February 2026 monthly summary for Delta Lake (langchain-ai/delta-rs) and related DataFusion/DeltaScan work. Focused on business value through safer schema evolution, more precise file scanning, and improved write-path parity, delivering robust, scalable data operations and better data governance. Main outcomes include correctness improvements during schema merges, groundwork for removal of DeltaTableProvider via provider-level scanning, and enhanced deletion vector handling for data management.

January 2026 highlights: Strengthened DataFusion integration and schema handling across delta-rs and arrow-rs, delivering robust batch processing, session-first API capabilities, and improved Parquet predicate pushdown with view-typed schemas. Implemented safety and compatibility fixes to reduce runtime risk, including predicate resolution for DataFusion 52, and a runtime FFI safeguard. Also extended memory-efficient encoding support by enabling Dictionary(Utf8View/BinaryView) casting. These changes reduce production risk, improve data correctness, and enable more scalable data pipelines.