MR3 1.3 released

[Sungwoo Park]

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