Verify relationship completeness before making customer IDs mandatory
The team wants to mark new references non-null, but missing mappings are hidden by a dashboard that counts only completed batches.
- Focused work estimate
- 3h + prerequisites
- Priority in the scenario
- Medium
- Engineering practice
- Data validation · Referential integrity
Estimated field mix
- Database engineering70%
- Quality engineering30%
Field percentages are editorial estimates of the ticket's engineering focus. They total 100%; they are not measured time, proficiency scores, or ownership evidence.
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Project context
A fictional support platform stores a mutable external account code as its primary relationship key. Renames and imports now break references in several tables.
Setup prerequisites
- Create a disposable database with synthetic customers and dependent records.
- Apply real migration files; never use production db push.
Preceding work
Complete these dependencies, or supply their agreed outputs before taking this ticket.
- AMIGRATE-101 · Inventory every reference to the mutable customer code
- AMIGRATE-102 · Add immutable customer IDs through an additive migration
- AMIGRATE-103 · Add nullable customer-ID references to dependent tables
- AMIGRATE-104 · Backfill customer IDs with resumable keyset batches
- AMIGRATE-105 · Bridge legacy customer writes to the new identity transactionally
- AMIGRATE-106 · Protect customer-code renames during the backfill window
Acceptance criteria
- Count null, orphan and contradictory references separately.
- Check rows created during and after backfill.
- Fail the readiness check unless every required relationship is valid.
Implementation constraints
- Use SQL assertions against the actual synthetic schema.
Verification to include
- Complete valid mappings and pass the readiness query.
- Create a late legacy-only row and verify readiness fails.
Deliverables
- Completeness gate and SQL assertions
Rollout and recovery
Run repeatedly before constraint changes; leave new columns nullable while gaps remain.
Value of the work
For the engineer: Practice migration ordering, compatibility and referential integrity.
For the team: Review a reversible schema transition with measurable completeness checks.
Evidence boundaries
Outcome Evidence: Tests, patches, and runbooks are requested deliverables. They become Outcome Evidence only through a qualified Mission and immutable Evidence IDs.
Ownership Evidence: Independent adaptation must be observed under a declared verification policy and cite immutable Evidence IDs. Completing a planning ticket establishes no Ownership Evidence.