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https://issues.apache.org/jira/browse/CALCITE-1787?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16033414#comment-16033414
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Julian Hyde commented on CALCITE-1787:
--------------------------------------

Both of the following queries are valid SQL and we should push them down to 
Druid and use theta sketches (or HLL, whichever is available):

{code}
select count(distinct "customer_id")
from "foodmart"
where "store_city" in ('Chicago', 'Seattle')

select count(distinct "customer_id") filter (where "store_city" in ('Chicago', 
'Seattle')
from "foodmart"
{code}

That's the what. Now let's figure out the how.

> thetaSketch Support for Druid Adapter
> -------------------------------------
>
>                 Key: CALCITE-1787
>                 URL: https://issues.apache.org/jira/browse/CALCITE-1787
>             Project: Calcite
>          Issue Type: New Feature
>          Components: druid
>    Affects Versions: 1.12.0
>            Reporter: Zain Humayun
>            Assignee: Zain Humayun
>            Priority: Minor
>
> Currently, the Druid adapter does not support the 
> [thetaSketch|http://druid.io/docs/latest/development/extensions-core/datasketches-aggregators.html]
>  aggregate type, which is used to measure the cardinality of a column 
> quickly. Many Druid instances support theta sketches, so I think it would be 
> a nice feature to have.
> I've been looking at the Druid adapter, and propose we add a new DruidType 
> called {{thetaSketch}} and then add logic in the {{getJsonAggregation}} 
> method in class {{DruidQuery}} to generate the {{thetaSketch}} aggregate. 
> This will require accessing information about the columns (what data type 
> they are) so that the thetaSketch aggregate is only produced if the column's 
> type is {{thetaSketch}}. 
> Also, I've noticed that a {{hyperUnique}} DruidType is currently defined, but 
> a {{hyperUnique}} aggregate is never produced. Since both are approximate 
> aggregators, I could also couple in the logic for {{hyperUnique}}.
> I'd love to hear your thoughts on my approach, and any suggestions you have 
> for this feature.



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