Kubernetes objects can be created, updated, and deleted by storing multiple
object configuration files in a directory and using kubectl apply
to
recursively create and update those objects as needed. This method
retains writes made to live objects without merging the changes
back into the object configuration files. kubectl diff
also gives you a
preview of what changes apply
will make.
Install kubectl
.
You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster. If you do not already have a cluster, you can create one by using Minikube, or you can use one of these Kubernetes playgrounds:
To check the version, enter kubectl version
.
The kubectl
tool supports three kinds of object management:
See Kubernetes Object Management for a discussion of the advantages and disadvantage of each kind of object management.
Declarative object configuration requires a firm understanding of the Kubernetes object definitions and configuration. Read and complete the following documents if you have not already:
Following are definitions for terms used in this document:
kubectl apply
. Configuration files are typically stored in source control, such as Git.kubectl apply
to write the changes.Use kubectl apply
to create all objects, except those that already exist,
defined by configuration files in a specified directory:
kubectl apply -f <directory>/
This sets the kubectl.kubernetes.io/last-applied-configuration: '{...}'
annotation on each object. The annotation contains the contents of the object
configuration file that was used to create the object.
Note: Add the-R
flag to recursively process directories.
Here’s an example of an object configuration file:
application/simple_deployment.yaml
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Run kubectl diff
to print the object that will be created:
kubectl diff -f https://k8s.io/examples/application/simple_deployment.yaml
Create the object using kubectl apply
:
kubectl apply -f https://k8s.io/examples/application/simple_deployment.yaml
Print the live configuration using kubectl get
:
kubectl get -f https://k8s.io/examples/application/simple_deployment.yaml -o yaml
The output shows that the kubectl.kubernetes.io/last-applied-configuration
annotation
was written to the live configuration, and it matches the configuration file:
kind: Deployment
metadata:
annotations:
# ...
# This is the json representation of simple_deployment.yaml
# It was written by kubectl apply when the object was created
kubectl.kubernetes.io/last-applied-configuration: |
{"apiVersion":"apps/v1","kind":"Deployment",
"metadata":{"annotations":{},"name":"nginx-deployment","namespace":"default"},
"spec":{"minReadySeconds":5,"selector":{"matchLabels":{"app":nginx}},"template":{"metadata":{"labels":{"app":"nginx"}},
"spec":{"containers":[{"image":"nginx:1.7.9","name":"nginx",
"ports":[{"containerPort":80}]}]}}}}
# ...
spec:
# ...
minReadySeconds: 5
selector:
matchLabels:
# ...
app: nginx
template:
metadata:
# ...
labels:
app: nginx
spec:
containers:
- image: nginx:1.7.9
# ...
name: nginx
ports:
- containerPort: 80
# ...
# ...
# ...
# ...
You can also use kubectl apply
to update all objects defined in a directory, even
if those objects already exist. This approach accomplishes the following:
Clears fields removed from the configuration file in the live configuration.
kubectl diff -f <directory>/
kubectl apply -f <directory>/
Note: Add the-R
flag to recursively process directories.
Here’s an example configuration file:
application/simple_deployment.yaml
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Create the object using kubectl apply
:
kubectl apply -f https://k8s.io/examples/application/simple_deployment.yaml
Note: For purposes of illustration, the preceding command refers to a single configuration file instead of a directory.
Print the live configuration using kubectl get
:
kubectl get -f https://k8s.io/examples/application/simple_deployment.yaml -o yaml
The output shows that the kubectl.kubernetes.io/last-applied-configuration
annotation
was written to the live configuration, and it matches the configuration file:
kind: Deployment
metadata:
annotations:
# ...
# This is the json representation of simple_deployment.yaml
# It was written by kubectl apply when the object was created
kubectl.kubernetes.io/last-applied-configuration: |
{"apiVersion":"apps/v1","kind":"Deployment",
"metadata":{"annotations":{},"name":"nginx-deployment","namespace":"default"},
"spec":{"minReadySeconds":5,"selector":{"matchLabels":{"app":nginx}},"template":{"metadata":{"labels":{"app":"nginx"}},
"spec":{"containers":[{"image":"nginx:1.7.9","name":"nginx",
"ports":[{"containerPort":80}]}]}}}}
# ...
spec:
# ...
minReadySeconds: 5
selector:
matchLabels:
# ...
app: nginx
template:
metadata:
# ...
labels:
app: nginx
spec:
containers:
- image: nginx:1.7.9
# ...
name: nginx
ports:
- containerPort: 80
# ...
# ...
# ...
# ...
Directly update the replicas
field in the live configuration by using kubectl scale
.
This does not use kubectl apply
:
kubectl scale deployment/nginx-deployment --replicas=2
Print the live configuration using kubectl get
:
kubectl get -f https://k8s.io/examples/application/simple_deployment.yaml -o yaml
The output shows that the replicas
field has been set to 2, and the last-applied-configuration
annotation does not contain a replicas
field:
apiVersion: apps/v1
kind: Deployment
metadata:
annotations:
# ...
# note that the annotation does not contain replicas
# because it was not updated through apply
kubectl.kubernetes.io/last-applied-configuration: |
{"apiVersion":"apps/v1","kind":"Deployment",
"metadata":{"annotations":{},"name":"nginx-deployment","namespace":"default"},
"spec":{"minReadySeconds":5,"selector":{"matchLabels":{"app":nginx}},"template":{"metadata":{"labels":{"app":"nginx"}},
"spec":{"containers":[{"image":"nginx:1.7.9","name":"nginx",
"ports":[{"containerPort":80}]}]}}}}
# ...
spec:
replicas: 2 # written by scale
# ...
minReadySeconds: 5
selector:
matchLabels:
# ...
app: nginx
template:
metadata:
# ...
labels:
app: nginx
spec:
containers:
- image: nginx:1.7.9
# ...
name: nginx
ports:
