maropu commented on a change in pull request #28157: [SPARK-31390][SQL][DOCS] Document Window Function URL: https://github.com/apache/spark/pull/28157#discussion_r405984981
########## File path: docs/sql-ref-functions-builtin.md ########## @@ -19,8 +19,6 @@ license: | limitations under the License. --- -Spark SQL defines built-in functions to use, a complete list of which can be found [here](api/sql/). Among them, Spark SQL has several special categories of built-in functions: [Aggregate Functions](sql-ref-functions-builtin-aggregate.html) to operate on a group of rows, [Array Functions](sql-ref-functions-builtin-array.html) to operate on Array columns, and [Date and Time Functions](sql-ref-functions-builtin-date-time.html) to operate on Date and Time. - -* [Aggregate Functions](sql-ref-functions-builtin-aggregate.html) -* [Array Functions](sql-ref-functions-builtin-array.html) -* [Date and Time Functions](sql-ref-functions-builtin-date-time.html) +Spark SQL defines built-in functions to use, a complete list of which can be found [here](api/sql/). Among them, Spark SQL has several special categories of built-in functions: [Aggregate Functions](sql-ref-functions-builtin-aggregate.html) to operate on a group of rows and return a single value, and [Window Functions](sql-ref-functions-builtin-window.html) to operate on a group of rows but return values for each row in the group. Review comment: nit: add a blank line here. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
