⚡️ Speed up function getDynamicStringSegments by 111%#54
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codeflash-ai[bot] wants to merge 1 commit intoreleasefrom
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⚡️ Speed up function getDynamicStringSegments by 111%#54codeflash-ai[bot] wants to merge 1 commit intoreleasefrom
getDynamicStringSegments by 111%#54codeflash-ai[bot] wants to merge 1 commit intoreleasefrom
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The optimized code achieves a **110% speedup** (from 1.45ms to 687μs) by replacing the recursive substring approach with a single-pass state machine algorithm.
**Key Performance Improvements:**
1. **Eliminated Recursion**: The original code recursively called `getDynamicStringSegments()` after finding each expression, creating a new call stack frame and processing overhead for each segment. The optimized version uses a single loop with state tracking (`inExpression` flag), eliminating all recursion overhead.
2. **Reduced String Allocations**: The original repeatedly created intermediate "rest" substrings (`rest = rest.substring(...)`) on every iteration and recursive call. The optimized version operates directly on the original `dynamicString` using index tracking (`lastIndex`, `exprStart`), only creating substrings when adding final segments to the result array.
3. **More Efficient Scanning**: Instead of re-processing the entire remaining string on each iteration, the optimized code:
- Starts from `indexOfDoubleParanStart` rather than 0
- Uses a state machine to skip over non-binding characters when `inExpression === false`
- Only examines characters inside potential expressions for brace counting
4. **Better Memory Locality**: By using indices rather than creating new string objects, the code maintains better CPU cache efficiency when accessing characters via `dynamicString[i]`.
**Test Results Show Consistent Wins:**
The optimization excels across all test patterns:
- **Adjacent bindings** (e.g., `{{a}}{{b}}{{c}}`): 89.9-880% faster - the recursive approach struggled most here
- **Complex expressions**: 85.7-261% faster - single-pass parsing handles nested braces efficiently
- **Large-scale tests** (500+ segments): 193-468% faster - linear complexity vs. recursive overhead
- **Empty/edge cases**: 46.7-437% faster - reduced overhead from avoiding unnecessary operations
The line profiler shows the hot path is now efficient character-by-character scanning (lines 61-86), with minimal overhead from substring operations performed only when necessary.
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📄 111% (1.11x) speedup for
getDynamicStringSegmentsinapp/client/src/utils/DynamicBindingUtils.ts⏱️ Runtime :
1.45 milliseconds→687 microseconds(best of10runs)📝 Explanation and details
The optimized code achieves a 110% speedup (from 1.45ms to 687μs) by replacing the recursive substring approach with a single-pass state machine algorithm.
Key Performance Improvements:
Eliminated Recursion: The original code recursively called
getDynamicStringSegments()after finding each expression, creating a new call stack frame and processing overhead for each segment. The optimized version uses a single loop with state tracking (inExpressionflag), eliminating all recursion overhead.Reduced String Allocations: The original repeatedly created intermediate "rest" substrings (
rest = rest.substring(...)) on every iteration and recursive call. The optimized version operates directly on the originaldynamicStringusing index tracking (lastIndex,exprStart), only creating substrings when adding final segments to the result array.More Efficient Scanning: Instead of re-processing the entire remaining string on each iteration, the optimized code:
indexOfDoubleParanStartrather than 0inExpression === falseBetter Memory Locality: By using indices rather than creating new string objects, the code maintains better CPU cache efficiency when accessing characters via
dynamicString[i].Test Results Show Consistent Wins:
The optimization excels across all test patterns:
{{a}}{{b}}{{c}}): 89.9-880% faster - the recursive approach struggled most hereThe line profiler shows the hot path is now efficient character-by-character scanning (lines 61-86), with minimal overhead from substring operations performed only when necessary.
✅ Correctness verification report:
🌀 Click to see Generated Regression Tests
📊 Performance Profile
View detailed line-by-line performance analysis
To edit these changes
git checkout codeflash/optimize-getDynamicStringSegments-ml2ogwtuand push.