Structured Payload Restructuring With Conditional Field Requirements
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Solution Overview
Problem
Existing systems face inefficiencies in handling structured payloads due to varying payload sizes and resource utilization, leading to increased storage, bandwidth, and processing demands, and multiple schema variants complicate updates and implementation.
Innovation Solution
Implement an enhanced schema that specifies contingently-required fields, allowing a processor to dynamically add or remove fields based on conditions within the payload, using a single schema to optimize payload size and content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed schema is used for all structured payloads, then schema validation is simple, but payload size cannot be optimized based on actual content requirements
Solution Approach 1:
The patent applies dynamics by transitioning from a fixed schema to a dynamic schema that automatically adapts to payload content. The system evaluates payload values and dynamically determines which fields are required, allowing the schema to change based on actual data characteristics. This resolves the contradiction by maintaining validation simplicity through automated evaluation while optimizing payload size through conditional field inclusion.
Solution Approach 2:
The patent changes the parameter of schema rigidity from fixed to flexible. By introducing conditional logic that modifies schema requirements based on payload content parameters (such as whether a field contains null values or specific data types), the system achieves both simple validation mechanisms and optimized payload sizes. The schema parameters are dynamically adjusted rather than statically applied.
2Quantity of substance
If multiple schema variants are used to handle different payload structures, then payload optimization is achieved, but schema management complexity increases
Solution Approach 1:
The patent applies universality by creating a single schema that can handle multiple payload structures through conditional logic. Instead of maintaining separate schema variants for different scenarios, the system uses one universal schema with built-in evaluation logic that automatically selects appropriate field requirements based on payload content. This eliminates the need for multiple specialized schemas while achieving the same optimization benefits.
Solution Approach 2:
The patent merges multiple schema variants into a single unified schema by combining their conditional requirements into one comprehensive structure. The merged schema integrates evaluation logic for different scenarios (null values, data types, content presence) within a single document, reducing management complexity while preserving the payload optimization capabilities that would otherwise require multiple separate schemas.
3Reliability
If all fields are always included in structured payloads, then data completeness is ensured, but transmission and processing efficiency decrease
Solution Approach 1:
The patent extracts unnecessary fields from payloads by using conditional schema validation that identifies and excludes fields that are not required based on payload content. Instead of always including all possible fields, the system extracts only the essential fields needed for each specific scenario, maintaining data completeness for relevant information while removing redundant data that reduces transmission and processing efficiency.
Solution Approach 2:
The patent applies local quality by making field requirements specific to local conditions within the payload structure. Rather than applying uniform field inclusion rules throughout, the system evaluates each field's requirements based on local payload characteristics (such as whether parent fields exist, data types, or value contents). This ensures data completeness for locally relevant fields while excluding unnecessary fields elsewhere, optimizing overall efficiency.
Data Source
AI summary
Disclosed herein is a computer system and method for restructuring a structured payload for efficient downstream storage, transmission, and processing, in which a schema specifies fields including at least one contingently-required field. At least one processor is configured to: retrieve the schema and the structured payload from processor-readable memory; evaluate, for each contingently-required field in the schema, whether a respective condition in the schema is either satisfied or unsatisfied by content in the structured payload; responsive to a respective condition being satisfied, add the contingently-required field to a list of required fields; responsive to a respective condition being unsatisfied, add the contingently-required field to a list of removed fields; and generate a restructured payload by: adding to the structured payload all fields in the list of required fields that are missing; and removing from the structured payload all fields in the list of removed fields that are present.