Cross-Platform Task Execution With Preliminary Operation Validation
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Solution Overview
Problem
Current computing frameworks face challenges in managing the complexities of large data operations, leading to bottlenecks in data processing and storage, with a gap between code creation and execution, and a lack of effective validation of operations before execution, resulting in errors and inefficiencies.
Innovation Solution
A computing system performs preliminary validation of operations by checking compatibility with input data, constraints, and downstream processes, generating details of the validation, and transmitting these to the platform to ensure feasibility, thereby mitigating infeasible operations and reducing computing and storage costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If preliminary validation of operations is performed before execution, then errors and inefficiencies are reduced, but device complexity increases
Solution Approach 1:
The patent performs preliminary validation of data operations before execution by checking compatibility between operation schemas and data schemas. This advance validation identifies potential errors and incompatibilities before they occur during actual operation execution, thereby improving reliability without requiring complex runtime validation mechanisms.
Solution Approach 2:
The patent introduces a schema compatibility checking mechanism as an intermediary layer between operation definition and execution. This mediator validates whether operation schemas are compatible with data schemas and generates appropriate error messages, reducing the need for complex error handling during execution while improving overall system reliability.
2Manufacturing precision
If detailed validation checking is performed on operations, then manufacturing precision of data operations is improved, but loss of time increases
Solution Approach 1:
The patent performs selective validation by checking specific compatibility criteria between operation schemas and data schemas rather than进行全面 validation. The system checks essential compatibility conditions (such as data type matching, schema structure compatibility) while skipping redundant checks, thereby maintaining high precision in operation execution while minimizing time loss.
3Loss of information
If compatibility validation with downstream processes is performed, then loss of information is reduced, but device complexity increases
Solution Approach 1:
The patent extracts and validates only the essential compatibility information between operation schemas and data schemas, separating critical compatibility checks from non-essential validation. By focusing on extracting key compatibility attributes (such as data type compatibility, schema structure matching), the system prevents information loss while avoiding the complexity of comprehensive validation of all operation parameters.
Data Source
AI summary
Computing systems methods, and non-transitory storage media are provided for retrieving information regarding an operation to be performed by a platform, performing a preliminary validation of the operation, generating details regarding the preliminary validation, transmitting at least a subset of the details of the preliminary validation to the platform, and populating the generated details on an interface. If the preliminary validation fails, the platform refrains from performing the operation. Furthermore, the logic describing the operation can be executed on different platforms and is not bound or limited to one platform.