一种数据查询方法、装置、电子设备及存储介质

By constructing a multidimensional data model and introducing the StarRocks distributed database, the problems of low data query efficiency and insufficient reusability of API interfaces in the banking and financial industries were solved, achieving efficient and low-cost data querying and reducing system coupling and query overhead.

CN117056348BActive Publication Date: 2026-07-17PING AN BANK CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
PING AN BANK CO LTD
Filing Date
2023-08-15
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing API interfaces in the banking and financial industry suffer from poor reusability, high single-table overhead, low efficiency, inability to customize data processing, and risk of exposing internal tables, increasing system coupling and query overhead.

Method used

By constructing a multidimensional data model, performing multi-threaded concatenation and caching, we can achieve validation of input parameter requests and data aggregation. We also use the StarRocks distributed database to improve data query efficiency and introduce quick tables and dimension fields to reduce query dependencies.

Benefits of technology

It enables efficient data querying, reduces dependence on databases, improves reusability and query efficiency, reduces costs, and enhances the timeliness and real-time nature of data queries.

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Abstract

本申请实施例提供一种数据查询方法、装置、电子设备及存储介质,其中,该方法包括:获取入参请求;对所述入参请求中的参数进行校验,得到校验指标;根据所述校验指标构建多维数据模型;根据所述多维数据模型进行模型配置,得到模型数据;对所述模型数据进行多线程拼接,得到查询结果。实施本申请实施例,可以实现高效的数据查询,不会暴露系统内部的参数字段,并且支持对大数据量的数据查询,能够减少项目代码对数据库的依赖性,提高复用性,节约成本。
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