Quasi Real-Time Distributed Search Engine Based on Massive Operation and Maintenance Data

Search engine is one of the effective tools to find the required information in the information ocean. To a certain extent, search engine is the information portal of the Internet, so it is of special significance to research and implement search engines. At the same time, search engines have important commercial value and application prospects both at home and around the world, and can facilitate the processing of massive operation and maintenance data for enterprises. Therefore, this paper studies the quasi real-time distributed search engine based on massive operation and maintenance data. This paper first explains the design goals of distributed search engines and the concepts related to real-time indexing, then designs distributed search engines, and finally evaluates and analyzes distributed search engines. The research results show that the distributed search engine has good search performance and high search accuracy.