Database Junction Data Embedding in Entity Creation
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Solution Overview
Problem
Conventional database management systems face challenges in efficiently processing many-to-many relationships, leading to increased computing overhead and data corruption, especially in cloud-based systems with serialized APIs, due to the need for multiple API calls and separate junction tables.
Innovation Solution
Representing junction relationship data within a flattened array or string structure during the creation of a new database entity, allowing for a single call to associate junction data with the entity, thereby reducing the likelihood of data corruption and processing overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional junction tables are used to manage many-to-many relationships, then database relationships can be maintained, but computing resources and processing overhead increase substantially
Solution Approach 1:
The patent merges the junction table operations with the main entity creation operation. Instead of creating a junction table separately after obtaining an entity key, the system embeds junction relationship data within the entity creation request itself, allowing both operations to execute simultaneously in a single database transaction. This eliminates the sequential processing steps and reduces computing overhead while maintaining relationship integrity.
Solution Approach 2:
The system makes the entity creation operation universal by accepting both entity definition data and junction relationship data within the same request structure. This multi-functional approach allows a single API call to perform both entity creation and relationship establishment, eliminating the need for separate specialized operations and reducing overall processing complexity.
2Reliability
If multiple separate API calls are used to create entities and establish junction relationships, then data can be validated and relationships can be maintained, but the risk of data corruption increases
Solution Approach 1:
The patent combines multiple data operations into a single atomic transaction. By embedding junction relationship data within the entity creation request and processing both operations simultaneously in one database transaction, the system eliminates the intermediate states and potential failure points that exist in multi-call sequences. This single-transaction approach ensures that either both operations succeed together or both fail together, preventing data corruption scenarios where one operation succeeds but the other fails.
3Adaptability or versatility
If separate junction tables are used, then many-to-many relationships can be managed, but the number of API calls and processing steps increases
Solution Approach 1:
The system merges the entity creation and relationship establishment operations into a single unified process. The entity creation request structure is enhanced to include embedded junction relationship data, allowing the client to specify both the new entity and its relationships in one request. This eliminates the need for separate API calls to create entities and then separately to establish relationships through junction tables, thereby simplifying the overall API protocol.
4Manufacturing precision
If conventional multi-step processes are used for creating entities and establishing relationships, then data can be validated, but transaction time increases
Solution Approach 1:
The patent combines data validation and relationship establishment into a single validation-then-transaction cycle. The system validates the entity definition and junction relationship data together before executing a single atomic database transaction that performs both creation and relationship establishment. This eliminates the sequential validation and execution steps required in multi-call processes, significantly reducing transaction processing time while maintaining validation accuracy.
Data Source
AI summary
Database clients submit junction data (such as invitees to a meeting or other event) at the same time that a new database entity is created. Junction data may be represented within a string array or other data structure that can be delivered using a SOAP, REST or similar protocol for delivering data to the computing server platform. By submitting junction data within the same structure that is used to create the new entity, the likelihood of phantom data or other corruption in the database is greatly reduced.