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.circumflex-orm.2.0.1.source-code.projection.scala Maven / Gradle / Ivy
package ru.circumflex.orm
import java.sql.ResultSet
/*!# Projections
In relational algebra a _projection_ is a function which describes a subset of
columns returned from an SQL query. In Circumflex ORM instances of the `Projection`
trait are used to process `ResultSet` and determine the result type of SQL queries.
We distinguish between _atomic_ and _composite_ projections: the former ones
span across only one column of `ResultSet`, the latter ones contain a list of internal
projections and therefore span across multiple columns.
Like with relation nodes, special alias `this` is expanded into query-unique alias
to prevent collisions when aliases are not assigned explicitly.
Circumflex ORM supports querying arbitrary expressions which your database understands,
you only need to explicitly specify an expected type.
*/
trait Projection[T] extends SQLable {
def read(rs: ResultSet): Option[T]
def sqlAliases: Seq[String]
protected[orm] var alias: String = "this"
def AS(alias: String): this.type = {
this.alias = alias
return this
}
override def toString = toSql
}
trait AtomicProjection[T] extends Projection[T] {
def sqlAliases = List(alias)
}
trait CompositeProjection[T] extends Projection[T] {
def subProjections: Seq[Projection[_]]
def sqlAliases = subProjections.flatMap(_.sqlAliases)
override def equals(obj: Any) = obj match {
case p: CompositeProjection[_] =>
this.subProjections.toList == p.subProjections.toList
case _ => false
}
private var _hash = 0;
override def hashCode: Int = {
if (_hash == 0)
for (p <- subProjections)
_hash = 31 * _hash + p.hashCode
return _hash
}
def toSql = subProjections.map(_.toSql).mkString(", ")
}
class ExpressionProjection[T](val expression: String)
extends AtomicProjection[T] {
def toSql = dialect.alias(expression, alias)
def read(rs: ResultSet): Option[T] = {
val o = rs.getObject(alias)
if (rs.wasNull) None
else Some(o.asInstanceOf[T])
}
override def equals(obj: Any) = obj match {
case p: ExpressionProjection[_] =>
p.expression == this.expression
case _ => false
}
override def hashCode = expression.hashCode
}
class FieldProjection[T, R <: Record[_, R]](val node: RelationNode[_, R],
val field: Field[T, R])
extends AtomicProjection[T] {
def expr = dialect.qualifyColumn(field, node.alias)
def toSql = dialect.alias(expr, alias)
def read(rs: ResultSet) = field.read(rs, alias)
override def equals(obj: Any) = obj match {
case p: FieldProjection[_, _] =>
p.node == this.node && p.field.name == this.field.name
case _ => false
}
override def hashCode = node.hashCode * 31 + field.name.hashCode
}
class RecordProjection[PK, R <: Record[PK, R]](val node: RelationNode[PK, R])
extends CompositeProjection[R] {
protected val _fieldProjections: Seq[FieldProjection[_, R]] = node
.relation.fields.map(f => new FieldProjection(node, f))
def subProjections = _fieldProjections
protected def _readCell[T](rs: ResultSet, vh: ValueHolder[T, R]): Option[T] = vh match {
case f: Field[T, R] => _fieldProjections.find(_.field == f)
.flatMap(_.asInstanceOf[Projection[T]].read(rs))
case a: Association[T, R, _] => _readCell(rs, a.field)
case p: FieldComposition2[Any, Any, R] => (_readCell(rs, p._1), _readCell(rs, p._2)) match {
case (Some(v1), Some(v2)) => Some((v1, v2).asInstanceOf[T])
case _ => None
}
}
def read(rs: ResultSet): Option[R] = _readCell(rs, node.relation.PRIMARY_KEY).flatMap(id =>
contextCache.cacheRecord(id, node.relation, Some(readRecord(rs))))
protected def readRecord(rs: ResultSet): R = {
val record: R = node.relation.recordClass.newInstance
_fieldProjections.foreach { p =>
node.relation.getField(record, p.field.asInstanceOf[Field[Any, R]]).set(p.read(rs))
}
return record
}
override def equals(obj: Any) = obj match {
case p: RecordProjection[_, _] => this.node == p.node
case _ => false
}
override def hashCode = node.hashCode
}
class UntypedTupleProjection(val subProjections: Projection[_]*)
extends CompositeProjection[Array[Option[Any]]] {
def read(rs: ResultSet): Option[Array[Option[Any]]] = Some(subProjections.map(_.read(rs)).toArray)
}
class PairProjection[T1, T2] (_1: Projection[T1], _2: Projection[T2])
extends CompositeProjection[(Option[T1], Option[T2])] {
def subProjections = List[Projection[_]](_1, _2)
def read(rs: ResultSet): Option[(Option[T1], Option[T2])] =
Some((_1.read(rs), _2.read(rs)))
}
class AliasMapProjection(val subProjections: Seq[Projection[_]])
extends CompositeProjection[Map[String, Any]] {
def read(rs: ResultSet): Option[Map[String, Any]] = {
val pairs = subProjections.flatMap { p =>
p.read(rs).map(v => p.alias -> v).asInstanceOf[Option[(String, Any)]]
}
Some(Map[String, Any](pairs: _*))
}
}