spring-projects/spring-data-relational
May 2025 – May 2025
1 Month active
Languages Used
Java
Technical Skills
Backend DevelopmentPerformance OptimizationSQL Query Optimization
Mikhail Fedorov
PROFILE
Mikhail Fedorov
Worked on the spring-projects/spring-data-relational repository to deliver a targeted performance optimization for handling large SQL parameter lists in Java-based backend systems. Focused on improving query throughput and scalability, the work addressed inefficiencies in parameter naming that previously led to O(n^2) traversal, reducing CPU usage for applications with heavy parameter loads. By refining the way unnamed parameters were processed, the solution enhanced overall efficiency and prevented performance bottlenecks. Leveraging skills in backend development, performance optimization, and SQL query optimization, the contribution resulted in smoother application performance and better resource utilization for systems relying on Spring Data Relational with large datasets.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
6
Activity Months1
Your Network
23 peopleWork History
May 2025
1 Commits • 1 Features
May 1, 2025May 2025: Delivered a targeted performance optimization in spring-data-relational that significantly improves handling of large SQL parameter lists, reducing CPU usage and improving scalability for applications with large parameter sets. Focused on parameter naming to avoid O(n^2) traversal and included a fix for a performance bug related to handling a large number of unnamed parameters. Result: higher query throughput and smoother performance under heavy parameter loads.
1 Commits • 1 Features
May 1, 2025May 2025: Delivered a targeted performance optimization in spring-data-relational that significantly improves handling of large SQL parameter lists, reducing CPU usage and improving scalability for applications with large parameter sets. Focused on parameter naming to avoid O(n^2) traversal and included a fix for a performance bug related to handling a large number of unnamed parameters. Result: higher query throughput and smoother performance under heavy parameter loads.
May 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Java
Technical Skills
Backend DevelopmentPerformance OptimizationSQL Query Optimization
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