Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/18113#discussion_r118856080
--- 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 --
I've tried it and it works.
You can't just do `min(b1, b2)` in `merge`. Because `b1` and `b2` can be
null. When `b1` is null, just output `b2`, and vice versa. We only call `min`
on them when they are both not null.
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