andygrove commented on code in PR #2674:
URL: https://github.com/apache/datafusion-comet/pull/2674#discussion_r2482573994


##########
docs/source/user-guide/latest/compatibility.md:
##########
@@ -101,18 +53,14 @@ Sorting on floating-point data types (or complex types 
containing floating-point
 Spark if the data contains both zero and negative zero. This is likely an edge 
case that is not of concern for many users
 and sorting on floating-point data can be enabled by setting 
`spark.comet.expression.SortOrder.allowIncompatible=true`.
 
-There is a known bug with using count(distinct) within aggregate queries, 
where each NaN value will be counted
-separately [#1824](https://github.com/apache/datafusion-comet/issues/1824).
-
 ## Incompatible Expressions
 
-Some Comet native expressions are not 100% compatible with Spark and are 
disabled by default. These expressions
-will fall back to Spark but can be enabled by setting 
`spark.comet.expression.allowIncompatible=true`.
-
-## Array Expressions
+Expressions that are not 100% Spark-compatible will fall back to Spark by 
default and can be enabled by setting
+`spark.comet.expression.EXPRNAME.allowIncompatible=true`, where `EXPRNAME` is 
the Spark expression class name. See 
+the [Comet Supported Expressions Guide](expressions.md) for more information 
on this configuration setting.  
 
-Comet has experimental support for a number of array expressions. These are 
experimental and currently marked
-as incompatible and can be enabled by setting 
`spark.comet.expression.allowIncompatible=true`.

Review Comment:
   The previous section explains incompatible expressions. There is no need to 
say anything special about array expressions.



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