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📝 WalkthroughWalkthroughThe cache flow now uses a lockfile-specific restore prefix and run-unique save keys. ChangesCache key and restore flow
Estimated code review effort: 3 (Moderate) | ~20 minutes Merge Risk: 🔵 Low · up to Each run now creates a restorable cache and later runs prefer the freshest matching lockfile cache. If a workflow fails after its cache key is finalized, a partial store could be restored by a later matching run; this is bounded but should remain an explicit owner follow-up. Suggested reviewers: Sequence Diagram(s)sequenceDiagram
participant CacheRestore
participant CacheService
participant CacheFinalize
CacheRestore->>CacheService: Restore with lockfile prefix and runtime-store fallback
CacheService-->>CacheRestore: Return restored key
CacheRestore->>CacheFinalize: Pass lockfile prefix and resolved runtimes
CacheFinalize->>CacheService: Save with run ID and run attempt
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Confidence Score: 4/5The PR is not yet safe to merge because equivalent cache-writing jobs in one workflow attempt can still target the same immutable cache key and prevent one job’s final store from being published. The current key includes workflow run and attempt identity but no job or matrix identity, so concurrent equivalent jobs still compute the same save key and only one resulting snapshot can be retained. Files Needing Attention: src/cache-restore/run.ts, src/cache-restore/keys.ts, src/cache-save/run.ts Reviews (3): Last reviewed commit: "dedupe save keys across re-runs, extract..." | Re-trigger Greptile |
| const runId = process.env.GITHUB_RUN_ID ?? '' | ||
| const primaryKey = getSaveCacheKey(cache.lockfileKeyPrefix, resolvedRuntimes, runId) |
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Workflow-wide cache key collisions
If two cache-writing jobs in one workflow run share the same OS, architecture, runtime identity, and lockfile, GITHUB_RUN_ID gives them identical immutable save keys. The second job cannot publish its final store, leaving the first snapshot in place or causing the post action to report a reservation conflict.
Knowledge Base Used: pnpm store cache save
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| // We don't need to download everything again if only one dependency changed. | ||
| // We can still re-use a previous store to cache the rest of the unchanged | ||
| // dependencies. Saves are keyed by run id (see getSaveCacheKey), so | ||
| // lockfileKeyPrefix itself never matches exactly: every restore falls | ||
| // through to the prefix search and picks up the most recent matching entry. |
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Comments replace cache behavior tests
These new comments narrate restore ordering and save control flow, while focused tests do not cover freshest-prefix selection, fallback cache-hit reporting, or missing-primary-key save handling. Refactor the behavior to be self-explanatory and add executable coverage so these contracts cannot silently drift.
Context Used: Comments and docs in code are suspicious. Is test ... (source)
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Actionable comments posted: 1
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Inline comments:
In `@src/cache-restore/run.ts`:
- Line 71: Update the save-key construction in getSaveCacheKey to include
GITHUB_RUN_ATTEMPT alongside GITHUB_RUN_ID, ensuring each workflow attempt
produces a distinct immutable key. Add a regression test covering two attempts
with the same run ID and verifying different save keys.
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README.mdaction.ymlsrc/cache-restore/keys.test.mjssrc/cache-restore/keys.tssrc/cache-restore/run.tssrc/cache-save/run.ts
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One thing worth checking before this lands: the run id does not discriminate between jobs, so on a large fan-out this does not stop the reservation races — and it multiplies entries.
With the which is the same failure mode the current keying produces, just arrived at differently. On a fan-out of roughly a hundred jobs that is ~100 warnings per run, and ~99 full store uploads that are built and compressed before being discarded — in the region of 18s of job time each, against a store of several hundred MB. The quota point you raised on #40 also gets sharper here. Today a given lockfile occupies one entry and is refreshed in place; with a run id it becomes one entry per run. A repository doing several deploys a day, with a store in the hundreds of MB, will hold many copies of near-identical content and push out entries that are still useful — including, in the worst case, the store the next run wanted to restore from. Adding a per-job discriminator would fix the collision but makes the entry growth considerably worse, so that does not seem like the way out either. The lever that would actually help this shape of workload is letting a job restore without saving — an input such as |
as per @zkochan feedback here. This PR updates the cache system so:
Summary by CodeRabbit
Bug Fixes
cache-hitreporting to indicate an exact lockfile match rather than a fallback cache.Documentation