Implementing Distributed Transactions with Seata in a Spring Cloud Microservices Architecture

The article introduces the problem of data inconsistency when integrating a workflow system with existing services and explains why a distributed transaction solution is needed.

It defines distributed transactions, describing them as a set of operations across multiple services that must either all succeed or all fail, and highlights the challenges of maintaining data consistency in microservice environments.

Seata is presented as a lightweight, open‑source distributed transaction framework that supports AT, TCC, and Saga modes. The AT mode leverages a two‑phase commit protocol with undo logs, while TCC provides custom prepare/commit/rollback logic, and Saga offers long‑running transaction compensation.

The guide details step‑by‑step configuration of the Seata server, including file.conf, registry.conf, and database store settings, as well as the registration of Nacos as the service registry.

Client‑side setup for three microservices (order, storage, account) is covered: customizing the transaction group name in application.yml , editing file.conf and registry.conf , disabling Spring Boot's auto‑data source, and configuring MyBatis‑Plus with a DataSourceProxy to let Seata intercept database operations.

Code examples demonstrate how to annotate service methods with @GlobalTransactional , perform business logic (create order, deduct inventory, reduce account balance), and handle rollback scenarios. The article also shows how to simulate a timeout exception to trigger a global rollback.

A complete end‑to‑end demo is provided: initializing databases, launching the services, invoking the order API, and observing the transaction flow and final data state in MySQL tables.

Finally, the article mentions Seata transaction groups and points to further resources for deeper understanding of Seata’s internal mechanisms.