Backpressure and Error Handling in Reactive Streams
Master how Reactor manages fast producers and slow consumers, and how to handle errors gracefully in reactive pipelines.
The Fast Producer Problem
In reactive systems a producer may emit data faster than a consumer can process it. Without control this overwhelms memory. Backpressure is the mechanism that solves this.
What Is Backpressure?
Backpressure lets the consumer signal how much data it can handle. The producer respects this demand, sending only what was requested.
All lessons in this course
- Introduction to Reactive Programming
- Spring WebFlux & Reactor Core
- Reactive Data Access & Integration
- Backpressure and Error Handling in Reactive Streams