I will be starting a Data Virtualization workshop blog series next week with a financials demo. Part of the setup and introduction involves using Data Virtualization, mySQL and Postgres. Instead of going through all the different install/configuration steps in all the different Platforms we decided to us a docker image to get started quickly with running all the products (DV, MySQL, Postgres, JDK).
Today I wanted to go through a quick example of getting the image from the public repository or building it locally. Then some examples of interacting with Data Virtualization in the image. I wanted to give a shout out to Cojan van Ballegooijen from the Netherlands for his Docker work.
Overview
Data Virtualization -
Building the Image
Step 1: Clone the DVWorkshop Repository. The dv-docker is the main folder we will be using.
https://github.com/DataVirtualizationByExample/DVWorkshop.git
Step 2: Install Docker to your local machine or Virtual Machine according to your platform. More detail is on the docker.io site. In my case I installed Docker on my Fedora VirtualBox Virtual Machine.
Step 3: Download the Data Virtualization product from jboss.org/products.
Step 4: Place the jboss-dv-installer-6.0.0.GA-redhat-4.jar in the dv-docker/software folder
Step 5: Start Docker from root if it isn't already running
# systemctrl start docker
Step 6: From your normal login (in my case kpeeples) check permissions of docker
docker info
If you get
2014/05/09 15:06:51 dial unix /var/run/docker.sock: permission denied
then use the following command to fix the permissions
$ sudo chmod a+rw /var/run/docker.sock
Step 7: Run the build, which runs docker build -t jbossdv600 . NOTE: if you receive an error on mysqld start on RHEL 6 the use the --no-cache option with the docker build. See http://docs.docker.io/reference/commandline/cli/#build
./build.sh
Step 8: My output from the build can be seen in this text file - https://drive.google.com/folderview?id=0B5kKwcd4kOq9VUNycWtkQVZJS1U&usp=sharing
Step 9: Look at the image list
$ docker images
Step 10: Look at the container list
$ docker ps
Step 11: Connect to the image in interactive mode
$ docker run -P -i -t jbossdv600 /bin/bash
Step 12: Start the services (DV, MySQL, Postgres, MongoDB)
# /home/jboss/run.sh &
Downloading the Image
Note: The tar image has been removed because you must download and accept the licensing agreement for now. A Red Hat Docker image repository is in process.
Step 4: Look at the image list
$ docker images
Step 5: Look at the container list
$ docker ps
Step 6: Connect to the image in interactive mode
$ docker run -P -i -t jbossdv600 /bin/bash
Step 7: Start the services (DV, MySQL, Postgres, MongoDB)
# /home/jboss/run.sh &
Verify Data Virtualization is running
Step 1: Get the ContainerID
docker ps
Step 2: Get the IP Address where MY_CID is the container ID
docker inspect --format '{{ .NetworkSettings.IPAddress }}' MY_CID
Today I wanted to go through a quick example of getting the image from the public repository or building it locally. Then some examples of interacting with Data Virtualization in the image. I wanted to give a shout out to Cojan van Ballegooijen from the Netherlands for his Docker work.
I. Overview
II. Building the Image
III. Downloading the Image
IV. Interacting with the Products
Overview
Docker -
Docker is an open-source project to easily create lightweight, portable, self-sufficient containers from any application. The same container that a developer builds and tests on a laptop can run at scale, in production, on VMs, bare metal, OpenStack clusters, public clouds and more. Data Virtualization -
JBoss Data Virtualization is complete data provisioning, federation, integration and management solution that enables organizations to gain actionable and unified information. Red Hat JBoss Data Virtualization enables agile data utilization in 3 easy steps:
- Connect: Access data from multiple, heterogeneous data sources.
- Compose: Easily create reusable, business-friendly logical data models and views by combining and transforming data.
- Consume: Make unified data easily consumable through open standard interfaces.
More info for Docker: https://www.docker.io/learn_more/
More info for Data Virtualization: http://www.jboss.org/products/datavirt.html
Step 1: Clone the DVWorkshop Repository. The dv-docker is the main folder we will be using.
https://github.com/DataVirtualizationByExample/DVWorkshop.git
Step 2: Install Docker to your local machine or Virtual Machine according to your platform. More detail is on the docker.io site. In my case I installed Docker on my Fedora VirtualBox Virtual Machine.
Step 3: Download the Data Virtualization product from jboss.org/products.
Step 4: Place the jboss-dv-installer-6.0.0.GA-redhat-4.jar in the dv-docker/software folder
Step 5: Start Docker from root if it isn't already running
# systemctrl start docker
Step 6: From your normal login (in my case kpeeples) check permissions of docker
docker info
If you get
2014/05/09 15:06:51 dial unix /var/run/docker.sock: permission denied
then use the following command to fix the permissions
$ sudo chmod a+rw /var/run/docker.sock
Step 7: Run the build, which runs docker build -t jbossdv600 . NOTE: if you receive an error on mysqld start on RHEL 6 the use the --no-cache option with the docker build. See http://docs.docker.io/reference/commandline/cli/#build
./build.sh
Step 8: My output from the build can be seen in this text file - https://drive.google.com/folderview?id=0B5kKwcd4kOq9VUNycWtkQVZJS1U&usp=sharing
Step 9: Look at the image list
$ docker images
Step 10: Look at the container list
$ docker ps
Step 11: Connect to the image in interactive mode
$ docker run -P -i -t jbossdv600 /bin/bash
Step 12: Start the services (DV, MySQL, Postgres, MongoDB)
# /home/jboss/run.sh &
Downloading the Image
Note: The tar image has been removed because you must download and accept the licensing agreement for now. A Red Hat Docker image repository is in process.
Note: I am testing the download of the image so if you have any issues then send me a message.
Note: This is only if you rather download the image instead of build it.
Step 1: Sign up for an account on docker.io
Step 2: Login into docker
$ sudo docker login
Step 3: Pull the Repository
$ sudo docker login
Step 3: Pull the Repository
docker pull kpeeples/jbossdv600
$ docker images
Step 5: Look at the container list
$ docker ps
Step 6: Connect to the image in interactive mode
$ docker run -P -i -t jbossdv600 /bin/bash
Step 7: Start the services (DV, MySQL, Postgres, MongoDB)
# /home/jboss/run.sh &
Step 1: Get the ContainerID
docker ps
Step 2: Get the IP Address where MY_CID is the container ID
docker inspect --format '{{ .NetworkSettings.IPAddress }}' MY_CID
Step 3: Browse to Data Virtualization where MY_IP is the IP from above
http://MY_IP:8080/
Step 4: Browse to Data Virtualization Dashboard where MY_IP is the IP from above with user as user and user as password
http://MY_IP:8080/dashboard/
In the Workshop series we will walk through connecting to the databases externally and internally.