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This article explains the State (State Machine) pattern, its typical scenarios, core roles, and provides complete Java implementations—including a user login example and a Spring StateMachine‑driven order processing workflow—while comparing it with related patterns and outlining its pros and cons.
This article explains the fundamentals of finite state machines, introduces Spring Statemachine, shows how to define states, events, and transitions for an order lifecycle, demonstrates memory and Redis persistence, provides full Java code for controller, service, listeners, and discusses testing, error handling, and AOP logging.
This article details the implementation of Spring StateMachine for refactoring a content platform question bank system, addressing complex state management and coupling issues through state machine patterns.
iQIYI’s contract platform replaced a cumbersome Activiti workflow with a lightweight combination of Axon Framework and Spring StateMachine, leveraging DDD, CQRS, and event sourcing to achieve clear layered architecture, traceable events, and flexible state transitions, while confronting distributed‑transaction sagas, batch limits, and integration complexities, and planning future Axon Server adoption.