| 摘要 |
A multi-dimensional database includes hierarchical levels. The data is hierarchical, with aggregatable data measures, so that changes in a first intersection will cause changes in other intersections for the aggregated measure. Selected intersections can be locked, so that changes in aggregatable data are restricted. Constrained sets corresponding to the locked intersections limit the scope of changes which may be made, and ensure a high level of efficiency. |
