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Description
After profiling qs
with various input patterns, I've noticed some potential optimization opportunities that could improve performance, particularly for complex nested objects and high-traffic scenarios.
Areas Identified
1. Regex Compilation Overhead
Regex objects are recreated on each function call, which adds overhead in parsing-heavy workloads.
2. String Processing Efficiency
Multiple sequential string operations could potentially be combined for better performance.
3. Memory Allocation Patterns
Several hot paths create temporary objects that could potentially be optimized.
I see potential for 15-25% performance improvements in certain scenarios, particularly:
- Complex nested object parsing
- High-frequency parsing operations
- Large query strings
- Is performance optimization a current priority for the project?
- What's the preferred approach for performance changes (separate PRs, comprehensive analysis first, etc.)?
If performance improvements would be valuable, I can:
- Ensure zero behavioral changes
- Maintain full backward compatibility
Would this type of contribution be helpful?
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