The core principle is **Current Row Filtering (CRF)** within analytical iterators, a mechanism wherein evaluation functions automatically augment the global filter context with local values from the iterator's current row to produce itemized results before aggregating them back into an array measure or calculated column. This theoretical framework relies on two distinct mechanisms: explicit revisors that apply CRF as their first execution step and predefined metrics (measures) where the revisor logic is encapsulated within metadata, both of which are required to isolate computations for specific iterator instances rather than calculating against the entire visible dataset simultaneously.
The core principle is **Current Row Filtering (CRF)** within analytical iterators, a mechanism wherein evaluation functions automatically augment the global filter context with local values from the …