Reactive Streams – Page 12 – Sharp: NCLEX, Java & Python

Java: Backpressure Strategies

What makes the Event Loop non-blocking in Reactive Streams?

How does a Subscriber signal it can't keep up?

Why is backpressure crucial in Reactive Streams?

When is dropping old values an acceptable backpressure strategy?

Why is dropping order-confirmation events usually unsafe?

How does the request(n) method work in Reactive Streams?

What are the strategies for handling backpressure in Project Reactor?

How does the danger of blocking the Event Loop manifest in Reactive Streams?

How would you explain the mathematical basis for preventing buffer overflow in Reactive Streams in an interview?

Why is map preferred over flatMap for simple transformations in Project Reactor?