CentOS/RHEL 7 EE GPU Install With Tarball

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:

NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. 
Make sure that the latest NVIDIA driver is installed and running.

Firewall

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

sudo firewall-cmd --zone=public --add-port=6273/tcp --permanent
sudo firewall-cmd --reload

For more information, see https://fedoraproject.org/wiki/Firewalld?rd=FirewallD.

sudo curl https://releases.omnisci.com/ee/tar/omnisci-ee-latest-Linux-x86_64-render.tar.gz --output ~/Downloads/omnisci-ee-latest-Linux-x86_64-render.tar.gz

cd ~/Downloads
sudo /usr/local/bin/wget https://releases.omnisci.com/ee/tar/omnisci-ee-latest-Linux-x86_64-render.tar.gz

Installation

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

1. Create an installs directory in your home folder:

   cd ~
   sudo mkdir installs
   cd installs

2. Expand the OmniSci archive file in the installs directory with the following command: 

   sudo tar -xvf omnisci-ee-latest-Linux-x86_64-render.tar.gz

3. Go to the opt folder and create a symbolic link to the directory you just created:

   cd /opt
   ln -s ~/installs/omnisci-ee-latest-Linux-x86_64-render omnisci

Configuration

Follow these steps to prepare your OmniSci environment.

Initialization

Run the systemd installer. This script requires sudo access. You might be prompted for a password.

cd $OMNISCI_PATH/systemd
sudo ./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. The 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 OmniSci Core and Immerse.

1. Start OmniSci Core

   sudo systemctl start omnisci_server
   sudo systemctl start omnisci_web_server

2. Enable OmniSci Core to start 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 everything is working correctly, load some sample data, perform an omnisql query, and generate a pointmap using Immerse.

1. OmniSci ships with two sample datasets of airline flight information collected in 2008. To install the sample data, run the following command.

   cd $OMNISCI_PATH
   sudo ./insert_sample_data

2. When prompted, choose whether to insert dataset 1 (7 million rows) or dataset 2 (10 thousand rows).

   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 OmniSci Core 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, based on dataset 2 above:

   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;
   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

5. Connect to Immerse using a web browser connected to your host machine on port 6273. For example, http://omnisci.mycompany.com:6273.
6. 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 Add Data Source.
   5. Choose the flights_2008_10k or flights_2008_7M table as the data source, depending on the dataset you selected for ingest.
   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.