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Install Percona Distribution for PostgreSQL on Minikube

Installing the Percona Operator for PostgreSQL on Minikube is the easiest way to try it locally without a cloud provider.

Minikube runs Kubernetes on GNU/Linux, Windows, or macOS system using a system-wide hypervisor, such as VirtualBox, KVM/QEMU, VMware Fusion or Hyper-V. Using it is a popular way to test Kubernetes application locally prior to deploying it on a cloud.

This document describes how to deploy the Operator and Percona Distribution for PostgreSQL on Minikube.

Set up Minikube

  1. Install Minikube , using a way recommended for your system. This includes the installation of the following three components:

    1. kubectl tool,

    2. a hypervisor, if it is not already installed,

    3. actual minikube package

  2. After the installation, initialize and start the Kubernetes cluster. The parameters we pass for the following command increase the virtual machine limits for the CPU cores, memory, and disk, to ensure stable work of the Operator:

    $ minikube start --memory=5120 --cpus=4 --disk-size=30g
    

    This command downloads needed virtualized images, then initializes and runs the cluster.

  3. After Minikube is successfully started, you can optionally run the Kubernetes dashboard, which visually represents the state of your cluster. Executing minikube dashboard starts the dashboard and opens it in your default web browser.

Deploy the Percona Operator for PostgreSQL

  1. Deploy the Operator using the following command:

    $ kubectl apply --server-side -f https://raw.githubusercontent.com/percona/percona-postgresql-operator/v2.3.1/deploy/bundle.yaml
    
    Expected output
    customresourcedefinition.apiextensions.k8s.io/perconapgbackups.pgv2.percona.com serverside-applied
    customresourcedefinition.apiextensions.k8s.io/perconapgclusters.pgv2.percona.com serverside-applied
    customresourcedefinition.apiextensions.k8s.io/perconapgrestores.pgv2.percona.com serverside-applied
    customresourcedefinition.apiextensions.k8s.io/postgresclusters.postgres-operator.crunchydata.com serverside-applied
    serviceaccount/percona-postgresql-operator serverside-applied
    role.rbac.authorization.k8s.io/percona-postgresql-operator serverside-applied
    rolebinding.rbac.authorization.k8s.io/service-account-percona-postgresql-operator serverside-applied
    deployment.apps/percona-postgresql-operator serverside-applied
    

    As the result you have the Operator Pod up and running.

  2. Deploy Percona Distribution for PostgreSQL:

    $ kubectl apply -f https://raw.githubusercontent.com/percona/percona-postgresql-operator/v2.3.1/deploy/cr.yaml
    
    Expected output
    perconapgcluster.pgv2.percona.com/cluster1 created
    

    Note

    This deploys the default Percona Distribution for PostgreSQL configuration. 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 v2.3.1 https://github.com/percona/percona-postgresql-operator
    

    After editing the needed options, apply your modified deploy/cr.yaml file as follows:

    $ kubectl apply -f deploy/cr.yaml
    
  3. 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 pg -n postgres-operator
    
    Expected output
    NAME       ENDPOINT                         STATUS   POSTGRES   PGBOUNCER   AGE
    cluster1   cluster1-pgbouncer.default.svc   ready    3          3           30m
    

Verify the Percona Distribution for PostgreSQL cluster operation

When creation process is over, the output of the kubectl get pg command shows the cluster status as ready. You can try to connect to the cluster.

During the installation, the Operator has generated several secrets , including the one with password for default PostgreSQL user. This default user has the same login name as the cluster name.

  1. Use kubectl get secrets command to see the list of Secrets objects. The Secrets object you are interested in is named as <cluster_name>-pguser-<cluster_name> (substitute <cluster_name> with the name of your Percona Distribution for PostgreSQL Cluster). The default variant will be cluster1-pguser-cluster1.

  2. Use the following command to get the password of this user. Replace the <cluster_name> and <namespace> placeholders with your values:

    $ kubectl get secret <cluster_name>-<user_name>-<cluster_name> -n <namespace> --template='{{.data.password | base64decode}}{{"\n"}}'
    
  3. Create a pod and start Percona Distribution for PostgreSQL inside. The following command will do this, naming the new Pod pg-client:

    $ kubectl run -i --rm --tty pg-client --image=perconalab/percona-distribution-postgresql:16 --restart=Never -- bash -il
    
    Executing it may require some time to deploy the corresponding Pod.

  4. Run a container with psql tool and connect its console output to your terminal. The following command will connect you as a cluster1 user to a cluster1 database via the PostgreSQL interactive terminal.

    [postgres@pg-client /]$ PGPASSWORD='pguser_password' psql -h cluster1-pgbouncer.postgres-operator.svc -p 5432 -U cluster1 cluster1
    
    Sample output
    psql (16)
    SSL connection (protocol: TLSv1.3, cipher: TLS_AES_256_GCM_SHA384, bits: 256, compression: off)
    Type "help" for help.
    pgdb=>
    

Delete the cluster

If you need to delete the Operator and PostgreSQL cluster (for example, to clean up the testing deployment before adopting it for production use), check this HowTo.

If you no longer need the Kubernetes cluster in Minikube, the following are the steps to remove it.

  1. Stop the Minikube cluster:

    $ minikube stop
    
  2. Delete the cluster

    $ minikube delete
    

    This command deletes the virtual machines, and removes all associated files.

Get expert help

If you need assistance, visit the community forum for comprehensive and free database knowledge, or contact our Percona Database Experts for professional support and services. Join K8S Squad to benefit from early access to features and “ask me anything” sessions with the Experts.


Last update: 2024-03-28