Database Query Interception via Default Mapping File
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Solution Overview
Problem
As data volumes increase, existing methods for splitting databases to improve query response times require extensive code modifications, leading to errors and poor user experience due to the complexity and instability of these modifications.
Innovation Solution
A data processing method that utilizes a default mapping file to intercept and parse database query requests, generating Structured Query Language (SQL) instructions to query corresponding datasheets without altering original codes, thereby reducing the need for manual code modifications and improving data processing efficiency and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If database splitting is performed to improve query response time, then data processing capacity is improved, but code complexity and error risk increase due to extensive code modifications
Solution Approach 1:
The patent introduces an interceptor as an intermediary component between the database query request and the actual data source. The interceptor automatically parses query requests, generates appropriate query instructions based on mapping files, and executes queries on split datasheets without requiring modifications to original application code. This intermediary layer resolves the contradiction by enabling database splitting while maintaining code simplicity.
Solution Approach 2:
The patent segments the database into multiple datasheets stored in different databases, allowing parallel query processing and improving overall data processing capacity. The mapping file also segments the correspondence between original database structures and split datasheet structures, enabling automated query routing without complex code changes.
2Speed
If database splitting is performed to reduce response time, then query speed is improved, but data accuracy deteriorates due to modification errors
Solution Approach 1:
The interceptor acts as a reliable intermediary that automatically generates query instructions based on pre-configured mapping files, eliminating manual code modification errors. The mapping file serves as a precise configuration document that defines the correspondence between original database structures and split datasheets, ensuring data accuracy is maintained while enabling fast query processing on segmented data.
3Adaptability or versatility
If manual code modification is used for database splitting, then data is divided into multiple datasheets, but maintenance difficulty increases due to extensive changes
Solution Approach 1:
The interceptor and mapping file together form a maintenance-friendly intermediary layer. When database splitting is needed, only the mapping file configuration needs to be updated, not the application code. This maintains data structure flexibility while dramatically improving code maintenance ease, as the core application logic remains unchanged.
4Productivity
If extensive code modifications are made for database splitting, then query capability is enhanced, but system stability deteriorates
Solution Approach 1:
The system is segmented into distinct components: the original application code, the interceptor layer, the mapping file configuration, and the split datasheets. This segmentation allows query processing capability to be enhanced through database splitting while maintaining system stability, as the original application code remains unchanged and the interceptor handles all adaptation logic.
Data Source
AI summary
A data processing method, a data processing device, and a non-volatile computer-readable storage medium are provided. The data processing method includes: setting a default mapping file; when a database query request is received, parsing through a default mapping file to generate a first query instruction; and querying a corresponding datasheet according to the first query instruction.