Hi all, We would like to announce the release of Hive 4.0.0 on MR3. It is based on Hive 4.0.0 (together with 17 commits from hive-4.0.1-must) and replaces Tez by a new execution engine MR3 (version 1.11). We have also released Hive 3.1.3 on MR3 which backports about 800 patches to branch-3.1.
The git repo for Hive 4.0.0 on MR3 is available at: https://github.com/mr3project/hive-mr3/tree/master4.0 Compared with Apache Hive, Hive on MR3 (Hive-MR3) has several new features. - Hive-MR3 is easy to set up because it automatically achieves the speed of LLAP without requiring any extra steps. LLAP IO cache is also easy to enable. - Hive-MR3 can run directly on Kubernetes. On public clouds, you can take advantage of autoscaling and spot instances. We provide shell scripts, helm chars, and TypeScript code for executing Hive-MR3 on Kubernetes. - Hive-MR3 can run in standalone mode (similarly to Spark standalone mode and Presto/Trino). - Hive-MR3 supports Java 17. - A single master manages all jobs while containers are shared by all running jobs. As a result, Hive-MR3 yields much higher throughput for concurrent batch jobs. All the documentation on Hive-MR3 is at: https://mr3docs.datamonad.com/ Thanks, --- Sungwoo
