gengliangwang commented on a change in pull request #33280:
URL: https://github.com/apache/spark/pull/33280#discussion_r667428195
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File path:
sql/core/src/test/resources/sql-tests/results/timestampNTZ/datetime.sql.out
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@@ -1222,26 +1222,26 @@ select to_timestamp('2019-10-06 A', 'yyyy-MM-dd GGGGG')
-- !query schema
struct<>
-- !query output
-org.apache.spark.SparkUpgradeException
-You may get a different result due to the upgrading of Spark 3.0: Fail to
recognize 'yyyy-MM-dd GGGGG' pattern in the DateTimeFormatter. 1) You can set
spark.sql.legacy.timeParserPolicy to LEGACY to restore the behavior before
Spark 3.0. 2) You can form a valid datetime pattern with the guide from
https://spark.apache.org/docs/latest/sql-ref-datetime-pattern.html
+java.lang.RuntimeException
Review comment:
Yes, it is from https://github.com/apache/spark/pull/33019. Do you think
we should use another exception type?
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