hvanhovell commented on a change in pull request #27440: [SPARK-27951][SQL]
Support ANSI SQL NTH_VALUE window function
URL: https://github.com/apache/spark/pull/27440#discussion_r376786642
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/window/WindowFunctionFrame.scala
##########
@@ -157,6 +157,38 @@ final class OffsetWindowFunctionFrame(
override def currentUpperBound(): Int = throw new
UnsupportedOperationException()
}
+class FixedOffsetWindowFunctionFrame(
+ target: InternalRow,
+ ordinal: Int,
+ expressions: Array[OffsetWindowFunction],
+ inputSchema: Seq[Attribute],
+ newMutableProjection: (Seq[Expression], Seq[Attribute]) =>
MutableProjection,
+ offset: Int)
+ extends OffsetWindowFunctionFrame(
+ target, ordinal, expressions, inputSchema, newMutableProjection, offset) {
+
+ override def prepare(rows: ExternalAppendOnlyUnsafeRowArray): Unit = {
+ input = rows
+ inputIndex = 0
+ }
+
+ override def write(index: Int, current: InternalRow): Unit = {
Review comment:
NTH_VALUE should return the same value for all rows in the window partition
right? So why are you doing so much heavy lifting here? Everything can be
computed in prepare.
If you think about it, then this could also be treated as an unbounded
window frame. You could even move this into the `UnboundedWindowFunctionFrame`
if you add the update logic to the NTH_VALUE aggregate.
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