Visual cross-source data retrieval method based on application layer

Abstract

The invention discloses a visual cross-source data retrieval method based on an application layer, which is characterized in that data source configuration, chart display data configuration and visualchart configuration are sequentially set in a configuration management system, a request analysis result is packaged into an independent task and executed, and in the data retrieval system, the datais returned to the client system through data acquisition, data mapping and data analysis. A service system and a data statistics system are decoupled, the data statistics requirement in the daily production process can be met to a great extent while the service system is released, in addition, the data cross-source problem is solved to a certain extent, the system complexity caused by data statistics is reduced, and the effect of liberating a large amount of development manpower is achieved.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to a visual cross-source data retrieval method based on an application layer. Background technique [0002] In recent years, with the rapid development of Internet business and the rapid increase of Internet users, the Internet system has also been greatly developed. Facing the huge Internet system, if you want to analyze its user information in a unified manner, it will inevitably bring a lot of chart development work. However, the overly cumbersome charting work, on the one hand, brings a lot of manpower and material cost consumption; on the other hand, it often makes developers helpless in the face of multiple data source systems. [0003] In addition, for the same piece of data, different users have different observation perspectives and dimensions. It is obviously difficult for the traditional development model to control the variability of these user needs, such as Figur...

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Problems solved by technology

However, too cumbersome charting work, on the one hand, brings a lot of manpower and material cost consumption; on the other hand, in the face of multiple data source systems, developers are often helpless

[0003] In addition, for the same piece of data, different users have different observation perspectives and dimensions. It is obviously difficult for the traditional development model to control the variability of these user needs, such as Figure 4 As shown, a chart development involves the development of front-end components and back-end data encapsulation, which brings two problems: 1. Even if the same data needs to be rendered according to different dimensions, the front-end components need to be changed; 2. When the data needs to add a certain information, it is particularly complicated. From top to bottom, all systems and services need to be developed, and at the same time, it is necessary to solve the problems of data cross-source paging and association search

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