Ubuntu Enterprise/Free Editions CPU with Apt

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This is an end-to-end recipe for installing HEAVY.AI Enterprise Edition on an Ubuntu machine running without GPUs. This install has all of the functionality of HEAVY.AI, except for backend rendering (Pointmap, Scatterplot, and other charts might not be available.)
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 HEAVY.AI host only runs the daemons and services required to support HEAVY.AI.
Your HEAVY.AI host is connected to the Internet.
Preparation
Prepare your Ubuntu machine by updating your system, creating the HEAVY.AI user (named heavyai), and enabling a 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 HEAVY.AI User
Create a group called heavyai and a user named heavyai, who will be the owner of the HEAVY.AI 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 heavyai
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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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For more information, see https://help.ubuntu.com/lts/serverguide/firewall.html.
Most cloud providers provide a different mechanism for handling firewall configuration. The commands above might not run in cloud deployments.
Installation
If necessary, install the curl command.
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sudo apt install curl
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To install HEAVY.AI:
1.Download and add a GPG key to apt.
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sudo curl https://releases.heavy.ai/GPG-KEY-heavyai | sudo apt-key add -
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2.Download the HEAVY.AI list file:
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echo "deb https://releases.heavy.ai/ee/apt/ stable cpu" | sudo tee /etc/apt/sources.list.d/heavyai.list
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3.Use update to locate the new installation options, then install HEAVY.AI.
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sudo apt update
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sudo apt install heavyai
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Configuration
These are the steps to prepare your HEAVY.AI 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 HEAVYAI_USER=heavyai
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export HEAVYAI_GROUP=heavyai
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export HEAVYAI_STORAGE=/var/lib/heavyai
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export HEAVYAI_PATH=/opt/heavyai
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export HEAVYAI_LOG=/var/lib/heavyai/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 $HEAVYAI_STORAGE directory must be dedicated to HEAVY.AI: do not set it to a directory shared by other packages.
Initialization
Run the systemd installer.
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cd $HEAVYAI_PATH/systemd
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./install_heavy_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 $HEAVYAI_STORAGE with the directories catalogs, data, and export. import and log directories are created when you insert data the first time. If you are an HEAVY.AI administrator, the log directory is of particular interest.
Activation
Start and use HeavyDB and Heavy Immerse.
1.Start HeavyDB.
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sudo systemctl start heavydb
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sudo systemctl start heavy_web_server
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2.Enable HeavyDB to start automatically when the system reboots.
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sudo systemctl enable heavydb
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sudo systemctl enable heavy_web_server
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Enter Your License Key
Validate your HEAVY.AI 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 Heavy Immerse using a web browser connected to your host machine on port 6273. For example, http://heavyai.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 all systems are go, load some sample data, perform an heavysql query, and generate a Bar chart using Immerse.
HEAVY.AI 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 $HEAVYAI_PATH
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sudo ./insert_sample_data
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2.When prompted, enter 2 to insert the 10 thousand row flights dataset.
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Enter dataset number to download, or 'q' to quit:
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#     Dataset           Rows    Table Name          File Name
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1)    Flights (2008)    7M      flights_2008_7M     flights_2008_7M.tar.gz
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2)    Flights (2008)    10k     flights_2008_10k    flights_2008_10k.tar.gz
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3)    NYC Tree Census (2015)    683k    nyc_trees_2015_683k    nyc_trees_2015_683k.tar.gz
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3.Connect to HeavyDB by entering the following command in a terminal on the host machine (default password is HyperInteractive):
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$HEAVYAI_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://heavyai.mycompany.com:6273.
Create a new dashboard and a Bar chart.
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 Dimension.
6.Choose origin_city.
7.Click +Add Dimension.
8.Choose dest_city.
9.Click +Add Measure.
10.Choose airtime.
11.Click the arrow to the left of the origin_city label to sort by origin_city.
12.Choose Bar chart.

Installing on Ubuntu

Ubuntu Enterprise/Free Editions GPU with Apt

Last modified 1mo ago

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Contents

Assumptions

Preparation

Update and Reboot

Create the HEAVY.AI User

Firewall

Installation

Configuration

Set Environment Variables

Initialization

Activation