A walkthrough of how to design a type-ahead/autocomplete system, as commonly asked in system design interviews. Covers key requirements (sub-100ms response time, relevance, ranked results), the trie data structure and its time complexity, a precomputation optimization that stores top-N suggestions at each prefix node in a prefix hash table, and a high-level architecture using API servers, load balancers, Redis/Cassandra clusters. Also briefly touches on incorporating user-specific search history and trending keywords into results.
•28m watch time
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