Database Instruction Generation via Dynamic Language Selection
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Solution Overview
Problem
The complexity of database software and languages makes it challenging for individuals to generate instructions for database tasks, especially when dealing with dynamic and changing processing environments, as they need to navigate through various database languages and resources without comprehensive understanding.
Innovation Solution
A computer-program product and method that automatically determines the appropriate database languages to use based on the processing environment of the source device, selecting languages that optimize resource usage and performance by considering factors like available database routines, storage, and processing capacity, thereby generating task instructions that can be executed efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If database software and languages are made more complex to handle dynamic processing environments, then the system's adaptability improves, but the difficulty of generating instructions increases
Solution Approach 1:
The patent introduces an intermediary system that automatically generates database instructions by mediating between the user's high-level task specifications and the complex database processing environment. This intermediary translates user intent into appropriate database languages and commands, eliminating the need for users to directly navigate complex database languages while maintaining adaptability to dynamic environments through automated environment detection and language selection.
2Adaptability or versatility
If multiple database languages are supported to optimize resource usage, then the system's versatility improves, but the device complexity increases
Solution Approach 1:
The patent dynamically changes the parameter of database language selection based on the detected processing environment. The system automatically detects the database management system type, version, and available resources, then selects the most appropriate database language from multiple supported languages. This parameter change approach allows the system to maintain versatility across different database environments while keeping the instruction generation logic manageable through automated environment-based decision-making.
3Ease of operation
If automatic language selection is implemented to improve ease of operation, then the ease of generating instructions improves, but the extent of automation increases system complexity
Solution Approach 1:
The patent implements a self-service mechanism where the system automatically detects the database processing environment and selects the appropriate language without requiring user intervention. The system queries the database environment to identify the database management system type and version, then autonomously selects the most suitable database language from its supported languages. This self-service approach improves ease of operation by completely eliminating manual language selection while managing automation complexity through straightforward environment detection and language matching logic.
Data Source
AI summary
An apparatus includes a task selector to receive an indication of a database task to be performed, wherein the database task includes a set of subtasks; a source selector to receive an indication of a source device to perform the set of subtasks, and to retrieve from the source device an indication of a processing environment currently available within the source device that includes an identity and version level of a database routine of the source device; and an instruction generator to determine a set of languages able to be interpreted by the database routine based on the identity and version level, select a language of the set of languages in which to generate instructions for each subtask based on the processing environment, and generate and transmit the instructions to the source device.