Ubuntu EE GPU Installation With Tarball
This is an end-to-end recipe for installing MapD Enterprise Edition on an Ubuntu machine running with NVIDIA Kepler or Pascal series GPU cards. This install has all of the functionality of MapD.
Here is a quick video overview of the installation process.
- The installation phases are:
Note: The order of these instructions is significant. Please install each component in the order presented to prevent aggravated hair loss.
Assumptions
- These instructions assume the following:
- You are installing on a “clean” Ubuntu host machine with only the operating system installed.
- Your MapD host only runs the daemons and services required to support MapD.
- Your MapD host is connected to the Internet.
Preparation
Prepare your Ubuntu machine by updating your system, creating the MapD user, enabling a firewall, and installing CUDA.
Update and Reboot
Update the entire system.
sudo apt update
sudo apt upgrade
Install a “headless” Java Runtime Environment.
sudo apt install default-jre-headless
Reboot to activate the latest kernel.
sudo reboot
Create the MapD User
Create the mapd
group and mapd
user, who will be the owner of the MapD database. You can create both the group and user with the useradd
command and the -U
switch.
sudo useradd -U mapd
Enable the Firewall
To use Immerse, you must prepare your host machine to accept HTTP connections. You can configure your firewall for external access.
sudo ufw disable
sudo ufw allow 9092/tcp
sudo ufw allow ssh
sudo ufw enable
For more information, see https://help.ubuntu.com/lts/serverguide/firewall.html.
Install CUDA Drivers
Download the DEB package provided by NVIDIA from the NVIDIA CUDA Zone.
Install the CUDA repository, update local repository cache, and then install the CUDA Toolkit and GPU drivers.
sudo dpkg --install cuda-repo-ubuntu1604_8.0.44-1_amd64.deb sudo apt update sudo apt install cuda-drivers linux-image-extra-virtual
Where
cuda-repo-ubuntu1604_8.0.44-1_amd64.deb
is the name of the package provided by NVIDIA.Reboot.
sudo reboot
Verify installation of the GPU drivers by running the following command.
nvidia-smi
Installation
You install the MapD application itself by expanding a TAR file.
Create your
$MAPD_PATH
directory. MapD recommends/opt/mapd
.Expand the MapD archive file in the $MAPD_PATH directory with the following command.
tar -xvf <file_name>.tar.gz
Configuration
These are the steps to prepare your MapD environment.
Set Environment Variables
For convenience, you can update .bashrc with the required environment variables.
- Open a terminal window.
- Enter
cd ~/
to go to your home directory. - Open
.bashrc
in a text editor. For example,sudo gedit .bashrc
. - Edit the
.bashrc
file. Add the following export commands under “User specific aliases and functions.”# User specific aliases and functions export MAPD_USER=mapd export MAPD_GROUP=mapd export MAPD_STORAGE=/var/lib/mapd export MAPD_PATH=/opt/mapd
- Save the
.bashrc
file. - Open a new terminal window to use your changes.
The $MAPD_STORAGE directory must be dedicated to MapD: do not set it to a directory shared by other packages.
You can also create a configuration file with optional settings. See Configuration.
Initialization
This step initializes the database and prepares systemd
commands for MapD.
Run the
systemd
installer. This script requiressudo
access. You might be prompted for a password. Accept the values provided (based on your environment variables) or make changes as needed. The script creates a data directory in $MAPD_STORAGE with the directoriesmapd_catalogs
,mapd_data
, andmapd_export
.mapd_import
andmapd_log
directories are created when you insert data the first time. Themapd_log
directory is the one of most interest to a MapD administrator.cd $MAPD_PATH/systemd sudo ./install_mapd_systemd.sh
Activation
Start and use MapD Core and Immerse.
Start MapD Core
cd $MAPD_PATH sudo systemctl start mapd_server sudo systemctl start mapd_web_server
Enable MapD Core to start when the system reboots.
sudo systemctl enable mapd_server sudo systemctl enable mapd_web_server
Checkpoint
To verify that all systems are go, load some sample data, perform a mapdql
query, and generate a pointmap using Immerse.
MapD ships with two sample datasets of airline flight information collected in 2008. To install the sample data, run the following command.
cd $MAPD_PATH
./insert_sample_data
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
Connect to MapD Core by entering the following command in a terminal on the host machine (default password is HyperInteractive):
$MAPD_PATH/bin/mapdql
password: ••••••••••••••••
Enter a SQL query such as the following:
mapdql> 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
Connect to Immerse using a web browser connected to your host machine on port 9092. For example, http://mapd.mycompany.com:9092
.
Create a new dashboard and a Scatter Plot to verify that backend rendering is working.
- Click New Dashboard.
- Click Add Chart.
- Click SCATTER.
- Click Add Data Source.
- Choose the flights_2008_10k table as the data source.
- Click X Axis +Add Measure.
- Choose depdelay.
- Click Y Axis +Add Measure.
- Choose arrdelay.
The resulting chart shows, unsurprisingly, that there is a correlation between departure delay and arrival delay.
![4_firstScatterplot.png](./images/4_firstScatterplot.png)