Ubuntu EE CPU Installation With Apt
Note | MapD has been rebranded to OmniSci. |
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 steps.
Important | 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 (named omnisci), and enabling a firewall.
Update and Reboot
- Update the entire system.
sudo apt update sudo apt upgrade
- Install a "headless" Java runtime environment.
sudo apt install default-jre-headless
- Verify that the
apt-transport-https
utility is installed.sudo apt install apt-transport-https
- 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
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.
Note | Most cloud providers provide a different mechanism for handling firewall configuration. The commands above might not run in cloud deployments. |
Installation
If necessary, install the curl
command.
sudo apt install curl
To install OmniSci:
- Download and add a GPG key to apt.
sudo curl https://releases.omnisci.com/GPG-KEY-omnisci | sudo apt-key add -
- Download the OmniSci list file:
echo "deb https://releases.omnisci.com/ee/apt/ stable cpu" | sudo tee /etc/apt/sources.list.d/omnisci.list
Use
update
to locate the new installation options, theninstall
OmniSci.sudo apt update sudo apt install 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.
- Open a terminal window.
- Enter
cd ~/
to go to your home directory. - Open
.bashrc
in a text editor. For example,vi .bashrc
. - 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
- Save the
.bashrc
file. For example, in vi,[esc]:x!
- 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
Accept the values provided (based on your
environment variables) or make changes as needed. 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.
Start OmniSciDB
sudo systemctl start omnisci_server sudo systemctl start omnisci_web_server
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.
- 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.
- 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.
- To install sample data, run the following
command.
cd $OMNISCI_PATH sudo ./insert_sample_data
- 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
- Connect to OmniSciDB by entering the following command in a terminal on the host machine (default password is HyperInteractive):
$OMNISCI_PATH/bin/omnisql password: ••••••••••••••••
- 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.
- Click New Dashboard.
- Click Add Chart. Table is the default chart type.
- Click Select Data Source.
- Choose the flights_2008_10k table as the datasource.
- Click +Add Dimension.
- Choose origin_city.
- Click +Add Dimension.
- Choose dest_city.
- Click +Add Measure.
- Choose airtime.
- Click the arrow to the left of the origin_city label to sort by origin_city.
- Choose Bar chart.