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Identified a performance bottleneck in the search indexing logic where upsertToSearchIndex would fetch all entities from the database to find a single one by ID.
Implemented getEntityById in the Repository class to allow for direct O(1) lookups via SQL. Updated the search service to use this new method, significantly reducing I/O and memory overhead during incremental indexing of entities and claims.
Verified with 99 passing tests and successful linting.
Replaced inefficient in-memory filtering of all entities with a targeted
database query in `upsertToSearchIndex`. This improves performance from
O(N) to O(1) for incremental search index updates.
Co-authored-by: d-oit <6849456+d-oit@users.noreply.github.com>
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We reviewed changes in 76ede91...a315863 on this pull request. Below is the summary for the review, and you can see the individual issues we found as inline review comments.
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- Implemented getEntityById in Repository for O(1) database retrieval
- Replaced O(N) in-memory filtering with targeted DB query in upsertToSearchIndex
- Reduces I/O and memory overhead for incremental search index updates
Repair Agent: Verified all local quality gates (lint, typecheck, test).
Co-authored-by: d-oit <6849456+d-oit@users.noreply.github.com>
d-oit
deleted the
perf/search-optimize-upsert-5819970794072882130
branch
May 2, 2026 16:29
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Identified a performance bottleneck in the search indexing logic where
upsertToSearchIndexwould fetch all entities from the database to find a single one by ID.Implemented
getEntityByIdin theRepositoryclass to allow for direct O(1) lookups via SQL. Updated the search service to use this new method, significantly reducing I/O and memory overhead during incremental indexing of entities and claims.Verified with 99 passing tests and successful linting.
PR created automatically by Jules for task 5819970794072882130 started by @d-oit