Using H2O with Docker¶

Prerequisites¶

• Linux kernel version 3.8+ or Mac OS X 10.6+
• VirtualBox
• Latest version of Docker is installed and configured
• Docker daemon is running - enter all commands below in the Docker daemon window
• Using User directory (not root)

Notes¶

• Older Linux kernel versions are known to cause kernel panics that break Docker; there are ways around it, but these should be attempted at your own risk. To check the version of your kernel, run uname -r at the command prompt. The walkkthrough that follows has been tested on a Mac OS X 10.10.1.
• The Dockerfile always pulls the latest H2O release.
• The Docker image only needs to be built once.

Walkthrough¶

Step 1 - Install and Launch Docker

Depending on your OS, select the appropriate installation method:

• Mac Installation
• Ubuntu Installation
• Other OS Installations

Step 2 - Create or Download Dockerfile

Note: If the following commands do not work, prepend them with sudo.

1. Create a folder on the Host OS to host your Dockerfile by running:

2. Next, either download or create a Dockerfile, which is a build recipe that builds the container.

Download and use our Dockerfile template by running:

cd /data/h2o-{{branch_name}}
wget https://raw.githubusercontent.com/h2oai/h2o-3/master/Dockerfile

The Dockerfile:

• obtains and updates the base image (Ubuntu 14.04)
• installs Java 7
• obtains and downloads the H2O build from H2O’s S3 repository
• exposes ports 54321 and 54322 in preparation for launching H2O on those ports

Step 3 - Build Docker image from Dockerfile

From the /data/h2o-{{branch_name}} directory, run:

docker build -t "h2oai/{{branch_name}}:v5" .

**Note**: ``v5`` represents the current version number.

Because it assembles all the necessary parts for the image, this process can take a few minutes.

Step 4 - Run Docker Build

On a Mac, use the argument -p 54321:54321 to expressly map the port 54321. This is not necessary on Linux.

docker run -ti -p 54321:54321 h2o.ai/{{branch_name}}:v5 /bin/bash

**Note**: ``v5`` represents the version number.

Step 5 - Launch H2O

Navigate to the /opt directory and launch H2O. Change the value of -Xmx to the amount of memory you want to allocate to the H2O instance. By default, H2O launches on port 54321.

cd /opt
java -Xmx1g -jar h2o.jar

Step 6 - Access H2O from the web browser or R

• On Linux: After H2O launches, copy and paste the IP address and port of the H2O instance into the address bar of your browser. In the following example, the IP is 172.17.0.5:54321.

03:58:25.963 main      INFO WATER: Cloud of size 1 formed [/172.17.0.5:54321 (00:00:00.000)]

• On OSX: Locate the IP address of the Docker’s network (192.168.59.103 in the following examples) that bridges to your Host OS by opening a new Terminal window (not a bash for your container) and running boot2docker ip.

$ boot2docker ip
192.168.59.103

You can also view the IP address (192.168.99.100 in the example below) by scrolling to the top of the Docker daemon window:

                        ##         .
                  ## ## ##        ==
               ## ## ## ## ##    ===
           /"""""""""""""""""\___/ ===
      ~~~ {~~ ~~~~ ~~~ ~~~~ ~~~ ~ /  ===- ~~~
           \______ o           __/
             \    \         __/
              \____\_______/


docker is configured to use the default machine with IP 192.168.99.100
For help getting started, check out the docs at https://docs.docker.com

After obtaining the IP address, point your browser to the specified ip address and port. In R, you can access the instance by installing the latest version of the H2O R package and running:

library(h2o)
dockerH2O <- h2o.init(ip = "192.168.59.103", port = 54321)