Quick study sessions to strengthen memory and retain key concepts.
Role of the Publisher in Reactive Streams?
The Publisher emits data to Subscribers. Frame the concept in practical terms so you can explain it during…
View Card →Consequences of blocking the event loop in a reactive system?
Blocking the event loop hinders scalability and responsiveness. In a reactive system, blocking the event loop can cause…
View Card →Why is flatMap() crucial for non-blocking I/O?
flatMap() enables non-blocking calls by returning a new reactive type. flatMap() is crucial in reactive programming for non-blocking…
View Card →Understanding map() vs flatMap() in Project Reactor?
map() is synchronous, flatMap() is asynchronous. In Project Reactor, map() transforms data synchronously within the same stream, while…
View Card →How can backpressure prevent overwhelming a Subscriber in Reactive Streams?
Backpressure allows Subscribers to request manageable data amounts. Backpressure helps control data flow between Publisher and Subscriber by…
View Card →What does the Publisher interface do in the Reactive Streams specification?
Publishes data to Subscribers. Frame the concept in practical terms so you can explain it during interview discussion.…
View Card →What design considerations should be made when transitioning from Spring MVC to WebFlux?
Consider non-blocking I/O and resource management. Transitioning to WebFlux involves adopting non-blocking I/O to leverage its full potential.…
View Card →How does flatMap() enhance parallelism in a reactive pipeline?
flatMap() allows concurrent execution of operations. flatMap() enables parallelism by allowing multiple asynchronous operations to run concurrently. This…
View Card →How would you explain a common mistake when using flatMap() in reactive streams in an interview?
Blocking inside flatMap() is a common mistake. A frequent error is using blocking calls inside flatMap(), which negates…
View Card →How would you explain the tradeoff of using flatMap() in a reactive pipeline in an interview?
Increased complexity but greater parallelism. Using flatMap() increases pipeline complexity due to its asynchronous nature, but it allows…
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