Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/18113#discussion_r118817938
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/typedaggregators.scala
---
@@ -99,3 +97,67 @@ class TypedAverage[IN](val f: IN => Double) extends
Aggregator[IN, (Double, Long
toColumn.asInstanceOf[TypedColumn[IN, java.lang.Double]]
}
}
+
+class TypedMinDouble[IN](val f: IN => Double) extends Aggregator[IN,
Double, Double] {
+ override def zero: Double = Double.PositiveInfinity
--- End diff --
When applying on empty dataset, will we get `Double.PositiveInfinity`?
Seems it doesn't match `aggregate.Min`.
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