An analysis storage search method for WiFi log data

The invention belongs to the technical field of computer information, and provides an analysis storage search method for WiFi log data, which comprises the following steps of: (1) extracting a date, time, a host IP, an event type, a message type, a message code, an event code, a router address and a router IP for analyzing a WiFi log; (2) storing the analyzed data in a MongoDB distributed file storage database in the form of key value pairs; (3) opening a Logstash pipeline to copy the MongoDB database to an Elasticsearch engine for searching; And (4) exporting the data of the MongoDB databaseas a binary JSON file according to the transaction integrity, and loading the binary JSON file to the Hadoop platform. According to the method, the WiFi log data can be effectively analyzed and stored, and meanwhile the searching efficiency and the offline computing efficiency are improved. 本发明属于计算机信息技术领域，提供一种面向WiFi日志数据的解析存储搜索方法，包括：(1)提取解析WiFi日志的日期、时间、宿主IP、事件类型、消息类型、消息码、事件码、路由器地址和路由器IP；(2)将解析的数据以键值对的形式保存至MongoDB分布式文件存储数据库