Code Room
System designHardsd-g349
Subject Search systemsLevel Senior–Staff~45 minCommon in Distributed systems interviewsIndustries Technology

Question

Design the caching layer for a search backend doing 80k QPS where a small set of head queries ('iphone', 'dress') is a huge fraction of traffic, but results are *personalized and freshness-sensitive*: the same query returns different results per user (their location, their LTR features) and results change as inventory/prices update. A naive whole-result cache is wrong (it'd serve one user's personalized list to another) and stale (prices move). What do you cache, at what layer, and how do you invalidate?

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.

Narrate your design
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Run or narrate your approach, then ask the coach.