Graphical Query Builder for Database Data Retrieval
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Solution Overview
Problem
Users unfamiliar with writing program code for data structure queries face challenges in generating queries for databases, as they need to navigate scattered data across multiple databases, which can be complex and require technical expertise.
Innovation Solution
A graphical data structure query builder application allows users to create and manage queries visually without writing program code, enabling them to build, store, and retrieve queries based on categorized data, facilitating easier data retrieval and manipulation across multiple databases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users write program code for database queries manually, then query precision and control are improved, but ease of operation deteriorates due to requiring programming expertise
Solution Approach 1:
The patent introduces a graphical query builder as an intermediary tool between the user and the database system. This visual interface allows users to construct queries through drag-and-drop operations and visual elements rather than writing code, while still generating precise SQL queries. The graphical interface acts as a mediator that translates user-friendly visual operations into accurate database queries, resolving the contradiction between ease of operation and query precision.
2Quantity of substance
If data is scattered across multiple databases, then data completeness is improved, but device complexity increases due to needing to navigate multiple data sources
Solution Approach 1:
The graphical query builder implements a universal interface that can connect to and query multiple different database sources simultaneously. The system provides multi-functionality by enabling users to work with scattered data across various databases through a single unified visual platform, eliminating the need for separate tools for each database and reducing overall system complexity.
Solution Approach 2:
The graphical query builder serves as an intermediary layer that abstracts the complexity of navigating multiple database sources. It provides a unified visual interface that handles the intricacies of connecting to different databases, managing data sources, and coordinating queries across multiple systems, thereby reducing the perceived complexity for users while maintaining access to complete scattered data.
3Ease of operation
If graphical query builders are used, then ease of operation is improved, but manufacturing precision may deteriorate due to automated query generation
Solution Approach 1:
The graphical query builder implements feedback mechanisms that allow users to review, validate, and modify the automatically generated queries. The system provides visual feedback about the constructed query logic and allows users to adjust parameters before final execution, ensuring that the automated query generation maintains high accuracy while preserving ease of operation.
Data Source
AI summary
A system may determine metadata information associated with data included in a data structure. The system may identify a category, associated with the data, based on the metadata information. The system may present, for display, a user interface that allows a user to build a graphical query based on the category. The graphical query may include a user-defined visual representation of a data structure query associated with the data. The system may receive information associated with the graphical query based on presenting the user interface. The information associated with the graphical query may be received based on input provided via the user interface, and may include information associated with the category. The system may provide the information associated with the graphical query.