My Solution for Designing a Simple URL Shortening Service: A TinyURL Approach with Score: 9/10
by pinnacle6561
System requirements
Functional Requirements:
- Shortening URLs: Allow users to input long URLs and receive a shortened URL.
- Redirecting: Redirect users from the shortened URL to the original URL.
- Custom Aliases: Allow users to create custom aliases for their shortened URLs.
- Analytics: Provide analytics for each shortened URL, such as click counts and geographical locations.
- API Access: Provide a public API for creating and retrieving shortened URLs.
Non-Functional Requirements:
- Scalability: The system should handle a high volume of URL shortening requests and redirections.
- Performance: Redirections should be fast with minimal latency.
- Availability: The service should be highly available with minimal downtime.
- Security: Ensure that the service is secure and protected against misuse (e.g., spamming, malicious URLs).
- Reliability: The service should reliably store and retrieve URL mappings.
Capacity estimation
Daily Requests: Estimate of 10 million requests per day.
Storage: Assume 1 KB per URL mapping, storing 100 million URLs would require around 100 GB of storage.
Traffic: Peak traffic handling of 1000 requests per second.
API design
1. Create Short URL:
POST /api/shorten
{
"longUrl": "http://example.com/very/long/url",
"customAlias": "optional-custom-alias"
}
Response:
{
"shortUrl": "http://short.url/abcd1234"
}
2. Retrieve Original URL:
GET /api/original/:shortUrl
Response:
{
"longUrl": "http://example.com/very/long/url"
}
3. Get URL Analytics:
Database design
Entities:
- URL:
id
(PK)longUrl
(String)shortUrl
(String, Unique)customAlias
(String, Unique, Optional)createdAt
(DateTime)clicks
(Integer)
- Click:
id
(PK)shortUrl
(FK)timestamp
(DateTime)geoLocation
(String)
ER Diagram:
High-level design
Components:
- API Gateway: Handles all incoming requests.
- URL Shortening Service: Processes requests to shorten URLs and generate custom aliases.
- Redirection Service: Redirects users from shortened URLs to the original URLs.
- Database: Stores URL mappings and click data.
- Analytics Service: Collects and processes click data for analytics.
Request flows
Shortening URL:
- Client sends a POST request to the API Gateway with the long URL.
- The API Gateway forwards the request to the URL Shortening Service.
- The URL Shortening Service generates a short URL and stores it in the Database.
- The short URL is returned to the client.
Redirection:
- User clicks the short URL.
- The Redirection Service queries the Database for the long URL.
- The user is redirected to the long URL.
- Click data is recorded and sent to the Analytics Service.
sequenceDiagram
Client->>API Gateway: POST /shorten
API Gateway->>URL Shortening Service: Create short URL
URL Shortening Service->>Database: Store URL mapping
Database->>URL Shortening Service: URL stored
URL Shortening Service->>API Gateway: Short URL
API Gateway->>Client: Return short URL
User->>Redirection Service: Access short URL
Redirection Service->>Database: Get long URL
Database->>Redirection Service: Return long URL
Redirection Service->>User: Redirect to long URL
Redirection Service->>Analytics Service: Log click data
Detailed component design
1. URL Shortening Service:
- Hashing Algorithm: Uses a hashing algorithm to generate unique short URLs.
- Collision Handling: Check for collisions and regenerate the hash if necessary.
2. Redirection Service:
- Caching: Implement caching to speed up redirection times for frequently accessed URLs.
- Load Balancing: Distribute requests across multiple servers to handle high traffic.
3. Analytics Service:
- Real-time Processing: Collect click data in real-time for up-to-date analytics.
- Batch Processing: Process and aggregate click data periodically for detailed reports.
Trade offs/Tech choices
Hashing vs. Sequential IDs: Hashing provides better distribution but might have collisions; sequential IDs are simple but predictable.
SQL vs. NoSQL: SQL provides strong consistency; NoSQL provides better scalability.
Failure scenarios/bottlenecks
Database Failures: Use replication and backups to prevent data loss.
Service Downtime: Implement auto-scaling and load balancing to handle traffic spikes.
Data Corruption: Regular data integrity checks and audits.
Future improvements
Custom Domains: Allow users to use their own domains for short URLs.
Enhanced Security: Implement features like rate limiting and URL validation.
Advanced Analytics: Provide more detailed analytics, such as user agent and referrer tracking.