Code Room
System designHard
Question
Design the storage and sharding for a social graph database backing a 'people you may know' / friends-of-friends feature, with 1 billion users averaging 300 connections (some celebrities have 50M), serving 80k graph traversals/sec that walk 2–3 hops. How do you store the adjacency data, shard the graph, and keep 2-hop traversals fast despite supernodes that span many shards?
What a strong answer looks like
Clarify scale and constraints first. Propose a clean component breakdown, then go deep on the hard parts — data model, bottlenecks, consistency, failure modes — and name the trade-offs you are making.
Learn the concepts
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