When microservices each own their own database, a single global transaction across multiple services is typically unfeasible. Rather than forcing […]
In a monolithic system—where you likely have a single database—transaction handling can be straightforward: a single @Transactional boundary often suffices
Even in microservices, where each service has its own database and a SAGA or TCC pattern coordinates commits, every service
In-memory database tests with @Transactional are great for quick feedback, but they don’t fully capture real concurrency or vendor-specific behaviors
Have you ever run a test that inserted some data, crashed, and then left your database in a weird state
A Thorough Exploration of the Internal Mechanism Many developers know that in Spring Boot, you can simply place @Transactional on
You’ve configured your @Transactional settings—propagation, isolation, rollback rules—and verified everything in your code. Yet, sometimes you find a transaction isn’t
In our previous articles, we saw how to configure transaction boundaries (Propagation), handle concurrency through Isolation, specify rollback exceptions, and
In the previous articles, we explored core transaction concepts like Propagation (when and how transactions start or join), Isolation (how
In the previous articles, we explored how to start or join transactions (propagation) and how to handle concurrency (isolation). However,