Step 1: Deploying MySQL
WordPress must be used together with MySQL. WordPress runs the content management program while MySQL serves as a database to store data.
Prerequisites
You have created a CCE cluster that contains a node with 4 vCPUs and 8 GiB memory. For details on how to create a cluster, see Creating a Kubernetes Cluster.
Operations on the Console
- Log in to the CCE console.
- Click the name of the target cluster to access the cluster console.
- In the navigation pane, choose Workloads. Then, click Create Workload in the upper right corner.
- Configure the basic information about the workload.
- Workload Type: Select StatefulSet.
- Workload Name: Set it to mysql.
- Namespace: Select default.
- Pods: In this example, change the quantity to 1, which means, there is only one pod running in the mysql workload.
- Configure the basic information about the container.
In the Container Settings area, click Basic Info and click Select Image next to Image Name. In the dialog box displayed, select Open Source Images, search for mysql, select the mysql image, and select 5.7 from the drop-down list for Image Tag.
- Click Environment Variables and add four environment variables. You can check MySQL to view the environment variables that can be configured.
- MYSQL_ROOT_PASSWORD: password of the root user of the MySQL database, which can be customized.
- MYSQL_DATABASE: name of the database to be created when the image is started, which can be customized.
- MYSQL_USER: database user name, which can be customized.
- MYSQL_PASSWORD: database user password, which can be customized.
- Click Lifecycle and configure Startup Command.
- Command:
/bin/bash
- Running parameters:
-c rm -rf /var/lib/mysql/lost+found;docker-entrypoint.sh mysqld;
- Command:
- Click Data Storage, click Add Volume, select VolumeClaimTemplate (VTC) from the drop-down list, and add an EVS disk for MySQL.
Click Create PVC and configure the following parameters (Keep default for other parameters):
- PVC Type: Select EVS.
- PVC Name: Enter a name, for example, mysql.
- Creation Mode: Only Dynamically provision is supported.
- Storage Classes: The default value is csi-disk.
- AZ: Select an AZ. The EVS disk can only be attached to nodes in the same AZ. After an EVS disk is created, the AZ where the disk locates cannot be changed.
- Disk Type: Select a proper type as required.
- Capacity (GiB): Enter the capacity as required. The default value is 10 GiB.
Click Create and enter the path for mounting the storage volume to the container. The default path used by MySQL is /var/lib/mysql.
- In the Headless Service Parameters area, configure a headless Service.
A headless Service needs to be configured for networking between StatefulSet pods. It generates a domain name for each pod to access a specific StatefulSet pod. For a MySQL database that has master/slave relationship and multiple replicas, a headless Service is needed to read and write data from and into one MySQL database server (known as a source)and copy the data to other replicas. In this example, there is only one pod running in the MySQL workload. Therefore, the headless Service is not used. In this case, enter 3306 for both the Service port and container port. For details about the replicated MySQL examples, see Run a Replicated Stateful Application.
- In the Service Settings area, click the plus sign (+) and create a Service for accessing MySQL from WordPress.
Select ClusterIP for Service Type, enter mysqlin the Service Name text box, set both the Container Port and Service Port to 3306, and click OK.
The default access port in the MySQL image is 3306. In this example, both the container port and Service port are set to 3306 for convenience. The access port can be changed to another port.
In this way, the MySQL workload can be accessed through {Service name}:{Access port}, for example, mysql:3306, from within the cluster.
- Click Create Workload.
Wait until the workload is created.
The created workload will be displayed on the StatefulSets tab.
Feedback
Was this page helpful?
Provide feedbackThank you very much for your feedback. We will continue working to improve the documentation.See the reply and handling status in My Cloud VOC.
For any further questions, feel free to contact us through the chatbot.
Chatbot