Define archive query pagination across hot and cold boundaries
A query spanning the archive cutoff repeats recent events and misses records moved between stores during pagination.
- Focused work estimate
- 3h + prerequisites
- Priority in the scenario
- Medium
- Engineering practice
- Pagination · Consistency
Estimated field mix
- System design40%
- Database engineering30%
- Storage systems30%
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 procurement platform keeps append-only action records. Operators want fast recent search and affordable old records without losing provenance or leaking tenant data.
Setup prerequisites
- Create synthetic audit events and local storage/search adapters.
- Use an explicit fictional retention policy, not legal advice.
Preceding work
Complete these dependencies, or supply their agreed outputs before taking this ticket.
- AARCHIVE-101 · Define which audit questions require indexed search versus archive retrieval
- AARCHIVE-102 · Calculate archive storage growth from event size and retention assumptions
- AARCHIVE-103 · Choose hot and cold archive boundaries with a reviewable decision record
- AARCHIVE-104 · Define an immutable archive segment manifest
- AARCHIVE-105 · Specify search indexing as a rebuildable projection of archived events
- AARCHIVE-106 · Authorize archive retrieval before issuing object capabilities
Acceptance criteria
- Bind the cursor to a declared snapshot or generation.
- Specify stable ordering and deduplication by event identity.
- Return explicit partial or unavailable states for missing segments.
Implementation constraints
- Model movement with local fixtures rather than live archive jobs.
Verification to include
- Page across a cutoff while a segment moves and retain complete ordering.
- Make one segment unavailable and report the gap without a complete-result claim.
Deliverables
- Cross-store query contract and boundary cases
Rollout and recovery
Canary bounded date queries; fall back to separate hot/cold retrieval if completeness is uncertain.
Value of the work
For the engineer: Practice storage tradeoffs, provenance and data-lifecycle decisions.
For the team: Review archive cost and retrieval guarantees before committing to infrastructure.
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.