Ubuntu Enterprise Edition CPU with Tarball

This is an end-to-end recipe for installing OmniSci Enterprise edition on an Ubuntu machine running without GPUs. This install has all of the functionality of OmniSci, except for backend rendering (Pointmap, Scatterplot, and other charts might not be available).

Here is a quick video overview of the installation process.

https://youtu.be/LkNcEPGZte0youtu.be

The order of these instructions is significant. To avoid problems, install each component in the order presented.

Assumptions

These instructions assume the following:

• You are installing on a “clean” Ubuntu host machine with only the operating system installed.

• Your OmniSci host only runs the daemons and services required to support OmniSci.

• Your OmniSci host is connected to the Internet.

Preparation

Prepare your Ubuntu machine by updating your system, creating the OmniSci user, and enabling a firewall.

Update and Reboot

1. Update the entire system:

   sudo apt update
   sudo apt upgrade

2. Install a “headless” Java Runtime Environment:

   sudo apt install default-jre-headless

3. Verify that the apt-transport-https utility is installed:

   sudo apt install apt-transport-https

4. Reboot to activate the latest kernel:

   sudo reboot

Create the OmniSci User

Create a group called omnisci and a user named omnisci, who will be the owner of the OmniSci database. You can create the group, user, and home directory using the useradd command with the -U and -m switches.

sudo useradd -U -m omnisci

Enable the Firewall

To use Immerse, you must prepare your host machine to accept HTTP connections. You can configure your firewall for external access.

sudo ufw disable
sudo ufw allow 6273/tcp
sudo ufw allow ssh
sudo ufw enable

For more information, see https://help.ubuntu.com/lts/serverguide/firewall.html.

Most cloud providers provide a different mechanism for handling firewall configuration. The commands above might not run in cloud deployments.

Installation

These instructions follow conventions of the OmniSci Engineering team. By creating an omnisci-installs directory and using a symbolic link that points to the current version, you can conveniently roll back to a previous version in the unlikely event that you would want to do so.

Create the omnisci-installs Directory

Use the following command to create the /opt/omnisci-installs directory.

sudo mkdir /opt/omnisci-installs

Download the OmniSci Archive File

You can download the OmniSci archive file using curl, or wget.

To download the OmniSci archive file with curl, use the following command.

sudo curl https://releases.omnisci.com/ee/tar/omnisci-ee-latest-Linux-x86_64-cpu.tar.gz --output /opt/omnisci-installs/omnisci.tar.gz

To download the OmniSci TAR file with wget, use the following command.

sudo wget https://releases.omnisci.com/ee/tar/omnisci-ee-latest-Linux-x86_64-cpu.tar.gz -O /opt/omnisci-installs/omnisci.tar.gz

Expand the Archive File

You install the OmniSci application itself by expanding the TAR file.

1. Go to the /opt/omnisci-installs directory.

2. Expand the OmniSci archive file with the following command:

   sudo tar -xvf omnisci.tar.gz

3. The expanded directory name is long and complex, with information about the version and build date. For example, the OmniSci 4.8.1 directory name is the following:

   omnisci-ee-4.8.1-20190827-0f29e432f1-Linux-x86_64-cpu

   Go to the /opt directory and create a symlink to omnisci, using the name of the expanded directory for the current release. For example, for OmniSci 4.8.1, you use the following commands:

   cd /opt
   sudo ln -s /opt/omnisci-installs/omnisci-ee-4.8.1-20190827-0f29e432f1-Linux-x86_64-cpu omnisci

Configuration

These are the steps to prepare your OmniSci environment.

Set Environment Variables

For convenience, you can update .bashrc with the required environment variables.

