Dynamic Recipe Database Versioning for Lower Storage Overhead
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Solution Overview
Problem
Conventional database management systems lack an efficient and collaborative method for generating new database items based on various versions and components of existing items, failing to leverage traceability and versioning to reduce storage size.
Innovation Solution
A dynamic database system that stores recipes with elements, linkages between elements, and generates new recipes by comparing differences between existing recipes, incorporating linkages to previous elements to reduce storage overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If standard database methods are used to create new items by inputting all new data, then complete data integrity is maintained, but storage size increases and efficiency decreases
Solution Approach 1:
The database item is segmented into a template portion (stored once) and a variation portion (stored for each instance). The template contains common elements while variations store only differences, allowing efficient storage while maintaining data integrity through structured composition.
Solution Approach 2:
The database structure implements nesting by embedding variation data within the template framework. Each database item nests the template reference alongside its specific variations, creating a compact hierarchical structure that reduces overall storage while preserving complete data information.
2Loss of information
If conventional database systems store all data for each item, then traceability is maintained, but storage overhead increases
Solution Approach 1:
The system extracts common elements into a shared template and separates them from item-specific variations. This extraction allows traceability to be maintained through template references while reducing storage overhead by eliminating redundant copies of common data across multiple items.
Solution Approach 2:
The template serves multiple functions: it provides the base structure for all items in a category, maintains traceability through inheritance, and reduces storage overhead by being shared across all instances. This multi-functionality resolves the contradiction between traceability and storage efficiency.
3Ease of manufacture
If new database items are generated without leveraging existing versions, then generation simplicity is maintained, but collaborative efficiency decreases
Solution Approach 1:
The system performs preliminary action by automatically generating a template from existing database items before new items are created. This pre-prepared template serves as the foundation for subsequent item generation, making the creation process simpler and more efficient while enabling collaborative workflows.
Solution Approach 2:
The system uses copying by creating new database items as copies of existing templates with variations. This copying mechanism maintains generation simplicity while improving collaborative efficiency, as users can build upon existing work rather than creating items from scratch.
Data Source
AI summary
A system and method of managing a dynamic database is provided. The system and method includes (i) storing a plurality of recipes in a database, wherein each database recipe includes a plurality of elements, (ii) storing a plurality of linkages between elements of different recipes in the database, (iii) generating a query to compare differences between a first recipe and a second recipe of the plurality of recipes, (iv) determining one or more elements that are different between the first recipe and the second recipe based upon results of the query, and (v) generating a new recipe based on the results of the query and the determined one or more elements, wherein the new recipe includes one or more linkages to a first element associated with the first recipe and one or more linkages to a second element associated with the second recipe.


