backpressure

What problem does it solve?

This Skill addresses the critical challenge in reactive programming where a fast data producer can overwhelm a slow data consumer, leading to performance issues or crashes. It provides a clear understanding and implementation guide for Backpressure.

Core Features & Use Cases

• Backpressure Fundamentals: Explains the concept of Backpressure and contrasts Push vs. Pull models.
• request(n) Mechanism: Details how request(n) controls data flow and manages demand.
• Backpressure Strategies: Demonstrates implementations for Buffer, Drop Oldest, Drop Latest, Error, and Block strategies.
• Example Implementation: Provides a working ArrayPublisher with Backpressure handling.
• Use Case: Implementing a data processing pipeline where a network stream (fast producer) feeds data to a disk writer (slow consumer), ensuring the system remains stable and data is not lost.

Quick Start

Understand how to implement a BufferedSubscription to handle backpressure by requesting data only when the subscriber is ready.