⚡ Bolt: Replace BFS graph pathfinding with recursive CTEs#491
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DESCRIPTION: Replaced the application-layer BFS pathfinding that caused N+1 database queries with a recursive CTE for efficient in-database path traversal. IMPACT: Reduced N+1 query execution time from >100ms down to ~6ms on heavily branched graphs. Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
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✨ Finishing Touches🧪 Generate unit tests (beta)
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💡 What: Replaced the application-level Breadth-First Search (BFS) pathfinding in
find_relationship_pathwith a Recursive Common Table Expression (CTE) executed inside the database.🎯 Why: The BFS approach issued a separate SQL query to fetch outgoing relations for each node visited during traversal, causing a severe N+1 query problem. This degraded performance exponentially in deep or highly branched graphs.
📊 Measured Improvement:
0.120 seconds0.006 seconds20x fasterby eliminating N+1 queries.🔬 Measurement: Using a heavily branched graph generation script with 7 depth levels and nested noise entities, benchmarked via
test_perf.py.PR created automatically by Jules for task 5010721220587838206 started by @Theory903