Set a throughput gate that also enforces import memory and correctness
The fastest batch configuration exceeds the worker memory budget and fails on interrupted runs. Throughput alone is selecting the wrong candidate.
- Focused work estimate
- 5h + prerequisites
- Priority in the scenario
- High
- Engineering practice
- Performance budgets · Data integrity
Estimated field mix
- Performance engineering50%
- Data engineering30%
- Quality engineering20%
Field percentages are editorial estimates of the ticket's engineering focus. They total 100%; they are not measured time, proficiency scores, or ownership evidence.
Review it, then add it to your workspace.
The board opens an editable draft; nothing is saved until you confirm it. Sign-in and workspace permissions apply, and Demo boards remain ephemeral.
Project context
A fictional wholesaler imports supplier rows into a staging catalog. The current prototype reads the entire file into memory and restarts from zero after a failure. Build the prototype and generated CSV fixture locally before measuring improvements.
Setup prerequisites
- Generate a deterministic 250,000-row synthetic CSV with quoted newlines, invalid records and a stated maximum record size.
- Create a disposable staging database and an import process constrained to 256 MiB; record runtime and available CPU.
Preceding work
Complete these dependencies, or supply their agreed outputs before taking this ticket.
- PBATCH-101 · Generate a catalog file that includes difficult CSV boundaries
- PBATCH-102 · Measure peak import memory across parsing, validation and writes
- PBATCH-103 · Attribute import time to parsing, validation and database waits
- PBATCH-104 · Stream records without buffering the rest of the catalog
- PBATCH-105 · Batch staging writes without changing duplicate-SKU behavior
- PBATCH-106 · Stop validation workers from creating an unbounded reorder queue
- PBATCH-107 · Report import progress from committed records instead of bytes read
- PBATCH-108 · Resume an interrupted catalog import from a committed checkpoint
- PBATCH-109 · Prove temporary import resources disappear after cancellation
Acceptance criteria
- Run three paired baseline/candidate comparisons with the same source, database state and resource limits.
- Require completion within the 256 MiB process budget, exact normalized digest and at least 20% higher median committed-record throughput than a completing baseline.
- If the whole-file baseline cannot complete, report that fact and compare throughput against a documented completing bounded baseline; never calculate improvement from a killed run.
Implementation constraints
- Include reset and warmup procedures, peaks, repetitions and recovery observations in the report; the budgets are local exercise conditions.
Verification to include
- Run normal and slow-writer fixtures and publish all memory peaks and completion outcomes.
- Repeat the commit/checkpoint interruption case with the chosen batch and concurrency settings, then verify final digest and resource cleanup.
Deliverables
- Performance gate, raw measurements and chosen operating configuration
Rollout and recovery
Promote only the configuration satisfying every gate in the synthetic environment; restore the prior bounded configuration if memory or recovery regresses.
Value of the work
For the engineer: Practice streaming, backpressure, allocation analysis and resumable work while retaining exact import semantics.
For the team: Develop a repeatable import performance and recovery exercise that exposes memory, throughput and data-quality tradeoffs.
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.