Hoa 7675582dab [SPARK-34357][SQL] Map JDBC SQL TIME type to TimestampType with time portion fixed regardless of timezone ... ### What changes were proposed in this pull request? Due to user-experience (confusing to Spark users - java.sql.Time using milliseconds vs Spark using microseconds; and user losing useful functions like hour(), minute(), etc on the column), we have decided to revert back to use TimestampType but this time we will enforce the hour to be consistently across system timezone (via offset manipulation) and date part fixed to zero epoch. Full Discussion with Wenchen Fan Wenchen Fan regarding this ticket is here https://github.com/apache/spark/pull/30902#discussion_r569186823 ### Why are the changes needed? Revert and improvement to sql.Time handling ### Does this PR introduce _any_ user-facing change? No ### How was this patch tested? Unit tests and integration tests Closes #31473 from saikocat/SPARK-34357. Authored-by: Hoa <hoameomu@gmail.com> Signed-off-by: Wenchen Fan <wenchen@databricks.com>		2021-02-04 17:16:39 +00:00
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src/test	[SPARK-34357][SQL] Map JDBC SQL TIME type to TimestampType with time portion fixed regardless of timezone	2021-02-04 17:16:39 +00:00
pom.xml	[SPARK-33662][BUILD] Setting version to 3.2.0-SNAPSHOT	2020-12-04 14:10:42 -08:00