This is an end-to-end recipe for installing OmniSci Open Source on an Ubuntu machine running with NVIDIA Volta, Kepler, or Pascal series GPU cards.
Here is a quick video overview of the installation steps.
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.
Prepare your Ubuntu machine by updating your system, creating the OmniSci user (named omnisci), installing kernel headers, and installing CUDA drivers.
Update the entire system.
sudo apt updatesudo 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.
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
sudo useradd -U -m omnisci
CUDA is a parallel computing platform and application programming interface (API) model. It uses a CUDA-enabled graphics processing unit (GPU) for general purpose processing. The CUDA platform provides direct access to the GPU virtual instruction set and parallel computation elements. For more information on CUDA unrelated to installing OmniSci, see https://developer.nvidia.com/cuda-zone.
Install kernel headers with the following command:
sudo apt-get install linux-headers-$(uname -r)
OmniSci requires only the CUDA drivers and not the entire CUDA package. To install the drivers:
Select the target platform by selecting the operating system (Linux), architecture (based on your environment), distribution (Ubuntu), version (based on your environment), and installer type (OmniSci recommends deb (network)).
In Download Installer..., right-click the Download button and copy the link location of the Base Installer. Do not use the installation instructions on the CUDA site.
Use one of the following methods to download the installer from the command line, using the download link you copied (in this example, https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb):
sudo curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb
sudo wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb
wget is not installed in your environment, use
sudo apt install wget to install it.
Install the CUDA drivers, using the filename you just downloaded (in this example, cuda-repo-ubuntu1804_10.0.130-1_amd64.deb):
sudo dpkg -i <file_name>
If you do not have the public CUDA GPG key installed, run the installation command provided by NVIDIA in the terminal window; for example:
sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
Update the local repository cache:
sudo apt update
Install the CUDA Toolkit and GPU drivers:
sudo apt install cuda-drivers linux-image-extra-virtual
nvidia-smi to verify that your drivers are installed correctly and recognize the GPUs in your environment. Depending on your environment, you should see something like this to verify that your NVIDIA GPUs and drivers are present:
To install OmniSci:
Download and add a GPG key to apt:
curl https://releases.omnisci.com/GPG-KEY-omnisci | sudo apt-key add -
Download the OmniSci list file:
echo "deb https://releases.omnisci.com/os/apt/ stable cuda" | sudo tee /etc/apt/sources.list.d/omnisci.list
update to locate the new installation options, and then
sudo apt updatesudo apt install omnisci
Follow these steps to prepare your OmniSci environment.
For convenience, you can update .bashrc with the required environment variables.
Open a terminal window.
cd ~/ to go to your home directory.
.bashrc in a text editor. For example,
sudo gedit .bashrc.
.bashrc file. Add the following export commands under “User specific aliases and functions.”
# User specific aliases and functionsexport OMNISCI_USER=omnisciexport OMNISCI_GROUP=omnisciexport OMNISCI_STORAGE=/var/lib/omnisciexport OMNISCI_PATH=/opt/omnisciexport OMNISCI_LOG=/var/lib/omnisci/data/mapd_log
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.
cd $OMNISCI_PATH/systemdsudo ./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_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.
Start and use OmniSciDB and Immerse.
sudo systemctl start omnisci_server
Enable OmniSciDB to start automatically when the system reboots.
sudo systemctl enable omnisci_server
To verify that all systems are go, load some sample data and perform an
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_PATHsudo ./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 Name1) Flights (2008) 7M flights_2008_7M flights_2008_7M.tar.gz2) Flights (2008) 10k flights_2008_10k flights_2008_10k.tar.gz3) 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):
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 AirtimeAustin|Houston|33.055556Norfolk|Baltimore|36.071429Ft. Myers|Orlando|28.666667Orlando|Ft. Myers|32.583333Houston|Austin|29.611111Baltimore|Norfolk|31.714286