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How should relationships between users, weddings, events, guests, and tasks be modeled?

Model wedding-app relationships with explicit membership, event ownership, guest invitations, and task references that preserve access boundaries.

How should relationships between users, weddings, events, guests, and tasks be modeled?

Model relationships around the product's ownership rules and the questions the application must answer. The same person, event, or task can participate in several workflows, so clear relationships prevent duplicated information and accidental access across weddings.

Establish the wedding as a scope boundary

A wedding can have many events, guests, and tasks. Each of those records should have an unambiguous connection to its wedding.

Users may participate in multiple weddings, and weddings may have multiple organizers or collaborators. A membership entity can represent that many-to-many relationship while storing the user's role within each wedding. Server logic must verify membership when accessing scoped data.

Represent attendance separately from planning work

A guest may be invited to several events, and an event may have many guests. Model that connection through invitations or an explicit guest-event association. Record RSVP information at the level needed by the product, rather than assuming one response covers every event.

A task may reference an event and an assignee, but those links need validation. Assigning a task to someone who is not a permitted wedding member should fail even if their user identifier exists.

Choose storage around access patterns

Relational tables often use foreign keys and join tables for these relationships. Document databases can use references or carefully chosen embedded records. The right structure depends on update frequency, record growth, and the queries the application performs.

Avoid copying full user or guest records into every task and invitation without a clear reason. Duplication creates synchronization responsibilities. Test the model with sample reads and updates, then document what happens when memberships are removed or events are archived. AI can suggest alternatives, but the team's access and lifecycle rules should decide the design.

No. The field records ownership, but server logic must still verify the caller's membership and permissions. It must also validate that referenced records share the required scope.

Embedding can suit small, bounded information that is usually read with its parent. Consider independent updates, record growth, and duplication before embedding data that has its own lifecycle.

Define the policy explicitly, such as clearing the assignee while preserving the task. Apply the change consistently and prevent the removed collaborator from retaining access through old references.

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