projection-patterns

Projections in event sourcing process event streams to build and update read models, creating materialized views that allow efficient data access without reconstructing aggregate state from the full event history.

The projection types detailed for event-sourced systems include live, catchup, persistent, and inline projections, each managing event stream consumption differently to build read models.

You optimize query performance in event-sourced applications by implementing live projections to create materialized views, enabling rapid data retrieval for real-time dashboards.

Yes, implementing projections requires prerequisite knowledge of event sourcing and CQRS patterns, as this guidance focuses on managing event streams and building the CQRS read side.

Catchup projections process historical event streams to build read models from scratch, while persistent projections maintain ongoing event stream state, with best practices dictating selection based on your query requirements.

The best way to handle events when designing CQRS read side projections is to follow established projection design best practices, ensuring accurate materialized views and efficient event stream processing.