云平台数据库搜索引擎的实现方法

Implementation Method of Cloud Platform Database Search Engine

如今电子商务信息化得到很大程度提升,尤其在这个网络高度发达的时代,信息的收集和整理显得十分重要,对于电子商务来说,其未来最有可能的业务模式是与搜索服务结合起来。这种业务模式带来的海量信息数据,利用传统的数据库管理模式已经不能满足我们的需求,如今存在的主要不足为信息单点、搜索效率低下,同时搜索准确率得不到有效的保证,进而不能满足互联网搜索的基本需求,这也是现在很多研究人员十分关注的一个话题。为此,本文对云平台数据搜索相关问题展开研究,设计面向云平台数据搜索的基本结构,进而使得数据库的搜索方式应用于HBase系统内,提升整体查询搜索的性能,使得我们对信息搜索的效率大幅度提升。同时,本文还设计了数据的预处理方案,能够简化关系类型数据与HBase分布式数据之间的交互技术和算法。分析基于编辑距离和矢量数据的算法搜索评价机制,利用关键字之间具有相似部分判断用户的类似数据,大大提升用户搜索效率。

Nowadays electronic commerce information has been greatly improve, especially in the era of the network is highly developed, information collection and finishing is very important, for the electronic commerce, the future of the most possible business model is combined with the search service. Bring the business model of mass data, the traditional database management model has been unable to meet our needs, the main problems that exist today for information of single point and low search efficiency while searching accuracy is not effectively guaranteed, and can not meet the Internet search of basic needs,which is now many researchers are very concerned about a topic. Therefore, this article on the cloud platform data search related issues research, basic structure of cloud data search platform oriented design, thus making the application of database search method in HBase system, enhance the overall query performance of search, allows us to enhance the information searching efficiency greatly. At the same time, this paper designs the data preprocessing scheme, which can simplify the interaction between the relational data and HBase distributed data. Analysis based on edit distance and vector data of the algorithm search evaluation mechanism, the use of key words with similar parts to determine the user's similar data, greatly enhance the users' search efficiency.