Bound bulk request size and record counts before admission
A single import can exhaust parser memory before validation runs.
- Focused work estimate
- 2h + prerequisites
- Priority in the scenario
- High
- Engineering practice
- Resource bounds · Validation
Estimated field mix
- API design40%
- Security30%
- Performance 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 catalog API needs to accept imports too large for one synchronous request. Partners need to distinguish accepted work, completed items, and recoverable failures.
Setup prerequisites
- Create a local API and worker double with synthetic catalog records and controlled interruption points.
Preceding work
Complete these dependencies, or supply their agreed outputs before taking this ticket.
Acceptance criteria
- Enforce byte and item-count ceilings.
- Validate envelope schema before queueing work.
- Return structured errors without echoing the payload.
Implementation constraints
- Use streamed or bounded parsing appropriate to the fixture.
Verification to include
- Accept an import at the declared limit.
- Reject oversized and malformed requests before creating work.
Deliverables
- Admission validator.
Rollout and recovery
Start with conservative limits and explicit client guidance.
Value of the work
For the engineer: Practice asynchronous resource contracts, partial outcomes, and idempotent operations.
For the team: Provide predictable bulk integration behavior without ambiguous success or repeated effects.
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.