Github user JoshRosen commented on a diff in the pull request:
https://github.com/apache/spark/pull/7768#discussion_r35932289
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/nullFunctions.scala
---
@@ -210,14 +210,58 @@ case class IsNotNull(child: Expression) extends
UnaryExpression with Predicate {
}
}
+/**
+ * A predicate that is evaluated to be true if there are at least `n` null
values.
+ */
+case class AtLeastNNulls(n: Int, children: Seq[Expression]) extends
Predicate {
--- End diff --
Just to briefly clarify, I guess that the problem was that `AtLeastNNulls`
also dropped `NaNs` but that we can't do that since it would lead to a
violation of our NaN-equality semantics when joining on float/double columns?
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