beliefer commented on a change in pull request #29604:
URL: https://github.com/apache/spark/pull/29604#discussion_r489187346
##########
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/windowExpressions.scala
##########
@@ -549,6 +549,96 @@ case class CumeDist() extends RowNumberLike with
SizeBasedWindowFunction {
override def prettyName: String = "cume_dist"
}
+/**
+ * The NthValue function returns the value of `input` at the `offset`th row
from beginning of the
+ * window frame. Offset starts at 1. When the value of `input` is null at the
`offset`th row or
+ * there is no such an `offset`th row, null is returned.
+ */
+@ExpressionDescription(
+ usage = """
+ _FUNC_(input[, offset]) - Returns the value of `input` at the row that is
the `offset`th row
+ from beginning of the window frame. Offsets start at 1. If the value of
`input` at the
+ `offset`th row is null, null is returned. If there is no such an offset
row (e.g., when the
+ offset is 10, size of the window frame less than 10), null is returned.
+ """,
+ arguments = """
+ Arguments:
+ * input - the target column or expression that the function operates on.
+ * offset - an int expression which determines the row number relative to
the first row in
+ the window for which to return the expression. The offset can be a
constant or an
+ expression and must be a positive integer that is greater than 0.
+ * ignoreNulls - an optional specification that indicates the NthValue
should skip null
+ values in the determination of which row to use.
+ """,
+ since = "3.1.0",
+ group = "window_funcs")
+case class NthValue(input: Expression, offsetExpr: Expression, ignoreNulls:
Boolean)
+ extends AggregateWindowFunction with ImplicitCastInputTypes {
+
+ def this(child: Expression, offset: Expression) = this(child, offset, false)
+
+ override def children: Seq[Expression] = input :: Nil
+
+ override def frame: WindowFrame = UnspecifiedFrame
+
+ override def dataType: DataType = input.dataType
+
+ override def inputTypes: Seq[AbstractDataType] = Seq(AnyDataType,
IntegerType, BooleanType)
+
+ override def checkInputDataTypes(): TypeCheckResult = {
+ val check = super.checkInputDataTypes()
+ if (check.isFailure) {
+ check
+ } else if (!offsetExpr.foldable) {
+ TypeCheckFailure(s"Offset expression '$offsetExpr' must be a literal.")
+ } else {
+ offsetExpr.dataType match {
+ case IntegerType | ShortType | ByteType =>
+ offsetExpr.eval().asInstanceOf[Int] match {
+ case i: Int if i <= 0 => TypeCheckFailure(
+ s"The 'offset' argument of nth_value must be greater than zero
but it is $i.")
+ case _ => TypeCheckSuccess
+ }
+ case _ => TypeCheckFailure(
+ s"The 'offset' parameter must be a int literal but it is
${offsetExpr.dataType}.")
+ }
+ }
+ }
+
+ private lazy val offset = offsetExpr.eval().asInstanceOf[Int].toLong
+ private lazy val result = AttributeReference("result", input.dataType)()
+ private lazy val count = AttributeReference("count", LongType)()
+ private lazy val valueSet = AttributeReference("valueSet", BooleanType)()
+ override lazy val aggBufferAttributes: Seq[AttributeReference] =
+ result :: count :: valueSet :: Nil
+
+ override lazy val initialValues: Seq[Literal] = Seq(
+ /* result = */ Literal.create(null, input.dataType),
+ /* count = */ Literal(1L),
+ /* valueSet = */ Literal.create(false, BooleanType)
Review comment:
OK
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