Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/6721#discussion_r32074111
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/math.scala
---
@@ -17,24 +17,35 @@
package org.apache.spark.sql.catalyst.expressions
+import java.lang.{Long => JLong}
+
import org.apache.spark.sql.catalyst.expressions.codegen._
-import org.apache.spark.sql.types.{DataType, DoubleType}
+import org.apache.spark.sql.types.{DataType, DoubleType, LongType,
StringType, UTF8String}
/**
* A unary expression specifically for math functions. Math Functions
expect a specific type of
* input format, therefore these functions extend `ExpectsInputTypes`.
* @param name The short name of the function
*/
-abstract class UnaryMathExpression(f: Double => Double, name: String)
+abstract class AbstractUnaryMathExpression[T, U](name: String)
extends UnaryExpression with Serializable with ExpectsInputTypes {
self: Product =>
- override def expectedChildTypes: Seq[DataType] = Seq(DoubleType)
- override def dataType: DataType = DoubleType
override def foldable: Boolean = child.foldable
override def nullable: Boolean = true
override def toString: String = s"$name($child)"
+ // name of function in java.lang.Math
+ def funcName: String = name.toLowerCase
+}
+
+abstract class UnaryMathExpression(f: Double => Double, name: String)
--- End diff --
```
/**
* Base for [[AbstractUnaryMathExpression]] that accepts a Double and
returns a Double.
*/
```
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