Dynamic Database Range Constraints
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Solution Overview
Problem
Existing database systems require manual adjustments to static range constraints as data evolves, leading to high overhead for database administrators due to fixed numerical limits that do not adapt automatically with changing data.
Innovation Solution
Implementing dynamic range constraints that compute limits from data within or across database columns using statistical analysis, allowing the constraints to evolve automatically with the data, thereby eliminating the need for manual adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If static range constraints with fixed numerical limits are used, then data validation is simple and reliable, but the constraints cannot adapt to changing data and require manual adjustment by database administrators
Solution Approach 1:
The patent applies dynamics by transforming static range constraints into dynamic constraints that automatically adjust their numerical limits based on changing data distributions. The system continuously monitors data in database columns and updates constraint boundaries accordingly, allowing the constraints to adapt to evolving data patterns without manual intervention while maintaining reliable validation.
Solution Approach 2:
The patent implements feedback mechanisms where the database system monitors actual data values and uses this information to automatically adjust range constraint limits. The system feeds back data statistics (such as min/max values, percentiles) to dynamically recalculate and update constraint boundaries, ensuring constraints remain appropriate for current data states without requiring administrator intervention.
2Adaptability or versatility
If manual adjustment of fixed range constraint limits is performed, then constraints can be updated to reflect changing data, but database administrators incur high overhead and time consumption
Solution Approach 1:
The patent applies self-service by enabling the database system to automatically adjust its own range constraint limits without requiring administrator intervention. The system monitors data distributions, calculates appropriate constraint boundaries, and updates constraints autonomously, freeing database administrators from routine constraint maintenance tasks and eliminating time consumption associated with manual adjustments.
Solution Approach 2:
The patent implements preliminary action by having the system continuously monitor and analyze data distributions in advance, proactively adjusting constraints before data quality issues arise. The system performs preliminary data analysis and constraint updates automatically, preventing the need for reactive manual interventions by administrators.
3Ease of operation
If fixed numerical limits are set for range constraints, then data entry validation is straightforward, but the constraints become obsolete as data evolves and requires frequent manual reconfiguration
Solution Approach 1:
The patent transforms static validation rules into dynamic ones that automatically adapt to evolving data. The system maintains simple validation operations for data entry while simultaneously updating constraint limits based on real-time data analysis, ensuring both ease of operation and improved maintenance efficiency through automation.
Solution Approach 2:
The patent ensures continuity of useful action by implementing continuous monitoring and automatic adjustment of range constraints. The system continuously analyzes data distributions and updates constraints in real-time, eliminating gaps between data evolution and constraint updates, thereby maintaining both validation simplicity and maintenance efficiency without interruption.
Data Source
AI summary
A dynamic range constraint is defined that has one or more limits that are computed from data residing in the database. In a first embodiment, a dynamic range constraint is defined for a database column that includes at least one limit that is computed from data within that column. In a second embodiment, a dynamic range constraint is defined for a database column that includes at least one limit that is computed from data in a different database column. The limits may be computed using any suitable heuristic or criteria, including statistical analysis of the data in the database. In this manner a range constraint for a column may evolve automatically as the data in the database changes.