数据处理方法、装置、设备、可读介质及软件产品
By generating structured query templates, the problems of high debugging costs and low efficiency of data query languages are solved, enabling non-professional data analysts to perform self-service multi-dimensional cross-analysis, reducing the configuration time of data query languages and improving debugging efficiency.
CN116401140BActive Publication Date: 2026-07-17ZHEJIANG CAINIAO SUPPLY CHAIN MANAGEMENT CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ZHEJIANG CAINIAO SUPPLY CHAIN MANAGEMENT CO LTD
- Filing Date
- 2021-12-28
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Existing technologies suffer from high debugging costs and low efficiency in data query languages, making it difficult for non-professional data analysts to perform multi-dimensional cross-analysis independently.
Method used
By acquiring indicator information and data query templates, the system outputs initial indicator column information, adjusts it to target indicator column information, and generates a structured query template that supports multi-dimensional cross-analysis.
Benefits of technology
It effectively shortens the configuration time of the data query language, reduces debugging costs, improves debugging efficiency, and enables non-professional data analysts to perform data analysis independently.
✦ Generated by Eureka AI based on patent content.
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Abstract
本申请实施例提供了一种数据处理方法、装置、设备、可读介质及软件产品，所述方法包括：在数据查询的过程中，尤其是在配置结构化查询模板的过程中，可以通过获取指标信息以及数据查询模板，接着可以根据指标信息与数据查询模板，输出初始指标列信息，通过解析出指标列信息，使得研发人员能够了解指标信息所对应的查询内容，接着可以对初始指标列信息进行配置，将初始指标列信息调整为目标指标列信息，通过对指标列信息进行调整，实现在模板中更加清楚地描述指标的信息，然后将目标指标列信息添加至数据查询模板中，更新查询模板，生成结构化查询模板，使得数据分析人员可以通过该结构化查询模板进行数据查询。
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