Multidimensional Grouping Operators for Non-Relational Data
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Solution Overview
Problem
Conventional grouping operators in relational databases, such as 'Rollup' and 'Cube', are limited to tabular data representations, resulting in excessive 'NULL' values and are restricted to relational data sources, failing to provide efficient multidimensional querying capabilities across arbitrary data sources.
Innovation Solution
The introduction of a grouping set operator that can be translated into a multidimensional LINQ object, enabling execution on any data source, including non-relational sources, by using a sequence of functions corresponding to key selectors, allowing for efficient data aggregation and multidimensional results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional grouping operators (Rollup, Cube) are used in relational databases, then data aggregation across multiple dimensions is achieved, but excessive NULL values are generated and the operators are restricted to relational data sources only
Solution Approach 1:
The patent extends grouping operators beyond relational databases to work with arbitrary data sources including non-relational stores. The LINQ-based query system provides a universal interface that can operate on different data models (relational tables, key-value stores, documents) without being restricted to traditional tabular structures, thereby achieving multi-functionality across diverse data sources
Solution Approach 2:
The patent introduces a new dimension of operation by translating grouping set operators into LINQ objects with sequences of functions. This functional transformation allows the system to handle multidimensional grouping operations in a way that naturally accommodates non-relational data structures, avoiding the NULL value problem inherent in traditional relational approaches while maintaining adaptability across data source types
2Adaptability or versatility
If grouping set operator is translated into LINQ object with sequence of functions, then multidimensional queries can execute on arbitrary data sources, but the system complexity increases
Solution Approach 1:
The patent introduces LINQ objects with sequences of functions as an intermediary layer between the grouping set operators and arbitrary data sources. This mediator translates high-level grouping operations into executable function sequences that can operate on different data models, providing a standardized interface that reduces the complexity of directly implementing support for multiple data source types
Solution Approach 2:
The patent segments the grouping operation into a sequence of discrete functions within the LINQ object. Each function in the sequence represents a specific step in the multidimensional grouping process, allowing the complex operation to be broken down into manageable, composable units that can be executed on arbitrary data sources with consistent behavior
Data Source
AI summary
A multidimensional object, such as a language-integrated query (LINQ) object, can be generated based upon a grouping set operator and zero or more key selectors. The object can be utilized to query over a non-relational data source. The object can include a sequence of functions corresponding to each grouping related to the grouping set operator in order to provide multidimensional grouping representation. Furthermore, the object includes nested structures for optimized execution of the grouping set operator.