activeloopai/deeplake
Dec 2025 – Jan 2026
2 Months active
Languages Used
C++Python
Technical Skills
C++ developmentDatabase managementDuckDBPostgreSQLQuery optimizationSoftware testing
Vahan Stepanyan
PROFILE
Vahan Stepanyan
Developed a PostgreSQL to DuckDB query translation layer for the activeloopai/deeplake repository, enabling PostgreSQL JSON queries to run seamlessly against a DuckDB backend. The work involved designing comprehensive translation rules for JSON operators, type casts, timestamp functions, and date operations, with a focus on accuracy and compatibility. Tests were migrated from C++ to Python using pytest, improving maintainability and reliability across database engines. Further enhancements included support for BETWEEN clauses and robust handling of SQL keywords as identifiers, particularly for TPCH queries. The project leveraged C++, Python, and SQL, emphasizing thorough testing and cross-database query compatibility.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
2,751
Activity Months2
Your Network
8 peopleSame Organization
@activeloop.ai3
Work History
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026: Delivered a targeted enhancement to the PG to DuckDB translator in activeloopai/deeplake to properly translate BETWEEN clauses and handle SQL keywords used as identifiers. This work includes robust TPCH-query support and accompanying tests to validate translation accuracy, reducing translation errors and improving analytics reliability.
1 Commits • 1 Features
Jan 1, 2026January 2026: Delivered a targeted enhancement to the PG to DuckDB translator in activeloopai/deeplake to properly translate BETWEEN clauses and handle SQL keywords used as identifiers. This work includes robust TPCH-query support and accompanying tests to validate translation accuracy, reducing translation errors and improving analytics reliability.
January 2026
December 2025
2 Commits • 1 Features
Dec 1, 2025Monthly summary for 2025-12: Implemented a PostgreSQL to DuckDB query translation layer for activeloopai/deeplake, including translation rules for PostgreSQL JSON queries to DuckDB syntax and coverage of differences in JSON operators, type casts, timestamp functions, and date operations. Migrated tests from C++ to Python pytest to enhance maintainability and cross-engine compatibility, with a focus on verifying translation accuracy from PostgreSQL to DuckDB syntax.
December 2025
2 Commits • 1 Features
Dec 1, 2025Monthly summary for 2025-12: Implemented a PostgreSQL to DuckDB query translation layer for activeloopai/deeplake, including translation rules for PostgreSQL JSON queries to DuckDB syntax and coverage of differences in JSON operators, type casts, timestamp functions, and date operations. Migrated tests from C++ to Python pytest to enhance maintainability and cross-engine compatibility, with a focus on verifying translation accuracy from PostgreSQL to DuckDB syntax.
Activity
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Quality Metrics
Correctness100.0%
Maintainability86.6%
Architecture93.4%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
C++ developmentDatabase ManagementDatabase managementDuckDBPostgreSQLQuery optimizationSQLSoftware testingTestingdatabase testingpytestunit testing
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