mariadb-corporation/mariadb-columnstore-engine
Apr 2026 – Apr 2026
1 Month active
Languages Used
C++SQL
Technical Skills
C++ programmingSQL query optimizationdata analysisdatabase developmentdatabase testing
Vasily Kozhukhovskiy
PROFILE
Vasily Kozhukhovskiy
During April 2026, Konstantin Ojuhovskiy focused on enhancing the stability of window function processing in the mariadb-columnstore-engine repository. He addressed a critical out-of-bounds access issue that occurred when SQL queries used multiple partition and order-by columns, which previously led to runtime errors in complex analytics workloads. Using C++ and SQL, Konstantin implemented targeted changes in rbo_groupby_wrap_columns.cpp and developed comprehensive regression tests to validate the fix across diverse window definitions. His work demonstrated strong debugging and test-driven development skills, improving the reliability of advanced analytics features and reducing production risk in performance-critical database environments.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
0
Lines of code
110
Activity Months1
Your Network
26 peopleShared Repositories
26
Work History
April 2026
2 Commits
Apr 1, 2026April 2026: Stability improvement for Columnstore window functions in the mariadb-columnstore-engine. Delivered a critical fix for out-of-bounds access when using multiple partition and order-by columns, preventing runtime errors in complex queries. Implemented changes in rbo_groupby_wrap_columns.cpp and added regression tests to validate the fix across diverse window definitions. This work enhances reliability for advanced analytics and reduces production risk.
2 Commits
Apr 1, 2026April 2026: Stability improvement for Columnstore window functions in the mariadb-columnstore-engine. Delivered a critical fix for out-of-bounds access when using multiple partition and order-by columns, preventing runtime errors in complex queries. Implemented changes in rbo_groupby_wrap_columns.cpp and added regression tests to validate the fix across diverse window definitions. This work enhances reliability for advanced analytics and reduces production risk.
April 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++SQL
Technical Skills
C++ programmingSQL query optimizationdata analysisdatabase developmentdatabase testing
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