srielau commented on code in PR #36857:
URL: https://github.com/apache/spark/pull/36857#discussion_r898093995


##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Cast.scala:
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@@ -1015,6 +1014,11 @@ case class Cast(
       } catch {
         case _: NumberFormatException => null
       }
+    case x: DayTimeIntervalType =>
+      buildCast[Long](_, dt => changePrecision(dayTimeIntervalToDecimal(dt, 
x.endField), target))
+    case x: YearMonthIntervalType =>
+      buildCast[Int](_, ym =>
+        changePrecision(Decimal(yearMonthIntervalToInt(ym, x.startField, 
x.endField)), target))

Review Comment:
   I will take confusion on what is scale and what is precision to my grave....
   
   We can round/truncate, but not modulo/wrap.
   So I see:
   CAST(INTERVAL '1.234' SECOND AS DECIMAL(1,0)) as perfectly fine.
   But:
   CAST(INTERVAL('123.4' SECOND AS DECIMAL(4, 2)) is an overflow.
   On trunc vs round the semantic is given in DECIMAL to DECIMAL:
   select cast(1.5 AS DECIMAL(1, 0));
   2
   
   PS: I loathe that cannot change decimal precision error. In most cases we 
should just call it an overflow.



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