![]() Nevertheless, Kotlin Coroutines provides a simple and intuitive programming model for writing non-blocking code, but in an imperative and sequential style. It is based on the Reactive Streams specification, and it provides a Reactive API with types as Mono or Flux to encapsulate a stream of values that is asynchronously computed. Reactor is the fully non-blocking library of choice for Spring Reactive Web (WebFlux). In the context of the Spring framework, Spring WebFlux is a reactive web module that allows developers to build reactive web applications inside the Spring ecosystem. Reactive programming is a programming paradigm that handles asynchronous data streams and events by using data flows and propagation of change. They allow you to write code that is easy to read and understand while still being efficient and non-blocking. On the other hand, Kotlin Coroutines is a tool for writing asynchronous and non-blocking code. This can help improve an application’s performance, especially when dealing with IO-bound tasks such as database accesses and high concurrency. On the one hand, Spring Data R2DBC is a tool that allows developers to access databases using a reactive programming model. In this blog post, we explore the different options for handling non-blocking database accesses with these two powerful tools inside a reactive stack to write an end-to-end feature using Spring WebFlux, Kotlin Coroutines, and Spring Data R2DBC. Combining both Spring Data R2DBC and Kotlin Coroutines, we obtain a seamless and efficient way to perform non-blocking database operations. ![]()
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