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hardSystem Design

How would you design a distributed key-value store / query cache for search?

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01

Understand the problem

Design a KV query cache with sharding, TTL, thundering-herd and consistency controls for search.

query-cachedistributedkey-valuesearchredisconsistent-hashing
02

Attempt it yourself

Sketch your approach before reading the solution — that's what interviews test.

Nudge consolestandby

Stuck? Beam a request up — the console returns a conceptual nudge that guides your logic without spoiling the implementation.

03

Study the solution

Step 1: Use Cases, Constraints, Assumptions, Back-of-Envelope

Use cases

We'll scope to handle only the core flows that expose the bottlenecks; everything else is deferred.

  • User searches — GET /search?q=..., cache lookup by normalized query hash, hit returns in <20ms, miss fetches search tier.
  • **Servi

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04

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