Image linkage method and device, equipment and storage medium

Abstract

The invention discloses an image linkage method and device, equipment and a storage medium, and the method comprises the steps: obtaining target data with a linkage relation from a rear-end database, and caching the target data locally, so as to obtain local data corresponding to the target data; and constructing a relational data model corresponding to the local data, and displaying the local data on a front-end page in the form of a plurality of images with a linkage relationship based on the relational data model. Visibly, the target data with the linkage relationship in the back-end database are locally cached, and then the cached local data are utilized to construct the relational data model, so that the plurality of images with the linkage relationship are generated and displayed on the front-end page, direct frequent data interaction with the back-end database is avoided, the response speed of the linkage image is improved, and quick linkage of the image is realized. Meanwhile, the method can adapt to multi-user large-data-volume frequent operation, the pressure of a back-end database is reduced, and high-performance operation of the database is ensured.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to an image linkage method, device, equipment and storage medium. Background technique [0002] At present, information of different dimensions may be displayed on different images. Modifying the same data will cause changes in multiple images. The linkage between them is generally to directly fetch data from the back-end database, interact frequently, and retrieve when there is a lot of data. It takes a long time, which can easily lead to image refresh delay and slow performance. Especially for production-oriented enterprises in production scheduling, Gantt charts are commonly used to manage information in multiple dimensions. When two Gantt charts are linked, one of the Gantt charts needs to save the data to the database, and the other Gantt chart retrieves data from the database and refreshes the page. When the amount of data is large, the database needs to be accessed...

AI Technical Summary

Problems solved by technology

When two Gantt charts are linked, one of the Gantt charts needs to save the data to the database, and the other Gantt chart retrieves data from the database and refreshes the page. When the amount of data is large, the database needs to be accessed frequently, and concurrent operations by multiple users will cause load The volume increases and the resource occupation is large, which leads to blocking and affects the performance of the database

In addition, when the user operates one of the Gantt charts, the other Gantt chart needs to be refreshed globally. When the amount of data is large, the page refresh is slow and the fluency is not enough

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