The method of organizing monolithic data and the retrieval process using the Direct Memory Mapping (DNT) mechanism.

Abstract

The invention proposes a method for organizing monolithic data and a retrieval process using a Direct Memory Mapping (DNT) mechanism to optimize the performance of large-scale data processing (Big Data). The solution involves restructuring the data into a flat two-dimensional matrix (DataMatrix) and directly loading it into the linear memory space of a 64-bit system, completely eliminating traditional hierarchical structures (Tree-based) and indexing tables. The system establishes a local coordinate system by mapping identifier keys (IDs) and data field names (Fields) to corresponding coordinate axis maps. When performing a query, the DNT mechanism instantaneously calculates the physical memory address at the intersection of the coordinate axes to extract data with a constant time complexity of O(1). The invention eliminates redundant data scanning loops, reduces CPU load, prevents memory fragmentation, and optimizes power consumption, enabling efficient processing of datasets containing billions of records on personal computing devices.