Implementing PlanetScale Insights improvement. ## Summary Validating a schedule (creating or updating one through the API or the dashboard, and deploying a project that declares schedules) looks up the newest version of a task by slug. That lookup reads *every* version of the task and sorts them to return one. A project gains a row per task on every deploy, so the work grows with the project's age: the oldest projects pay the most, and dev-mode redeploys make it worse. This was picked because it was the largest single consumer of database time on the schedules path, and the fix is a sort key with no index behind it. ## Fix `BackgroundWorkerTask` is indexed on `(projectId, slug)`, which serves the equality but not the `ORDER BY createdAt DESC`. Postgres seeks the index, then bitmap-scans and top-N sorts the whole group to produce a single row. Adding `createdAt` to the index lets it scan backward and stop at the first row. The same call site also selected all 21 columns, including five JSON blobs, to read one field (`triggerSource`), so it now selects that field alone. ## Benchmark Local Postgres 17, 997,000 seeded rows / 748 MB, group sizes chosen to match the distribution seen in production. | Group size | Before | After | | --- | --- | --- | | 15,000 versions of one task | 11.118 ms, 1,510 buffers, 15,000 rows scanned | 0.027 ms, 4 buffers, 1 row | | 2,000 versions of one task | 2.081 ms, 1,455 buffers, 2,000 rows scanned | 0.022 ms, 4 buffers, 1 row | ``` before: Limit -> Sort (top-N heapsort) -> Bitmap Heap Scan after: Limit -> Index Scan Backward using BackgroundWorkerTask_projectId_slug_createdAt_idx ``` An ascending index scanned backward is enough here, so no descending index is needed. ## Impact and risk Real-world gain lands between the two rows above and scales with how many deploys a project has accumulated. Projects with few deploys will see little change, since there is barely anything to sort. The new index costs noticeably more than the existing two-column one: 43 MB against 7.3 MB on the benchmark rig. Adding `createdAt` makes every key unique, which defeats btree deduplication, so this is a real disk and write cost rather than a rounding error. Writes to this table happen at deploy time, not on the run path, so the write amplification is acceptable. The existing `(projectId, slug)` index is now a redundant prefix and could be dropped, but this PR keeps it so index usage can be observed before removing it. Behavior is unchanged: same predicate, same ordering, same row returned. The narrowed select is the only code change, and the field it keeps is the only one the caller read. Deploy note: the migration is `20260806100000_add_background_worker_task_project_id_slug_created_at_index` and uses `CREATE INDEX CONCURRENTLY IF NOT EXISTS`, so it can be pre-applied by hand before the deploy.
Server Changes
This directory tracks changes to server-only components (webapp, supervisor, etc.) that are not captured by changesets. Changesets only track published npm packages — server changes would otherwise go undocumented.
When to add a file
Server-only PRs: If your PR only changes apps/webapp/, apps/supervisor/, or other server components (and does NOT change anything in packages/), add a .server-changes/ file.
Mixed PRs (both packages and server): Just add a changeset as usual. No .server-changes/ file needed — the changeset covers it.
Package-only PRs: Just add a changeset as usual.
File format
Create a markdown file with a descriptive name:
.server-changes/fix-batch-queue-stalls.md
With this format:
---
area: webapp
type: fix
---
Speed up batch queue processing by removing stalls and fixing retry race
Fields
- area (required):
webapp|supervisor - type (required):
feature|fix|improvement|breaking
Description
The body text (below the frontmatter) is a one-line description of the change. Keep it concise — it will appear in release notes.
Writing guidance
These entries are public-facing - they ship verbatim in user-visible release notes. A few rules to keep them clean:
- Write for the user, not the reviewer. Lead with what the user notices or has to do. If a reader who doesn't know the codebase can't tell what changed for them, rewrite it.
- One sentence is usually enough. The body is the bullet in the changelog. If you need a paragraph, you're probably describing the implementation rather than the change.
- Describe behavior, not implementation. Skip internal scopes, middleware names, library specifics, framework internals. Users care about what's different for them, not how it's wired.
- Never name internal tools or infra. Observability stacks, internal services, infra components, monitoring backends, CI surfaces, AWS specifics - none of these belong in user-facing notes.
Before / after:
- ❌ "The image verification step now parses the manifest's layer media types and returns a new result the finalizer rejects." (describes the wiring; a user can't act on it)
- ✅ "Deploying with an outdated CLI could produce an image that fails to start on every run. These deploys are now stopped before going live, with a message asking you to upgrade the CLI and re-deploy." (what the user sees and does)
Lifecycle
- Engineer adds a
.server-changes/file in their PR - Files accumulate on
mainas PRs merge - The changeset release PR includes these in its summary
- After the release merges, CI cleans up the consumed files
Examples
New feature:
---
area: webapp
type: feature
---
TRQL query language and the Query page
Bug fix:
---
area: webapp
type: fix
---
Fix schedule limit counting for orgs with custom limits
Improvement:
---
area: webapp
type: improvement
---
Use the replica for API auth queries to reduce primary load