Design a URL shortening service
OpenAISoftware Engineer · OnsiteLast updated
This problem tests your ability to design a distributed, high-scale URL shortening service, focusing on data modeling, collision-resistant ID generation, and performance optimization via caching.
Design a URL Shortening Service
Design a system similar to Bitly that converts long URLs into short, unique aliases (e.g., https://bit.ly/xyz123).
Requirements
- Functional:
- Users should be able to input a long URL and get a unique short URL.
- When a user visits the short URL, they should be redirected to the original long URL.
- Short URLs should be short, ideally 7 characters long.
- Non-Functional:
- High availability: The system must remain functional even if individual components fail.
- Low latency: Redirects must be fast (aim for > Creations).
- URLs will be stored permanently (no automatic expiration unless specified).
- You do not need to implement user accounts or analytics for this initial version.
Deliverables
- High-level architecture diagram (described in text).
- Database schema design and choice of storage technology.
- Strategy for generating unique, short identifiers at scale.
- Techniques to handle traffic spikes and caching strategies.
Hints
Hint 1
Consider the trade-offs between using a sequential counter versus a hash function (like MD5 or SHA-256) for generating short IDs.
Hint 2
Think about how to prevent the database from becoming a bottleneck during high-volume read traffic.
Hint 3
Discuss how you would handle data partitioning (sharding) once the dataset exceeds the capacity of a single database instance.
Follow-up questions
- How would you handle potential ID collisions if you chose a hashing strategy instead of a global counter?
- How would you modify the system to support URL expiration (e.g., delete links after 6 months of inactivity)?
- If the service becomes global, how would you design for low-latency redirects for users in different continents?
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