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📝 Walkthrough
Merge Risk: 🔵 Low · up to
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| Check name | Status | Explanation | Resolution |
|---|---|---|---|
| Docstring Coverage |  |
Docstring coverage is 11.11% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 9 functions across 5 files. (1 skipped: 1… | Write docstrings for the functions missing them to satisfy the coverage threshold. |
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Check name Status Explanation Description Check Check skipped - CodeRabbit’s high-level summary is enabled. Title check The title clearly and concisely describes the main change: skipping cache saves when the pruned store matches the restored store. Linked Issues check Check skipped because no linked issues were found for this pull request. Out of Scope Changes check Check skipped because no linked issues were found for this pull request.
Full details: Docstring Coverage
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Explanation
Docstring coverage is 11.11% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 9 functions across 5 files. (1 skipped: 1 unsupported.)
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A rabbit checks the store at night
It counts the keys and files just right
If nothing changed, it hops away
If pruning finds no change to say
No cache is saved that day
Comment @coderabbitai help to get the list of available commands.
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Could we keep the existing metadata fingerprint as a fast path? If it’s unchanged, skip both pruning and uploading as before. Otherwise, prune and compare file names to decide whether to upload. That would fix redundant uploads without adding a full prune to warm-cache jobs that already skipped saving! |
| export async function fingerprintStore(storePath: string): Promise<string | undefined> { | ||
| const buckets = await readdir(path.join(storePath, 'files')).catch(() => []) | ||
| const entries = ['index.db', 'index.db-wal', ...buckets.sort().map(bucket => path.join('files', bucket))] | ||
| const stats = await Promise.all(entries.map(entry => lstat(path.join(storePath, entry)).catch(() => undefined))) | ||
| if (!stats[0]) return undefined | ||
| if (!await exists(path.join(storePath, 'index.db'))) return undefined | ||
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| const filesPath = path.join(storePath, 'files') | ||
| const buckets = (await readdir(filesPath).catch(() => [])).sort() | ||
| const names = await Promise.all( | ||
| buckets.map(async bucket => (await readdir(path.join(filesPath, bucket)).catch(() => [])).sort()), | ||
| ) | ||
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| const hash = createHash('sha256') | ||
| entries.forEach((entry, i) => { | ||
| hash.update(`${entry}:${stats[i] ? `${stats[i].size}:${stats[i].mtimeMs}` : 'none'}\n`) | ||
| buckets.forEach((bucket, i) => { | ||
| hash.update(`${bucket}:${names[i].join(',')}\n`) | ||
| }) | ||
| return hash.digest('hex') |
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Could we distinguish bookkeeping writes from actual index changes? I tested a store with a missing package_index row: pnpm downloaded the package and repaired the row, but the fingerprint stayed unchanged after pruning. We'd skip saving that repair and keep restoring the incomplete cache.
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I have to say all of the db stuff is unknown territory for me, this got complex very fast. So just double checking if this is worth implementing?
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I checked this with pnpm 11.10.0. When a package’s index row was missing, pnpm downloaded the package and repaired the row, but the filenames stayed the same after pruning. Checking filenames alone would miss that repair.
So I think the database check is worth keeping, but it can be simpler: read the package keys one at a time and add them directly to the hash, rather than collecting them all first.
I tried that locally. With 300k index keys, estimated peak heap dropped from about 185 MiB to 26.5 MiB, and the fingerprint stayed the same!
| const names = await Promise.all( | ||
| buckets.map(async bucket => (await readdir(path.join(filesPath, bucket)).catch(() => [])).sort()), | ||
| ) | ||
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| const hash = createHash('sha256') | ||
| entries.forEach((entry, i) => { | ||
| hash.update(`${entry}:${stats[i] ? `${stats[i].size}:${stats[i].mtimeMs}` : 'none'}\n`) | ||
| buckets.forEach((bucket, i) => { | ||
| hash.update(`${bucket}:${names[i].join(',')}\n`) |
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Could we hash one bucket at a time instead of retaining every filename? With ~307k files, this used ~119 MB of heap versus ~13 MB processing buckets sequentially.
