cloud-fan commented on code in PR #51824:
URL: https://github.com/apache/spark/pull/51824#discussion_r2258854555


##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/datetimeExpressions.scala:
##########
@@ -3003,40 +3003,30 @@ case class MakeTimestamp(
   }
 }
 
-// scalastyle:off line.size.limit
-@ExpressionDescription(
-  usage = "_FUNC_(year, month, day, hour, min, sec[, timezone]) - Try to 
create a timestamp from year, month, day, hour, min, sec and timezone fields. 
The result data type is consistent with the value of configuration 
`spark.sql.timestampType`. The function returns NULL on invalid inputs.",
-  arguments = """
-    Arguments:
-      * year - the year to represent, from 1 to 9999
-      * month - the month-of-year to represent, from 1 (January) to 12 
(December)
-      * day - the day-of-month to represent, from 1 to 31
-      * hour - the hour-of-day to represent, from 0 to 23
-      * min - the minute-of-hour to represent, from 0 to 59
-      * sec - the second-of-minute and its micro-fraction to represent, from 0 
to 60.
-              The value can be either an integer like 13 , or a fraction like 
13.123.
-              If the sec argument equals to 60, the seconds field is set
-              to 0 and 1 minute is added to the final timestamp.
-      * timezone - the time zone identifier. For example, CET, UTC and etc.
-  """,
-  examples = """
-    Examples:
-      > SELECT _FUNC_(2014, 12, 28, 6, 30, 45.887);
-       2014-12-28 06:30:45.887
-      > SELECT _FUNC_(2014, 12, 28, 6, 30, 45.887, 'CET');
-       2014-12-27 21:30:45.887
-      > SELECT _FUNC_(2019, 6, 30, 23, 59, 60);
-       2019-07-01 00:00:00
-      > SELECT _FUNC_(2019, 6, 30, 23, 59, 1);
-       2019-06-30 23:59:01
-      > SELECT _FUNC_(null, 7, 22, 15, 30, 0);
-       NULL
-      > SELECT _FUNC_(2024, 13, 22, 15, 30, 0);
-       NULL
-  """,
-  group = "datetime_funcs",
-  since = "4.0.0")
-// scalastyle:on line.size.limit
+case class TryMakeTimestampFromDateTime(

Review Comment:
   to confirn: this will never fail so the try_ version and normal version have 
no difference?



##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/datetimeExpressions.scala:
##########
@@ -3003,40 +3003,30 @@ case class MakeTimestamp(
   }
 }
 
-// scalastyle:off line.size.limit
-@ExpressionDescription(
-  usage = "_FUNC_(year, month, day, hour, min, sec[, timezone]) - Try to 
create a timestamp from year, month, day, hour, min, sec and timezone fields. 
The result data type is consistent with the value of configuration 
`spark.sql.timestampType`. The function returns NULL on invalid inputs.",
-  arguments = """
-    Arguments:
-      * year - the year to represent, from 1 to 9999
-      * month - the month-of-year to represent, from 1 (January) to 12 
(December)
-      * day - the day-of-month to represent, from 1 to 31
-      * hour - the hour-of-day to represent, from 0 to 23
-      * min - the minute-of-hour to represent, from 0 to 59
-      * sec - the second-of-minute and its micro-fraction to represent, from 0 
to 60.
-              The value can be either an integer like 13 , or a fraction like 
13.123.
-              If the sec argument equals to 60, the seconds field is set
-              to 0 and 1 minute is added to the final timestamp.
-      * timezone - the time zone identifier. For example, CET, UTC and etc.
-  """,
-  examples = """
-    Examples:
-      > SELECT _FUNC_(2014, 12, 28, 6, 30, 45.887);
-       2014-12-28 06:30:45.887
-      > SELECT _FUNC_(2014, 12, 28, 6, 30, 45.887, 'CET');
-       2014-12-27 21:30:45.887
-      > SELECT _FUNC_(2019, 6, 30, 23, 59, 60);
-       2019-07-01 00:00:00
-      > SELECT _FUNC_(2019, 6, 30, 23, 59, 1);
-       2019-06-30 23:59:01
-      > SELECT _FUNC_(null, 7, 22, 15, 30, 0);
-       NULL
-      > SELECT _FUNC_(2024, 13, 22, 15, 30, 0);
-       NULL
-  """,
-  group = "datetime_funcs",
-  since = "4.0.0")
-// scalastyle:on line.size.limit
+case class TryMakeTimestampFromDateTime(

Review Comment:
   to confirm: this will never fail so the try_ version and normal version have 
no difference?



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