Additional Notes
How does the Reactive Streams model handle backpressure?
Track: Java
Topic: Reactive Streams
Focus: WebFlux vs Virtual Threads
Java: WebFlux vs Virtual Threads
Answer
Backpressure is managed by controlling the flow of data from Publisher to Subscriber.
Backpressure occurs when a Subscriber cannot handle the speed at which the Publisher emits data. In Reactive Streams, the Subscriber can request a controlled amount of data with `request(n)`, ensuring the system doesn't overload. Imagine a slow-processing payment gateway; backpressure prevents it from being overwhelmed by too many transaction requests at once.
Backpressure occurs when a Subscriber cannot handle the speed at which the Publisher emits data. In Reactive Streams, the Subscriber can request a controlled amount of data with `request(n)`, ensuring the system doesn't overload. Imagine a slow-processing payment gateway; backpressure prevents it from being overwhelmed by too many transaction requests at once.
Topics: Java Reactive Streams WebFlux vs Virtual Threads