Spring WebFlux is Spring's reactive web framework designed for building non-blocking and event-driven applications that can efficiently handle a large number of concurrent requests using a small number of threads.
Key Points: • Spring WebFlux uses non-blocking I/O to improve scalability and resource utilization. • Reactive types such as Mono and Flux represent asynchronous streams of data. • Reactive repositories and drivers ensure end-to-end non-blocking communication.
Example: Consider a stock market application receiving thousands of requests per second.
Traditional Blocking Approach:
Request 1 → Thread 1 → Waiting for Database Request 2 → Thread 2 → Waiting for Database Request 3 → Thread 3 → Waiting for Database
Result: • Large number of threads required. • Increased memory consumption. • Reduced scalability.
Reactive Approach with WebFlux:
Request 1 Request 2 Request 3 ↓ Event Loop Threads ↓ Non-Blocking Processing ↓ Database Response ↓ Return Result
Result: • Fewer threads. • Better CPU utilization. • Higher throughput.
Code Example:
@RestController
@RequestMapping("/products")
public class ProductController {
@GetMapping("/{id}")
public Mono<Product> getProduct(
@PathVariable Long id) {return productService
.findById(id);
}
@GetMapping
public Flux<Product> getAllProducts() {return productService
.findAll();
}
}Explanation:
Mono<T> • Represents zero or one result.
Examples: • Fetch user by ID. • Retrieve a single order.
Flux<T> • Represents zero to many results.
Examples: • Product list. • Transaction history. • Live event streams.
Reactive Data Access:
Use:
ReactiveCrudRepository
Example:
public interface ProductRepository extends ReactiveCrudRepository
<Product, Long> {
}This ensures database operations remain non-blocking.
Supported Reactive Databases:
• MongoDB Reactive Driver • R2DBC • Cassandra Reactive Driver • Redis Reactive Driver
Dependency Required:
spring-boot-starter-webflux
Embedded Server Options:
• Netty (default) • Undertow • Servlet Containers with adapters
Advantages of WebFlux:
• Handles thousands of concurrent requests. • Lower memory usage. • Improved scalability. • Better performance for I/O intensive applications.
Ideal Use Cases:
• Streaming APIs • Chat Applications • Notification Systems • IoT Platforms • Real-Time Dashboards • Microservices Communication
When Not to Use WebFlux:
• CPU-intensive processing. • Traditional blocking database drivers. • Small applications with low concurrency requirements.
Real-World Example:
Live Stock Trading Platform:
Market Updates ↓ WebFlux API ↓ Reactive Database ↓ Thousands of Concurrent Clients
The application can process massive traffic using minimal resources.
Interview Tip: A concise interview answer is: To build a non-blocking REST API in Spring Boot, I would use Spring WebFlux with spring-boot-starter-webflux, return Mono and Flux from controller methods, use reactive repositories such as ReactiveCrudRepository, and leverage Netty's event-driven architecture to efficiently handle a high volume of concurrent requests with fewer threads and better scalability.