uros-b commented on code in PR #56810:
URL: https://github.com/apache/spark/pull/56810#discussion_r3481712835


##########
sql/api/src/main/scala/org/apache/spark/sql/types/UpCastRule.scala:
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@@ -36,10 +36,17 @@ private[sql] object UpCastRule {
     case (from: NumericType, to: DecimalType) if to.isWiderThan(from) => true
     case (from: DecimalType, to: NumericType) if from.isTighterThan(to) => true
     case (f, t) if legalNumericPrecedence(f, t) => true
-    case (DateType, TimestampType) => true
-    case (DateType, TimestampNTZType) => true
-    case (TimestampNTZType, TimestampType) => true
-    case (TimestampType, TimestampNTZType) => true
+    // Widening DATE -> timestamp family (micro or nanos, LTZ or NTZ) is 
lossless; the reverse
+    // (timestamp -> DATE) drops the time-of-day and is not matched here, so 
it stays a non-up-cast.
+    case (DateType, t) if TimestampFamily.fractionalPrecision(t).isDefined => 
true
+    // Lossless widening within the timestamp family: target fractional-second 
precision >= source.
+    // Covers micros <-> nanos and the cross-family LTZ <-> NTZ pairs 
(mirroring how the micro
+    // TimestampType <-> TimestampNTZType pair is a mutual up-cast). Equal 
precision is handled by
+    // the `from == to` short-circuit above; lossy narrowing falls through to 
`case _ => false`.
+    case (f, t)
+        if TimestampFamily.fractionalPrecision(f).isDefined &&
+          TimestampFamily.fractionalPrecision(t).isDefined =>
+      TimestampFamily.fractionalPrecision(f).get <= 
TimestampFamily.fractionalPrecision(t).get

Review Comment:
   ```suggestion
       case (f, t) =>
           TimestampFamily.fractionalPrecision(f).exists(fp =>
           TimestampFamily.fractionalPrecision(t).exists(fp <= _))
   ```



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