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 Kubernetes demonstrates how to operate Hive on MR3 in Kubernetes clusters.
  • On Hadoop demonstrates how to operate Hive on MR3 in Hadoop 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.

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.

For asking questions on MR3, please contact DataMonad or visit MR3 Google Group.