learningchess2003 commented on code in PR #41319:
URL: https://github.com/apache/spark/pull/41319#discussion_r1207339425
##########
sql/core/src/test/resources/sql-tests/inputs/charvarchar.sql:
##########
@@ -117,3 +117,26 @@ drop table char_tbl4;
-- ascii value for Latin-1 Supplement characters
select ascii('§'), ascii('÷'), ascii('×10');
select chr(167), chr(247), chr(215);
+
+-- [SPARK-43815] Add to_varchar alias for to_char
+-- TO_VARCHAR()
+-- Alias of TO_CHAR()
+create table num_data (id int, val decimal(38,10)) using parquet;
+
+insert into num_data values (0, 0);
+insert into num_data values (1, 0);
+insert into num_data values (2, -34338492.215397047);
+insert into num_data values (3, 4.31);
+insert into num_data values (4, 7799461.4119);
+insert into num_data values (5, 16397.038491);
+insert into num_data values (6, 93901.57763026);
+insert into num_data values (7, -83028485);
+insert into num_data values (8, 74881);
+insert into num_data values (9, -24926804.045047420);
+
+select * from num_data;
+
+select '' as to_varchar_3, to_varchar(val,
'9999999999999999.999999999999999PR'), val
+from num_data;
+
+drop table num_data;
Review Comment:
@MaxGekk I don't think to_char/to_varchar accepts a timestamp literal yet.
At the very least, when running this command, I got the following error:
```
-- !query
select to_varchar(date'26-May-2023', 'yyyy.mm.dd')
-- !query schema
struct<>
-- !query output
org.apache.spark.sql.catalyst.parser.ParseException
{
"errorClass" : "INVALID_TYPED_LITERAL",
"sqlState" : "42604",
"messageParameters" : {
"value" : "'26-May-2023'",
"valueType" : "\"DATE\""
},
"queryContext" : [ {
"objectType" : "",
"objectName" : "",
"startIndex" : 19,
"stopIndex" : 35,
"fragment" : "date'26-May-2023'"
} ]
}
```
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