Recursive MDX Query Rationalization for OLAP Size Limits

The patent segments the large list of members into multiple smaller subsets or groups. Instead of including all members in a single enumeration, the query is divided into multiple smaller queries, each handling a subset of members. This segmentation allows the system to retrieve comprehensive data across all members while keeping each individual query within size limits imposed by the OLAP server.

The patent introduces an additional dimension by adding a grouping or pagination parameter to the query structure. By organizing members into groups across multiple query executions (effectively adding a query iteration dimension), the system can handle large member sets without requiring a single oversized query. This transforms the problem from one dimensional (single large query) to multi-dimensional (multiple structured queries).

The patent extracts and separates the member enumeration logic from the core query structure. By pulling out the large list of members and handling them through iterative processing or grouping mechanisms, the core query template remains simple and reusable. This extraction reduces query complexity by eliminating the need to embed massive member lists directly in each query while maintaining comprehensive data coverage.

The patent creates a universal query template that can be applied repeatedly across different member subsets. Instead of creating unique complex queries for each member combination, a single parameterized query structure serves multiple purposes by accepting different member groups as parameters. This multi-functional approach reduces overall query complexity while ensuring comprehensive data retrieval across all members.