We are pleased to announce the release of MR3 1.3. Highlights in this release are:
1) MR3 On both Hadoop and Kubernetes, there is no limit on the aggregate memory of ContainerWorkers, so MR3 can run in a cluster of any size. 2) Hive on MR3 We have backported about 350 patches to Apache Hive 3.1.2. 3) Spark on MR3 Spark on MR3 is a new major application of MR3. For an introduction to Spark on MR3, please see our blog article: https://www.datamonad.com/post/2021-08-18-spark-mr3/ For more details, please see the release notes: https://mr3docs.datamonad.com/docs/release/ --- Sungwoo