edgar2020 commented on code in PR #16673: URL: https://github.com/apache/druid/pull/16673#discussion_r1680109291
########## docs/querying/sql-data-types.md: ########## @@ -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) Review Comment: To clarify, is there both a COMPLEX<hyperUnique> and a hyperUnique aggregator? Because the [hll-old.md](https://druid.apache.org/docs/latest/querying/hll-old#hyperunique-aggregator ) page refers to a HyperUnique Aggregator? -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
