Report data processing method and system, electronic device, and computer program product
By defining data splitting rules and rendering priorities on the client side to guide server-side processing and performing pre-rendering processing on the client side, the load pressure problem during large-scale report data processing is solved, and processing efficiency is improved.
CN122174813APending Publication Date: 2026-06-09SHENZHEN JIUNIU YIMAO INTELLIGENT IOT TECH CO LTD
Patent Information
- Authority / Receiving Office
- CN Β· China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHENZHEN JIUNIU YIMAO INTELLIGENT IOT TECH CO LTD
- Filing Date
- 2026-01-23
- Publication Date
- 2026-06-09
AI Technical Summary
Technical Problem
Large-scale report data processing on the server side can lead to excessive load pressure and affect data processing efficiency.
Method used
The client determines the target data splitting rules and rendering priorities, and sends them to the server to guide the server's data splitting and sending. The client performs pre-rendering processing, including data cleaning, transformation, aggregation and calculation, to reduce the server load.
Benefits of technology
By migrating the pre-rendering processing to the client, the load on the server side was reduced, and the efficiency of report data processing was improved.
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Smart Images
Figure CN122174813A_ABST
Abstract
This application relates to the field of data processing, providing a report data processing method, system, electronic device, and computer program product. The method is applied to a client and includes: determining target data splitting rules and rendering priorities corresponding to multiple types of report source data; sending the target data splitting rules and rendering priorities corresponding to the multiple types of report source data to the server; obtaining the report data to be processed sent sequentially by the server according to the rendering priorities; performing pre-rendering processing on the report data to be processed to generate target report data; the pre-rendering processing includes data cleaning, data transformation, data aggregation, and data calculation; and performing report visualization rendering on the report display interface of the client based on the target report data. This solution can reduce the load pressure on the server in large-scale report data processing scenarios and improve the efficiency of report data processing.
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