Zawa-ll commented on code in PR #47246:
URL: https://github.com/apache/spark/pull/47246#discussion_r1669382233
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/predicates.scala:
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@@ -998,10 +998,27 @@ abstract class BinaryComparison extends BinaryOperator
with Predicate {
}
}
- protected lazy val ordering: Ordering[Any] =
TypeUtils.getInterpretedOrdering(left.dataType)
+ protected lazy val ordering: Ordering[Any] = new Ordering[Any] {
Review Comment:
Thank you for your suggestion!
I think your solution is more robust as it utilizes compareTo for string
comparisons and falls back to TypeUtils.getInterpretedOrdering for other types.
The logic I was about to commit is as below, but I wasn't sure which way
would be better
@Masykus Can you please take a look? Thank you!
```suggestion
override def compare(x: Any, y: Any): Int = {
(x, y) match {
case (xs: String, yi: Int) => xs.compare(yi.toString)
case (xi: Int, ys: String) => xi.toString.compare(ys)
case _ => super.compare(x, y)
}
}
```
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