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This tutorial demonstrates how to use Redis' GEO data structure together with Docker, RedisInsight, and a NestJS backend to store location data, perform distance calculations and radius searches, and finally display nearby points on a web map using AMap and Axios.
This article explains Redis' GEO feature, covering its data structures, commands like GEOADD, GEOPOS, GEODIST, GEORADIUS, and GEORADIUSBYMEMBER, and demonstrates how to store, retrieve, and calculate distances for location‑based services with practical code examples and visual illustrations.
This article explores Redis beyond its traditional caching role, covering distributed locks, message queues, bitmaps, Bloom filters, geolocation, and rate limiting, while highlighting typical implementation patterns, code examples, and the inherent limitations of each scenario.