[GitHub] [spark] cloud-fan commented on a change in pull request #27956: [SPARK-31189][SQL][DOCS] Fix errors and missing parts for datetime pattern document

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cloud-fan commented on a change in pull request #27956: [SPARK-31189][SQL][DOCS] Fix errors and missing parts for datetime pattern document
URL: https://github.com/apache/spark/pull/27956#discussion_r394848994
 
 

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 File path: docs/sql-ref-datetime-pattern.md
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 @@ -21,11 +21,26 @@ license: |
 
 There are several common scenarios for datetime usage in Spark:
 
-- CSV/JSON datasources use the pattern string for parsing and formatting time content.
+- CSV/JSON datasources use the pattern string for parsing and formatting datetime content.
 
-- Datetime functions related to convert string to/from `DateType` or `TimestampType`. For example, unix_timestamp, date_format, to_unix_timestamp, from_unixtime, to_date, to_timestamp, from_utc_timestamp, to_utc_timestamp, etc.
+- Datetime functions related to convert `StringType` to/from `DateType` or `TimestampType`.
+  For example, `unix_timestamp`, `date_format`, `to_unix_timestamp`, `from_unixtime`, `to_date`, `to_timestamp`, `from_utc_timestamp`, `to_utc_timestamp`, etc.
+
+Spark uses [java.time.format.DateTimeFormatter](https://docs.oracle.com/javase/8/docs/api/java/time/format/DateTimeFormatter.html)
 
 Review comment:
   I wouldn't mention these 2 java classes at all. Users don't care how we implement it, but what the behavior is.

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