⚡ Optimize Google Sheets Webhook with Bulk Inserts for Post Keywords - #86
⚡ Optimize Google Sheets Webhook with Bulk Inserts for Post Keywords#86Sparkier wants to merge 1 commit into
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This commit resolves an N+1 query issue in the Google Sheets webhook endpoint. Instead of calling Supabase's `insert()` inside the processing loop for every post's keywords, we now accumulate all relations into an array and perform a single bulk insert operation after the loop completes. This reduces the number of database queries scaling linearly with the number of processed rows with keywords to a single constant overhead query, which significantly improves latency. Co-authored-by: Sparkier <5690524+Sparkier@users.noreply.github.com>
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🎯 What
Optimized the Google Sheets webhook endpoint by removing the N+1 database queries when associating keywords to newly inserted posts.
postkeywordrelation objects are now gathered into an array during iteration and inserted via a single bulkinsertoperation after the loop.📊 Coverage
Tests are green. This logic is covered by the existing webhook unit tests (
src/routes/api/webhooks/google-sheets/server.test.ts), which were successfully ran.✨ Result
Measured via the existing benchmark script
src/routes/api/webhooks/google-sheets/perf.test.tsprocessing 2000 mock rows:The overhead reduction is noticeable even with mock objects. In a real-world scenario with network roundtrips to the Supabase Postgres instance, skipping hundreds or thousands of individual HTTP requests for the N+1
insert()queries will yield massive latency and DB load improvements.PR created automatically by Jules for task 9277142641453024454 started by @Sparkier