CentOS/RHEL 7 EE CPU Installation With Tarball

Create the omnisci-installs Directory

Use the following command to create the /opt/omnisci-installs directory.

sudo mkdir /opt/omnisci-installs

Download the OmniSci Archive File

You can download the OmniSci archive file using curl, or wget.

To download the OmniSci archive file with curl, use the following command.

sudo curl https://releases.omnisci.com/ee/tar/omnisci-ee-latest-Linux-x86_64-cpu.tar.gz --output /opt/omnisci-installs/omnisci.tar.gz

To download the OmniSci TAR file with wget, use the following command.

sudo wget https://releases.omnisci.com/ee/tar/omnisci-ee-latest-Linux-x86_64-cpu.tar.gz -O /opt/omnisci-installs/omnisci.tar.gz

Expand the Archive File

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

1. Go to the /opt/omnisci-installs directory.
2. Expand the OmniSci archive file with the following command:

   sudo tar -xvf omnisci.tar.gz

3. The expanded directory name is long and complex, with information about the version and build date. For example, the OmniSci 4.8.1 directory name is the following:

   omnisci-ee-4.8.1-20190827-0f29e432f1-Linux-x86_64-cpu

   Go to the /opt directory and create a symlink to omnisci, using the name of the expanded directory for the current release. For example, for OmniSci 4.8.1, you use the following commands:

   cd /opt
   sudo ln -s /opt/omnisci-installs/omnisci-ee-4.8.1-20190827-0f29e432f1-Linux-x86_64-cpu omnisci

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. 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

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.

cd $OMNISCI_PATH/systemd
./install_omnisci_systemd.sh

You will be prompted for two paths during install: OMNISCI_PATH and OMNISCI_STORAGE. OMNISCI_PATH defaults to /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. 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

   sudo systemctl start omnisci_server
   sudo systemctl start omnisci_web_server

2. 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.

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, and data from the 2015 New York City Tree Census. To insert sample data, run the following command.

   cd $OMNISCI_PATH
   sudo ./insert_sample_data

2. When prompted, choose 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 OmniSciDB 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:

   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 Table chart to verify that backend rendering is working.
   1. Click New Dashboard.
   2. Click Add Chart. Table is the default chart type.
   3. Click Select Data Source.
   4. Choose the flights_2008_10k table as the datasource.
   5. Click Add Measure.
   6. Choose depdelay.
   7. Click Add Measure.
   8. Choose arrdelay.

   The resulting chart shows, unsurprisingly, that there is a correlation between departure delay and arrival delay.