Demo / Quickstart

NOTE: To run this demo you will need a K8s environment with 2 worker nodes at least.

Operator Installation

We ship some kubernetes resources files in order to allow installation of the StackGres operator for demonstration purpose. Assuming you have already installed the the kubectl CLI you can install the operator with the following command:

kubectl apply -f https://stackgres.io/downloads/stackgres-k8s/stackgres/1.1.0/stackgres-operator-demo.yml

The stackgres-operator-demo.yml will expose the UI as with a LoadBalancer. Note that enabling this feature will probably incur in some fee that depend on the host of the kubernetes cluster (for example this is true for EKS, GKE and AKS).

Wait for the operator start

Use the command below to be sure when the operation is ready to use:

kubectl wait -n stackgres deployment -l group=stackgres.io --for=condition=Available

Once it’s ready you will see that the pods are Running:

➜ kubectl get pods -n stackgres -l group=stackgres.io
NAME                                  READY   STATUS    RESTARTS   AGE
stackgres-operator-78d57d4f55-pm8r2   1/1     Running   0          3m34s
stackgres-restapi-6ffd694fd5-hcpgp    2/2     Running   0          3m30s

Cluster Creation

To create your first StackGres cluster you have to create a simple custom resource that reflect the cluster configuration. Assuming you have already installed the kubectl CLI you can proceed by installing a StackGres cluster using the following command:

cat << 'EOF' | kubectl create -f -
apiVersion: stackgres.io/v1
kind: SGCluster
metadata:
  name: simple
spec:
  instances: 2
  postgres:
    version: 'latest'
  pods:
    persistentVolume: 
      size: '5Gi'
EOF

This will create a cluster using latest available PostgreSQL version with 2 nodes each with a disk of 5Gi using the default storage class and a set of default configurations for PostgreSQL, connection pooling and resource profile.

Check cluster

A cluster called simple will be deployed in the default namespace that is configured in your environment (normally this is the namespace default).

Follow the creation status:

kubectl get pods --watch

As final status you should see something like this:

NAME       READY   STATUS    RESTARTS   AGE
simple-0   6/6     Running   0          2m50s
simple-1   6/6     Running   0          1m56s

Accessing Postgres(psql)

To open a psql console and manage the PostgreSQL cluster you may connect to the postgres-util container of primary instance (with label role: master):

kubectl exec -ti "$(kubectl get pod --selector app=StackGresCluster,cluster=true,role=master -o name)" -c postgres-util -- psql

IMPORTANT: Connecting directly trough the postgres-util sidecar will grant you access with the postgres user. It will work similar to sudo -i postgres -c psql.

Please check about the postgres-util side car and how to connect to the postgres cluster for more details.

Cluster Management and Automated Failover

Now that the cluster is up and running, you can also open a shell in any instance to use patronictl and control the status of the cluster:

kubectl exec -ti "$(kubectl get pod --selector app=StackGresCluster,cluster=true,role=master -o name)" -c patroni -- patronictl list

You should see something similar to this:

+ Cluster: simple (6868989109118287945) ---------+----+-----------+
|  Member  |       Host       |  Role  |  State  | TL | Lag in MB |
+----------+------------------+--------+---------+----+-----------+
| simple-0 | 10.244.0.9:7433  | Leader | running |  1 |           |
| simple-1 | 10.244.0.11:7433 | Replica| running |  1 |         0 |
+----------+------------------+--------+---------+----+-----------+

Now to test the automated failover, let’s simulate a disaster by killing the leader simple-0:

kubectl delete pod simple-0

After deleted the leader simple-0 Patroni should perform the switchover, electing simple-1 as new leader and replace with a new container the simple-0 instance. After Patroni performs the failover operation, you can check the cluster status again:

kubectl exec -ti "$(kubectl get pod --selector app=StackGresCluster,cluster=true,role=master -o name)" -c patroni -- patronictl list

The final state of the failover will result with node simple-1 as the leader and simple-0 as the replica.

+ Cluster: simple (6868989109118287945) ---------+----+-----------+
|  Member  |       Host       |  Role  |  State  | TL | Lag in MB |
+----------+------------------+--------+---------+----+-----------+
| simple-0 | 10.244.0.9:7433  | Replica| running |  2 |         0 |
| simple-1 | 10.244.0.11:7433 | Leader | running |  2 |           |
+----------+------------------+--------+---------+----+-----------+

Please check about the patroni-management for more details.

Connect to the UI

Now that you knows a little bit more about StackGres, you can easily manage all your clusters from the UI. It will ask for a username and a password. By default those are admin and a randomly generated password. You can run the command below to get the user and password auto-generated:

kubectl get secret -n stackgres stackgres-restapi --template 'username = {{ printf "%s\n" (.data.k8sUsername | base64decode) }}password = {{ printf "%s\n" ( .data.clearPassword | base64decode) }}'

With the credentials in hand, let’s connect to the Web UI of the operator, for this you may forward port 443 of the operator pod:

POD_NAME=$(kubectl get pods --namespace stackgres -l "app=stackgres-restapi" -o jsonpath="{.items[0].metadata.name}")
kubectl port-forward "$POD_NAME" 8443:9443 --namespace stackgres

Then open the browser at following address localhost:8443/admin/

Cleaning up

To uninstall all resources generated by this demo you can run:

kubectl delete --ignore-not-found -f https://stackgres.io/downloads/stackgres-k8s/stackgres/1.1.0/stackgres-operator-demo.yml

Check the uninstall section for more details.

Also, see installation via helm section in order to change those.