Github user kiszk commented on a diff in the pull request:
https://github.com/apache/spark/pull/18153#discussion_r119527989
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/arithmetic.scala
---
@@ -97,20 +97,30 @@ case class UnaryPositive(child: Expression)
case class Abs(child: Expression)
extends UnaryExpression with ExpectsInputTypes with NullIntolerant {
- override def inputTypes: Seq[AbstractDataType] = Seq(NumericType)
+ override def inputTypes: Seq[AbstractDataType] =
Seq(TypeCollection(NumericType, StringType))
- override def dataType: DataType = child.dataType
+ override def dataType: DataType = child.dataType match {
+ case dt: NumericType => dt
+ case dt: StringType => DoubleType
+ }
private lazy val numeric = TypeUtils.getNumeric(dataType)
- override def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode =
dataType match {
+ override def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode =
child.dataType match {
case dt: DecimalType =>
defineCodeGen(ctx, ev, c => s"$c.abs()")
case dt: NumericType =>
defineCodeGen(ctx, ev, c =>
s"(${ctx.javaType(dt)})(java.lang.Math.abs($c))")
+ case dt: StringType =>
+ defineCodeGen(ctx, ev, c =>
s"java.lang.Math.abs(Double.valueOf($c.toString()))")
--- End diff --
I would like to hear @gatorsmile 's opinion. Which specification should
Spark support?
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