Скачать или смотреть How Instagram search works for 2 Billion users?

Searching through 2 billion users should take hours, but Instagram does it in milliseconds. ⚡ Here is the system design behind their lightning-fast search engine.

In this video: We break down the search infrastructure (likely powered by Meta's Unicorn engine): ✅ Indexing (The Dictionary): Instead of scanning every photo, Instagram builds an "Inverted Index." It maps keywords (like "Travel") to millions of Post IDs instantly.

✅ Sharding (Divide & Conquer): The index is too big for one server. It is split into thousands of "Shards" (pieces). When you search, a central "Aggregator" queries all shards at once and combines the results. ✅ Querying & Ranking: It doesn't just show any result. It ranks them based on Signals:

Affinity: Do you follow them?

Recency: Is it new?

Popularity: Is it viral?

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#SystemDesign #Instagram #SearchEngine #Sharding #Indexing #BackendDeveloper #UnicornEngine #Meta #SoftwareEngineering #Database #Coding #Programming #HighLevelDesign #elasticsearch

Tags:
Instagram System Design, Search Architecture, Sharding, Database Indexing, Inverted Index, Querying, Meta Unicorn, Backend Engineering, Scalability, High Availability, Software Engineering, System Design Interview, Distributed Systems, Search Ranking, Information Retrieval, Coding Interview, Tech Shorts, Big Data.