Dragonfly's geospatial indexes leverage high-performance sorted sets, powered by B+ trees, to enable fast and efficient location queries, which are critical for applications like ride-sharing services. By using the Geohash encoding technique, Dragonfly converts two-dimensional geographic coordinates into a one-dimensional string that maintains spatial proximity, allowing it to effectively store and query geographic data as integer values in sorted sets. This approach provides precise and efficient handling of location-based queries by utilizing existing sorted set functionalities for range queries and ordered storage. The use of B+ trees in Dragonfly, as opposed to skiplists used by other systems like Redis, results in better memory efficiency, higher throughput, and consistent performance, even under heavy load. This architectural design allows Dragonfly to deliver low latency and high throughput for geospatial queries, demonstrating a sophisticated yet elegantly simple implementation of geospatial features built on robust foundational structures.