Partition `file_change` by `HASH (file_id)` in 16 partitions, with the
same bounds as `file_data`, so a join between them is resolved partition
by partition. The primary key becomes `(file_id, id)`, which a
partitioned table needs, and every access filters by `file_id`.
The new table carries a `kind` column (1 snapshot, 2 revision) as a
reserve: the queries still tell them apart by the label, and `kind`
takes over when they are rewritten. The payload of a snapshot stays in
`file_data`; the `data` column is kept for reading old `legacy-db`
payloads.
The four snapshot commands require `file-id`, because it prunes the
partition. The objects GC locks and deletes by the pair, in batches. The
old table is kept as `file_change_legacy` as the way back.
The automatic migration refuses to run above 10 GiB or 2M rows and
points to the runbook; big instances partition online with that runbook,
which copies by id, follows the `updated_at` watermark in delta passes
and checks that no row of the source is missing from the target.
Closes#12416
AI-assisted-by: deepseek-v4.1-flash
* ✨ Extend backend histogram buckets beyond 7.5s
Give every backend timing histogram a tail past the shared 7500ms cap
so slow RPC calls, CLIMIT waits and background tasks report real
quantiles instead of clipping at the top bucket.
Request and wait metrics grow to 60s, background tasks to 300s and
Redis eval to 10s; the sub-7.5s buckets stay untouched to keep the
history comparable.
Closes#12408
AI-assisted-by: muse-spark-1.3-contributor
* 🐛 Fix flaky assertion in climit republish test
Read the last published waiting value instead of the exact
publication list. The sampler thread started with the component
runs its first tick asynchronously, and when it lands inside the
recording window it publishes the same count twice, which made
the full-suite CI run fail while focused runs stayed green.
AI-assisted-by: muse-spark-1.3-contributor
* ✨ Add file_data blob to JSON decode helper
Allow decoding file_data blobs (app.util.blob) to JSON
for investigations with jq, offline from a blob file or
from nREPL with the backend running.
AI-assisted-by: muse-spark-1.3-contributor
* ✨ Add validation step timings to update-file logs and metrics
Measure the six phases inside process-changes-and-validate
(resolve-libs, process-changes, soft and hard affected and
schema validations) with tpoint and try/finally, so timings
are recorded even when a hard validation throws.
Publish each phase to a new histogram
penpot_rpc_update_file_validation_timing with a fixed step
label using the request buckets (up to 60000 ms), and extend
the update-file debug log with the same *-ms fields plus
file, project and team ids. The deferred log only runs on
success, so failures get an inline error log with partial
timings.
AI-assisted-by: muse-spark-1.3-contributor
* 💄 Translate decode-file-data comments to English
Translate the Spanish docstrings, section headers and test
messages of the file_data decode helper to English, keeping
code untouched. The repo convention is English in code and
comments; the helper was first written in Spanish.
AI-assisted-by: muse-spark-1.3-contributor
