
Shirin Hasan contributed to the datametica/calcite repository by developing cross-dialect SQL features and enhancing query planning reliability. She implemented Spark UUID function support and improved the handling of correlated subqueries in the query planner, ensuring correct filter propagation and safer analytical queries. Shirin also added CONDITIONAL_TRUE_EVENT operator support for Snowflake compatibility, extending Calcite’s parser and integrating window function handling. Her work involved Java and SQL, with a focus on database internals, SQL parsing, and robust unit testing. These contributions deepened Calcite’s cross-dialect capabilities and improved production readiness, demonstrating careful attention to correctness, maintainability, and comprehensive test coverage.
2025-10 monthly summary for datametica/calcite: Implemented cross-dialect support for CONDITIONAL_TRUE_EVENT with Snowflake compatibility and window function integration. This included adding a new LibraryOperator, introducing SqlKind.CONDITIONAL_TRUE_EVENT in Calcite's parser, wiring the operator into the library, and updating tests to validate SQL generation across Snowflake and Oracle dialects with window functions. No major bugs were reported this month. Overall impact: enhanced Snowflake interoperability, reduced dialect drift, and improved test coverage, enabling production-ready cross-dialect query generation. Technologies/skills demonstrated: Calcite parser extension, custom operator integration, SqlKind extension, writing and updating multi-dialect tests, and window function handling.
2025-10 monthly summary for datametica/calcite: Implemented cross-dialect support for CONDITIONAL_TRUE_EVENT with Snowflake compatibility and window function integration. This included adding a new LibraryOperator, introducing SqlKind.CONDITIONAL_TRUE_EVENT in Calcite's parser, wiring the operator into the library, and updating tests to validate SQL generation across Snowflake and Oracle dialects with window functions. No major bugs were reported this month. Overall impact: enhanced Snowflake interoperability, reduced dialect drift, and improved test coverage, enabling production-ready cross-dialect query generation. Technologies/skills demonstrated: Calcite parser extension, custom operator integration, SqlKind extension, writing and updating multi-dialect tests, and window function handling.
December 2024 monthly summary: Delivered Spark UUID function support in Calcite's Spark SQL integration and hardened the query planner's handling of correlated subqueries. These changes enable Spark-based workloads to generate UUIDs and ensure correct filter propagation from WHERE to JOIN ON, improving correctness and reliability in analytical queries.
December 2024 monthly summary: Delivered Spark UUID function support in Calcite's Spark SQL integration and hardened the query planner's handling of correlated subqueries. These changes enable Spark-based workloads to generate UUIDs and ensure correct filter propagation from WHERE to JOIN ON, improving correctness and reliability in analytical queries.

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