A database metadata loading optimization method, device, equipment and medium

CN122309476APending Publication Date: 2026-06-30AISINO CORPORATION

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
AISINO CORPORATION
Filing Date
2024-12-27
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing technologies suffer from performance issues when loading database metadata, especially when there are many tables in the database, and cannot efficiently load metadata.

Method used

When the target service program starts, it queries the database table names related to the business and generates virtual column information based on the entity object information, combining them into database metadata to avoid directly querying column information from the database.

Benefits of technology

It improves the performance of metadata loading, adapts to different types of databases, and eliminates the need to specify the data source using annotations.

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Abstract

This disclosure relates to a method, apparatus, device, and medium for optimizing database metadata loading. The method includes: when a target service program related to the database starts, querying the database table names related to the target service program's business; generating virtual column information based on entity object information related to the target service program's business; combining the database table names and the virtual column information to form database metadata related to the target service program's business, and loading the database metadata. This disclosure only requires querying the database table names related to the target service program's business, generating virtual column information through relevant entity object information, and combining the database table names and virtual column information to obtain the database metadata. It eliminates the need to query the fields of columns in the database tables to obtain metadata, thus significantly improving the performance of metadata loading.
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