1. Open a terminal window.

2. Enter cd ~/ to go to your home directory.

3. Open .bashrc in a text editor. For example, vi .bashrc.

4. Edit the .bashrc file. Add the following export commands under “User specific aliases and functions.”

   # User specific aliases and functions
   export OMNISCI_USER=omnisci
   export OMNISCI_GROUP=omnisci
   export OMNISCI_STORAGE=/var/lib/omnisci
   export OMNISCI_PATH=/opt/omnisci
   export OMNISCI_LOG=/var/lib/omnisci/data/mapd_log

5. Save the .bashrc file. For example, in vi, [esc]:x!

6. Open a new terminal window to use your changes.

The $OMNISCI_STORAGE directory must be dedicated to OmniSci: do not set it to a directory shared by other packages.

Initialization

Run the systemd installer.

cd $OMNISCI_PATH/systemd
./install_omnisci_systemd.sh

You are prompted for two paths during install: OMNISCI_PATH and OMNISCI_STORAGE. OMNISCI_PATH must be the same as the location of the symbolic link you created in step 5 of the installation process and the environment variable you just created. In a standard installation, that path is /opt/omnisci. OMNISCI_STORAGE defaults to /var/lib/omnisci

The script creates a data directory in $OMNISCI_STORAGE with the directories mapd_catalogs, mapd_data, and mapd_export. mapd_import and mapd_log directories are created when you insert data the first time. If you are an OmniSci administrator, the mapd_log directory is of particular interest.

Activation

Start and use OmniSciDB and Immerse.

1. Start OmniSciDB

   sudo systemctl start omnisci_server
   sudo systemctl start omnisci_web_server

2. Enable OmniSciDB to start automatically when the system reboots.

   sudo systemctl enable omnisci_server
   sudo systemctl enable omnisci_web_server

Enter Your License Key

Validate your OmniSci instance with your license key.

1. 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.

2. Connect to Immerse using a web browser connected to your host machine on port 6273. For example, http://omnisci.mycompany.com:6273.

3. When prompted, paste your license key in the text box and click Apply.

4. Click Connect to start using OmniSci.

Checkpoint

To verify that all systems are go, load some sample data, perform an omnisql query, and generate a Bar chart using Immerse.

OmniSci ships with two sample datasets of airline flight information collected in 2008, and a census of New York City trees from 2015.

1. To install sample data, run the following command.

   cd $OMNISCI_PATH
   sudo ./insert_sample_data

2. When prompted, enter 2 to insert the 10 thousand row flights dataset.

   Enter dataset number to download, or 'q' to quit:
   #     Dataset           Rows    Table Name          File Name
   1)    Flights (2008)    7M      flights_2008_7M     flights_2008_7M.tar.gz
   2)    Flights (2008)    10k     flights_2008_10k    flights_2008_10k.tar.gz
   3)    NYC Tree Census (2015)    683k    nyc_trees_2015_683k    nyc_trees_2015_683k.tar.gz

3. Connect to OmniSciDB by entering the following command in a terminal on the host machine (default password is HyperInteractive):

   $OMNISCI_PATH/bin/omnisql
   password: ••••••••••••••••

4. Enter a SQL query such as the following:

   omnisql> SELECT origin_city AS "Origin", dest_city AS "Destination", AVG(airtime) AS
   "Average Airtime" FROM flights_2008_10k WHERE distance < 175 GROUP BY origin_city,
   dest_city;

   The results should be similar to the results below.

   Origin|Destination|Average Airtime
   Austin|Houston|33.055556
   Norfolk|Baltimore|36.071429
   Ft. Myers|Orlando|28.666667
   Orlando|Ft. Myers|32.583333
   Houston|Austin|29.611111
   Baltimore|Norfolk|31.714286

Connect to Immerse using a web browser connected to your host machine on port 6273. For example, http://omnisci.mycompany.com:6273.

Create a new dashboard and a Bar chart to verify that backend rendering is working.

1. Click New Dashboard.

2. Click Add Chart.

3. Click Add Data Source.

4. Choose the flights_2008_10k or flights_2008_7M table as the data source, depending on the dataset you selected for ingest.

5. Click +Add Dimension.

6. Choose origin_city.

7. Click +Add Dimension.

8. Choose dest_city.

9. Click +Add Measure.

10. Choose airtime.

11. Click the arrow to the left of the origin_city label to sort by origin_city.

12. Choose Bar chart.