Github user kiszk commented on a diff in the pull request:
https://github.com/apache/spark/pull/17172#discussion_r105103962
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/objects.scala ---
@@ -219,7 +219,33 @@ case class MapElementsExec(
override def doConsume(ctx: CodegenContext, input: Seq[ExprCode], row:
ExprCode): String = {
val (funcClass, methodName) = func match {
case m: MapFunction[_, _] => classOf[MapFunction[_, _]] -> "call"
- case _ => classOf[Any => Any] -> "apply"
+ case _ => (child.output(0).dataType, outputObjAttr.dataType) match {
+ // if a pair of an argument and return types is one of specific
types
+ // whose specialized method (apply$mc..$sp) is generated by scalac,
+ // Catalyst generated a direct method call to the specialized
method.
+ // The followings are references for this specialization:
+ //
https://github.com/scala/scala/blob/2.11.x/src/compiler/scala/tools/nsc/transform/
+ // SpecializeTypes.scala
+ //
http://www.cakesolutions.net/teamblogs/scala-dissection-functions
+ // http://axel22.github.io/2013/11/03/specialization-quirks.html
+ case (IntegerType, IntegerType) => classOf[Int => Int] ->
"apply$mcII$sp"
+ case (IntegerType, LongType) => classOf[Int => Long] ->
"apply$mcJI$sp"
--- End diff --
Yes, I found a composable way.
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