Additional Notes
How does backpressure control data flow?
Track: Java
Topic: Reactive Streams
Focus: Publisher and Subscriber
Java: Publisher and Subscriber
Answer
Backpressure allows Subscribers to control the rate of data flow from Publishers.
Backpressure is a key feature in Reactive Streams that prevents Subscribers from being overwhelmed by too much data. Subscribers request a specific number of items, and Publishers respect this demand. For example, a data analytics system might request a limited number of transaction records at a time to avoid overloading its processing capabilities.
Backpressure is a key feature in Reactive Streams that prevents Subscribers from being overwhelmed by too much data. Subscribers request a specific number of items, and Publishers respect this demand. For example, a data analytics system might request a limited number of transaction records at a time to avoid overloading its processing capabilities.
Topics: Java Publisher and Subscriber Reactive Streams