sathiyapk commented on a change in pull request #34729:
URL: https://github.com/apache/spark/pull/34729#discussion_r760536604
##########
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/mathExpressions.scala
##########
@@ -243,40 +243,26 @@ case class Cbrt(child: Expression) extends
UnaryMathExpression(math.cbrt, "CBRT"
examples = """
Examples:
> SELECT _FUNC_(-0.1);
- 0
+ 0.0
> SELECT _FUNC_(5);
Review comment:
@cloud-fan @gengliangwang For the Float and Double type during
ROUND_CEILING and ROUND_FLOOR with scale 0, shall we cast the output type to
Long ? This will preserve the default behavior of `floor`/`ceil`. Please let me
know your opinion.
something like this :
```
def castOutputToLong: Boolean = Seq(ROUND_CEILING,
ROUND_FLOOR).contains(mode) && _scale == 0
...
def nullSafeEval(input1: Any): Any = {
dataType match {
...
case FloatType =>
val f = input1.asInstanceOf[Float]
val output: BigDecimal = if (f.isNaN || f.isInfinite) {
f
} else {
BigDecimal(f.toDouble).setScale(_scale, mode)
}
if(castOutputToLong) output.toLong else output.toFloat
case DoubleType =>
val d = input1.asInstanceOf[Double]
val output: BigDecimal = if (d.isNaN || d.isInfinite) {
d
} else {
BigDecimal(d).setScale(_scale, mode)
}
if(castOutputToLong) output.toLong else output.toDouble
}
}
```
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