
Worked on enhancing Apache Doris by implementing advanced regression analysis capabilities directly within SQL aggregate functions. Leveraging C++, Java, and SQL, the developer unified regression logic using the Youngs-Cramer algorithm, enabling accurate calculation of regression slope, intercept, and related statistics. This approach consolidated multiple regression functions onto a shared code path, improving maintainability and aligning Doris semantics with PostgreSQL for analytics interoperability. Additionally, comprehensive documentation was delivered in both English and Chinese, supporting broader adoption. The work spanned both the core apache/doris repository and its documentation site, demonstrating strong backend development, data aggregation, and statistical analysis skills throughout the project.
Concise monthly summary for 2026-04 focusing on delivering regression analytics capabilities in Doris and corresponding documentation. The month centered on finishing core feature delivery for regression aggregate functions and aligning website docs to enhance usability and adoption across data teams.
Concise monthly summary for 2026-04 focusing on delivering regression analytics capabilities in Doris and corresponding documentation. The month centered on finishing core feature delivery for regression aggregate functions and aligning website docs to enhance usability and adoption across data teams.
December 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 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.

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