Additional Notes
Why does backpressure in a Flux matter in this design?
Track: Java
Topic: Project Reactor
Focus: Project Reactor: Flux
Java: Project Reactor: Flux
Answer
Backpressure controls the rate of data flow in a Flux.
Backpressure is a mechanism to handle situations where the rate of data emission exceeds the rate at which the subscriber can consume data. This is crucial in systems processing live data feeds, such as stock price updates. The request(n) method allows the subscriber to specify the number of items it can handle, preventing data loss or overflow.
Backpressure is a mechanism to handle situations where the rate of data emission exceeds the rate at which the subscriber can consume data. This is crucial in systems processing live data feeds, such as stock price updates. The request(n) method allows the subscriber to specify the number of items it can handle, preventing data loss or overflow.
Topics: Java Project Reactor Project Reactor: Flux