The Apache Hudi team is pleased to announce the release of Apache Hudi 0.14.0.
Apache Hudi is a transactional data lake platform that brings database and data warehouse capabilities to the data lake. Hudi reimagines slow old-school batch data processing with a powerful new incremental processing framework for low latency minute-level analytics. This release comes 4 months after 0.13.1. It includes more than 405 resolved issues, new features as well as general improvements and bug-fixes. Some of the exciting features include: 1. The introduction of Record Level Index, 2. Support for Hudi tables with Auto-generated keys 3. The hudi_table_changes function for incremental reads 4. Support for Spark 3.4 and Flink 1.17 5. New feature support for Flink - consistent hashing index, Update and Delete statement support 6. Spark read and write side enhancements Please review the release notes <https://hudi.apache.org/releases/release-0.14.0> for details on release highlights, breaking changes, and behavior changes before adopting the 0.14.0 release. If you'd like to download the source release, you can find it here: https://github.com/apache/hudi/releases/tag/release-0.14.0 For details on how to use Hudi, please look at the quick start page located at https://hudi.apache.org/docs/quick-start-guide.html 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! Prashant Wason
