Hello everyone! The Apache Gravitino v1.1.1 has been released recently.
Apache Gravitino is a high-performance, geo-distributed, and federated metadata lake. It manages metadata directly in different sources, types, and regions and provides users with unified metadata access for data and AI assets. Apache Gravitino 1.1.1 has been officially released! This is a patch release focused on stability, correctness, and performance improvements, with bug fixes and enhancements spanning the core server, authorization, Iceberg REST, Spark connector, and catalog implementations. Key highlights include: - Performance improvements: Caching for non-existent relational data, reduced catalogInUse calls on the server hot path, and batch metadata retrieval API to minimize round-trips - Authorization enhancements: Plugin overhead elimination when unconfigured, Jcasbin map conversion caching for faster permission checks, and batch metadata authorization with preloading support - Iceberg REST improvements: Table loading performance via reduced HMS calls, catalog wrapper and entity cache optimizations, and cross-namespace table renaming support - Lance REST additions: Column drop/rename operations, enhanced createEmptyTable semantics, new maxStatisticsPerUpdate configuration, and a complete Helm chart for Lance REST deployment - Bug fixes: Corrected SQL in column-info fetch queries, fixed tag association linkage issues, resolved fileset credential handling, and fixed authorization for special characters in table names For more details, please check: - Release Notes: https://github.com/apache/gravitino/releases/tag/v1.1.1 - Website: https://gravitino.apache.org/ - Download: https://gravitino.apache.org/downloads - Documentation: https://gravitino.apache.org/docs/1.1.1/ Resources: - Issue: https://github.com/apache/gravitino/issues - Mailing list: [email protected] Thanks Qi Yu
