Additional Notes
How would you explain the danger of emitting more data than requested in an interview?
Track: Java
Topic: Reactive Streams
Focus: Publisher and Subscriber
Java: Publisher and Subscriber
Answer
It can overwhelm the Subscriber, leading to potential data loss or processing delays.
Emitting more data than the Subscriber has requested violates the backpressure principle, risking buffer overflow or data loss if the Subscriber cannot keep up. In a retail system, if a Publisher floods a Subscriber with price updates that exceed its capacity, the system might miss crucial changes or delay processing.
Emitting more data than the Subscriber has requested violates the backpressure principle, risking buffer overflow or data loss if the Subscriber cannot keep up. In a retail system, if a Publisher floods a Subscriber with price updates that exceed its capacity, the system might miss crucial changes or delay processing.
Topics: Java Publisher and Subscriber Reactive Streams