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⚡ Bolt: Optimize Dashboard KPIs by replacing in-memory counting with SQL aggregates #68
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,4 @@ | ||
| ## 2024-05-27 - Drizzle ORM Full Table Fetch Bottlenecks | ||
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| **Learning:** When retrieving aggregate counts or checking conditions for KPIs or dashboards, performing `db.select().from(Table)` reads all records into application memory, leading to an O(N) memory and processing bottleneck. This is evident in `src/pages/api/dashboard-kpis.ts` which loads all projects, tasks, open requests, and issues. | ||
| **Action:** Replace `db.select().from(Table)` full table fetches with native SQL aggregates. Astro DB exposes the `count()`, `gte()`, `eq()`, `inArray()` helpers inside `loadAstroDb()` and they should be used to push counting to the SQL engine `db.select({ count: count() }).from(Table)`. |
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The previous implementation of status checking (
isOpenQueueStatus) was case-insensitive because it converted the status to lowercase before comparing (String(st).toLowerCase()).\n\nThe new SQL query usesinArray(AgentAppIssue.status, ['open', 'in_progress']), which is case-sensitive in SQLite/Astro DB. If there are any legacy or externally inserted records with different casing (e.g.,'Open'or'In_Progress'), they will be missed by this count.\n\nTo preserve the case-insensitive behavior, you can use thesqlhelper to lowercase the column in the query.\n\nNote: You will also need to addsqlto the destructured imports fromloadAstroDb()on line 40.