Intelligent Search System for Business Objects Based on Metadata

By constructing an intelligent search system for business objects based on metadata, decoupling business logic from physical storage, and generating physical execution statements adapted to different storage dialects, the system solves the performance degradation and access control problems of complex enterprise applications in existing technologies, achieving high-efficiency query performance and data isolation.

CN121681576BActive Publication Date: 2026-05-26JIANGSU XINYUAN RONXIN SOFTWARE TECH CO LTD
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Patent Information

Application Number
CN202610189749.8
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-02-10
Publication Date
2026-05-26
Estimated Expiration
2046-02-10

AI Technical Summary

Technical Problem

Existing search systems face challenges when dealing with complex enterprise applications and high-concurrency promotional scenarios. These challenges include high code refactoring costs due to data growth, performance degradation in multi-dialect environments, and access control difficulties in multi-tenant environments. Furthermore, the systems struggle to decouple business logic from physical storage, resulting in low maintenance efficiency and poor query performance.

Method used

Construct an intelligent search system for business objects based on metadata, including a context request parsing module, a logical structure construction module, a multi-dialect compilation and execution module, and an adaptive optimization feedback module. Decouple business logic from physical storage through metadata graphs, generate physical execution statements adapted to different storage dialects, and dynamically optimize indexing strategies.

Benefits of technology

It decouples business logic from physical storage in a heterogeneous data source environment, lowers the threshold for technology stack migration, optimizes the performance of complex queries, ensures second-level response capability and data isolation, prevents unauthorized access and performance jitter, and improves system maintenance efficiency and query performance.

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Abstract

This invention relates to the fields of computer data processing and database technology, specifically to an intelligent search system for business objects based on metadata. The system includes: a context request parsing module: receiving abstract search requests and extracting environment parameters and permission features to generate a dynamic context snapshot; a logical structure construction module: combining snapshot execution rule injection operations to generate a logical abstract syntax tree containing implicit filtering conditions; a multi-dialect compilation and execution module: translating the syntax tree into physical execution statements matching the target storage engine dialect according to physical mapping rules; and an adaptive optimization feedback module: monitoring execution latency data and dynamically correcting the index strategy definition. This invention solves the maintenance bottleneck caused by the tight coupling between business logic and physical storage in heterogeneous data source environments, achieving zero-code modification and hot deployment of business logic.
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