Design And Implementation Of User Behavior Log System Based On Big Data

Aiming at the user behavior log,a design scheme of user behavior log system based on big data is proposed.Based on the company's existing framework,the program reorganizes the user behavior log collection system,and puts forward high reliability and high availability design requirements.The Flume framework is used to collect user behavior log data in real time.By writing ETL interceptors and Type interceptors,the log data is filtered.By optimizing parameter configuration,multi-thread log collection is realized,and the reliability and practicability of the log collection system are improved.The Kafka framework is used to transmit logs in real time.By optimizing the producer side,broker side,and consumer side,the precise primary semantics of message transmission are realized,and the system's message transmission and storage are more stable and efficient.Using Hive to build a data warehouse to build a data warehouse in layers,and analyze the relevant indicators of user topics to provide support for system decisions.The realization of the data visualization module provides a convenient and accurate visualization service for system developers.