This quick start guide is designed to help the user to get Hive on MR3 up and running with minimal effort.

• On a Local Machine demonstrates how to operate Hive on MR3 on a local machine.
• On Hadoop demonstrates how to operate Hive on MR3 in Hadoop clusters.
• On Kubernetes demonstrates how to operate Hive on MR3 in Kubernetes clusters.
• On Amazon AWS demonstrates how to operate Hive on MR3 on Amazon AWS (EMR and EKS).
• In a Docker Container demonstrates how to operate Hive on MR3, including Apache Ranger and Timeline Server, in a single Docker container.

For testing Hive on MR3 on Kubernetes without building a Docker image, we recommend the user to try one of the following scenarios which use a pre-built Docker image available at DockerHub. Check Troubleshooting if you have trouble with running Hive on MR3 on Kubernetes.

• On Minikube with a Pre-built Docker Image
• Using Helm on Minikube with a Pre-built Docker Image
• On EKS With Autoscaling

Every page shows the entire list of commands for installing and testing Hive on MR3 in a specific scenario so that the user can try on his or her own in a compatible environment. If you need a guide on running Hive on MR3 in another environment not covered in this quick start guide, please send an email to DataMonad (mr3docs@datamonad.com).

For asking questions on MR3, please visit MR3 Google Group.