perf(webapp,database): index the newest-task-version lookup (#4518)
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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.
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@@ -0,0 +1,6 @@
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---
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area: webapp
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type: improvement
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---
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Creating or updating a schedule, and deploying a project with declarative schedules, is faster in long-lived projects with many deploys.
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@@ -45,6 +45,9 @@ export class CheckScheduleService extends BaseService {
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slug: schedule.taskIdentifier,
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projectId: projectId,
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},
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select: {
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triggerSource: true,
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},
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orderBy: {
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createdAt: "desc",
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},
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+1
@@ -0,0 +1 @@
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CREATE INDEX CONCURRENTLY IF NOT EXISTS "BackgroundWorkerTask_projectId_slug_createdAt_idx" ON "public"."BackgroundWorkerTask"("projectId", "slug", "createdAt");
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@@ -752,6 +752,7 @@ model BackgroundWorkerTask {
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@@unique([workerId, slug])
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// Quick lookup of task identifiers
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@@index([projectId, slug])
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@@index([projectId, slug, createdAt])
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@@index([runtimeEnvironmentId, projectId])
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@@index([runtimeEnvironmentId, slug, triggerSource])
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}
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