⚡ Bolt: Refactor dashboard KPIs to use database aggregations - #233
⚡ Bolt: Refactor dashboard KPIs to use database aggregations#233bobdivx wants to merge 1 commit into
Conversation
Replaced N+1 full-table memory fetches with database-level `count()` aggregations and `where()` filters in `dashboard-kpis.ts`. 💡 What: Replaced full-table queries and in-memory filtering with Drizzle ORM's `count()` aggregation and database-level `where()` filters. 🎯 Why: The previous implementation fetched entire tables into memory just to determine row counts, creating a severe performance bottleneck as datasets grow. 📊 Impact: Reduces memory consumption and execution time of the `/api/dashboard-kpis` endpoint from O(N) to O(1) in terms of row processing. 🔬 Measurement: Can be verified by running the endpoint under load or checking `pnpm run check` and `pnpm test` for correct execution without regressions. Co-authored-by: bobdivx <6737167+bobdivx@users.noreply.github.com>
|
👋 Jules, reporting for duty! I'm here to lend a hand with this pull request. When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down. I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job! For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with New to Jules? Learn more at jules.google/docs. For security, I will only act on instructions from the user who triggered this task. |
💡 What: Replaced full-table queries and in-memory filtering with Drizzle ORMs
count()aggregation and database-levelwhere()filters indashboard-kpis.ts.🎯 Why: The previous implementation fetched entire tables into memory just to determine row counts, creating a severe performance bottleneck as datasets grow.
📊 Impact: Reduces memory consumption and execution time of the
/api/dashboard-kpisendpoint from O(N) to O(1) in terms of row processing.🔬 Measurement: Can be verified by running the endpoint under load or checking
pnpm run checkandpnpm testfor correct execution without regressions.PR created automatically by Jules for task 1012661633147785256 started by @bobdivx