Introduction to Reactive Programming

on YouTube ↗01h 28m

" summary

Defines a concrete interoperability contract (Reactive Streams) and shows real code: a naive publisher fails the Reactive Streams TCK, publisherFactory fixes recursion that crashes a naive run of 10,000 requests, and Reactor/RxJava provide composition with map/flatMap and backpressure. Demonstrates long.MAX_VALUE as unbounded demand, prefetch vs stop‑and‑wait strategies, hot vs cold sources, and that Java 9 adds a submissionPublisher in JDK9 bridge — useful if needing push‑style, nonblocking end‑to‑end pipelines.

AI-written summary · about

" chapters (5)

1. 0:00Introduction to speakers
2. 1:55Motivation for reactive programming
3. 27:44Reactive Streams specification
4. 55:29Composition APIs overview
5. 1:17:32Q&A and closing remarks

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