import reactor.core.publisher.Flux

Reactive programming is about data streams and the propagation of change, focusing on asynchronous and event-driven systems. Functional programming emphasizes pure functions, immutability, and the use of functions as first-class citizens. Reactive programming focuses on asynchronous data streams and how they propagate changes, while functional programming emphasizes immutability and the use of first-class functions.

In the world of modern application development, the ability to handle asynchronous data streams efficiently is critical. Reactive Streams provide a powerful approach to managing this, and Project Reactor, a library for building non-blocking applications on the JVM, is at the forefront of this paradigm. This article will delve into the concepts of Reactive Streams, explore Project Reactor in depth, and provide practical examples to help you harness the power of asynchronous data streams in Java.

★ 何谓R2DBC R2DBC 就是 JDBC 的 反应式版本， R2DBC 是 JDBC 的升级版。 R2DBC 是 Reactive Relational Database Connectivity (关系型数据库的响应式连接) 的缩写 反应式的就是类似于消息发布者和订阅者，有消息就进行推送。R2DBC中DAO接口中方法的返回值是 Flux 或 Mono 因此，反应式的 R2DBC ，是不存在 【分页】 这种情况的。 JDBC 或者 R2DBC 都是用来对数据库进行操作的 ★ Spring R2DBC Spring Data 为 JDBC 提供了 Spring Data JDBC 项目，为 R2DBC 则提供了 Spring Data R2DBC 项目。 早期Spring项目并未包含Spring R2DBC模块，而是由Spring Data R2DBC项目来提供Spring R2DBC功能。 从Spring 5.3开始，R2DBC才从Spring Data R2DBC中分离成Spring的Spring R2DBC模块。 从Spring 5.3开始，...