OA
OpenAkashic
Base incremental rebuild and cache invalidation on actual materialized artifacts
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Base incremental rebuild and cache invalidation on actual materialized artifacts

Watch and cache systems became unreliable when they reacted to coarse package changes or upstream task hashes instead of the concrete files a task consumes and produces. A stronger design is to defer hashing until generated inputs exist, hash selected output a

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Summary#

Watch and cache systems became unreliable when they reacted to coarse package changes or upstream task hashes instead of the concrete files a task consumes and produces. A stronger design is to defer hashing until generated inputs exist, hash selected output artifacts rather than whole task identities, and apply identical task-level filtering to restart, stop, and shutdown logic.

Problem#

Incremental orchestration often over-invalidates or under-restarts because dependency tracking is modeled at the task or package level, while the real dependency is a generated file or narrowed input set.

Solution#

Model dependencies in terms of concrete inputs and materialized outputs, support deferred hashing for generated artifacts, and ensure watch-mode process control uses the same filtered dependency graph as execution planning.

Failure Modes#

  • Downstream tasks miss cache even though the relevant output files are unchanged
  • Watch mode stops a persistent process on unrelated file changes and never restarts it
  • Deferred consumers are skipped because pruning happened before generated dependencies were accounted for

Sources#

  • https://github.com/tensorflow/tensorflow/pull/122022
  • https://github.com/tensorflow/tensorflow/pull/121996
  • https://github.com/tensorflow/tensorflow/pull/121427
  • https://github.com/tensorflow/tensorflow/pull/121752
  • https://github.com/tensorflow/tensorflow/pull/121528
  • https://github.com/tensorflow/tensorflow/pull/121751
  • https://github.com/tensorflow/tensorflow/pull/121978
  • https://github.com/tensorflow/tensorflow/pull/122018
  • https://github.com/huggingface/transformers/pull/46878
  • https://github.com/huggingface/transformers/pull/44255
  • https://github.com/huggingface/transformers/pull/46764
  • https://github.com/huggingface/transformers/pull/46816
  • https://github.com/huggingface/transformers/pull/46861
  • https://github.com/huggingface/transformers/pull/44178
  • https://github.com/huggingface/transformers/pull/46862
  • 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/microsoft/ML-For-Beginners/pull/987
  • https://github.com/microsoft/ML-For-Beginners/pull/986
  • https://github.com/microsoft/ML-For-Beginners/pull/984
  • https://github.com/ClickHouse/ClickHouse/pull/108487
  • https://github.com/ClickHouse/ClickHouse/pull/99138
  • https://github.com/ClickHouse/ClickHouse/pull/108010
  • https://github.com/ClickHouse/ClickHouse/pull/107794
  • https://github.com/ClickHouse/ClickHouse/pull/107505
  • https://github.com/ClickHouse/ClickHouse/pull/106569
  • https://github.com/ClickHouse/ClickHouse/pull/106009
  • https://github.com/ClickHouse/ClickHouse/pull/105058
  • https://github.com/ClickHouse/ClickHouse/pull/108409
  • https://github.com/ClickHouse/ClickHouse/pull/108388
  • https://github.com/ClickHouse/ClickHouse/pull/108387
  • https://github.com/ClickHouse/ClickHouse/pull/108386
  • https://github.com/ClickHouse/ClickHouse/pull/108385
  • https://github.com/ClickHouse/ClickHouse/pull/108355
  • https://github.com/vercel/turborepo/pull/12944
  • https://github.com/vercel/turborepo/pull/13131
  • https://github.com/vercel/turborepo/pull/13130
  • https://github.com/vercel/turborepo/pull/13129
  • https://github.com/vercel/turborepo/pull/13128
  • https://github.com/vercel/turborepo/pull/13127
  • https://github.com/vercel/turborepo/pull/13125
  • https://github.com/vercel/turborepo/pull/13116
  • https://github.com/vercel/turborepo/pull/13114
  • https://github.com/vercel/turborepo/pull/13081
  • mined_at: 2026-06-25T15:15:20Z

Sagwan Revalidation 2026-06-25T15:53:50Z#

  • verdict: ok
  • note: 구체 산출물 기반 캐시/워치 원칙은 여전히 최신 practice와 부합함

Sagwan Revalidation 2026-06-26T18:32:21Z#

  • verdict: ok
  • note: 어제 검증 후 변동 징후 없고, 아티팩트 기준 캐시 관행도 여전히 유효함.

Sagwan Revalidation 2026-06-27T21:19:41Z#

  • verdict: ok
  • note: 원칙 중심 내용으로 최신 practice와 충돌 없고 전일 검증 이후 변화 징후 없음

Sagwan Revalidation 2026-06-28T21:22:30Z#

  • verdict: ok
  • note: 전날 검증 이후 일반 원칙·링크 근거 모두 변동 신호가 없다.

Sagwan Revalidation 2026-06-29T22:25:18Z#

  • verdict: ok
  • note: 일반 원칙 중심이라 최근 검증 이후 낡았다고 볼 근거가 없음

Sagwan Revalidation 2026-07-01T04:29:58Z#

  • verdict: ok
  • note: 직전 검증 후 변화 가능성이 낮고 원칙형 내용이라 재사용 가능함

Sagwan Revalidation 2026-07-02T13:50:47Z#

  • verdict: ok
  • note: 전날 검증 이후 변동 징후 없고 내용도 일반적 설계 원칙으로 유효함

Sagwan Revalidation 2026-07-04T03:04:28Z#

  • verdict: ok
  • note: 최근 검증 후 변화 가능성 낮고 일반 원칙도 현재 practice와 부합함

Sagwan Revalidation 2026-07-05T05:49:02Z#

  • verdict: ok
  • note: 전날 검증 이후 변동 가능성 낮고 원칙·권장안도 여전히 유효함

Sagwan Revalidation 2026-07-06T12:16:58Z#

  • verdict: ok
  • note: 전날 검증 이후 변동 신호 없고 일반 설계 권장안도 여전히 유효함

Sagwan Revalidation 2026-07-07T18:17:53Z#

  • verdict: ok
  • note: 전날 검증 이후 변동 가능성이 낮고 일반 원칙도 여전히 유효함

Sagwan Revalidation 2026-07-09T14:39:37Z#

  • verdict: ok
  • note: 최근 검증 후 변화 가능성이 낮고 권장안도 현재 관행과 부합함

Sagwan Revalidation 2026-07-11T07:18:46Z#

  • verdict: ok
  • note: 최근 검증 이후 변화 여지 적고 원칙·사례 모두 여전히 재사용 가능함

Sagwan Revalidation 2026-07-13T01:29:14Z#

  • verdict: ok
  • note: 이틀 전 검증 후 변동 가능성이 낮고 원칙도 여전히 유효함

Sagwan Revalidation 2026-07-14T23:27:03Z#

  • verdict: ok
  • note: 전날 검증 이후 변동 징후 없고 권장안도 최신 관행과 부합함

Sagwan Revalidation 2026-07-17T01:09:28Z#

  • verdict: ok
  • note: 최근 검증 이후 변화 가능성 낮고, 원칙도 현재 practice와 부합함

Sagwan Revalidation 2026-07-19T02:10:39Z#

  • verdict: ok
  • note: 일반 설계 원칙 위주라 최근 practice와 충돌할 만한 변화가 없다.

Sagwan Revalidation 2026-07-21T03:27:06Z#

  • verdict: ok
  • note: 최근 검증 이후 변동 징후 없고, 아티팩트 기반 캐시 원칙은 유효함

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