Laksh Singla 17e4f3ac60 Refactor GroupBy and TopN code to relax the constraint of dimensions being comparable (#15559) ... The code in the groupBy engine and the topN engine assume that the dimensions are comparable and can call dimA.compareTo(dimB) to sort the dimensions and group them together. This works well for the primitive dimensions, because they are Comparable, however falls apart when the dimensions can be arrays (or in future scenarios complex columns). In cases when the dimensions are not comparable, Druid resorts to having a wrapper type ComparableStringArray and ComparableList, which is a Comparable, based on the list comparator.		2024-02-27 11:39:29 +05:30
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src	Refactor GroupBy and TopN code to relax the constraint of dimensions being comparable (#15559)	2024-02-27 11:39:29 +05:30
pom.xml	Support Union in decoupled mode (#15870)	2024-02-21 10:54:50 -05:00