⚡ Bolt: [performance improvement] O(1) column position tracking#631
⚡ Bolt: [performance improvement] O(1) column position tracking#631seonghobae wants to merge 1 commit into
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💡 What: Replaced an inline O(N) generator expression (`sum(1 for ...)`) inside a loop with an O(1) dictionary counter for tracking column positions during DBML parsing. 🎯 Why: The original logic had O(N^2) time complexity, creating a performance bottleneck when parsing DBML schemas with a large number of columns in a single table. 📊 Impact: Reduces time complexity of column position parsing from O(N^2) to O(N), which will significantly improve processing time for large DBML files. 🔬 Measurement: Verified using backend test suite (pytest) to ensure functional parity. Performance improvement scales non-linearly with DBML table size.
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Pull request overview
Optimizes the DBML importer in the backend spec pipeline by making column position tracking O(1) per parsed column, reducing overall parsing time for large DBML tables.
Changes:
- Replaced per-column
sum(1 for ...)counting with a per-tabledict[int, int]counter to computecolumn_positionin O(1). - Added a Bolt learning note documenting the optimization pattern.
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 1 comment.
| File | Description |
|---|---|
| backend/app/spec/dbml_import.py | Uses a per-relation counter to assign column_position in O(1) during DBML parsing. |
| .Jules/bolt.md | Records the performance learning/action for avoiding O(n²) counting in parsing loops. |
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| ## 2025-06-27 - [Map Initialization Overhead] | ||
| **Learning:** Initializing Maps with `new Map(array.map(...))` creates unnecessary intermediate arrays, consuming memory and triggering garbage collection overhead, especially noticeable when dealing with many nodes. | ||
| **Action:** Use a `for...of` loop to directly `map.set()` elements rather than creating an intermediate array of tuples, especially in frequently executed or rendering paths. | ||
| ## $(date +%Y-%m-%d) - [O(1) Dictionary Lookup for DBML parsing] |
💡 What: Replaced an inline O(N) generator expression (
sum(1 for ...)) inside a loop with an O(1) dictionary counter for tracking column positions during DBML parsing.🎯 Why: The original logic had O(N^2) time complexity, creating a performance bottleneck when parsing DBML schemas with a large number of columns in a single table.
📊 Impact: Reduces time complexity of column position parsing from O(N^2) to O(N), which will significantly improve processing time for large DBML files.
🔬 Measurement: Verified using backend test suite (pytest) to ensure functional parity. Performance improvement scales non-linearly with DBML table size.
PR created automatically by Jules for task 10360848842948572850 started by @seonghobae