⚡ Bolt: [performance] Optimize Job Event Sequence Number Generation - #144
⚡ Bolt: [performance] Optimize Job Event Sequence Number Generation#144crabcanon wants to merge 1 commit into
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… sequence calculation Replaced `list_for_job(...)` pattern, which needlessly loads up to 1000 events into application memory, with a highly efficient `get_max_sequence_no` method that performs an SQL aggregation `func.max(JobEventModel.sequence_no)` returning a scalar. Applied optimization across all Job Event producers (API, parse, synthesis, evaluation, and knowledge). Co-authored-by: crabcanon <3458947+crabcanon@users.noreply.github.com>
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💡 What: Added
get_max_sequence_noSQL aggregate repository method and refactored consumers to use it instead of loading a list of models just to inspect the final sequence number.🎯 Why: An anti-pattern was loading up to 1000
JobEventRecordobjects per calculation into memory merely to compute thenext_sequence_no, wasting memory and causing excessive DB response payload size overhead.📊 Impact: Changes O(N) memory allocation and large query payloads into an O(1) DB aggregation operation. Vastly speeds up sequence generation, especially under load when a job has generated a substantial history.
🔬 Measurement: Verify changes in DB query logs. You can run Python tests
pytest tests/integration/test_api_auth_jobs.pyto ensure core auth flows still accurately build job metadata.PR created automatically by Jules for task 182066776589195764 started by @crabcanon