apache/doris
Dec 2025 – Dec 2025
1 Month active
Languages Used
C++JavaSQL
Technical Skills
C++C++ programmingJavabackend developmentdata aggregationdatabase development
Jover
PROFILE
Jover
In December 2025, Joverzh developed regression analysis capabilities for aggregate functions in the apache/doris repository, focusing on accurate statistical computation for analytics workloads. He implemented the Youngs-Cramer algorithm in C++ to support REGR_SLOPE and REGR_INTERCEPT, ensuring compatibility with PostgreSQL semantics. By unifying the logic for regr_sxx, regr_syy, and regr_sxy into a shared AggregateFunctionRegrData path, Joverzh reduced code duplication and standardized state management. This approach improved maintainability and extensibility for all REGR_* variants. His work leveraged C++ and SQL, enhancing Doris’s backend data aggregation and statistical analysis features while aligning with industry standards for interoperability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
1,100
Activity Months1
Your Network
110 peopleWork History
December 2025
2 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for Apache Doris development focusing on regression analysis capabilities in aggregate functions. Implemented a Youngs-Cramer based regression for REGR_SLOPE and REGR_INTERCEPT, aligning semantics with PostgreSQL. Unified the regression state and logic for regr_sxx, regr_syy, and regr_sxy onto a shared AggregateFunctionRegrData path, enabling reuse across all REGR_* variants (SXX, SYY, SXY, R2, etc.). Improved maintainability and testability by consolidating regression code, and enhanced analytics interoperability for downstream business metrics.
2 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for Apache Doris development focusing on regression analysis capabilities in aggregate functions. Implemented a Youngs-Cramer based regression for REGR_SLOPE and REGR_INTERCEPT, aligning semantics with PostgreSQL. Unified the regression state and logic for regr_sxx, regr_syy, and regr_sxy onto a shared AggregateFunctionRegrData path, enabling reuse across all REGR_* variants (SXX, SYY, SXY, R2, etc.). Improved maintainability and testability by consolidating regression code, and enhanced analytics interoperability for downstream business metrics.
December 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture100.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++JavaSQL
Technical Skills
C++C++ programmingJavabackend developmentdata aggregationdatabase developmentstatistical analysis
Repositories Contributed To
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