Document Validator for Non-Relational Database Schema Enforcement
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Solution Overview
Problem
Conventional relational databases are inflexible and require a static schema, making it difficult to adapt to changes, necessitating redesign and additional development resources, while non-relational databases lack a rigid schema, leading to challenges in enforcing data validation and schema management.
Innovation Solution
A system that includes a document validator integrated within the database engine to enforce validation rules on documents in a non-relational database, allowing for adaptive schema management and validation of documents against predefined rules, enabling flexible schema creation and enforcement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a static schema format is used in relational databases, then data integrity is ensured, but adaptability to changes deteriorates
Solution Approach 1:
The patent implements dynamic schema validation in non-relational databases by allowing validation rules to be added, modified, or removed without requiring pre-defined schemas. The system transitions from static schema enforcement to dynamic validation where rules can be applied selectively to document collections, enabling the database to adapt to changing requirements while maintaining data integrity through configurable validation criteria.
2Adaptability or versatility
If schema changes are performed after application development, then new features can be added, but development and testing resources increase
Solution Approach 1:
The system enables operations teams to perform schema changes and add validation rules without requiring developer intervention. The self-service capability allows operations personnel to modify validation rules, add new validation criteria, and update document collections directly through the database interface, eliminating the need for developer involvement in routine schema evolution and reducing the complexity of coordination between development and operations teams.
3Reliability
If developers build validation logic into applications, then data validation is enforced, but application complexity increases
Solution Approach 1:
The patent extracts validation logic from application code and relocates it to the database layer. By implementing validation rules within the non-relational database engine, the system separates validation concerns from application logic, allowing developers to define validation criteria once at the database level rather than duplicating validation code across multiple application layers and programming languages.
4Reliability
If middleware solutions are used for validation, then data control is improved, but system complexity increases
Solution Approach 1:
The patent merges validation functionality directly into the non-relational database engine, combining data storage and validation concerns into a single integrated system. This eliminates the need for separate middleware layers, reducing system complexity while maintaining comprehensive data control through unified validation rules that are enforced at the database level.
Data Source
AI summary
A system is provided that includes a document validation within a non-relational database system that is capable of reviewing documents according to one or more validation rules. The document validator may be incorporated within a non-relational database engine and may perform validation operations when one or more database functions are performed.