Monthly summary for 2026-01 focused on delivering Arrow-based data processing capabilities and improving preprocessing efficiency in the pinterest/ray repository. Primary work centered on enabling Arrow-based transformations in the preprocessing path and enhancing the OrdinalEncoder to operate with Arrow data formats, along with API expansion for Arrow post-processing in statistical computations.

November 2025 monthly summary for pinterest/ray: Focused on strengthening Ray Data preprocessors pipeline through a new serialization framework and related utilities. Delivered a scalable, backward-compatible serialization system for Ray Data preprocessors, with a factory-based format handling, a new SerializablePreprocessorBase, and versioned registration to enable smooth migrations. Migrated core preprocessors to the new framework. Added input/output column tracking utilities and a computation plan stat check for custom statistical functions, with comprehensive tests. Implemented backward-compatibility improvements to Concatenator deserialization. Created test coverage across preprocessors in Chain. The work enables adding new serialization formats without modifying core logic and supports version migrations, reducing maintenance costs and enabling seamless data pipeline evolution.

October 2025 – Dayshah/ray: Delivered a ValueCounter Aggregator and refactored preprocessors to use a callback-based statistics computation framework. This unifies statistics collection, reduces duplication, and improves maintainability across the data processing pipeline. Commit 48d8ec26cc5313a10276a99cdd86e96140c58393 documents the change: [Data] Callback-based stat computation for preprocessors and ValueCounter (#56848). The work lays the groundwork for scalable analytics and faster feature delivery.