Data Transmission Segmentation for Complex Page Loading
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Solution Overview
Problem
Existing information transmission methods in big data technology face challenges in efficiently displaying complex pages due to lengthy data acquisition and transmission times, especially in poor network conditions, which affects user experience.
Innovation Solution
A method that involves parsing data requests to obtain identification information, acquiring a data set with data sources and time lengths, grouping data based on resources and time lengths, and sending the grouped data set to the client, allowing for parallel processing of time-consuming and non-time-consuming data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If data is transmitted from server to client in a serial process, then data transmission is simple to implement, but data transmission time is lengthened and user experience is degraded
Solution Approach 1:
The patent segments the data transmission process by dividing data into multiple groups based on different data sources and time lengths. Each group is transmitted separately to the client, allowing parallel processing and rendering. This segmentation resolves the contradiction by breaking the serial transmission into parallel streams, reducing total transmission time while maintaining manageable complexity through structured grouping.
Solution Approach 2:
The patent performs preliminary actions by pre-processing data on the server side before transmission. Specifically, it parses data requests to obtain identification information, acquires data sets with data sources and time lengths, and groups data based on these characteristics before sending to the client. This preliminary organization enables the client to efficiently process and render data in parallel, reducing transmission time without significantly increasing complexity.
2Loss of information
If complex pages with various data are displayed, then information completeness is improved, but page display time is lengthened due to data collection and processing requirements
Solution Approach 1:
The patent segments complex page data into multiple groups based on data sources and time lengths. Each group contains specific data elements that can be independently processed and rendered. This segmentation allows the client to display information progressively rather than waiting for all data to be collected, maintaining information completeness while significantly reducing page display time through parallel processing of data groups.
3Loss of information
If data is collected from different databases and upstream interfaces, then data completeness is improved, but data acquisition time is lengthened
Solution Approach 1:
The patent segments data collection by identifying different data sources (databases, upstream interfaces) and grouping data according to these sources and their respective time lengths. This segmentation enables parallel data acquisition from multiple sources simultaneously, maintaining data completeness while reducing total data acquisition time through concurrent operations rather than sequential collection.
Solution Approach 2:
The patent performs preliminary actions by pre-acquiring data from various sources and organizing it into structured groups before transmission. The server parses data requests to obtain identification information, acquires data sets with data sources and time lengths, and groups data based on these characteristics. This preliminary organization allows the client to efficiently process and display data without waiting for sequential data collection, reducing data acquisition time while maintaining completeness.
Data Source
AI summary
An information transmission method, system and apparatus are provided. The method comprises: in response to reception of a data request sent by a client, parsing content of the data request to obtain identification information corresponding to the data request; in response to the identification information being null, obtaining a first data set corresponding to the data request; dividing all pieces of data in the first data set on the basis of data resources of the pieces of data and data time lengths of the pieces of data to obtain a second data set corresponding to the first data set, the division indicating performing division of data request order on all the pieces of data in the first data set on the basis of the data time lengths; and sending the second data set to the client.