Validate bounded sort options instead of accepting SQL fragments
Clients can pass arbitrary sort expressions into query construction.
- Focused work estimate
- 2h + prerequisites
- Priority in the scenario
- High
- Engineering practice
- Input validation · SQL
Estimated field mix
- Database engineering40%
- Security40%
- API design20%
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 logistics platform lists shipments for partner dashboards. Offset pagination duplicates records during updates, while unrestricted filters create expensive database queries.
Setup prerequisites
- Create a local shipment dataset with synthetic tenants, equal timestamps, and concurrent update fixtures.
Preceding work
Complete these dependencies, or supply their agreed outputs before taking this ticket.
Acceptance criteria
- Allowlist sort fields and directions.
- Use parameterized query construction.
- Append a stable unique tie-breaker.
Implementation constraints
- Never concatenate untrusted SQL.
Verification to include
- Sort equal timestamps deterministically.
- Reject an expression-shaped sort value.
Deliverables
- Safe sort parser.
Rollout and recovery
Adopt on the new endpoint first; keep unknown sorts rejected.
Value of the work
For the engineer: Practice cursor design, query contracts, and consistency/performance tradeoffs.
For the team: Provide predictable list APIs that remain bounded and preserve tenant scope.
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.