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 for details on release highlights, breaking changes, and behavior changes before adopting the 0.14.0 release here https://hudi.apache.org/releases/release-0.14.0/ 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
