These are the steps to installing OmniSci Enterprise edition using a Docker container.
Here is a quick video overview of the installation steps.
Open a new terminal window and enter the following command:
docker run -d -v $HOME/omnisci-docker-storage:/omnisci-storage -p 6273-6280:6273-6280 omnisci/omnisci-ee-cpu
When the installation is complete, Docker runs the OmniSci server and OmniSci web server automatically.
Enter Your License Key
Validate your OmniSci instance with your license key.
Copy your license key from the registration email message.
If you have not received your license key, contact your Sales Representative or register for your 30-day trial here.
Connect to Immerse using a web browser connected to your host machine on port 6273. For example, http://omnisci.mycompany.com:6273.
When prompted, paste your license key in the text box and click Apply.
Log into Immerse by entering the default username (admin) and password (HyperInteractive), and then clicking Connect.
You can access the command line in the Docker image to perform configuration and run OmniSci utilities.
You need to know the container-id to access the command line. Use the command below to list the running containers.
docker container ls
You see output similar to the following.
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
9e01e520c30c omnisci/omnisci-ee-cpu "/bin/sh -c '/omnisci..." 3 days ago Up 3 days 0.0.0.0:6273-6280->6273-6280/tcp confident_neumann
Once you have your container ID, you can access the command line using the Docker exec command. For example, here is the command to start a Bash session in the Docker instance listed above. The -it switch makes the session interactive.
docker exec -it 9e01e520c30c bash
You can end the Bash session with the exit command.
To verify that all systems are go, load some sample data, perform an omnisql query, and generate a Table chart using Immerse.
OmniSci ships with two sample datasets of airline flight information collected in 2008, and one dataset of New York City census information collected in 2015. To install the sample data, run the following command.