MaxGekk commented on a change in pull request #33280: URL: https://github.com/apache/spark/pull/33280#discussion_r667445303
########## File path: sql/core/src/test/resources/sql-tests/results/timestampNTZ/datetime.sql.out ########## @@ -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: I am ok with the exception type. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org