You’ve seen how @Transactional allows Spring to automatically manage commits and rollbacks, freeing you from having to code transaction boundaries by hand. But once you start using it, a question arises: Should you declare @Transactional at the class level or the method level? This article dives into the pros, cons, and potential pitfalls of each…
In the previous article (Part 3), we traced how Java’s transaction management evolved from JDBC → EJB → Spring (programmatic style): Here in Part 4, we examine Spring’s further breakthrough: declarative transactions—a way to simply annotate a method with @Transactional and let the framework handle all transaction details, without the overhead of an application server….
Complex, multi-step processes often risk data inconsistencies if any intermediate step fails. We want everything to succeed together—or revert entirely if something goes wrong. Manually ensuring that in code is tedious and error-prone. Java has evolved several approaches to tackle this challenge, starting with direct JDBC transaction handling, moving on to EJB (2.x and later…
1) Realizing Things Are More Than One Step Previously, we saw how something as simple as a bank transfer or an online checkout is actually multiple steps underneath. If any one of those steps fails, you risk inconsistent or partially updated data. So how do real systems prevent this “half-finished” chaos? In many cases, the answer is a transaction. 2)…
1) When Data Fails, Everything Fails We live in a world where data underpins almost every action, especially in backend systems. From storing photos and contacts on a phone to running an e-commerce website that tracks orders, data integrity is the glue holding our digital lives and businesses together. But what happens when this data…
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