This article analyzes the challenges of distributed transactions in a micro‑service order system, compares XA, TCC, and SAGA patterns, and details how the open‑source DTM framework is applied to achieve reliable order creation while handling crashes, rollbacks, idempotency, and network anomalies.
This article explains the fundamentals of distributed transactions, compares classic solutions such as XA, Saga, TCC, local message tables, and transaction messages, and presents a sub‑transaction barrier technique that gracefully handles idempotency, empty rollbacks, and hanging issues in microservice architectures.
The article classifies common microservice business scenarios, matches each with suitable distributed transaction patterns such as reliable messages, TCC, SAGA, and XA, and demonstrates practical implementations using DTM, SEATA, and RocketMQ with code examples and a feature comparison table.
This article explains the theory behind TCC distributed transactions, describes its three-phase workflow and roles, and provides a complete Python implementation using the DTM framework, including deployment steps, code examples, and handling of both successful commits and rollbacks.
This article explains the fundamentals of distributed transactions, compares classic solutions such as XA, Saga, TCC, local message tables, and transactional messages, discusses their trade‑offs, and introduces advanced techniques like sub‑transaction barriers to handle network anomalies in microservice architectures.
