The article explores how to combine efficient database programming with constraint solving. By using constraints over a small number of variables, they create a constraint query language. This language can handle various types of constraints like inequalities and equalities, making it useful for managing spatial data. The researchers used logic techniques and data complexity concepts to analyze the framework. Overall, this approach can be integrated with existing algorithms and data structures for multidimensional searching.