attilapiros commented on a change in pull request #24181: [SPARK-27242][SQL]
Make formatting TIMESTAMP/DATE literals independent from the default time zone
URL: https://github.com/apache/spark/pull/24181#discussion_r268155733
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File path: docs/sql-migration-guide-upgrade.md
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@@ -96,13 +96,17 @@ displayTitle: Spark SQL Upgrading Guide
- The `weekofyear`, `weekday`, `dayofweek`, `date_trunc`,
`from_utc_timestamp`, `to_utc_timestamp`, and `unix_timestamp` functions use
java.time API for calculation week number of year, day number of week as well
for conversion from/to TimestampType values in UTC time zone.
- the JDBC options `lowerBound` and `upperBound` are converted to
TimestampType/DateType values in the same way as casting strings to
TimestampType/DateType values. The conversion is based on Proleptic Gregorian
calendar, and time zone defined by the SQL config `spark.sql.session.timeZone`.
In Spark version 2.4 and earlier, the conversion is based on the hybrid
calendar (Julian + Gregorian) and on default system time zone.
+
+ - Formatting of `TIMESTAMP` and `DATE` literals.
Review comment:
Ok, thanks!
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