Table Data Recalculation Using Target Field Matching

The patent segments the recalculation process by identifying and isolating only the specific fields affected by data modifications. Instead of recalculating all fields in multi-dimensional tables, the system divides the calculation scope into affected and unaffected portions, performing recalculation only on segmented affected fields. This resolves the contradiction by maintaining data accuracy through targeted recalculation while reducing computational costs by excluding unrelated fields.

The patent applies local quality by implementing field-level granularity in recalculation operations. The system identifies modification fields at the field level and applies recalculation only to those specific locations where changes occurred, rather than applying uniform recalculation across the entire table structure. This localized approach preserves data accuracy where needed while minimizing unnecessary computational expenditure in unaffected areas.

The patent extracts and identifies only the modification fields from the set of all fields in multi-dimensional tables. When data modifications occur, the system takes out the specific modified fields for recalculation consideration, excluding all other unchanged fields from the recalculation process. This extraction approach ensures data consistency for modified fields while dramatically improving recalculation efficiency by eliminating unnecessary processing of unrelated fields.

The patent implements partial action by performing recalculation only on the subset of fields that are actually affected by modifications, rather than applying excessive recalculation to all fields. The system determines the minimal necessary recalculation scope by comparing modification fields with target fields associated with calculation formulas, executing recalculation only where partially needed. This partial approach maintains sufficient data consistency while optimizing recalculation efficiency.