Chunked processing must never return early after the first successful block

Summary#

Large datasets often execute in blocks even when the user expects one logical operation. When a mutation, delete, or transform loop exits after the first successful chunk, the system can report success while silently leaving later chunks untouched. Prefer loop structures that accumulate progress across all chunks and add tests that exceed the default block size.

Problem#

A batched delete path handled only the first matched block because control flow returned from inside the per-block loop after one successful multi-remove.

Solution#

Keep success handling outside the chunk loop, process every matched block, and add regression coverage with inputs larger than the normal block limit so partial-completion bugs surface immediately.

Failure Modes#

Silent partial deletes or updates
Success status reported despite incomplete work
Tests passing when fixtures are too small to span multiple blocks

prefer-explicit-failure-semantics-and-cleanup-over-ambiguous — explicit failure semantics vs ambiguous partial success
core-api-bulk-mutation-contracts-partial-success-per-item-errors-async-escalation-and-idempotent-retry-failure-modes — bulk mutation API partial success contracts

Sources#

https://github.com/tensorflow/tensorflow/pull/124544
https://github.com/tensorflow/tensorflow/pull/124548
https://github.com/tensorflow/tensorflow/pull/124210
https://github.com/tensorflow/tensorflow/pull/123858
https://github.com/tensorflow/tensorflow/pull/124547
https://github.com/tensorflow/tensorflow/pull/124550
https://github.com/tensorflow/tensorflow/pull/124549
https://github.com/tensorflow/tensorflow/pull/124546
https://github.com/tensorflow/tensorflow/pull/124213
https://github.com/tensorflow/tensorflow/pull/124474
https://github.com/tensorflow/tensorflow/pull/123816
https://github.com/tensorflow/tensorflow/pull/124212
https://github.com/tensorflow/tensorflow/pull/124532
https://github.com/tensorflow/tensorflow/pull/124529
https://github.com/huggingface/transformers/pull/47647
https://github.com/huggingface/transformers/pull/47587
https://github.com/huggingface/transformers/pull/47682
https://github.com/huggingface/transformers/pull/47681
https://github.com/huggingface/transformers/pull/47680
https://github.com/huggingface/transformers/pull/47679
https://github.com/huggingface/transformers/pull/47663
https://github.com/huggingface/transformers/pull/47673
https://github.com/microsoft/ML-For-Beginners/pull/1002
https://github.com/microsoft/ML-For-Beginners/pull/1001
https://github.com/microsoft/ML-For-Beginners/pull/1000
https://github.com/microsoft/ML-For-Beginners/pull/994
https://github.com/microsoft/ML-For-Beginners/pull/991
https://github.com/microsoft/ML-For-Beginners/pull/990
https://github.com/microsoft/ML-For-Beginners/pull/989
https://github.com/ClickHouse/ClickHouse/pull/112777
https://github.com/ClickHouse/ClickHouse/pull/112326
https://github.com/ClickHouse/ClickHouse/pull/112956
https://github.com/ClickHouse/ClickHouse/pull/109178
https://github.com/ClickHouse/ClickHouse/pull/112971
https://github.com/ClickHouse/ClickHouse/pull/113004
https://github.com/ClickHouse/ClickHouse/pull/112995
https://github.com/ClickHouse/ClickHouse/pull/113012
https://github.com/ClickHouse/ClickHouse/pull/113032
https://github.com/ClickHouse/ClickHouse/pull/113002
https://github.com/ClickHouse/ClickHouse/pull/112943
https://github.com/ClickHouse/ClickHouse/pull/113016
https://github.com/vercel/turborepo/pull/13623
https://github.com/vercel/turborepo/pull/13522
https://github.com/vercel/turborepo/pull/13602
https://github.com/vercel/turborepo/pull/13622
https://github.com/vercel/turborepo/pull/13613
https://github.com/vercel/turborepo/pull/13612
https://github.com/vercel/turborepo/pull/13621
https://github.com/vercel/turborepo/pull/13611
https://github.com/vercel/turborepo/pull/13610
https://github.com/vercel/turborepo/pull/13609
https://github.com/vercel/turborepo/pull/13616
https://github.com/vercel/turborepo/pull/13608
mined_at: 2026-08-03T04:22:23Z

Revalidation Summary#

2026-08-03: ok — 청크 전체 처리와 초과 크기 회귀테스트 권장은 여전히 유효하다.
2026-09-01: ok — 청크 전체 처리 원칙은 여전히 유효하며 최신 practice와 충돌 없음.
2026-09-07: ok — 청크 전체 처리 원칙과 대형 fixture 테스트 권장은 현재도 유효하다.
2026-09-11: revise — 재검증 API 오류 노이즈 12개 섹션 정리, 고아 해소를 위한 related 링크 추가.

Sagwan Revalidation 2026-09-12T15:10:07Z#

verdict: ok
note: 청크 루프 조기 반환 금지는 시대에 무관한 프로그래밍 정확성 원칙이며, 권장 해법·실패 유형 모두 현재 실무에도 그대로 적용된다.

Sagwan Revalidation 2026-09-16T08:29:41Z#

verdict: ok
note: 청크 전체 처리와 대형 fixture 테스트 권장은 여전히 유효하다.