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Scan for outdated or missing drivers - takes under a minuteDriver Scan →Repair Windows errors before they cause bigger problemsFix Now →Sekiban DCB’s documented materialized-view implementation uses PostgreSQL for view storage and divides its work across separate core, PostgreSQL, and Orleans packages. You can keep event storage and view tables in different databases, but that does not mean the view implementation supports non-PostgreSQL storage. The available documentation establishes the architecture, not a complete runnable setup, so confirm current registration, schema, and migration instructions before writing code.
How does a materialized view work in Sekiban DCB?
A materialized view is a read model derived from events: a projection selects relevant events, applies handlers to fold them into state, and makes that state available for queries. In DCB, a projection is described through an initial state, event handlers, and a query or tag filter. Small projections can be composed, and a helper library is optional. A productive design translates the projection query so the event store can execute it.
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This is the general DCB projection model, not a Sekiban-specific setup recipe. The DCB specification describes queries as OR-combined items; within each item, the event type must match one of the listed types, and the event must carry every listed tag. Stores read sequenced events matching the query and atomically persist events; an optional append condition can enforce consistency. See the DCB projection guidance and DCB specification.
Which Sekiban packages handle the view?
The materialized-view feature is separate from the main event-store package. The documented package split is:
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- Sekiban.Dcb.MaterializedView: core contracts and a hosted catch-up worker.
- Sekiban.Dcb.MaterializedView.Postgres: registry, executor, row access, and table-update responsibilities.
- Sekiban.Dcb.MaterializedView.Orleans: grain orchestration and a query accessor.
These roles are documented in Sekiban’s storage-provider guide. They identify the architectural boundaries, but do not establish exact package versions, dependency-injection registrations, or API calls for a particular application.
Can the event store and view use different databases?
Yes. Sekiban’s documented proof of concept keeps events in one database while storing materialized-view tables in a separate PostgreSQL database or schema. The storage boundary is therefore separable: event persistence and read-model tables need not share one database.
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That separation has a specific limit: the documented materialized-view table implementation is PostgreSQL-based. Sekiban also lists PostgreSQL, Cosmos DB, and DynamoDB among event-store choices, but those event-store options do not establish materialized-view storage support for Cosmos DB or DynamoDB. Confirm the intended event-store and view-storage combination in the official storage guide. The repository recommends Sekiban DCB for new projects and describes Sekiban as a .NET event-sourcing and CQRS framework: Sekiban repository.
What should you verify before implementing it?
The documented architecture is useful for choosing package boundaries, but it is not enough to safely assemble a runnable implementation. The storage guide points to a separate “Materialized View Basics” page; consult that page and the package documentation matching your target project before coding.
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- Check current package versions and their compatibility with the project’s .NET and Sekiban DCB versions.
- Confirm exact service-registration and projection-registration APIs.
- Verify required PostgreSQL schema, table creation, and migration steps.
- Determine how catch-up is initiated, monitored, and resumed, and what consistency or concurrency guarantees apply.
- Confirm how the query accessor exposes the read model and what delay is acceptable between event persistence and view catch-up.
Those implementation details, along with a complete runnable sample and performance characteristics, are not established by the documented material cited here. Avoid treating package names or the generic DCB projection model as substitutes for current setup instructions.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.When is this architecture a fit?
Assess the design against the read patterns the application needs, the catch-up delay it can tolerate, and whether operating event storage separately from view tables is useful. Also account for PostgreSQL as the documented materialized-view storage boundary. These are design questions; no comparative benchmarks are established for Sekiban’s materialized views.
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