How does Ecotone handle event versioning?

It uses the Revision attribute to identify schema versions and upcasters to transform older event formats into the current version during the read process, ensuring backward compatibility.

Can I use multiple event streams for a single projection?

Yes, ProjectionV2 supports multiple event streams; however, partitioned projections are restricted to a single stream to maintain strict consistency boundaries.

What is the purpose of the Dynamic Consistency Boundary (DCB)?

DCB is a pattern used to ensure consistency across multiple aggregate instances or streams, allowing for complex multi-stream operations that remain reliable.

What is the difference between Projection and ProjectionV2?

ProjectionV2 is the modern standard in Ecotone, offering superior performance and features like partitioning and streaming consumption over the legacy Projection attribute.

Ecotone Event Sourcing

Name: Ecotone Event Sourcing
Author: ecotoneframework

byecotoneframework

•

데이터베이스 관리

Implements advanced event sourcing patterns, projections, and event schema evolution using the Ecotone Framework.

This skill provides a comprehensive toolkit for implementing event sourcing within PHP applications using the Ecotone Framework. It enables developers to build event-sourced aggregates, manage high-performance read models via ProjectionV2, and handle complex event versioning through upcasting. With support for partitioning, streaming consumption, and Dynamic Consistency Boundaries (DCB), this skill is essential for building scalable, message-driven architectures that require a reliable audit trail and sophisticated data projection capabilities.

주요 기능

011 GitHub stars

02Manage event schema evolution with built-in versioning and upcasting

03Build event-sourced aggregates with automated state reconstruction

04Create high-performance read models using ProjectionV2 with partitioning

05Utilize a robust Event Store API for custom stream management and replays

06Implement streaming and polling execution modes for asynchronous projections

사용 사례

01Evolving application data structures safely using event upcasting patterns

02Developing real-time, high-performance read models for dashboards and reporting

03Building complex domain models that require a complete historical audit trail

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ecotoneframework/skills ecotone-event-sourcing

For use in Claude.ai and ChatGPT

주요 기능

011 GitHub stars

02Manage event schema evolution with built-in versioning and upcasting

03Build event-sourced aggregates with automated state reconstruction

04Create high-performance read models using ProjectionV2 with partitioning

05Utilize a robust Event Store API for custom stream management and replays

06Implement streaming and polling execution modes for asynchronous projections

사용 사례

01Evolving application data structures safely using event upcasting patterns

02Developing real-time, high-performance read models for dashboards and reporting

03Building complex domain models that require a complete historical audit trail

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ecotoneframework/skills ecotone-event-sourcing

For use in Claude.ai and ChatGPT