huaxingao commented on a change in pull request #28290:
URL: https://github.com/apache/spark/pull/28290#discussion_r414213806
##########
File path: docs/sql-ref-functions.md
##########
@@ -27,12 +27,15 @@ Built-in functions are commonly used routines that Spark
SQL predefines and a co
Spark SQL has some categories of frequently-used built-in functions for
aggregtion, arrays/maps, date/timestamp, and JSON data.
This subsection presents the usages and descriptions of these functions.
- * [Aggregate Functions](sql-ref-functions-builtin.html#aggregate-functions)
- * [Window Functions](sql-ref-functions-builtin.html#window-functions)
+#### Scalar Functions
* [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)
* [JSON Functions](sql-ref-functions-builtin.html#json-functions)
+ * [Window Functions](sql-ref-functions-builtin.html#window-functions)
Review comment:
This is how snowflake categorizes the functions:
https://docs.snowflake.com/en/sql-reference-functions.html.
Snowflake lists window function in parallel with scalar function and
aggregate function, but it also says "Window Functions — subset of aggregate
functions that can operate on a subset of rows."
I guess it's safe to use your proposal
```
#### Aggregate-like Functions
Aggregate Functions
Window Functions
```
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