percona/percona-server-mongodb
May 2025 – Jul 2025
2 Months active
Languages Used
C++JavaScript
Technical Skills
Aggregation FrameworkBackend DevelopmentDatabase InternalsDatabase TestingPerformance TuningQuery Optimization
Carlos Alonso
PROFILE
Carlos Alonso
Carlos Alonso contributed to the percona/percona-server-mongodb repository by engineering targeted backend and query optimization features using C++ and JavaScript. He improved test reliability for lookup aggregation by introducing a secondary co-location check, reducing false positives and enhancing release confidence. Carlos also enhanced the query optimizer to prune trivially false $elemMatch expressions, enabling faster query execution. In a subsequent feature, he optimized the query planner to push down filter predicates into IXSCAN, minimizing the need for FETCH during indexed sorts. His work demonstrated depth in database internals, performance tuning, and software testing, addressing both correctness and efficiency in production workloads.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
1,152
Activity Months2
Your Network
522 people
Work History
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025: Focused feature delivery on performance-oriented improvements in the percona-server-mongodb project. The primary accomplishment is an optimization in the query planner that pushes down eligible filter predicates into IXSCAN, reducing the need for the FETCH stage when querying with indexed sorts.
1 Commits • 1 Features
Jul 1, 2025July 2025: Focused feature delivery on performance-oriented improvements in the percona-server-mongodb project. The primary accomplishment is an optimization in the query planner that pushes down eligible filter predicates into IXSCAN, reducing the need for the FETCH stage when querying with indexed sorts.
July 2025
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 Monthly Summary — percona/percona-server-mongodb Focused on improving test reliability and query performance for stable, scalable operations in production workloads. Delivered targeted fixes and optimization that reduce false positives in test suites and enable faster query pruning, contributing to higher confidence in release readiness and better runtime performance for common workloads.
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 Monthly Summary — percona/percona-server-mongodb Focused on improving test reliability and query performance for stable, scalable operations in production workloads. Delivered targeted fixes and optimization that reduce false positives in test suites and enable faster query pruning, contributing to higher confidence in release readiness and better runtime performance for common workloads.
Activity
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Quality Metrics
Correctness93.4%
Maintainability86.6%
Architecture80.0%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++JavaScript
Technical Skills
Aggregation FrameworkBackend DevelopmentDatabase InternalsDatabase OptimizationDatabase TestingIndex ManagementPerformance TuningQuery OptimizationQuery PlanningSoftware TestingTesting
Repositories Contributed To
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