Additional Notes
What role does backpressure play in Reactive Streams?
Track: Java
Topic: Project Reactor
Focus: Functional Pipelines (flatMap)
Java: Functional Pipelines (flatMap)
Answer
Backpressure helps manage the data rate between Publisher and Subscriber.
Backpressure is vital in Reactive Streams to prevent overwhelming the Subscriber with too much data at once. It allows the Subscriber to request a specific number of items it can handle at a time, ensuring stability. For example, a slow database query should not flood the client with results it can't process in real-time.
Backpressure is vital in Reactive Streams to prevent overwhelming the Subscriber with too much data at once. It allows the Subscriber to request a specific number of items it can handle at a time, ensuring stability. For example, a slow database query should not flood the client with results it can't process in real-time.
Topics: Functional Pipelines (flatMap) Java Project Reactor