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Design searchable status & geolocation services

Last updated: Mar 29, 2026

Quick Overview

This question evaluates system-design skills for building scalable, low-latency full-text and geolocation search services, covering data modeling, indexing strategies, query processing, ranking, and trade-offs around freshness, consistency, and availability.

  • hard
  • Meta
  • System Design
  • Software Engineer

Design searchable status & geolocation services

Company: Meta

Role: Software Engineer

Category: System Design

Difficulty: hard

Interview Round: Onsite

##### Question Design a service where users post short status updates that can be searched, including full-text search over historical data. Design a geolocation-based search system for nearby results.

Quick Answer: This question evaluates system-design skills for building scalable, low-latency full-text and geolocation search services, covering data modeling, indexing strategies, query processing, ranking, and trade-offs around freshness, consistency, and availability.

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Meta
Jul 29, 2025, 8:05 AM
Software Engineer
Onsite
System Design
6
0

System Design: Searchable Short-Form Status Updates with Nearby Search

Context

Design a microblogging service where users post short text updates (think: "statuses"). Users must be able to search:

  • Full-text across historical posts (e.g., keyword search, filters by time/language).
  • Geolocation-based "nearby" results (e.g., find posts within a radius from a location, sorted by distance and/or recency).

Assume internet-scale usage with high read and write throughput and global users.

Requirements

  1. Functional
    • Users can create, edit, and delete short text posts (e.g., up to 280 characters), optionally with a location (lat, lon).
    • Public search: keyword queries across all public posts; filters for time range, language, and presence of geolocation.
    • Nearby search: given (lat, lon) and radius, return relevant posts near that location, supporting sort by distance and/or recency.
    • Respect privacy/visibility (e.g., public vs restricted); search should only show authorized content.
  2. Non-Functional
    • Low latency: p50 < 200 ms, p95 < 500 ms for typical searches; writes < 150 ms.
    • Freshness: new posts searchable within seconds (near real-time indexing).
    • High availability and horizontal scalability; multi-region read latency optimization.
    • Cost-effective historical search (tiered storage for older data).

What to Design

  • High-level architecture (write path, index pipeline, search path).
  • Data model and storage choices for posts and indexes.
  • Full-text indexing and query processing (tokenization, ranking, pagination).
  • Geolocation indexing and query execution for nearby search.
  • Scaling/sharding strategies, caching, and consistency/freshness trade-offs.
  • Handling edits/deletes, privacy filtering, and operational considerations (monitoring, reindexing).

Solution

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