For Chinese users, MR3 1.8 is now shipped in HiDataPlus (along with Celeborn).
https://mp.weixin.qq.com/s/65bgrnFpXtORlb4FjlPMWA --- Sungwoo On Sat, Dec 9, 2023 at 9:08 PM Sungwoo Park <glap...@gmail.com> wrote: > MR3 1.8 released > > On behalf of the MR3 team, I am pleased to announce the release of MR3 1.8. > > MR3 is an execution engine similar in spirit to MapReduce and Tez which > has been under development since 2015. Its main application is Hive on MR3. > You can run Hive on MR3 on Hadoop, on Kubernetes, in standalone mode (which > does not require Hadoop/Kubernetes), or on a local machine. You can also > test Hive on MR3 in a single Docker container. > > From MR3 1.8, we assume Java 17 by default. For running Hive on MR3 on > Hadoop, we continue to support Java 8 as well. For Kubernetes and > standalone mode, we release Hive on MR3 built with Java 17 only. > > Please see the release notes for changes new in MR3 1.8. A major new > feature is that Hive on MR3 can use Apache Celeborn for remote shuffle > service. > > https://mr3docs.datamonad.com/docs/release/ > > For the performance of Hive on MR3 1.8, please see a blog article "Hive on > MR3 - from Java 8 to Java 17 (and beating Trino)". On the 10TB TPC-DS > benchmark, Hive on MR3 1.8 finishes all the queries faster than Trino 418. > > https://www.datamonad.com/post/2023-12-09-hivemr3-java17-1.8/ > > Thank you, > > --- Sungwoo >