read_parquet

This release introduces significant improvements to Ray Data with DataSourceV2 enabled by default and Hash Shuffle V2. Ray Serve enhances its HAProxy ingress with a new PyPI package and gRPC support, while Ray Core adds an embedded RocksDB backend for GCS fault tolerance.

This release focuses heavily on Ray Data stability, introducing features like multi-dataset support, automatic batch sizing, and improved memory management. Ray Serve received significant LLM performance enhancements via re-architecture and new routing policies, while Ray Core introduced GPU-domain-aware placement groups and initial Kubernetes in-place pod resizing support.

This release introduces the new `DataSourceV2` API, GPU shuffle support, and significant enhancements to Ray Serve including gRPC streaming and HAProxy ingress. Numerous fixes address RCE vulnerabilities, scheduling races, and resource management issues across Ray Data.

Ray 2.x introduces token authentication, extensive Iceberg enhancements, new expression capabilities, and numerous performance improvements, while dropping Python 3.9 support and adjusting several defaults that may require migration steps.

This release introduces new features like LazyFrame.gather and stabilizes the streaming engine, alongside numerous performance improvements and bug fixes across data reading and expression evaluation.