The core principle is that aggregation iterators in Power BI evaluate their expression columns against a temporary table derived from non-respectful derivation functions, which explicitly ignore the current filter context rather than respecting it. Formally, this mechanism relies on the behavior of `ALL` when applied to tables or columns within an iterator like `SUMX`, creating a static row set independent of external filtering logic. This concept belongs to the domain of database theory and business intelligence semantics regarding filter propagation in array iterators. Theoretically, it demonstrates that non-respectful derivations decouple evaluation scope from context filters when placed inside aggregators, causing uniform results across cells where distinct logical conditions would typically exist outside such an iterator structure.
The core principle is that aggregation iterators in Power BI evaluate their expression columns against a temporary table derived from non-respectful derivation functions, which explicitly ignore the …