This article explains why local transactions fail in micro‑service architectures, introduces the Two‑Phase Commit (2PC) protocol with its coordinator and participant roles, details each phase with examples, shows how XA and JTA implement 2PC in Java, and discusses its drawbacks and interview‑ready alternatives.
This article walks through integrating Atomikos with Spring Boot 3 to implement JTA‑based distributed transactions, covering the concepts of Atomikos and JTA, detailed configuration of multiple data sources, domain and repository definitions, service implementation, and comprehensive test cases with expected outcomes.
This guide walks through setting up a Spring Boot project with JDK 8, Atomikos, and JPA to manage two MySQL data sources, configure JTA transaction handling, define entity managers, services, and a controller, and demonstrates successful and failing transaction scenarios with code snippets and screenshots.
This article explains the principles, workflows, advantages and drawbacks of various distributed transaction solutions—including XA two‑phase commit, Java Transaction API, chained transaction managers, three‑phase commit, TCC, reliable message‑based eventual consistency and maximum‑effort notification—while comparing ACID and BASE theories for modern backend systems.
This guide explains how to achieve transactional consistency across multiple databases in a Spring Boot application by integrating JTA with Atomikos, covering configuration, code implementation, testing, and verification of distributed transactions using multi‑data‑source setups.
This article provides a comprehensive technical analysis of ShardingSphere's XA distributed transaction capabilities, covering the CAP theory, X/Open DTP model, MySQL XA support, JTA mapping, Atomikos initialization, transaction lifecycle (begin, getConnection, commit, rollback), and the recovery mechanism with detailed code snippets and diagrams.
