henrydavidge commented on a change in pull request #25666: [SPARK-28962][SQL]
Provide index argument to filter lambda functions
URL: https://github.com/apache/spark/pull/25666#discussion_r330229395
##########
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/higherOrderFunctions.scala
##########
@@ -369,6 +383,9 @@ case class ArrayFilter(
var i = 0
while (i < arr.numElements) {
elementVar.value.set(arr.get(i, elementVar.dataType))
+ if (indexVar.isDefined) {
Review comment:
@maropu do you have a suggestion about how to do this without implementing
codegen? I tried rewriting the logic like so:
```scala
@transient private lazy val evalFn: (InternalRow, Any) => Any = indexVar
match {
case None => (inputRow, argumentValue) =>
val arr = argumentValue.asInstanceOf[ArrayData]
val f = functionForEval
val buffer = new mutable.ArrayBuffer[Any](arr.numElements)
var i = 0
while (i < arr.numElements) {
elementVar.value.set(arr.get(i, elementVar.dataType))
if (f.eval(inputRow).asInstanceOf[Boolean]) {
buffer += elementVar.value.get
}
i += 1
}
new GenericArrayData(buffer)
case Some(expr) => (inputRow, argumentValue) =>
val arr = argumentValue.asInstanceOf[ArrayData]
val f = functionForEval
val buffer = new mutable.ArrayBuffer[Any](arr.numElements)
var i = 0
while (i < arr.numElements) {
elementVar.value.set(arr.get(i, elementVar.dataType))
expr.value.set(i)
if (f.eval(inputRow).asInstanceOf[Boolean]) {
buffer += elementVar.value.get
}
i += 1
}
new GenericArrayData(buffer)
}
override def nullSafeEval(inputRow: InternalRow, argumentValue: Any): Any
= {
evalFn(inputRow, argumentValue)
}
```
But from some hacky microbenchmarking this doesn't seem to be meaningfully
faster and if anything is marginally slower.
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