Hive on MR3

Using executable scripts:

• On EKS with Autoscaling shows how to operate Hive on MR3 on Amazon EKS with autoscaling.

Hive on MR3, Spark on MR3, Ranger, Grafana, MR3-UI, Superset

Using TypeScript code:

• On EKS with Autoscaling shows how to opeate Hive/Spark on MR3 on Amazon EKS along with Ranger, Grafana, MR3-UI, and Superset, where Hive/Spark on MR3 is configured to use autoscaling.

A web-based interface MR3 Cloud is also available.

• The user can connect to a public HiveServer2 (via JDBC/ODBC) which is exposed to the outside of the Kubernetes cluster.
• The user can connect to Apache HTTP Server which serves as a gateway to Superset, Ranger, Grafana, MR3-UI, and Spark UI.
• Superset connects to an internal HiveServer2 which is not exposed to the outside of the Kubernetes cluster. Superset with an internal HiveServer2 is optional.
• All HiveServer2 instances share a common MR3 DAGAppMaster and its ContainerWorkers. Autoscaling is enabled by default.
• Multiple Spark drivers sharing a common MR3 DAGAppMaster and its ContainerWorkers can run inside the Kubernetes cluster. Autoscaling is enabled by default.
• HiveServer2 and Spark drivers are automatically configured to share Metastore.

For asking questions, please visit MR3 Google Group.