计算机科学 ›› 2021, Vol. 48 ›› Issue (3): 119-123.doi: 10.11896/jsjkx.200600038
鄂海红, 张田宇, 宋美娜
E Hai-hong, ZHANG Tian-yu, SONG Mei-na
摘要： 在数据可视化场景中,Web页面作为数据可视化图表的承载主体,其性能的好坏直接影响可视化图表的加载速度和渲染效果,而目前基于Web技术的优化手段不能很好地缓解图表获取大规模复杂数据并进行渲染重绘所造成的网络数据传输压力。针对上述问题,提出了一种基于Web的数据可视化图表渲染方法。首先,将缓存机制与增量更新算法相融合,并从图表样式及交互配置信息和图表绑定数据两个方面对HTTP请求响应体进行深度优化。然后,通过减小HTTP请求响应体的大小来降低网络数据传输量,缩短数据资源的下载时间,进而提升图表加载速度,缩短页面渲染时长。最后,针对该方法进行充分的对比实验,实验结果表明,单个图表HTTP的总响应时间由75 ms缩短至28 ms,Web页面展示多个图表的总渲染时长由1 546 ms缩短至1 337 ms,从而验证了该方法的有效性。
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