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Aleksandr Kopytov

PROFILE

Aleksandr Kopytov

Andrey Kopytov focused on improving the stability and correctness of the GreengageDB/greengage database engine over a three-month period. He addressed complex issues in SQL query processing, such as enhancing GROUP BY validation to align with PostgreSQL semantics and fixing edge cases involving ungrouped attributes. Using C++ and SQL, Andrey resolved assertion failures in append-optimized tables with GIN indexes by refining offset handling in GinPostingList decompression, which improved reliability during development and testing. He also unified DXL TestExpr parameter handling for subqueries, reducing runtime errors and strengthening the robustness of query planning and execution within the repository.

Overall Statistics

Feature vs Bugs

0%Features

Repository Contributions

3Total
Bugs
3
Commits
3
Features
0
Lines of code
4,859
Activity Months3

Work History

March 2025

1 Commits

Mar 1, 2025

March 2025 monthly summary for GreengageDB/greengage focused on stabilizing DXL handling for subqueries by fixing TestExpr parameter handling and improving translation to execution plans. This work reduces runtime errors and improves robustness in complex query scenarios, delivering measurable value in reliability and developer efficiency.

February 2025

1 Commits

Feb 1, 2025

February 2025 — GreengageDB/greengage: Stabilized append-optimized (AO) tables with GIN indexes by fixing an assertion failure in GinPostingList decompression caused by offset mismatches between Heap and AO tables. The fix loosens the assertion in debug builds so AO tables with GIN indexes operate reliably during development and testing. The change is captured in commit 039a4595e881e1b39a360e5e8c805304fc494cad ('Fix assert when using append optimized tables with GIN index (#1241)'). This work improves reliability, reduces debugging time, and enables production readiness for AO+GIN indexing.

December 2024

1 Commits

Dec 1, 2024

December 2024 Greengage monthly summary focused on correctness and stability of SQL GROUP BY handling. Delivered robustness improvements and stronger validation around ungrouped attributes in grouping expressions, aligning behavior with PostgreSQL. Implemented a targeted fix to prevent unexpected output when grouping results lack a primary key, reducing edge-case risks across complex queries.

Activity

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Quality Metrics

Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance63.4%
AI Usage20.0%

Skills & Technologies

Programming Languages

CC++SQL

Technical Skills

C++Compiler DevelopmentDatabase InternalsDatabase OptimizationDebuggingIndex OptimizationPostgreSQL CompatibilityQuery ParsingQuery PlanningSQLTesting

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

GreengageDB/greengage

Dec 2024 Mar 2025
3 Months active

Languages Used

CC++SQL

Technical Skills

Database InternalsPostgreSQL CompatibilityQuery ParsingSQLDebuggingIndex Optimization

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