huaxingao commented on a change in pull request #28290:
URL: https://github.com/apache/spark/pull/28290#discussion_r412735867
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File path: docs/sql-getting-started.md
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@@ -347,7 +347,8 @@ For example:
</div>
## Scalar Functions
-(to be filled soon)
+
+Scalar functions are functions that return a single value per row, as opposed
to aggregation functions, which return a value for a group of rows. Spark SQL
supports a variety of built-in scalar functions such as [Array
Functions](sql-ref-functions-builtin.html#array-functions), [Map
Functions](sql-ref-functions-builtin.html#map-functions), [Date and Timestamp
Functions](sql-ref-functions-builtin.html#date-and-timestamp-functions), etc.
It also supports [User Defined Scalar
Functions](sql-ref-functions-udf-scalar.html).
Review comment:
Seems the next paragraph talks about builtin aggregation functions and
user defined aggregation functions, so I guess it's better for our paragraph
to talk about scalar function than built-in function?
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