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System Design of Doordash: Geo-Hashing and WebSockets for Location Based Services

We go through a popular interview question: Design Doordash. The system design of Doordash (similar to Swiggy and Zomato in India) involves matching food orders to riders. A rider has to be selected based on their location proximity to the restaurant (since the time taken to deliver a order from restaurant to customer wont change on rider). For this, we shard geographical locations using hashes, known as Geo-Hashing. An area can be recursively broken down using a geo hash. Riders within a goehash region can be asked to pick an order on demand. Tracking a delivery is done using server-side events or WebSockets. I suggested the idea of WebRTC for this, but it seems like overkill. Let me know your thoughts :D Jordan's YouTube Channel: ‪@jordanhasnolife5163‬ Location-based databases:    • Designing a location database: QuadTr...   System Design Website: https://interviewready.io 00:00 Intro 01:35 Functional Requirements 02:50 Capacity Estimations 06:45 API Endpoints 08:10 Data Sources 11:30 Onboarding a restaurant 12:20 GeoHashes 23:20 Driver Updates 27:00 Data Consistency 28:30 Consistent Hashing 36:40 Optimizing Deliveries 40:20 Delivery Tracking 44:44 WebRTC 46:18 Concluding thoughts You can follow me at: Github: https://github.com/coding-parrot/ Instagram:   / applepie404   LinkedIn:   / gaurav-sen-56b6a941   Quora: https://www.quora.com/profile/Gaurav-... Twitter:   / gkcs_   #SystemDesign #InterviewReady #Coding