Github user ueshin commented on a diff in the pull request:
https://github.com/apache/spark/pull/22031#discussion_r208444793
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/higherOrderFunctions.scala
---
@@ -442,3 +442,91 @@ case class ArrayAggregate(
override def prettyName: String = "aggregate"
}
+
+// scalastyle:off line.size.limit
+@ExpressionDescription(
+ usage = "_FUNC_(left, right, func) - Merges the two given arrays,
element-wise, into a single array using function. If one array is shorter,
nulls are appended at the end to match the length of the longer array, before
applying function.",
+ examples = """
+ Examples:
+ > SELECT _FUNC_(array(1, 2, 3), array('a', 'b', 'c'), (x, y) -> (y,
x));
+ array(('a', 1), ('b', 3), ('c', 5))
+ > SELECT _FUNC_(array(1, 2), array(3, 4), (x, y) -> x + y));
+ array(4, 6)
+ > SELECT _FUNC_(array('a', 'b', 'c'), array('d', 'e', 'f'), (x, y)
-> concat(x, y));
+ array('ad', 'be', 'cf')
+ """,
+ since = "2.4.0")
+// scalastyle:on line.size.limit
+case class ArraysZipWith(
+ left: Expression,
+ right: Expression,
+ function: Expression)
+ extends HigherOrderFunction with CodegenFallback with ExpectsInputTypes {
+
+ override def inputs: Seq[Expression] = List(left, right)
+
+ override def functions: Seq[Expression] = List(function)
+
+ def expectingFunctionType: AbstractDataType = AnyDataType
--- End diff --
We don't need to define this?
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