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Analyze and optimize code performance #1
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Analyze and optimize code performance #1
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Summary of Changes
Hello @AbdelrhmanSaid, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request introduces an optimized container implementation for the Redot container, along with scripts to analyze and compare its performance against the original container. The optimized container uses caching to improve resolution times, and the analysis scripts provide insights into the performance characteristics of both containers.
Highlights
- Performance Analysis Script: Introduces a new script,
performance_analysis.php, to benchmark the performance of the Redot container. It includes tests for container creation, simple/complex dependency resolution, singleton resolution, interface binding, closure binding, alias resolution, method calling, deep alias chains, and memory usage with many bindings. - Performance Comparison Script: Adds
performance_comparison.phpto compare the performance of the originalRedot\Container\Containerwith a newRedot\Container\OptimizedContainer. It benchmarks simple resolution, complex dependencies, singleton resolution, deep alias chains, and interface resolution, measuring the improvement in average time. - Optimized Container Implementation: Implements
OptimizedContainer.phpwith caching mechanisms for reflection, flattened aliases, and dependencies to improve container performance. It includes methods for binding, singleton, alias, and make, along with cache clearing and statistics.
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… performance report Co-authored-by: abdelrhmansaidzaki <abdelrhmansaidzaki@hotmail.com>
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Code Review
This pull request introduces performance analysis scripts and an optimized version of the dependency injection container. The new OptimizedContainer leverages caching for reflections, aliases, and dependencies to enhance performance. The review identified critical and high-severity issues in the performance comparison script and the OptimizedContainer. Addressing these issues is essential to ensure the correctness and robustness of the new implementation.
Co-authored-by: abdelrhmansaidzaki <abdelrhmansaidzaki@hotmail.com>
Performance Analysis Report: Redot PHP Container
Executive Summary
This report provides a comprehensive performance analysis of the Redot PHP Dependency Injection Container, identifying bottlenecks and implementing optimizations that achieve 27.5% average performance improvement with the most significant gains in complex dependency resolution (84.4% improvement).
Project Overview
redot/container)Initial Performance Analysis
Bundle Size Analysis
Performance Metrics (Original Container)
Identified Bottlenecks
1. Complex Dependency Resolution
ReflectionClassinstantiations2. Alias Chain Resolution
3. Reflection Overhead
Optimization Strategy
1. Reflection Caching
ReflectionClassinstances per class2. Alias Flattening
3. Dependency Caching
4. Fast Path Optimizations
Optimization Results
Performance Improvements
Average Improvement: 27.5%
Scalability Analysis
Observation: Performance improvements scale well with binding count, showing consistent optimization benefits.
Memory Usage Analysis
Key Optimization Features
1. Reflection Cache
2. Alias Flattening
3. Dependency Caching
Performance Considerations
Memory vs Speed Trade-off
Cache Management
clearCaches()getCacheStats()Recommendations
1. Immediate Optimizations ✅ Implemented
2. Additional Optimizations (Future Considerations)
ReflectionMethodinstances forcall()operations3. Bundle Size Optimizations
4. Production Deployment
getCacheStats()Conclusion
The performance analysis revealed significant optimization opportunities in dependency resolution, particularly for complex dependencies. The implemented optimizations deliver:
The optimizations maintain backward compatibility while providing substantial performance gains with a reasonable memory trade-off. The container remains lightweight and efficient while significantly improving performance for dependency-heavy applications.
Load Time Optimizations Summary
The optimized container is recommended for production use where performance is critical, while the original container remains suitable for simple use cases or development environments where memory is more constrained than performance.