Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/22440#discussion_r218021130
--- Diff: docs/sql-programming-guide.md ---
@@ -1879,6 +1879,7 @@ working with timestamps in `pandas_udf`s to get the
best performance, see
## Upgrading From Spark SQL 2.3 to 2.4
+ - In version 2.3 and earlier, if `spark.sql.caseSensitive` is set to
true, then the `CURRENT_DATE` and `CURRENT_TIMESTAMP` functions incorrectly
became case-sensitive and would resolve to columns (unless typed in lower
case). In Spark 2.4 this has been fixed and the functions are no longer
case-sensitive.
--- End diff --
Shall we give the specified version range like
https://github.com/apache/spark/pull/21217/files#r203205223?
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