Github user ueshin commented on a diff in the pull request:
https://github.com/apache/spark/pull/21028#discussion_r184266872
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala
---
@@ -288,6 +288,114 @@ case class ArrayContains(left: Expression, right:
Expression)
override def prettyName: String = "array_contains"
}
+/**
+ * Checks if the two arrays contain at least one common element.
+ */
+@ExpressionDescription(
+ usage = "_FUNC_(a1, a2) - Returns true if a1 contains at least an
element present also in a2.",
+ examples = """
+ Examples:
+ > SELECT _FUNC_(array(1, 2, 3), array(3, 4, 5));
+ true
+ """, since = "2.4.0")
+case class ArraysOverlap(left: Expression, right: Expression)
+ extends BinaryExpression with ImplicitCastInputTypes {
+
+ private lazy val elementType =
inputTypes.head.asInstanceOf[ArrayType].elementType
+
+ override def dataType: DataType = BooleanType
+
+ override def inputTypes: Seq[AbstractDataType] = left.dataType match {
--- End diff --
There are similar functions, such as `array_union`(#21061),
`array_intersect`(#21102), `array_except`(#21103), and maybe `concat`(#20858)
which is slightly different though, to handle two (or more) arrays with the
same element type.
I think we should use the same way to specify and check input types.
I'd like to discuss the best way for it here or somewhere else.
cc @kiszk @mn-mikke Do you have any suggestions?
Also cc @gatorsmile @cloud-fan
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