Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/18113#discussion_r118800681
--- 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
+ override def reduce(b: Double, a: IN): Double = if (b < f(a)) b else f(a)
+ override def merge(b1: Double, b2: Double): Double = if (b1 < b2) b1
else b2
+ override def finish(reduction: Double): Double = reduction
+
+ override def bufferEncoder: Encoder[Double] = ExpressionEncoder[Double]()
+ override def outputEncoder: Encoder[Double] = ExpressionEncoder[Double]()
+
+ // Java api support
+ def this(f: MapFunction[IN, java.lang.Double]) = this(x =>
f.call(x).asInstanceOf[Double])
+ def toColumnJava: TypedColumn[IN, java.lang.Double] = {
+ toColumn.asInstanceOf[TypedColumn[IN, java.lang.Double]]
+ }
+}
+
+class TypedMaxDouble[IN](val f: IN => Double) extends Aggregator[IN,
Double, Double] {
+ override def zero: Double = Double.NegativeInfinity
+ override def reduce(b: Double, a: IN): Double = if (b > f(a)) b else f(a)
+ override def merge(b1: Double, b2: Double): Double = if (b1 > b2) b1
else b2
+ override def finish(reduction: Double): Double = reduction
+
+ override def bufferEncoder: Encoder[Double] = ExpressionEncoder[Double]()
+ override def outputEncoder: Encoder[Double] = ExpressionEncoder[Double]()
+
+ // Java api support
+ def this(f: MapFunction[IN, java.lang.Double]) = this(x =>
f.call(x).asInstanceOf[Double])
+ def toColumnJava: TypedColumn[IN, java.lang.Double] = {
+ toColumn.asInstanceOf[TypedColumn[IN, java.lang.Double]]
+ }
+}
+
+class TypedMinLong[IN](val f: IN => Long) extends Aggregator[IN, Long,
Long] {
+ override def zero: Long = Long.MaxValue
+ override def reduce(b: Long, a: IN): Long = if (b < f(a)) b else f(a)
+ override def merge(b1: Long, b2: Long): Long = if (b1 < b2) b1 else b2
+ override def finish(reduction: Long): Long = reduction
+
+ override def bufferEncoder: Encoder[Long] = ExpressionEncoder[Long]()
+ override def outputEncoder: Encoder[Long] = ExpressionEncoder[Long]()
+
+ // Java api support
+ def this(f: MapFunction[IN, java.lang.Long]) = this(x =>
f.call(x).asInstanceOf[Long])
+ def toColumnJava: TypedColumn[IN, java.lang.Long] = {
+ toColumn.asInstanceOf[TypedColumn[IN, java.lang.Long]]
+ }
+}
+
+class TypedMaxLong[IN](val f: IN => Long) extends Aggregator[IN, Long,
Long] {
+ override def zero: Long = Long.MinValue
+ override def reduce(b: Long, a: IN): Long = if (b > f(a)) b else f(a)
+ override def merge(b1: Long, b2: Long): Long = if (b1 > b2) b1 else b2
+ override def finish(reduction: Long): Long = reduction
+
+ override def bufferEncoder: Encoder[Long] = ExpressionEncoder[Long]()
+ override def outputEncoder: Encoder[Long] = ExpressionEncoder[Long]()
+
+ // Java api support
+ def this(f: MapFunction[IN, java.lang.Long]) = this(x =>
f.call(x).asInstanceOf[Long])
+ def toColumnJava: TypedColumn[IN, java.lang.Long] = {
+ toColumn.asInstanceOf[TypedColumn[IN, java.lang.Long]]
+ }
+}
--- End diff --
Add a new line here.
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