A sample event-sourced CQRS application demonstrating domain events, command handling, and read model construction.
Event Source CQRS Sample is a demonstration application that implements Event Sourcing and Command Query Responsibility Segregation (CQRS) patterns. It models a shop item's lifecycle—including buying, paying, and payment timeout scenarios—by capturing all state changes as domain events. The project serves as a practical reference for understanding how to structure applications using these architectural patterns.
Developers and architects learning or evaluating event sourcing and CQRS patterns, particularly those building domain-driven applications with complex state management needs.
It provides a clear, concise example of ES/CQRS implementation with a real-world shop item domain, making it easier to grasp these patterns without the overhead of a full production system.
Sample ES/CQRS application
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The README shows a clean separation between command and query sides, with the AggregateRoot emitting events and ReadModelOnDomainEventUpdater handling updates, making ES/CQRS concepts tangible.
Uses relatable shop item lifecycle events (ItemBought, ItemPaid, ItemPaymentMissing) to illustrate domain events, helping learners grasp abstract patterns through concrete examples.
Described as a sample application for learning ES/CQRS, it provides a hands-on implementation that developers can study to understand state reconstruction and audit trails.
Implements an EventStream table with EventDescriptors fetched by aggregate UUID, ensuring all state changes are stored immutably for reliable auditing and replay.
As a sample, it lacks critical features like error handling, concurrency control, and performance optimizations (e.g., snapshotting), making it unsuitable for real-world deployment without major changes.
The README is brief and doesn't cover setup, configuration, or advanced scenarios, forcing users to extrapolate or dig into the code for implementation details.
It doesn't leverage established frameworks or tools (e.g., Axon, EventStore), so extending or integrating with existing systems requires manual effort and deeper expertise.