How to resolve performance lag when there are too many …
When there are too many nodes in an ECharts relationship graph, it may cause the page to lag or load slowly. To address this issue, you can consider the following methods:
- Pagination through data loading: dividing the data of numerous nodes into pages and only loading the data of the current page, reducing the pressure of loading a large amount of data at once.
- Data filtering: Select and display key nodes or nodes with high relevance based on requirements, reducing the loading and computation of irrelevant nodes.
- Zoom and pan feature: Utilizing the zoom and pan feature provided by echarts, users can actively select the area they want to view, reducing the strain on the page.
- Data preprocessing: preprocessing data, such as clustering nodes and merging similar nodes into groups before visualization.
- Utilizing Web Worker: echarts offers functionality that integrates with Web Worker, allowing tasks such as node computation and rendering to be offloaded to separate Web Worker threads, reducing the workload on the main thread.
- Hardware acceleration: Utilizing the hardware acceleration feature of CSS3, such as using the transform and opacity properties, can enhance the rendering performance of the page.
- Server-side rendering: If the data in the relationship chart is very large, consider using server-side rendering technology to calculate and draw the data on the server side, and then send the rendered graphics to the client for display.
By combining the above methods, the issue of lagging caused by a large number of nodes in echarts relationship diagram can be effectively resolved.