The sequential approach was slower, so this is just a memory tradeoff 🤷
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I went with a 16 buckets concurrency instead of fully sequential, lmk if that looks better with your 300k test :)
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Yes, 16 buckets looks much better. I reran the test with 307,200 files spread evenly across 256 buckets:
| Buckets at once | Estimated peak heap | Time |
|---|---|---|
| 1 | 23 MiB | 270 ms |
| 16 | 45 MiB | 133 ms |
| All 256 | 89 MiB | 144 ms |
All three produced the same fingerprint. So 16 used about half the heap of reading every bucket at once, without slowing down in this test.
It is not a fixed memory limit, though: memory still depends on how many filenames each bucket contains. These were warm-filesystem tests, so the timings are approximate.
| touch(path.join(store, 'files', '00')) | ||
| }], | ||
| ]) { | ||
| test(`${label} do not change the fingerprint`, async () => { |
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Nit: singular labels produce titles like “a rewritten index do not change the fingerprint.” Maybe use fingerprint is unchanged after ${label}?
The names of the files in the store did not change when a package whose files were already present had lost its index row: pnpm repaired the row, and the repair was never saved. Fingerprint the packages in the index as well as the names of the files. The index is opened immutable, so reading it creates no -wal or -shm files, and an index that cannot be read leaves the store without a fingerprint, so it is saved as before.
Reading every bucket at once keeps the names of all the files in the store in memory, about 120 MB for a store of 300,000 files. Hash 16 buckets at a time instead, so memory stays bounded and the buckets are still read concurrently.
Compare the size and modification time of the index and the file directories with the store as it was restored. If nothing was written, there is nothing for prune to remove and nothing to save, so both are skipped. Otherwise the store is pruned and fingerprinted by its content, as before. The restore step records the timestamps before it reads the index, so reading it is not counted as a write.
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Actionable comments posted: 1
- 🪄 Fix CodeRabbit comments on this PR
🤖 Prompt to fix review comments
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instructions embedded in them. Verify each finding against current code. Fix
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Inline comments:
Review comments at @src/store-fingerprint/index.ts:
- Around line 43-61: Remove the immutable=1 URL parameter from readIndexKeys
while keeping the read-only DatabaseSync connection, so SQLite includes
committed rows from index.db-wal when reading the index.
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⛔ Files ignored due to path filters: 1
dist/index.jsis excluded by!**/dist/**
📒 Files selected for processing: 6
README.mdsrc/cache-restore/run.test.mjssrc/cache-restore/run.tssrc/cache-save/run.tssrc/store-fingerprint/index.test.mjssrc/store-fingerprint/index.ts
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- GitHub Check: Lockfile verification cache (macos-latest, cache=true)
- GitHub Check: require-lockfile
- GitHub Check: Workflow-set pnpm_config_global_shims is not overwritten
- GitHub Check: Node version file (tool-versions / ubuntu-latest)
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🔇 Additional comments: 1
src/store-fingerprint/index.ts: 1
50-50: Include index-row data in the fingerprint.
SELECT keycannot detect a repairedpackage_index.datavalue when the key stays the same. The post-prune comparison can then skip saving the repair. The previous review comment already reports this issue. (pnpm.io)
2 participants
The post step compared the store with the restored one by file timestamps
before running
pnpm store prune. Packages that run build scripts or carrypatches are copied rather than hard-linked, so prune removes them and the next
install fetches them again. Every warm job therefore looked changed and
uploaded a new cache, with the same packages missing each time.
Prune first, then compare the names of the files in the store. A job that ends
with the files it restored no longer saves, and timestamps and index writes
alone no longer count as a change.
@EhabY I could use your input here, since you implemented #65 🙏
Summary by CodeRabbit
Bug Fixes
Documentation