Ubuntu CE GPU Installation With Tarball¶
This is an end-to-end recipe for installing MapD Community Edition on an Ubuntu running with NVIDIA Kepler or Pascal series GPU cards. This install has all of the functionality of MapD.
Note: The order of these instructions is significant. Please install each component in the order presented to prevent aggravated hair loss.
- 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.
Prepare your Ubuntu machine by updating your system, creating the MapD user, and enabling a firewall.
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.
Create the MapD User¶
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
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
cuda-repo-ubuntu1604_8.0.44-1_amd64.debis the name of the package provided by NVIDIA.
Verify installation of the GPU drivers by running the following command.
You install the MapD application itself by expanding a TAR file.
Download the MapD archive to the
Expand the archive in the
~/installsdirectory with the following command.
tar -xvf <file_name>.tar.gz
Create a symbolic link. The symbolic link lets you navigate to the MapD directory without typing the lengthy directory name, and lets you upgrade to a new version by redirecting the link.
cd ~/ ln -s ~/installs/<MapD Directory> mapd
For example, for MapD version 3.2.0, the symbolic link command was:
ln -s ~/installs/mapd-ce-3.2.0-20170817-8ab3117-Linux-x86_64-cpu mapd
These are the steps to prepare your MapD environment.
For convenience, you can update bash.rc with the required environment variables.
Go to your home directory.
Use ctrl-h to show hidden files.
.bashrcfile. Add the following export commands under user specific aliases.
# User specific aliases and functions export MAPD_USER=mapd export MAPD_GROUP=mapd export MAPD_STORAGE=/var/lib/mapd export MAPD_PATH=/home/mapd/mapd
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.
This step initializes the database and prepares
systemd commands for MapD.
systemdinstaller. This script requires
sudoaccess. 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 directories
mapd_logdirectories are created when you insert data the first time. The
mapd_logdirectory is the one of most interest to a MapD administrator.
cd $MAPD_PATH/systemd sudo ./install_mapd_systemd.sh
Start and use MapD.
cd $MAPD_PATH sudo systemctl start mapd_server sudo systemctl start mapd_web_server
Enable MapD to start when the system reboots.
sudo systemctl enable mapd_server sudo systemctl enable mapd_web_server
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,
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.