temporal-workflow

SAGA compensation in Java workflows is implemented by registering compensation steps before executing forward activities, ensuring reliable error recovery for long-running business processes. This approach uses deterministic replay to guarantee compensations execute correctly upon failures.

Separating Temporal workflows and activities requires keeping workflow code strictly deterministic by delegating external calls to activity interfaces. Spring Boot integration wires activities as beans, allowing workflow logic to remain isolated and safe for replay.

Workflow state machine transitions can be driven using YAML configuration to define states, transitions, signals, and queries. This config-driven approach externalizes state logic from Java code, enabling dynamic updates and clearer visibility into multi-step orchestration flows.

Testing Temporal workflows in Java uses TestWorkflowEnvironment to simulate time-skipping and activity mocking for deterministic workflow validation. This test harness verifies SAGA compensation chains, retry policies, and signal handling without waiting for real time to pass.

Temporal supports signals and queries for interacting with running workflow instances in Java. Signals inject external state changes into active workflows, while queries retrieve current workflow state without affecting replay, enabling responsive communication with long-running processes.

Durable execution and multiple retry profiles are needed for multi-step orchestrations involving unreliable external services or long-running business processes. They ensure each step automatically retries with tailored backoff policies and recovers state seamlessly after process restarts.