Search…
v5.8.0 (latest)
Loading and Exporting Data
Powered By GitBook
Ubuntu Open Source GPU with Apt
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.
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), installing kernel headers, and installing CUDA drivers.

Update and Reboot

    1.
    Update the entire system.
    1
    sudo apt update
    2
    sudo apt upgrade
    Copied!
    2.
    Install a "headless" Java runtime environment.
    1
    sudo apt install default-jre-headless
    Copied!
    3.
    Verify that the apt-transport-https utility is installed.
    1
    sudo apt install apt-transport-https
    Copied!
    4.
    Reboot to activate the latest kernel.
    1
    sudo reboot
    Copied!

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.
1
sudo useradd -U -m omnisci
Copied!

Install Kernel Headers

Install kernel headers with the following command:
1
sudo apt-get install linux-headers-$(uname -r)
Copied!

Install the CUDA Drivers

Install the CUDA package for your platform and operating system according to the instructions on the NVIDIA website (https://developer.nvidia.com/cuda-downloads).
    1.
    Select the Product Type as Data center / Tesla.
    2.
    Select the correct Product Series and Product Type for your installation.
    3.
    In the Operating System dropdown list, select Linux 64-bit.
    4.
    In the CUDA Toolkit dropdown list, click a supported version (11.0 or higher).
    5.
    Click Search.
    6.
    On the resulting page, verify the download information and click Download.

Checkpoint

Run 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:
If you see an error like the following, the NVIDIA drivers are probably installed incorrectly:
1
NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver.
2
Make sure that the latest NVIDIA driver is installed and running.
Copied!
Review the Install CUDA Drivers section and correct any errors.

Installation

To install OmniSci:
    1.
    Download and add a GPG key to apt:
    1
    curl https://releases.omnisci.com/GPG-KEY-omnisci | sudo apt-key add -
    Copied!
    2.
    Download the OmniSci list file:
    1
    echo "deb https://releases.omnisci.com/os/apt/ stable cuda" | sudo tee /etc/apt/sources.list.d/omnisci.list
    Copied!
    3.
    Use update to locate the new installation options, and then install OmniSci:
    1
    sudo apt update
    2
    sudo apt install omnisci
    Copied!

Configuration

Follow these 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, sudo gedit .bashrc.
    4.
    Edit the .bashrc file. Add the following export commands under “User specific aliases and functions.”
    1
    # User specific aliases and functions
    2
    export OMNISCI_USER=omnisci
    3
    export OMNISCI_GROUP=omnisci
    4
    export OMNISCI_STORAGE=/var/lib/omnisci
    5
    export OMNISCI_PATH=/opt/omnisci
    6
    export OMNISCI_LOG=/var/lib/omnisci/data/mapd_log
    Copied!
    5.
    Save the .bashrc file.
    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.
1
cd $OMNISCI_PATH/systemd
2
sudo ./install_omnisci_systemd.sh
Copied!
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.
    1.
    Start OmniSciDB
    1
    sudo systemctl start omnisci_server
    Copied!
    2.
    Enable OmniSciDB to start automatically when the system reboots.
    1
    sudo systemctl enable omnisci_server
    Copied!

Checkpoint

To verify that all systems are go, load some sample data and perform an omnisql query.
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.
    1
    cd $OMNISCI_PATH
    2
    sudo ./insert_sample_data
    Copied!
    2.
    When prompted, enter 2 to insert the 10 thousand row flights dataset.
    1
    Enter dataset number to download, or 'q' to quit:
    2
    # Dataset Rows Table Name File Name
    3
    1) Flights (2008) 7M flights_2008_7M flights_2008_7M.tar.gz
    4
    2) Flights (2008) 10k flights_2008_10k flights_2008_10k.tar.gz
    5
    3) NYC Tree Census (2015) 683k nyc_trees_2015_683k nyc_trees_2015_683k.tar.gz
    Copied!
    3.
    Connect to OmniSciDB by entering the following command in a terminal on the host machine (default password is HyperInteractive):
    1
    $OMNISCI_PATH/bin/omnisql
    2
    password: ••••••••••••••••
    Copied!
    4.
    Enter a SQL query such as the following:
    1
    omnisql> SELECT origin_city AS "Origin", dest_city AS "Destination", AVG(airtime) AS
    2
    "Average Airtime" FROM flights_2008_10k WHERE distance < 175 GROUP BY origin_city,
    3
    dest_city;
    Copied!
    The results should be similar to the results below.
    1
    Origin|Destination|Average Airtime
    2
    Austin|Houston|33.055556
    3
    Norfolk|Baltimore|36.071429
    4
    Ft. Myers|Orlando|28.666667
    5
    Orlando|Ft. Myers|32.583333
    6
    Houston|Austin|29.611111
    7
    Baltimore|Norfolk|31.714286
    Copied!
Last modified 1mo ago