implement-cqrs-pattern

CQRS separates write models via aggregates that emit domain events from read models using projections. You wire domain events into projections to populate query-optimized views for dashboards and analytics without touching the write model.

You build fast read models by creating projections that listen to domain events emitted by aggregates. These projections update denormalized views, allowing query handlers to retrieve pre-computed dashboard and analytics data efficiently.

Use CQRS with event sourcing when you have distinct read and write workloads in a domain-driven design. It enforces aggregates as the source of truth while enabling read-optimized views via projections for real-time monitoring and analytics.

Yes, you can rebuild read models by replaying events. The architecture uses event sourcing where aggregates emit domain events, allowing projections to reconstruct dashboard and analytics views from the event history.

Query handlers retrieve pre-computed views directly from read models. They query denormalized projections populated by domain events, ensuring fast reads for dashboards, analytics, and lists without accessing the write model.

Aggregates handle write operations and mutate state by emitting domain events as the source of truth. Projections consume those events to update denormalized read models, optimizing queries for dashboards and analytics.