Quick study sessions to strengthen memory and retain key concepts.
Mono vs. Flux: What's the Difference?
Mono is for single items, Flux is for multiple. Mono and Flux are both reactive types in Project…
View Card →Non-blocking Database Calls with Mono?
Return Mono immediately without blocking. Frame the concept in practical terms so you can explain it during interview…
View Card →Understanding Mono in Reactive Streams?
Mono represents a single asynchronous result or none. In Project Reactor, a Mono is a reactive type used…
View Card →How does Flux manage real-time data streams without causing memory issues?
Flux processes data asynchronously and applies backpressure to manage flow. Flux represents a potentially unbounded sequence of asynchronous…
View Card →How can you simulate an infinite stream with Flux?
Use generate() or interval() to create an infinite stream. Flux can simulate infinite streams using methods like generate()…
View Card →How does WebFlux compare to Virtual Threads for handling concurrency?
WebFlux uses non-blocking I/O, while Virtual Threads simplify concurrency. WebFlux is designed for asynchronous, non-blocking operations, ideal for…
View Card →What role does the Subscriber interface play in Reactive Streams?
Subscriber defines how data is consumed from a Publisher. The Subscriber interface receives data, manages backpressure, and handles…
View Card →Why does the difference between map and flatMap in Flux matter in practice?
map transforms items directly, flatMap flattens asynchronous sequences. The map operator applies a synchronous transformation to each item,…
View Card →What are the dangers of blocking the Event Loop in WebFlux?
Blocking the Event Loop can cause performance bottlenecks. In a non-blocking reactive system, the Event Loop is designed…
View Card →How does backpressure work in a Flux?
Backpressure controls the rate of data consumption in a Flux. Backpressure allows a subscriber to request data at…
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