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Ubuntu Enterprise/Free Editions GPU with Apt
This is an end-to-end recipe for installing OmniSci Enterprise Edition on an Ubuntu machine running with NVIDIA Volta, Kepler, or Pascal series GPU cards. This install has all of the functionality of OmniSci.
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, installing CUDA drivers, and enabling the firewall.

Update and Reboot

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

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

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 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:
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NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver.
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Make sure that the latest NVIDIA driver is installed and running.
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Review the Install CUDA Drivers section and correct any errors.

Install libopengl0

Enable OpenGL support by installing libopengl0:
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apt install libopengl0
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Install Vulkan

For Release 5.7 and higher, rendering-enabled installs require the Vulkan API:
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sudo apt install libvulkan1
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For more information about enabling and troubleshooting Vulkan, see Vulkan Renderer.

Enable the Firewall

To use Immerse, you must prepare your host machine to accept HTTP connections. You can configure your firewall for external access.
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sudo ufw disable
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sudo ufw allow 6273/tcp
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sudo ufw allow 6274/tcp
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sudo ufw allow ssh
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sudo ufw enable
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Most cloud providers provide a different mechanism for handling firewall configuration. The commands above might not run in cloud deployments.

Installation

To install OmniSci:
    1.
    Download and add a GPG key to apt:
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    curl https://releases.omnisci.com/GPG-KEY-omnisci | sudo apt-key add -
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    2.
    Download the OmniSci list file:
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    echo "deb https://releases.omnisci.com/ee/apt/ stable cuda" | sudo tee /etc/apt/sources.list.d/omnisci.list
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    3.
    Use update to locate the new installation options, and then install OmniSci:
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    sudo apt update
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    sudo apt install omnisci
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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, vi .bashrc.
    4.
    Edit the .bashrc file. Add the following export commands under “User specific aliases and functions.”
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    # User specific aliases and functions
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    export OMNISCI_USER=omnisci
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    export OMNISCI_GROUP=omnisci
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    export OMNISCI_STORAGE=/var/lib/omnisci
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    export OMNISCI_PATH=/opt/omnisci
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    export OMNISCI_LOG=/var/lib/omnisci/data/mapd_log
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    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.
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cd $OMNISCI_PATH/systemd
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./install_omnisci_systemd.sh
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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
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    sudo systemctl start omnisci_server
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    sudo systemctl start omnisci_web_server
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    2.
    Enable OmniSciDB to start automatically when the system reboots.
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    sudo systemctl enable omnisci_server
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    sudo systemctl enable omnisci_web_server
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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.
    Log into Immerse by entering the default username (admin) and password (HyperInteractive), and then clicking Connect.

Checkpoint

To verify that everything is working, load some sample data, perform an omnisql query, and generate a pointmap 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.
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    cd $OMNISCI_PATH
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    sudo ./insert_sample_data
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    2.
    When prompted, enter 2 to insert the 10 thousand row flights dataset.
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    Enter dataset number to download, or 'q' to quit:
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    # Dataset Rows Table Name File Name
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    1) Flights (2008) 7M flights_2008_7M flights_2008_7M.tar.gz
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    2) Flights (2008) 10k flights_2008_10k flights_2008_10k.tar.gz
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    3) NYC Tree Census (2015) 683k nyc_trees_2015_683k nyc_trees_2015_683k.tar.gz
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    3.
    Connect to OmniSciDB by entering the following command in a terminal on the host machine (default password is HyperInteractive):
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    $OMNISCI_PATH/bin/omnisql
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    password: ••••••••••••••••
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    4.
    Enter a SQL query such as the following:
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    omnisql> SELECT origin_city AS "Origin", dest_city AS "Destination", AVG(airtime) AS
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    "Average Airtime" FROM flights_2008_10k WHERE distance < 175 GROUP BY origin_city,
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    dest_city;
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    The results should be similar to the results below.
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    Origin|Destination|Average Airtime
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    Austin|Houston|33.055556
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    Norfolk|Baltimore|36.071429
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    Ft. Myers|Orlando|28.666667
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    Orlando|Ft. Myers|32.583333
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    Houston|Austin|29.611111
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    Baltimore|Norfolk|31.714286
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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 Scatter Plot to verify that backend rendering is working.
    1.
    Click New Dashboard.
    2.
    Click Add Chart.
    3.
    Click SCATTER.
    4.
    Click Select Data Source.
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    Choose the flights_2008_10k table as the data source.
    6.
    Click X Axis +Add Measure.
    7.
    Choose depdelay.
    8.
    Click Y Axis +Add Measure.
    9.
    Choose arrdelay.
The resulting chart shows, unsurprisingly, that there is a correlation between departure delay and arrival delay.
4_firstScatterplot.png
Last modified 1mo ago