Summary for 2026-04: - Delivered a targeted feature enhancement in databrickslabs/dqx: Foreign Key Null-Safe Check Enhancement. Introduced a new null_safe parameter to the foreign_key check to explicitly enable null foreign key comparisons, with refined violation messages and rule names when null_safe is enabled. This improves data integrity checks, particularly for scenarios involving null foreign keys and single-column foreign keys wrapped as Structs. The change is tracked under commit 279c441ec2301fe79337d6e68709212b80153588 and linked to issue #1069. unit and integration tests were added. - Focused on improving data quality and validation accuracy, reducing ambiguity in error reporting for null-enabled scenarios. - Tests: added unit and integration tests to ensure correct behavior and regression safety; manual tests notations updated. - Co-authored by: Marcin Wojtyczka (Databricks) as per commit attribution. Key business value: - More reliable data integrity validation for complex FK scenarios with nulls. - Clearer, actionable error messages that speed up debugging and data quality remediation. - Improved test coverage lowers risk of regressions in critical data validation rules.