⚡ Bolt: optimize get_active_lendings with aggregation pipeline#20
⚡ Bolt: optimize get_active_lendings with aggregation pipeline#20
Conversation
Implemented a MongoDB aggregation pipeline in `LendingService.get_active_lendings` to replace the previous N+1 query pattern. 💡 What: Replaced loop-based lookups for tools and workers with a single `$lookup` based aggregation. 🎯 Why: Reduces database roundtrips from 1+2N to 1, significantly improving performance as the number of active lendings grows. 📊 Impact: Expect >90% reduction in database load for pages displaying many active lendings. 🔬 Measurement: Verified with a test script that the output remains identical while database calls are consolidated. Co-authored-by: Woschj <81321922+Woschj@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. |
1 participant
This PR introduces a performance optimization to the
LendingService.get_active_lendingsmethod.Previously, the method would first fetch all active lendings and then iterate over them to fetch the corresponding tool and worker information using separate
find_onecalls. This resulted in an N+1 query problem, where the number of database queries scaled linearly with the number of active lendings.The optimized implementation uses a single MongoDB aggregation pipeline with
$lookupstages to join thetoolsandworkerscollections at the database level. This reduces the total number of database roundtrips to exactly one, regardless of the number of records.The output format and data integrity are preserved, as verified by unit testing and manual verification scripts.
PR created automatically by Jules for task 14576665742162024444 started by @Woschj