Database Query Optimization - 75% Performance Gain
University Projects #Databases
Overview
Database performance research quantifying the tradeoffs between query speed improvements and storage overhead when implementing B+ tree indexes. View the full report here.
Key Achievements
- Achieved 75% faster query runtimes with indexing
- Quantified storage tradeoff as 316% increase in storage overhead
- Created documentation supporting optimization decisions with empirical data
Implementation
- Analyzed query execution plans to identify bottlenecks
- Utilized B+ tree indexes on high-impact columns
- Benchmarked query runtimes before and after indexing
Technologies
SQLite, B+ Tree Indexes, Query Execution Plans, Database Performance Analysis