Going Reactive With Spring Data
summary
Claims that reactive access reduces memory and thread pressure by using backpressure and streaming, implemented with Flux and Mono from Project Reactor and Spring Data K repositories for MongoDB and Redis. Demo generates and saves entities into embedded MongoDB, exposes chunked JSON and server‑sent event streams, shows sharing a Flux to avoid duplicate DB cursors, and uses StepVerifier and WebClient for tests and consumption. The demo runs end to end but surfaces a MongoDB driver close exception.
AI-written summary · about
chapters (11)
- 0:00Start
- 1:17The next 40 Minutes
- 1:50A bit of recent history.
- 5:11Total Control
- 6:24Batching
- 13:56Reactive Applications with Spring
- 14:20Spring WebFlux
- 15:15Spring Data Reactive
- 17:31Reactive Repository
- 18:00Reactive Template (MongoDB)
- 18:36Reactive Streams MongoDB Java Driver
