clintropolis commented on code in PR #16673:
URL: https://github.com/apache/druid/pull/16673#discussion_r1680092367


##########
docs/querying/sql-data-types.md:
##########
@@ -64,7 +75,7 @@ The following table describes how Druid maps SQL types onto 
native types when ru
 |TIMESTAMP|LONG|`0`, meaning 1970-01-01 00:00:00 UTC|Druid's `__time` column 
is reported as TIMESTAMP. Casts between string and timestamp types assume 
standard SQL formatting, such as `2000-01-02 03:04:05`, not ISO 8601 
formatting. For handling other formats, use one of the [time 
functions](sql-scalar.md#date-and-time-functions).|
 |DATE|LONG|`0`, meaning 1970-01-01|Casting TIMESTAMP to DATE rounds down the 
timestamp to the nearest day. Casts between string and date types assume 
standard SQL formatting—for example, `2000-01-02`. For handling other 
formats, use one of the [time 
functions](sql-scalar.md#date-and-time-functions).|
 |ARRAY|ARRAY|`NULL`|Druid native array types work as SQL arrays, and 
multi-value strings can be converted to arrays. See [Arrays](#arrays) for more 
information.|
-|OTHER|COMPLEX|none|May represent various Druid column types such as 
hyperUnique, approxHistogram, etc.|
+|OTHER|COMPLEX|none|May represent various Druid column types such as 
hyperUnique, cardinality, etc.|

Review Comment:
   cardinality isn't really a column a type, rather an aggregator type. this 
should also mention that which types are available is dependent on which 
extensions are loaded and link to the extension docs. However, afaik none of 
the extension docs contain information on how the type is displayed in like 
`INFORMATION_SCHEMA` columns table, so those docs might also need updated to 
indicate how their types are presented.



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