Feb 10, 2017 11:54:00 AM by Deepak Vohra
Docker is the most commonly used containerization platform. It provides a platform similar to a virtualization platform, with some added benefits:
To run MySQL database on Docker Engine, the Docker binaries have to be installed, an Amazon EC2 instance has to be started, and Docker commands have to be run on the command line. Docker being a relatively new platform, MySQL developers may not be familiar with Docker commands (such as docker pull, docker run, docker ps). Also, scaling MySQL Database on Docker would require still other commands.
Docker Cloud is a hosted service for Docker containers. Docker Cloud may be used for running Dockerized applications in the cloud. A cloud provider such as AWS or Azure is required to be linked to Docker Cloud. Once linked, Docker applications may be run in the cloud service provider from the user interface provided by Docker Cloud. None or very few commands are required to be run explicitly. Docker Cloud provisions a node cluster, creates services and even could be used to create Docker image repositories. Docker services and Docker containers on the cluster may be managed individually. Benefits of using MySQL on the Docker Cloud include the following.
The procedure to use Docker Cloud for creating a service is as follows.
A cloud provider is a cloud computing service such as Amazon Web Services (AWS), Azure, and IBM’s SoftLayer.
A node cluster is a cluster of Linux hosts used to run Docker containers.
A service is a group of Docker containers for software (in this case, MySQL) deployed on a cluster of nodes.
In this tutorial we shall run MySQL Database in Docker Cloud linked with Amazon Web Services. This tutorial has the following sections:
As Docker Cloud is an online service no local software need be installed. Only a cloud provider account is required to be linked to Docker Cloud; we have used Amazon Web Services as the cloud provider. Therefore, to start setting the environment, create an Amazon EC2 account. A Docker Cloud account is also required.
In this section we shall link a cloud provider with Docker Cloud. For AWS, Docker Cloud requires an Access Key. Log in to the Amazon EC2 account and expand the Access Keys section. Click on the Create New Access Key button. A new Access Key gets created. Click on Show Access key link to display the Access Key. The Access Key ID and Secret Access key get displayed. Copy the Access Key ID and Secret Access Key, as we shall need these to link Amazon Web Services with Docker Cloud. In the Account Info page of the Docker Cloud, select the Cloud Providers tab. For the Amazon Web Services provider, click on the “Add credentials” button.
In the Amazon Web Services credentials dialog, paste the Access Key ID in the field for Access Key ID. Paste the Secret Access Key in the field for Secret Access Key. Click on Save Credentials.
The Amazon AWS account gets linked with the Docker Cloud account.
To create a node cluster click on the Nodes tab in the Account Info page. In the Node dashboard click on “Launch your first node”; if it is the first node cluster being created, and click on “Launch new code cluster” to create a subsequent new node cluster.
In the “Create a node cluster” page, specify a Node cluster name (OracleDockerCloud for example). In the Provider field select Amazon Web Services. Select Region; for example us-east-1. Select the default settings for "Auto" for VPC, Subnet and Security group. Select Type/size as t2.micro. Select Number of nodes as 1. Select a Disk size, 60GB for example. Click on “Launch node cluster”.
A new node cluster gets created. Click on Apply to apply the 1 node to the cluster. The Deploying message gets displayed.
After the nodes are deployed the messages becomes "Deployed". The single node is displayed in a table of Hostname and State.
In the Node dashboard, the single node is displayed with Status “Deployed”.
Click on the node link to display the containers and endpoints in the node.
Initially the node does not list any Docker containers as none have been created yet.
Having created a node cluster, next we shall run Docker containers on the node. A few different options are available to start Docker containers. First is to click on the link to “start deploying containers”.
Alternatively, and the preferred option, is to select the Services tab.
If it is the first service, click on “Create your first service” button.
Select the Docker image “mysql” in Database servers category.
Select the default settings for Service name, Image tag, and Deployment strategy. Select Number of containers as 1. Select the default port setting of 3306 tcp port. Click on Next: environment variables.
The only required environment variable is MYSQL_ROOT_PASSWORD. Add the variable value as "mysql" and click on Add.
The MYSQL_ROOT_PASSWORD variable gets added.
Also add the following optional environment variables.
With the environment variables added, click on Create service to create the service.
A service gets created. Initially the service is not running and the Docker containers are not running.
Click on Start to start the service.
The Starting message should get displayed and a Docker container should also be “Starting”.
After the Docker container and the service have started the “Starting” message turns to “Running”.
To start an interactive bash shell for the Docker container two options are available. For the single Docker container click on the >_ button.
Alternatively, click on the Terminal tab to start an interactive terminal.
An interactive terminal is available only when a Docker container is running.
To start the MySQL command line interface (CLI) as root, run the following command:
mysql -u root -p
Specify the password as configured in the environment variable MYSQL_ROOT_PASSWORD. The MySQL CLI gets started.
To list the databases run the following command:
The databases listed include the system databases, the mysqldb database created using the MYSQL_DATABASE environment variable, and the user database mysql.
Run the following command to set the database to use as “mysql”.
The database gets set as “mysql”.
To create an Oracle Database table wlslog run the following SQL statement.
CREATE TABLE wlslog(time_stamp VARCHAR(45) PRIMARY KEY,category VARCHAR(25),type VARCHAR(25),
servername VARCHAR(25),code VARCHAR(25),msg VARCHAR(45));
The wlslog table gets created.
To list the Docker container logs, click on the Logs tab for the service. The MySQL database is listed as running on port 3306 “ready for connections”.
To stop a Docker container click on the Stop button.
The “Stopping” message gets displayed.
Stopping a Docker container in a service stops the service. A stopped service may either be started again with the Start button or terminated with the Terminate button. A terminated service cannot be restarted.
Click on OK in the confirmation dialog.
The service gets terminated as indicated by the Terminated status.
Terminating a service does not terminate the node cluster. To terminate the node cluster click on Terminate for the node in the Node dashboard.
Click on the OK button in the confirmation dialog. At first, the Status of the node turns to “Terminating”.
Subsequently the Status becomes “Terminated” A terminated node cluster cannot be deployed again.
In this tutorial we discussed deploying a Docker service for MySQL database on Docker Cloud. We discussed setting environment variables and starting and stopping the service. We created a sample database table using an interactive shell for the Docker container in the service. Docker Cloud is a managed service and especially useful if you are not very familiar with Docker.
Written by Deepak Vohra
Deepak Vohra is an Oracle Certified Associate, Oracle Database 10g, and Sun Certified Java Programmer. Deepak has published on OTN and in Oracle Magazine.