cloud-fan commented on a change in pull request #28766:
URL: https://github.com/apache/spark/pull/28766#discussion_r438146490
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File path: sql/core/src/test/resources/sql-tests/inputs/datetime-parsing.sql
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@@ -0,0 +1,17 @@
+--- TESTS FOR DATETIME PARSING FUNCTIONS ---
+
+-- parsing with pattern 'D'
+select to_timestamp('9', 'D');
+select to_timestamp('300', 'D');
+select to_timestamp('09', 'DD');
+select to_timestamp('99', 'DD');
+select to_timestamp('009', 'DDD');
+select to_timestamp('365', 'DDD');
+select to_timestamp('31-365', 'dd-DDD');
+select to_timestamp('12-365', 'MM-DDD');
+select to_timestamp('2020-365', 'yyyy-DDD');
+select to_timestamp('12-31-365', 'MM-dd-DDD');
+select to_timestamp('2020-30-365', 'yyyy-dd-DDD');
+select to_timestamp('2020-12-350', 'yyyy-MM-DDD');
+select to_timestamp('2020-12-31-366', 'yyyy-MM-dd-DDD');
+select from_csv('2018-365', 'date Date', map('dateFormat', 'yyyy-DDD'))
Review comment:
for non-error case, csv has no difference, we don't need to test it.
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