Db Logical Design

Trigger Boundary

• •Use when schema, indexing, transaction, migration, or durability behavior is in scope.
• •Do not use for HTTP/API boundary design; use api-*.
• •Do not use for cluster provisioning details; use infrastructure-as-code or kubernetes-*.

Goal

Ensure data correctness, performance, and lifecycle reliability.

Inputs

• •Change scope and risk profile
• •Domain evidence for table structure, keys, constraints, and relational consistency
• •Operational, compliance, and rollout constraints

Outputs

• •Logical schema specification with key and constraint definitions
• •Decision log for table structure, keys, constraints, and relational consistency
• •Verification checklist with measurable pass-fail criteria

Workflow

1. •Clarify outcomes and hard constraints for table structure, keys, constraints, and relational consistency.
2. •Produce options and select an approach for table structure, keys, constraints, and relational consistency.
3. •Evaluate trade-offs across security, performance, operability, and maintainability.
4. •Verify decisions using schema rule checks for integrity and referential consistency.
5. •Publish decisions, residual risks, and accountable follow-up actions.

Quality Gates

• •Scope and assumptions for table structure, keys, constraints, and relational consistency are explicit and reviewable.
• •Decision rationale is backed by evidence instead of preference.
• •Rollout and rollback criteria are defined when production impact exists.
• •Residual risks have owners, due dates, and verification steps.

Failure Handling

• •Stop when key constraints or integrity rules are missing.
• •Escalate when accepted risk exceeds team policy thresholds.