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Tag: reactive-programming

Building a Recursive Data Structure with Spring WebFlux

I have a REST API that is built with the Spring WebFlux framework, and I have an endpoint which returns a Flux<ChannelResponse>, where ChannelResponse is a tree-structured object, as shown below: Now, I don’t have much experience with the reactive programming paradigm, but this is how I would implement such an endpoint with synchronous logic, such that each top-level channel

Uni.combine().all().unis() v.s. Multi..onItem().transformToMultiAndConcatenate().collect()

In my Quarkus service, I need to fetch a list of results from external service, and I figured out there are two methods to achieve the same goal: 1st approach based on Uni.combine().all(): 2nd approach based on Multi..onItem().transformToMultiAndConcatenate().collect() In the beginning I don’t think there exists any true difference between the two approaches, as Uni are evaluated lazily and either

Use case of Flux and Mono

I am new to world of Flux and Monos, and recently, while using the findAll() method, I realized that this method is capable of returning partial responses , i.e via the Flux , and I need to do append …

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