mysql
♡Crafted
mysql 스터디 (Index, Partitioning, Lock, Deadlock, Sharding 등)
Clauded With Love Rating
6.8 / 10
This is a comprehensive MySQL performance optimization study project featuring 11 phases covering indexing, partitioning, concurrency control, and advanced optimization techniques with quantitative before/after analysis. The project provides structured learning from basic 1M record datasets to enterprise-scale 10M record scenarios with automated performance measurement tools.
Code Quality3.0
Usefulness8.5
Claude Usage6.0
Documentation9.0
Originality7.5
Highlights
- ✓Exceptionally detailed phase-by-phase learning roadmap with specific completion markers and quantitative performance goals
- ✓Comprehensive coverage of advanced MySQL topics including gap locks, optimizer traces, and partitioning strategies with real-world data scales
- ✓Well-structured project organization with clear separation of concerns between schemas, scripts, documentation, and performance testing components
To Improve
- →Add actual implementation code for the described scripts and tools rather than just the project structure and documentation
- →Include concrete performance benchmark results and code examples to demonstrate the claimed optimization techniques rather than just describing them