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This guide explains how to decommission (take offline) specific Pods in PostgreSQL clusters managed by KubeBlocks. Decommissioning provides precise control over cluster resources while maintaining availability. Use this for workload rebalancing, node maintenance, or addressing failures.
In traditional StatefulSet-based deployments, Kubernetes lacks the ability to decommission specific Pods. StatefulSets ensure the order and identity of Pods, and scaling down always removes the Pod with the highest ordinal number (e.g., scaling down from 3 replicas removes Pod-2
first). This limitation prevents precise control over which Pod to take offline, which can complicate maintenance, workload distribution, or failure handling.
KubeBlocks overcomes this limitation by enabling administrators to decommission specific Pods directly. This fine-grained control ensures high availability and allows better resource management without disrupting the entire cluster.
Before proceeding, ensure the following:
kubectl create ns demo
namespace/demo created
KubeBlocks uses a declarative approach for managing PostgreSQL clusters. Below is an example configuration for deploying a PostgreSQL cluster with 2 replicas (1 primary, 1 replicas).
Apply the following YAML configuration to deploy the cluster:
apiVersion: apps.kubeblocks.io/v1
kind: Cluster
metadata:
name: pg-cluster
namespace: demo
spec:
terminationPolicy: Delete
clusterDef: postgresql
topology: replication
componentSpecs:
- name: postgresql
serviceVersion: 16.4.0
labels:
apps.kubeblocks.postgres.patroni/scope: pg-cluster-postgresql
disableExporter: true
replicas: 2
resources:
limits:
cpu: "0.5"
memory: "0.5Gi"
requests:
cpu: "0.5"
memory: "0.5Gi"
volumeClaimTemplates:
- name: data
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 20Gi
Monitor the cluster status until it transitions to the Running state:
kubectl get cluster pg-cluster -n demo -w
Expected Output:
NAME CLUSTER-DEFINITION TERMINATION-POLICY STATUS AGE
pg-cluster postgresql Delete Creating 50s
pg-cluster postgresql Delete Running 4m2s
Once the cluster status becomes Running, your PostgreSQL cluster is ready for use.
If you are creating the cluster for the very first time, it may take some time to pull images before running.
Expected Workflow:
onlineInstancesToOffline
is removedUpdating
to Running
To decommission a specific Pod (e.g., 'pg-cluster-postgresql-1'), you can use one of the following methods:
Option 1: Using OpsRequest
Create an OpsRequest to mark the Pod as offline:
apiVersion: operations.kubeblocks.io/v1alpha1
kind: OpsRequest
metadata:
name: pg-cluster-decommission-ops
namespace: demo
spec:
clusterName: pg-cluster
type: HorizontalScaling
horizontalScaling:
- componentName: postgresql
scaleIn:
onlineInstancesToOffline:
- 'pg-cluster-postgresql-1' # Specifies the instance names that need to be taken offline
Check the progress of the decommissioning operation:
kubectl get ops pg-cluster-decommission-ops -n demo -w
Example Output:
NAME TYPE CLUSTER STATUS PROGRESS AGE
pg-cluster-decommission-ops HorizontalScaling pg-cluster Succeed 1/1 33s
Option 2: Using Cluster API
Alternatively, update the Cluster resource directly to decommission the Pod:
apiVersion: apps.kubeblocks.io/v1
kind: Cluster
metadata:
name: pg-cluster
namespace: demo
spec:
terminationPolicy: Delete
clusterDef: postgresql
topology: replication
componentSpecs:
- name: postgresql
serviceVersion: 16.4.0
labels:
apps.kubeblocks.postgres.patroni/scope: pg-cluster-postgresql
disableExporter: true
replicas: 1
offlineInstances:
- pg-cluster-postgresql-1 # <----- Specify Pod to be decommissioned
resources:
limits:
cpu: '0.5'
memory: 0.5Gi
requests:
cpu: '0.5'
memory: 0.5Gi
volumeClaimTemplates:
- name: data
spec:
storageClassName: ""
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 20Gi
After applying the updated configuration, verify the remaining Pods in the cluster:
kubectl get pods -n demo -l app.kubernetes.io/instance=pg-cluster
Example Output:
NAME READY STATUS RESTARTS AGE
pg-cluster-postgresql-0 4/4 Running 0 6m12s
Key takeaways:
This provides granular cluster management while maintaining availability.