
Worked on the datametica/calcite repository to deliver the ARRAY_START_INDEX SQL function, integrating it fully with the Calcite SQL parser and ensuring compatibility with both Calcite and Spark semantics. The development process involved extensive use of Java and SQL, with a focus on robust API development and thorough unit testing. Test coverage was expanded to validate correctness and edge cases across multiple execution environments, while the test suite structure was refined for maintainability. Additionally, the work included updating library associations from Spark to Oracle, aligning dependencies with production requirements and improving code formatting and organization for future development.
April 2025 monthly summary for datametica/calcite focused on expanding SQL function support and strengthening test coverage. Delivered the ARRAY_START_INDEX function in Calcite with full parser integration, cross-framework testing (Calcite and Spark semantics), and a library migration readiness from Spark to Oracle, accompanied by test organization improvements.
April 2025 monthly summary for datametica/calcite focused on expanding SQL function support and strengthening test coverage. Delivered the ARRAY_START_INDEX function in Calcite with full parser integration, cross-framework testing (Calcite and Spark semantics), and a library migration readiness from Spark to Oracle, accompanied by test organization improvements.

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