Hi everyone, The Apache Hudi team is pleased to announce the release of Apache Hudi 1.1.0.
Apache Hudi is an open data lakehouse platform, built on a high-performance open table format to ingest, index, store, serve, transform, and manage your data across multiple cloud data environments. This 1.1.0 release comes 6 months after 1.0.2. It includes more than 700 commits from our incredible community, with major new features, significant performance improvements, as well as general ecosystem expansions and bug fixes. Some of the exciting features include: - Pluggable Table Format Framework for native integration of multiple table formats - Significant performance boosts: 2-3x Flink write throughput, ~4x metadata table read speedup for all engines - Support for Spark 4.0 and Flink 2.0 - Integration with Polaris Catalog - Enhanced indexing capabilities including Non-global Record Index, Partition-Level Bucket Index, and Column Stats V2 for improved data type support - Modernized Record Merging API favoring merge modes over legacy payload classes - Storage-based lock provider for multi-writer concurrency without external dependencies - Native HFile writer - Table services optimization via Parquet binary copy and incremental scheduling Please review the release notes for details on release highlights and behavior changes before adopting the 1.1.0 version: https://hudi.apache.org/releases/release-1.1.0 If you'd like to download the source release, you can find it here: https://github.com/apache/hudi/releases/tag/release-1.1.0 For details on how to use Hudi, please look at the quick start page located at https://hudi.apache.org/docs/quick-start-guide We welcome your help and feedback. For more information on how to report problems, and to get involved, visit the project website at https://hudi.apache.org Thanks to everyone involved! - Ethan, Release Manager
