Install Percona XtraDB Cluster on Amazon Elastic Kubernetes Service (EKS)¶

This quickstart shows you how to deploy the Operator and Percona XtraDB Cluster on Amazon Elastic Kubernetes Service (EKS). The document assumes some experience with Amazon EKS. For more information on the EKS, see the Amazon EKS official documentation.

Prerequisites¶

The following tools are used in this guide and therefore should be preinstalled:

AWS Command Line Interface (AWS CLI) for interacting with the different parts of AWS. You can install it following the official installation instructions for your system.
eksctl to simplify cluster creation on EKS. It can be installed along its installation notes on GitHub.
kubectl to manage and deploy applications on Kubernetes. Install it following the official installation instructions.

Also, you need to configure AWS CLI with your credentials according to the official guide.

Create the EKS cluster¶

To create your cluster, you will need the following data:
- name of your EKS cluster,
- AWS region in which you wish to deploy your cluster,
- the amount of nodes you would like tho have,
- the desired ratio between on-demand and spot instances in the total number of nodes.
Note

spot instances are not recommended for production environment, but may be useful e.g. for testing purposes.

After you have settled all the needed details, create your EKS cluster following the official cluster creation instructions.
After you have created the EKS cluster, you also need to install the Amazon EBS CSI driver on your cluster. See the official documentation on adding it as an Amazon EKS add-on.

Install the Operator¶

Create a namespace and set the context for the namespace. The resource names must be unique within the namespace and provide a way to divide cluster resources between users spread across multiple projects.

So, create the namespace and save it in the namespace context for subsequent commands as follows (replace the <namespace name> placeholder with some descriptive name):

$ kubectl create namespace <namespace name>
$ kubectl config set-context $(kubectl config current-context) --namespace=<namespace name>

At success, you will see the message that namespace/ was created, and the context was modified.

Deploy the Operator using the following command:

$ kubectl apply -f https://raw.githubusercontent.com/percona/percona-xtradb-cluster-operator/v1.13.0/deploy/bundle.yaml

Expected output

customresourcedefinition.apiextensions.k8s.io/perconaxtradbclusters.pxc.percona.com created
customresourcedefinition.apiextensions.k8s.io/perconaxtradbclusterbackups.pxc.percona.com created
customresourcedefinition.apiextensions.k8s.io/perconaxtradbclusterrestores.pxc.percona.com created
customresourcedefinition.apiextensions.k8s.io/perconaxtradbbackups.pxc.percona.com created
role.rbac.authorization.k8s.io/percona-xtradb-cluster-operator created
serviceaccount/percona-xtradb-cluster-operator created
rolebinding.rbac.authorization.k8s.io/service-account-percona-xtradb-cluster-operator created
deployment.apps/percona-xtradb-cluster-operator created

The operator has been started, and you can deploy Percona XtraDB Cluster:
```
$ kubectl apply -f https://raw.githubusercontent.com/percona/percona-xtradb-cluster-operator/v1.13.0/deploy/cr.yaml
```
Expected output
```
perconaxtradbcluster.pxc.percona.com/ cluster1 created
```
Note

This deploys default Percona XtraDB Cluster configuration with three HAProxy and three XtraDB Cluster instances. Please see deploy/cr.yaml and Custom Resource Options for the configuration options. You can clone the repository with all manifests and source code by executing the following command:
```
$ git clone -b v1.13.0 https://github.com/percona/percona-xtradb-cluster-operator
```
After editing the needed options, apply your modified deploy/cr.yaml file as follows:
```
$ kubectl apply -f deploy/cr.yaml
```
The creation process may take some time. When the process is over your cluster will obtain the ready status. You can check it with the following command:
```
$ kubectl get pxc
```
Expected output
```
NAME       ENDPOINT                   STATUS   PXC   PROXYSQL   HAPROXY   AGE
cluster1   cluster1-haproxy.default   ready    3                3         5m51s
```

Verifying the cluster operation¶

It may take ten minutes to get the cluster started. When kubectl get pxc command finally shows you the cluster status as ready, you can try to connect to the cluster.

You will need the login and password for the admin user to access the cluster. Use kubectl get secrets command to see the list of Secrets objects (by default the Secrets object you are interested in has cluster1-secrets name). You can use the following command to get the password of the root user:
```
$ kubectl get secrets cluster1-secrets -o yaml -o jsonpath='{.data.root}' | base64 --decode | tr '\n' ' ' && echo " "
```
Run a container with mysql tool and connect its console output to your terminal. The following command will do this, naming the new Pod percona-client:
```
$ kubectl run -i --rm --tty percona-client --image=percona:8.0 --restart=Never -- bash -il
```
Executing it may require some time to deploy the correspondent Pod.
Now run mysql tool in the percona-client command shell using the password obtained from the secret. The command will look different depending on whether your cluster provides load balancing with HAProxy (the default choice) or ProxySQL:
with HAProxy (default)with ProxySQL
$ mysql -h cluster1-haproxy -uroot -proot_password
$ mysql -h cluster1-proxysql -uroot -proot_password

Troubleshooting¶

If kubectl get pxc command doesn’t show ready status too long, you can check the creation process with the kubectl get pods command:

$ kubectl get pods

Expected output

NAME                                               READY   STATUS    RESTARTS   AGE
cluster1-haproxy-0                                 2/2     Running   0          6m17s
cluster1-haproxy-1                                 2/2     Running   0          4m59s
cluster1-haproxy-2                                 2/2     Running   0          4m36s
cluster1-pxc-0                                     3/3     Running   0          6m17s
cluster1-pxc-1                                     3/3     Running   0          5m3s
cluster1-pxc-2                                     3/3     Running   0          3m56s
percona-xtradb-cluster-operator-79966668bd-rswbk   1/1     Running   0          9m54s

If the command output had shown some errors, you can examine the problematic Pod with the kubectl describe <pod name> command as follows:

$ kubectl describe pod  cluster1-pxc-2

Review the detailed information for Warning statements and then correct the configuration. An example of a warning is as follows:

Warning FailedScheduling 68s (x4 over 2m22s) default-scheduler 0/1 nodes are available: 1 node(s) didn’t match pod affinity/anti-affinity, 1 node(s) didn’t satisfy existing pods anti-affinity rules.

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Last update: 2023-10-12