In recent years, with the rise of shared bicycles, shared vehicles and other moving objects, how to quickly find nearby objects has gradually become an urgent problem for people to travel. Aiming at the characteristics of fast, real-time and large data volume, this paper proposes a massive data real-time processing system based on Spark Streaming. The massive data generated in real time is sent to the Kafka cluster through the Flume NG cluster. The Spark platform analyzes the data in Kafka in real time, and saves the processed data to redis through our improved parallelized Google S2 algorithm...
