
Worked on the pinterest/starrocks repository to deliver Trino dialect enhancements focused on cross-engine SQL compatibility and improved query performance. Developed support for the INSERT INTO syntax and extended the extract function to handle dow and week parameters, enabling more accurate query parsing and scheduling. Introduced a session variable to control fallback parsing from Trino to StarRocks dialect, reducing parsing errors and broadening client tool compatibility. Added the jodatime_format function for consistent date-time formatting, supporting efficient partition pruning and transformations. The work leveraged Java, SQL, and backend development skills to address complex database connector and date-time handling requirements.
November 2024: Delivered critical Trino dialect enhancements and date-time formatting support in pinterest/starrocks, improving cross-engine compatibility and query performance. Implemented INSERT INTO syntax in the Trino dialect and enhanced extract to support dow and week parameters, enabling accurate parsing, scheduling, and partitioning. Introduced a safe fallback via the session variable enable_dialect_downgrade to control fallback parsing from Trino to StarRocks dialect when Trino parsing fails. Added jodatime_format for consistent date-time formatting to support partition pruning and transformations. These changes reduce parsing errors, improve partition pruning efficiency, and broaden compatibility with client tools.
November 2024: Delivered critical Trino dialect enhancements and date-time formatting support in pinterest/starrocks, improving cross-engine compatibility and query performance. Implemented INSERT INTO syntax in the Trino dialect and enhanced extract to support dow and week parameters, enabling accurate parsing, scheduling, and partitioning. Introduced a safe fallback via the session variable enable_dialect_downgrade to control fallback parsing from Trino to StarRocks dialect when Trino parsing fails. Added jodatime_format for consistent date-time formatting to support partition pruning and transformations. These changes reduce parsing errors, improve partition pruning efficiency, and broaden compatibility with client tools.

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