 0 :(得分：7)
您可能忽略了错误消息引用了“TableSuite.scala``
/Users/kotaro/Documents/Scala/hello-slick/src/test/scala/TablesSuite.scala
value ddl is not a member of scala.slick.lifted.TableQuery[Suppliers]
def createSchema() = (suppliers.ddl ++ coffees.ddl).create
您还需要在那里更改导入。