vtlim commented on code in PR #16673:
URL: https://github.com/apache/druid/pull/16673#discussion_r1667167887


##########
docs/querying/sql-data-types.md:
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@@ -34,12 +34,23 @@ Druid associates each column with a specific data type. 
This topic describes sup
 
 Druid natively supports the following basic column types:
 
-* LONG: 64-bit signed int
-* FLOAT: 32-bit float
-* DOUBLE: 64-bit float
-* STRING: UTF-8 encoded strings and string arrays
-* COMPLEX: non-standard data types, such as nested JSON, hyperUnique and 
approxHistogram, and DataSketches
-* ARRAY: arrays composed of any of these types
+* `LONG`: 64-bit signed int
+* `FLOAT`: 32-bit float
+* `DOUBLE`: 64-bit float
+* `STRING`: UTF-8 encoded strings and string arrays
+* `ARRAY`: arrays composed of any of these types
+
+## Complex types
+
+Druid natively supports the following complex types:
+* `COMPLEX<JSON>`: stores a copy of structured data in JSON format and 
specialized internal columns and indexes for nested basic types. Click here to 
learn more about [`COMPLEX<JSON>`](nested-columns.md)
+* `cardinality`: Data structure to compute the cardinality of Apache Druid 
dimensions using the HyperLogLog algorithm. Click here to learn more about 
[`cardinality`](hll-old.md#cardinality-aggregator)
+* `hyperUnique`: Data structure of aggregated values to estimate count 
distinct using a variant of the HyperLogLog approximation algorithm. Consider 
using HLL sketches for better accuracy in many cases. Click here to learn more 
about [`hyperUnique`](hll-old.md#hyperunique-aggregator)

Review Comment:
   We should mention the complex types for DataSketches and link to 
https://druid.apache.org/docs/latest/development/extensions-core/datasketches-extension/
   
   Maybe something like this? "Complex types for sketches, including HLL and 
Theta sketch. For more information, see ..."



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