Kubernetes support for stateful applications has considerably matured over the past few years. Now it’s viable to locate your database inside your cluster, allowing it to benefit from the same scalability as your other workloads.
MySQL is one of the most popular relational database engines and it’s now augmented by an official Kubernetes operator. The Oracle-led open-source project provides a simple way to create managed MySQL clusters within Kubernetes.
In this article, you’ll learn how to install the operator and get started provisioning a database. The operator automatically creates services so applications in your other containers can connect to MySQL.
What Is The MySQL Operator?
Oracle’s MySQL operator is a component that runs inside your cluster to automate database initialization. You don’t need the operator to use MySQL in Kubernetes – you could deploy the official container image yourself by using a StatefulSet. This approach is cumbersome though, requiring you to author and maintain long manifest files to create a reliable environment.
The operator provides a set of custom resources that you can use to create your databases. Adding an InnoDBCluster object to your Kubernetes cluster prompts the operator to set up StatefulSets, storage, and networking for you. It also automates upgrades and backups, greatly reducing the burden on administrators.
Installing the MySQL Operator
The included Helm chart is the simplest way to install the operator in your cluster. Manifest files are available as an alternative if you don’t have Helm in your environment.
First add the operator to your Helm repository list:
Next update Helm’s repository database so it discovers the available charts:
Now use the following command to install the operator into a new namespace called mysql-operator:
It might take a few seconds for the process to complete.
Creating a Root User Credentials Secret
Each database cluster you create must be accompanied by a Kubernetes secret that contains the credentials for the MySQL root user. The operator will create the root-privileged account with the username and password provided in the secret.
Copy the following YAML manifest and change the value of the rootPassword field to something secure. Alter the username and user host settings too if applicable to your situation. Remember that the account named here will have total control over MySQL; you should set up separate users for your applications later on, using the regular MySQL shell.
Save the file as secret.yaml. Now use Kubectl to add the secret to your cluster:
Creating a Basic Cluster
Next create a new YAML file called mysql.yaml and copy the following content:
This defines an object using the InnoDBCluster custom resource offered by the MySQL operator. Applying the manifest to your cluster will create a new MySQL database with replication automatically configured. Review and change the following properties in the manifest before you continue:
spec. secretName – This must match the metadata. name of the secret you created earlier. The referenced secret will be read to set up the MySQL root user account. spec. instances – This defines how many MySQL replicas (Pods) to run. Up to 10 replicas are currently supported. spec. tlsUseSelfSigned – The field is set to true in this example to use the included self-signed TLS certificate. You can optionally supply your own certificate via a Kubernetes secret by setting the spec. tlsSecretName/spec. tlsCASecretName fields. spec. router. instances – The MySQL Router component is responsible for directing service traffic between the available MySQL replicas. This field defines how many instances of the router to run. Multiple instances will improve performance and resiliency in high-traffic situations.
Use Kubectl to apply the manifest and create your database cluster:
The MySQL initialization process can take a couple of minutes to complete. The operator uses several init containers to set up user accounts and configure MySQL’s data directory. Wait a few moments before running kubectl get pods to check what’s running:
The three MySQL replicas and single router instance are all in the Running state. The database is now ready to use.
Connecting to Your Cluster
The MySQL operator creates a Kubernetes service that routes traffic from your application Pods to your database. The service gets assigned a hostname with the following format:
The correct hostname for the example cluster shown above is mysql-cluster.default.svc.cluster.local. Configure your applications to connect to MySQL at this address using port 3306 and the user credentials you defined in your secret.
Accessing Your Database Externally
You can access MySQL from outside your cluster using Kubectl’s port forwarding capabilities. Run the following command to open a new port forwarding session:
Replace mysql-cluster with the name of the InnoDBCluster you want to connect to. Now you can use your local tools to interact with your database:
Pressing Ctrl+C in the terminal window running the kubectl port-forward command will close the connection.
Customizing MySQL Server Settings
You can supply any MySQL config file options that your application requires by setting the spec.mycnf field in your InnoDBCluster object’s manifest:
The operator will use the value of this field to write the my.cnf file in the filesystem of your database Pods.
Setting the Storage Capacity
The operator automatically creates a Persistent Volume (PV) and Persistent Volume Claim (PVC) to store your database’s data. It defaults to providing 2Gi of storage.
This can be changed using the datadirVolumeClaimTemplate manifest field which allows you to override properties of the PVC resource produced by the operator. Set the resources.requests.storage property to the capacity you require.
You should set this high enough that there’s plenty of room for your data to grow in the future. The operator doesn’t support in-place volume resizes so you’ll see an error if you try to increase the capacity in the future. Switching to a bigger volume would necessitate manual migration steps.
Pinning the MySQL Version
You can pin to a specific MySQL release with the spec.version and spec.router.version fields. This will prevent unintentional automatic upgrades. Select the same version for your MySQL Pods and router instances to guarantee compatibility.
Summary
Oracle’s MySQL Operator provides a convenient mechanism for running MySQL databases within a Kubernetes cluster. You can provision new replicated databases by creating InnoDBCluster objects. This is much simpler than manually creating StatefulSets and services that expose regular MySQL containers.
Using the operator doesn’t impede your ability to control MySQL or your Kubernetes environment. You can customize your Pods by supplying your own manifest properties in the spec.podSpec field and use your own MySQL config file with the steps shown above. The operator also offers integrated backup support, letting you copy your database to external storage on a recurring schedule.
