好吧，经过大量研究和审查相互冲突的文档后，我找到了答案。不幸的是，这不是我要找的：
对于返回完整表或存储的数据库函数
程序请使用纯 SQL 查询。返回的存储过程
目前不支持多个结果集。
最重要的是，Slick 不支持开箱即用的存储函数或过程，因此我们必须编写自己的函数或过程。
答案是通过抓取会话对象来退出 Slick，然后使用标准 JDBC 来管理过程调用。对于那些熟悉 JDBC 的人来说，这可不是什么令人高兴的事情……但是，幸运的是，使用 Scala，我们可以通过模式匹配来实现一些非常好的技巧，从而使工作变得更加轻松。
对我来说，第一步是整合一个干净的外部 API。这就是它最终的样子：
val db = Database.forDataSource(DB.getDataSource)
var response: Option[GPInviteResponse] = None
db.withSession {
implicit session => {
val parameters = GPProcedureParameterSet(
GPOut(Types.INTEGER) ::
GPIn(Option(i.token), Types.VARCHAR) ::
GPIn(recipientAccountId, Types.INTEGER) ::
GPIn(Option(contactType), Types.INTEGER) ::
GPIn(contactValue, Types.VARCHAR) ::
GPIn(None, Types.INTEGER) ::
GPIn(Option(requestType), Types.CHAR) ::
GPOut(Types.INTEGER) ::
Nil
)
val result = execute(session.conn, GPProcedure.SendInvitation, parameters)
val rc = result.head.asInstanceOf[Int]
Logger(s"FUNC return code: $rc")
response = rc match {
case 0 => Option(GPInviteResponse(true, None, None))
case _ => Option(GPInviteResponse(false, None, Option(GPError.errorForCode(rc))))
}
}
}
db.close()
这是一个快速演练：我创建了一个简单的容器来模拟存储过程调用。 GPProcedureParameterSet 可以包含 GPIn、GPOut 或 GPInOut 实例的列表。其中每一个都将一个值映射到 JDBC 类型。容器看起来像这样：
case class GPOut(parameterType: Int) extends GPProcedureParameter
object GPOut
case class GPIn(value: Option[Any], parameterType: Int) extends GPProcedureParameter
object GPIn
case class GPInOut(value: Option[Any], parameterType: Int) extends GPProcedureParameter
object GPInOut
case class GPProcedureParameterSet(parameters: List[GPProcedureParameter])
object GPProcedureParameterSet
object GPProcedure extends Enumeration {
type GPProcedure = Value
val SendInvitation = Value("{?=call app_glimpulse_invitation_pkg.n_send_invitation(?, ?, ?, ?, ?, ?, ?)}")
}
为了完整起见，我包含了 GPProcedure 枚举，以便您可以将它们放在一起。
所有这一切都交给我execute()功能。它又大又脏，闻起来像老式的 JDBC，而且我确信我会大大改进 Scala。我昨晚凌晨 3 点就完成了这个……但是它确实有效，而且效果非常好。请注意，这个特定的execute()函数返回一个List包含所有 OUT 参数...我必须编写一个单独的executeQuery()函数来处理返回一个的过程resultSet。 （不过区别是微不足道的：你只需编写一个循环来获取resultSet.next并将其全部放入List或您想要的任何其他结构）。
这是令人讨厌的 Scala JDBC 映射execute()功能：
def execute(connection: Connection, procedure: GPProcedure, ps: GPProcedureParameterSet) = {
val cs = connection.prepareCall(procedure.toString)
var index = 0
for (parameter <- ps.parameters) {
index = index + 1
parameter match {
// Handle any IN (or INOUT) types: If the optional value is None, set it to NULL, otherwise, map it according to
// the actual object value and type encoding:
case p: GPOut => cs.registerOutParameter(index, p.parameterType)
case GPIn(None, t) => cs.setNull(index, t)
case GPIn(v: Some[_], Types.NUMERIC | Types.DECIMAL) => cs.setBigDecimal(index, v.get.asInstanceOf[java.math.BigDecimal])
case GPIn(v: Some[_], Types.BIGINT) => cs.setLong(index, v.get.asInstanceOf[Long])
case GPIn(v: Some[_], Types.INTEGER) => cs.setInt(index, v.get.asInstanceOf[Int])
case GPIn(v: Some[_], Types.VARCHAR | Types.LONGVARCHAR) => cs.setString(index, v.get.asInstanceOf[String])
case GPIn(v: Some[_], Types.CHAR) => cs.setString(index, v.get.asInstanceOf[String].head.toString)
case GPInOut(None, t) => cs.setNull(index, t)
// Now handle all of the OUT (or INOUT) parameters, these we just need to set the return value type:
case GPInOut(v: Some[_], Types.NUMERIC) => {
cs.setBigDecimal(index, v.get.asInstanceOf[java.math.BigDecimal]); cs.registerOutParameter(index, Types.NUMERIC)
}
case GPInOut(v: Some[_], Types.DECIMAL) => {
cs.setBigDecimal(index, v.get.asInstanceOf[java.math.BigDecimal]); cs.registerOutParameter(index, Types.DECIMAL)
}
case GPInOut(v: Some[_], Types.BIGINT) => {
cs.setLong(index, v.get.asInstanceOf[Long]); cs.registerOutParameter(index, Types.BIGINT)
}
case GPInOut(v: Some[_], Types.INTEGER) => {
cs.setInt(index, v.get.asInstanceOf[Int]); cs.registerOutParameter(index, Types.INTEGER)
}
case GPInOut(v: Some[_], Types.VARCHAR) => {
cs.setString(index, v.get.asInstanceOf[String]); cs.registerOutParameter(index, Types.VARCHAR)
}
case GPInOut(v: Some[_], Types.LONGVARCHAR) => {
cs.setString(index, v.get.asInstanceOf[String]); cs.registerOutParameter(index, Types.LONGVARCHAR)
}
case GPInOut(v: Some[_], Types.CHAR) => {
cs.setString(index, v.get.asInstanceOf[String].head.toString); cs.registerOutParameter(index, Types.CHAR)
}
case _ => { Logger(s"Failed to match GPProcedureParameter in executeFunction (IN): index $index (${parameter.toString})") }
}
}
cs.execute()
// Now, step through each of the parameters, and get the corresponding result from the execute statement. If there is
// no result for the specified column (index), we'll basically end up getting a "nothing" back, which we strip out.
index = 0
val results: List[Any] = for (parameter <- ps.parameters) yield {
index = index + 1
parameter match {
case GPOut(Types.NUMERIC) | GPOut(Types.DECIMAL) => cs.getBigDecimal(index)
case GPOut(Types.BIGINT) => cs.getLong(index)
case GPOut(Types.INTEGER) => cs.getInt(index)
case GPOut(Types.VARCHAR | Types.LONGVARCHAR | Types.CHAR) => cs.getString(index)
case GPInOut(v: Some[_], Types.NUMERIC | Types.DECIMAL) => cs.getInt(index)
case GPInOut(v: Some[_], Types.BIGINT) => cs.getLong(index)
case GPInOut(v: Some[_], Types.INTEGER) => cs.getInt(index)
case GPInOut(v: Some[_], Types.VARCHAR | Types.LONGVARCHAR | Types.CHAR) => cs.getString(index)
case _ => {
Logger(s"Failed to match GPProcedureParameter in executeFunction (OUT): index $index (${parameter.toString})")
}
}
}
cs.close()
// Return the function return parameters (there should always be one, the caller will get a List with as many return
// parameters as we receive):
results.filter(_ != (()))
}
