Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/23196#discussion_r238495344
--- Diff: docs/sql-migration-guide-upgrade.md ---
@@ -33,6 +33,8 @@ displayTitle: Spark SQL Upgrading Guide
- Spark applications which are built with Spark version 2.4 and prior,
and call methods of `UserDefinedFunction`, need to be re-compiled with Spark
3.0, as they are not binary compatible with Spark 3.0.
+ - Since Spark 3.0, JSON datasource uses java.time API for parsing and
generating JSON content. New formatting implementation supports date/timestamp
patterns conformed to ISO 8601. To switch back to the implementation used in
Spark 2.4 and earlier, set `spark.sql.legacy.timeParser.enabled` to `true`.
--- End diff --
I think we can add an example that shows the diff. IIRC it has a difference
about exact match or non-exact match.
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