Learn how to troubleshoot and resolve a Kubernetes Namespace stuck in "Terminating" status, preventing its deletion and resource cleanup.
Deleting a Kubernetes namespace can sometimes get stuck in a "Terminating" state. This usually happens when the namespace contains resources that are still being cleaned up or when there are underlying issues preventing the deletion. This guide provides a step-by-step approach to troubleshoot and resolve such scenarios, allowing you to successfully remove the stuck namespace.
Identify the stuck namespace:
kubectl get ns --field-selector status.phase=Terminating
Check for remaining resources:
kubectl get all -n <namespace-name>
Force delete resources (if any):
kubectl delete <resource-type> <resource-name> -n <namespace-name> --grace-period=0 --force
Inspect namespace details:
kubectl get namespace <namespace-name> -o yaml
Edit the namespace and remove finalizers:
kubectl edit namespace <namespace-name>
kubernetes
finalizer from the spec.finalizers
list.Save the changes and verify deletion:
kubectl get ns
Note: If the issue persists, consider checking for:
The Python code checks for and attempts to resolve a stuck Kubernetes namespace. It first identifies if the specified namespace is in a 'Terminating' state. If so, it lists any remaining resources within the namespace. The script includes a commented-out section for force-deleting these resources. It then retrieves and displays the namespace details, attempts to remove the 'kubernetes' finalizer from the namespace, and finally verifies if the namespace has been successfully deleted.
import kubernetes
# Kubernetes configuration
kubernetes.config.load_kube_config()
# Namespace name
namespace_name = "your-namespace-name"
# 1. Identify the stuck namespace
try:
namespaces = kubernetes.client.CoreV1Api().list_namespace(field_selector="status.phase=Terminating").items
stuck_namespaces = [ns.metadata.name for ns in namespaces if ns.metadata.name == namespace_name]
if stuck_namespaces:
print(f"Stuck namespace found: {stuck_namespaces[0]}")
else:
print(f"Namespace '{namespace_name}' is not stuck in Terminating state.")
exit()
except kubernetes.client.exceptions.ApiException as e:
print(f"Error: {e}")
exit()
# 2. Check for remaining resources
try:
resources = kubernetes.client.CoreV1Api().list_namespaced_resource("all", namespace_name).items
if resources:
print(f"Resources found in namespace '{namespace_name}':")
for resource in resources:
print(f"- {resource.kind}/{resource.metadata.name}")
else:
print(f"No resources found in namespace '{namespace_name}'.")
except kubernetes.client.exceptions.ApiException as e:
print(f"Error: {e}")
exit()
# 3. Force delete resources (if any) - uncomment and modify if needed
# for resource in resources:
# try:
# kubernetes.client.CoreV1Api().delete_namespaced_resource(
# resource.kind.lower(), namespace_name, resource.metadata.name, grace_period_seconds=0, propagation_policy="Foreground"
# )
# print(f"Force deleted {resource.kind}/{resource.metadata.name} in namespace '{namespace_name}'.")
# except kubernetes.client.exceptions.ApiException as e:
# print(f"Error deleting {resource.kind}/{resource.metadata.name}: {e}")
# 4. Inspect namespace details
try:
namespace = kubernetes.client.CoreV1Api().read_namespace(namespace_name)
print(f"Namespace details:\n{namespace}")
except kubernetes.client.exceptions.ApiException as e:
print(f"Error: {e}")
exit()
# 5. Edit the namespace and remove finalizers
try:
# Remove 'kubernetes' finalizer
namespace.spec.finalizers = [f for f in namespace.spec.finalizers if f != "kubernetes"]
kubernetes.client.CoreV1Api().patch_namespace(namespace_name, namespace)
print(f"Removed 'kubernetes' finalizer from namespace '{namespace_name}'.")
except kubernetes.client.exceptions.ApiException as e:
print(f"Error: {e}")
exit()
# 6. Verify deletion
try:
namespaces = kubernetes.client.CoreV1Api().list_namespace().items
existing_namespaces = [ns.metadata.name for ns in namespaces]
if namespace_name not in existing_namespaces:
print(f"Namespace '{namespace_name}' deleted successfully.")
else:
print(f"Namespace '{namespace_name}' is still present.")
except kubernetes.client.exceptions.ApiException as e:
print(f"Error: {e}")
exit()
Before running the code:
pip install kubernetes
kubectl
is configured to access your cluster."your-namespace-name"
with the actual name of the stuck namespace.This code provides a more automated approach to resolving stuck namespaces compared to manual command execution. Remember to adapt it to your specific needs and use it responsibly.
"kubernetes"
finalizer is used by the Kubernetes garbage collector itself.--grace-period=0
and --force
with extreme caution. It bypasses the standard grace period and can lead to data inconsistency or orphaned resources.kubectl patch
to remove the finalizer:
kubectl patch namespace <namespace-name> -p '{"metadata":{"finalizers":null}}'
kubectl describe
on stuck resources for more information.kubectl get events -n <namespace-name>
This guide provides steps to troubleshoot and delete a Kubernetes namespace stuck in the "Terminating" state.
Steps:
Identify the stuck namespace: Use kubectl get ns --field-selector status.phase=Terminating
to list namespaces in this state.
Check for remaining resources: Execute kubectl get all -n <namespace-name>
to see any resources still present within the namespace.
Force delete resources (if any): Remove remaining resources with kubectl delete <resource-type> <resource-name> -n <namespace-name> --grace-period=0 --force
.
Inspect namespace details: Use kubectl get namespace <namespace-name> -o yaml
to examine the namespace configuration.
Edit the namespace and remove finalizers: Open the namespace for editing with kubectl edit namespace <namespace-name>
and remove the kubernetes
finalizer from the spec.finalizers
list.
Save the changes and verify deletion: Save the edited namespace and confirm its deletion with kubectl get ns
.
Troubleshooting:
If the namespace remains stuck, investigate:
By following these steps, you can gain a better understanding of why a namespace is stuck and take the necessary steps to remove it. Remember to proceed with caution, especially when using force deletion, and always double-check for any dependencies or potential issues before taking action. This approach helps ensure a cleaner and more manageable Kubernetes environment.