org.apache.spark.sql.execution.local.TakeOrderedAndProjectNode.scala Maven / Gradle / Ivy
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*
* http://www.apache.org/licenses/LICENSE-2.0
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package org.apache.spark.sql.execution.local
import org.apache.spark.sql.SQLConf
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.util.BoundedPriorityQueue
case class TakeOrderedAndProjectNode(
conf: SQLConf,
limit: Int,
sortOrder: Seq[SortOrder],
projectList: Option[Seq[NamedExpression]],
child: LocalNode) extends UnaryLocalNode(conf) {
private[this] var projection: Option[Projection] = _
private[this] var ord: InterpretedOrdering = _
private[this] var iterator: Iterator[InternalRow] = _
private[this] var currentRow: InternalRow = _
override def output: Seq[Attribute] = {
val projectOutput = projectList.map(_.map(_.toAttribute))
projectOutput.getOrElse(child.output)
}
override def open(): Unit = {
child.open()
projection = projectList.map(new InterpretedProjection(_, child.output))
ord = new InterpretedOrdering(sortOrder, child.output)
// Priority keeps the largest elements, so let's reverse the ordering.
val queue = new BoundedPriorityQueue[InternalRow](limit)(ord.reverse)
while (child.next()) {
queue += child.fetch()
}
// Close it eagerly since we don't need it.
child.close()
iterator = queue.toArray.sorted(ord).iterator
}
override def next(): Boolean = {
if (iterator.hasNext) {
val _currentRow = iterator.next()
currentRow = projection match {
case Some(p) => p(_currentRow)
case None => _currentRow
}
true
} else {
false
}
}
override def fetch(): InternalRow = currentRow
override def close(): Unit = child.close()
}
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