摘要
随着保险行业信息化规模的不断扩大,各垂直领域的业务数据越来越多,不可避免地给传统结构化数据库在存储和查询效率方面带来了巨大挑战。如何实现数据的冗余备份和快速、高效查询已成为企业信息技术的一大难题。本文提出一种基于ElasticSearch的车型分布式搜索引擎,同时结合Logstash进行数据收集,实现车型数据的过滤存储和索引,并为保险出单系统提供统一的查询入口和高效的检索服务。实践表明,该系统可实现数据的冗余备份并提高检索车型数据的效率,目前已经在保险行业核心系统得到实际应用,取得了较好效果。
With the continuous expansion of information technology in the insurance industry, more and more business data is available in vertical areas, which inevitably brings great challenges to the storage and query efficiency of traditional structured databases. How to realize data redundancy backup and fast and efficient query has become a major problem of enterprise information technology. This paper presents a distributed search engine based on ElasticSearch, which combines with Logstash to collect data. It can filter, store and index vehicle data, and provide a unified query entry and efficient retrieval service for insurance policy issuing system. Practice shows that the system can achieve redundant backup of data and improve the efficiency of retrieving vehicle data. At present, it has been applied in the core system of insurance industry and achieved good results.
作者
刘晓强
LIU Xiao-qiang(People's Insurance Company of China, Beijing 100080)
出处
《电脑与电信》
2019年第5期51-55,63,共6页
Computer & Telecommunication