#Kotlin Exposed just dropped 1.0.0-beta-1 
With #R2DBC support! 
The (Exposed) cuttlefish is well-known for its outstanding mimicry ability that enables it to blend seamlessly into any environment (or dialect 
). And now reactively!
https://github.com/JetBrains/Exposed/releases/tag/1.0.0-beta-1
I am very disappointed about immaturity
of Spring Data #R2DBC, I do not see any elegant option for loading several aggregate roots in a single query without cumbersome manual mapping. In this way, we wrote the code 20 years ago. https://stackoverflow.com/q/79533882/204950 #programming #java
If you are using #R2DBC, I strongly recommend upgrading to Spring Boot 3.3.5 which contains an amazing optimization crafted by Mark Paluch and Dariusz Jędrzejczyk which provides a huge performance boost (higher throughput, lower latency) under high concurency. https://spring.io/blog/2024/10/24/spring-boot-3-3-5-available-now
I struggle to find the benefits of #Spring #R2DBC. It's a full rewrite of #JDBC API using non-blocking I/O. However, typical application shouldn't open more than a handful of DB connections. So, just a few threads blocked on I/O (plus some threads queued up) shouldn't be an issue. Unless you want to be purely reactive or you are connecting to massively scalable database. But in that case, virtual threads come in handy. So what's the point? #Java #reactive
Spring Data #R2DBC doesn't make it easy to query across multiple tables. With the @Query annotation, I couldn't map the results to the entity. I had to resort to the low-level DatabaseClient. I would be interested in the "correct way" with pointers to the documentation.
I couldn't be happier to announce that the #R2DBC MySQL driver has found new maintainers 
Check out my newest #blog post about Micrometer Tracing in Spring Boot 3 WebFlux.
It covers:
- Automatic endpoint observation
- External calls with Spring WebClient
- Logs with trace and span IDs in reactive context
- Database traces with R2DBC
https://betterprogramming.pub/tracing-in-spring-boot-3-webflux-d432d0c78d3e
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