Database Rule Ordering Service for SQL Dependency Resolution
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Solution Overview
Problem
Existing database management systems face challenges in efficiently processing complex Structured Query Language (SQL) statements due to sequential processing methods, which require skilled analysts to structure statements in a specific order, leading to time-consuming and potentially inaccurate results.
Innovation Solution
A method and system for automatically ordering and processing database rules, known as the rule ordering service, which parses and compiles SQL statements to resolve dependencies, ensuring proper processing order through iterative analysis and modification of statements, allowing for dynamic and transparent resolution of rule dependencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If SQL statements are processed sequentially in a specific order, then processing accuracy is improved, but processing time increases and requires skilled analysts
Solution Approach 1:
The patent applies preliminary action by analyzing and determining the correct processing order of SQL rules before actual execution. The system performs a preliminary pass through the SQL statement to identify rule dependencies and establish an execution sequence, ensuring accurate processing without requiring analysts to manually structure statements in the correct order.
Solution Approach 2:
The patent replaces the mechanical manual structuring process with an automated system. Instead of relying on skilled analysts to manually order SQL rules correctly, the system automatically analyzes rule dependencies and determines the proper execution sequence, substituting human expertise with computational analysis.
2Reliability
If skilled analysts manually structure SQL statements in a specific order, then processing accuracy is improved, but the complexity of operation increases
Solution Approach 1:
The patent implements self-service by enabling the SQL processing system to automatically determine and enforce the correct rule processing order without human intervention. The system analyzes rule dependencies, resolves conflicts, and executes rules in the proper sequence autonomously, eliminating the need for analysts to manually structure statements.
Solution Approach 2:
The patent replaces the manual mechanical process of structuring SQL statements with an automated computational system that analyzes dependencies and determines execution order automatically, significantly improving ease of operation while maintaining processing accuracy.
3Adaptability or versatility
If complex SQL statements with nested rules are processed, then analytical capability is improved, but the device complexity increases
Solution Approach 1:
The patent applies segmentation by breaking down complex SQL statements into individual rules and analyzing their dependencies separately. The system divides the processing task into identifying rule definitions, analyzing dependencies, determining execution order, and executing rules in sequence, making the complex process more manageable and systematic.
Solution Approach 2:
The patent introduces an intermediary processing layer that sits between the SQL statement and the execution engine. This intermediary system analyzes rule dependencies, resolves conflicts, and determines the correct execution sequence, acting as a mediator that simplifies the processing of complex nested rules without requiring changes to the underlying database system.
Data Source
AI summary
Techniques for database rule ordering and processing are provided. Structured Query Language (SQL) statements are iterated to identify processing dependencies and a processing order is generated. The SQL statements are automatically modified to enforce the processing order and the modified SQL statements are executed against a database.