[ https://issues.apache.org/jira/browse/CALCITE-1787?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16043293#comment-16043293 ]
Julian Hyde commented on CALCITE-1787: -------------------------------------- I was thinking of adding a new collection alongside "dimensions" and "metrics": {code} "abstractMetrics": [ "user" ] {code} and "userUnique" continues to be a metric: {code} { "name" : "user_unique", "type" : "hyperUnique", "fieldName" : "user" } {code} Then if you write "select count(distinct user) ..." the adapter will use the "user_unique" sketch in the background; if you write "select user ..." the adapter will give an error because the raw values of "user" are not stored. If in future you add a histogram sketch: {code} { "name" : "user_histogram", "type" : "histogram", "fieldName" : "user" } {code} then you will be able to do approximate median queries: "select count(distinct user), median(user), count(user) filter (where user > 50), ..." and the adapter will use the appropriate histogram for each aggregate function. But notice that "user_histogram" and "user_unique" do not appear in queries. (You could use them in queries, but why would you?) > 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. -- This message was sent by Atlassian JIRA (v6.3.15#6346)