基于Web系统的大数据搜索技术的实现和优化
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引用本文:綦 慧,徐晓慧.基于Web系统的大数据搜索技术的实现和优化[J].计算技术与自动化,2021,(1):155-163
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綦 慧,徐晓慧 (北京工业大学 信息学部北京 100124) 
中文摘要:基于Web平台开发背景,提出了以Axios和Element-UI组件库为关键技术实现大数据的快速搜索。通过Axios技术跨域请求后台数据,将获得的数据保存在Web内存中。Web平台用户搜索组件界面通过Element-UI组件库搭建,将从后台获取到的数据渲染到Web界面中,根据KMP算法进行字符串匹配实现关键字搜索。在此基础上结合Vue技术栈自定义指令懒加载实现快速精准搜索。经实验表明该种基于Web系统的大数据搜索框架能够实现大数据的准确快速搜索。
中文关键词:大数据  搜索  Web系统  Axios技术
 
Realization and Optimization of Big Data Search Technology Based on Web System
Abstract:Based on the development background of Web platform, this paper proposes to realize fast search of big data with Axios and Element-Ui component library as key technologies.By using Axios technology to request background data across domains, the obtained data is stored in Web memory.The user search component interface of the Web platform is built through the element-ui component library, the data obtained from the background is rendered into the Web interface, and the keyword search is realized by string matching according to KMP algorithm.On this basis, Vue technology stack custom instruction lazy load to achieve fast and accurate search.Experiments show that the big data search framework based on Web system can realize accurate and fast search of big data.
keywords:big data  search  Web system  Axios
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