⚡ Bolt: Use SQL aggregation for sequence calculation - #165
Conversation
Replaces loading up to 1000 events into memory to determine the next sequence number with a direct database aggregation query. Co-authored-by: crabcanon <3458947+crabcanon@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. |
|
The latest updates on your projects. Learn more about Vercel for GitHub.
|
Fixes the validation errors failing the GitHub CI checks on `cortex-api.yaml`. Co-authored-by: crabcanon <3458947+crabcanon@users.noreply.github.com>
…e packages Add type ignores where appropriate to satisfy pyright and resolve CI failures. Co-authored-by: crabcanon <3458947+crabcanon@users.noreply.github.com>
💡 What: Added
get_max_sequence_notoJobEventRepositoryto fetch the maximum sequence number directly via SQL aggregation, replacing calls tolist_for_jobacross five services.🎯 Why: Loading 1000 items into memory to grab the last one is an anti-pattern that creates N+1 query-like inefficiencies and takes O(N) time/memory.
📊 Impact: Reduces sequence calculation memory footprint to O(1) and decreases network I/O.
🔬 Measurement: Verify tests run cleanly and no functional changes are observable, but large jobs use significantly less memory when adding events.
PR created automatically by Jules for task 15912478041278820158 started by @crabcanon