Large data volume loading optimization method and system based on Echarts map model

• Main Author: JEONG MAN-WAN
• Format: Patent
• Language: Chinese; English
• Published: 06.05.2022
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS

The invention discloses a large-data-volume loading optimization method and system based on an Echarts map model, and the method comprises the steps: partitioning data, dividing a large amount of data into a plurality of small amount of data, obtaining a graphic instance object, traversing the partitioned data, and carrying out the time-delay rendering of the data according to the rendering time needed by each data volume. According to the method and the device, the data are rendered, the rendered data are filled, and the graph is drawn, so that block rendering and loading rendering are carried out, drawing can be carried out without long waiting for all the data to be loaded, and the visual experience of a user is optimized. 本发明公开了基于Echarts地图模型大数据量的加载优化方法及系统，本发明通过将数据分块，将一份大量数据分成多份小量数据，然后获取图形实例对象，遍历分块后的数据，并且根据每块数据量所需要的渲染时间进行数据的延时渲染，并填充渲染后的数据，绘制图形，从而进行分块渲染，加载多少渲染多少，不需要漫长地等待所有数据加载完再进行绘制，优化用户视觉体验。