v0.6.0

[v0.6.0] - 2025-08-01

🚀 Major Architectural Optimization: LLL Lock Elimination

• 🔥 Eliminated LLL: Removed the Library Loading Lock (LLL), a performance killer comparable to Python's GIL
• ⚡ Lock-free library loading: Replaced Mutex with DashMap lock-free concurrent HashMap
• 🎯 Function caching: Implemented library function caching to avoid repeated lookups and parsing
• 📊 Performance monitoring: Added cache hit rate statistics and performance analysis tools

🛠️ Core Technical Improvements

• 🔧 Modern data structures: Introduced DashMap 5.5 high-performance concurrent HashMap
• ⚡ Fast-path optimization: Library calls prioritize cache access to minimize lock contention
• 🎯 Smart caching strategy: Separated library loading from function caching for efficiency
• 📈 Batch operation support: Laid technical foundation for future MML optimization

📊 Performance Improvements

• 🚀 Fibonacci calculation: 18.3% faster (3.186ms → 2.603ms)
• ⚡ Loop-intensive: 0.6% faster (1353ms → 1344ms)
• 🎯 Library function calls: Significantly reduced lock contention (especially for std::println)
• 💾 Memory efficiency: Optimized memory usage patterns for library loading

🔧 Developer Experience Improvements

• 📊 Performance stats API: Added get_library_performance_stats() and other monitoring functions
• 🧹 Cache management: Provided clear_library_cache() and other cache utilities
• 🚀 Preloading mechanism: Added preload_common_libraries() for common libraries
• 🔍 Debugging enhancements: Detailed library loading logs and performance analysis

🐛 Bug Fixes

• 🛡️ Thread safety: Fixed potential race conditions during library loading
• 💾 Memory leaks: Optimized memory management for function caching
• 🔄 Redundant loading: Prevented duplicate library loading and initialization

🏗️ Architectural Refactoring

• 📦 Modular design: Refactored library_loader module for better maintainability
• 🎯 Responsibility separation: Separated library loading, function caching, and performance monitoring
• 🔧 Extensibility: Established foundation for future MML optimization and JIT compilation

📈 Technical Debt Reduction

• 🧹 Code cleanup: Removed obsolete library lock-related code
• 📝 Documentation update: Enhanced technical docs for library loading mechanisms
• 🔍 Performance analysis: Established comprehensive performance testing framework

🎯 Next Steps

• 🔥 MML lock optimization: Next target is Memory Management Lock elimination
• ⚡ JIT compilation: Implement just-in-time compilation for loop-intensive code
• 🚀 Parallelization: Optimize for multi-threaded parallel execution

💡 Technical Insight

This version proves the feasibility of lock-free optimization. While LLL optimization provided limited gains (main bottleneck has shifted to MML), it establishes a crucial foundation for systematic optimization. Eliminating LLL is a key milestone in CodeNothing's journey toward high performance.

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[v0.6.0] - 2025-08-01

🚀 重大架构优化：LLL锁消除

• 🔥 彻底干掉LLL: 消除了Library Loading Lock库加载锁（这个堪比Python GIL的性能杀手）
• ⚡ 无锁库加载: 使用DashMap无锁并发HashMap替代Mutex
• 🎯 函数缓存机制: 实现库函数缓存，避免重复的库函数查找和解析
• 📊 性能监控: 添加缓存命中率统计和性能分析工具

🛠️ 核心技术改进

• 🔧 现代化数据结构: 引入DashMap 5.5高性能并发HashMap
• ⚡ 快速路径优化: 库函数调用优先从缓存获取，显著减少锁竞争
• 🎯 智能缓存策略: 分离库加载和函数缓存，提升访问效率
• 📈 批量操作支持: 为后续MML优化奠定技术基础

📊 性能提升

• 🚀 斐波那契计算: 18.3%性能提升 (3.186ms → 2.603ms)
• ⚡ 循环密集型: 0.6%性能提升 (1353ms → 1344ms)
• 🎯 库函数调用: 显著减少锁竞争（特别是std::println等高频函数）
• 💾 内存效率: 优化库加载内存使用模式

🔧 开发者体验改进

• 📊 性能统计API: 新增get_library_performance_stats()等监控函数
• 🧹 缓存管理: 提供clear_library_cache()等缓存管理工具
• 🚀 预加载机制: 支持preload_common_libraries()预加载常用库
• 🔍 调试增强: 详细的库加载日志和性能分析

🐛 Bug修复

• 🛡️ 线程安全: 修复库加载过程中的潜在竞态条件
• 💾 内存泄漏: 优化库函数缓存的内存管理
• 🔄 重复加载: 防止同一库的重复加载和初始化

🏗️ 架构重构

• 📦 模块化设计: 重构library_loader模块，提升代码可维护性
• 🎯 职责分离: 分离库加载、函数缓存、性能监控等职责
• 🔧 扩展性: 为后续MML锁优化和JIT编译奠定架构基础

📈 技术债务清理

• 🧹 代码清理: 移除过时的库加载锁相关代码
• 📝 文档更新: 完善库加载机制的技术文档
• 🔍 性能分析: 建立完整的性能测试和分析体系

🎯 下一步规划

• 🔥 MML锁优化: 下一个目标是消除Memory Management Lock
• ⚡ JIT编译: 为循环密集型代码实现即时编译
• 🚀 并行化: 实现多线程并行执行优化

💡 技术洞察

本版本证明了无锁优化的可行性。虽然LLL优化的性能提升有限（主要瓶颈已转移到MML（Memory Management Lock 内存管理锁）），但为后续系统性优化奠定了重要基础。消除LLL锁是CodeNothing走向高性能的关键一步。

Full Changelog: CodeNothingCommunity/CodeNothing@v0.5.11...v0.6.0