- containerPort: 80
# ...
Update the simple_deployment.yaml
configuration file to change the image from
nginx:1.7.9
to nginx:1.11.9
, and delete the minReadySeconds
field:
application/update_deployment.yaml
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Apply the changes made to the configuration file:
kubectl diff -f https://k8s.io/examples/application/update_deployment.yaml
kubectl apply -f https://k8s.io/examples/application/update_deployment.yaml
Print the live configuration using kubectl get
:
kubectl get -f https://k8s.io/examples/application/simple_deployment.yaml -o yaml
The output shows the following changes to the live configuration:
replicas
field retains the value of 2 set by kubectl scale
.
This is possible because it is omitted from the configuration file.image
field has been updated to nginx:1.11.9
from nginx:1.7.9
.last-applied-configuration
annotation has been updated with the new image.minReadySeconds
field has been cleared.The last-applied-configuration
annotation no longer contains the minReadySeconds
field.
apiVersion: apps/v1
kind: Deployment
metadata:
annotations:
# ...
# The annotation contains the updated image to nginx 1.11.9,
# but does not contain the updated replicas to 2
kubectl.kubernetes.io/last-applied-configuration: |
{"apiVersion":"apps/v1","kind":"Deployment",
"metadata":{"annotations":{},"name":"nginx-deployment","namespace":"default"},
"spec":{"selector":{"matchLabels":{"app":nginx}},"template":{"metadata":{"labels":{"app":"nginx"}},
"spec":{"containers":[{"image":"nginx:1.11.9","name":"nginx",
"ports":[{"containerPort":80}]}]}}}}
# ...
spec:
replicas: 2 # Set by `kubectl scale`. Ignored by `kubectl apply`.
# minReadySeconds cleared by `kubectl apply`
# ...
selector:
matchLabels:
# ...
app: nginx
template:
metadata:
# ...
labels:
app: nginx
spec:
containers:
- image: nginx:1.11.9 # Set by `kubectl apply`
# ...
name: nginx
ports:
- containerPort: 80
# ...
# ...
# ...
# ...
Warning: Mixingkubectl apply
with the imperative object configuration commandscreate
andreplace
is not supported. This is becausecreate
andreplace
do not retain thekubectl.kubernetes.io/last-applied-configuration
thatkubectl apply
uses to compute updates.
There are two approaches to delete objects managed by kubectl apply
.
kubectl delete -f <filename>
Manually deleting objects using the imperative command is the recommended approach, as it is more explicit about what is being deleted, and less likely to result in the user deleting something unintentionally:
kubectl delete -f <filename>
kubectl apply -f <directory/> --prune -l your=label
Only use this if you know what you are doing.
Warning:kubectl apply --prune
is in alpha, and backwards incompatible changes might be introduced in subsequent releases.
Warning: You must be careful when using this command, so that you do not delete objects unintentionally.
As an alternative to kubectl delete
, you can use kubectl apply
to identify objects to be deleted after their
configuration files have been removed from the directory. Apply with --prune
queries the API server for all objects matching a set of labels, and attempts
to match the returned live object configurations against the object
configuration files. If an object matches the query, and it does not have a
configuration file in the directory, and it has a last-applied-configuration
annotation,
it is deleted.
kubectl apply -f <directory/> --prune -l <labels>
Warning: Apply with prune should only be run against the root directory containing the object configuration files. Running against sub-directories can cause objects to be unintentionally deleted if they are returned by the label selector query specified with-l <labels>
and do not appear in the subdirectory.
You can use kubectl get
with -o yaml
to view the configuration of a live object:
kubectl get -f <filename|url> -o yaml
Caution: A patch is an update operation that is scoped to specific fields of an object instead of the entire object. This enables updating only a specific set of fields on an object without reading the object first.
When kubectl apply
updates the live configuration for an object,
it does so by sending a patch request to the API server. The
patch defines updates scoped to specific fields of the live object
configuration. The kubectl apply
command calculates this patch request
using the configuration file, the live configuration, and the
last-applied-configuration
annotation stored in the live configuration.
The kubectl apply
command writes the contents of the configuration file to the
kubectl.kubernetes.io/last-applied-configuration
annotation. This
is used to identify fields that have been removed from the configuration
file and need to be cleared from the live configuration. Here are the steps used
to calculate which fields should be deleted or set:
last-applied-configuration
and missing from the configuration file.Here’s an example. Suppose this is the configuration file for a Deployment object:
application/update_deployment.yaml
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Also, suppose this is the live configuration for the same Deployment object:
apiVersion: apps/v1
kind: Deployment
metadata:
annotations:
# ...
# note that the annotation does not contain replicas
# because it was not updated through apply
kubectl.kubernetes.io/last-applied-configuration: |
{"apiVersion":"apps/v1","kind":"Deployment",
"metadata":{"annotations":{},"name":"nginx-deployment","namespace":"default"},
"spec":{"minReadySeconds":5,"selector":{"matchLabels":{"app":nginx}},"template":{"metadata":{"labels":{"app":"nginx"}},
"spec":{"containers":[{"image":"nginx:1.7.9","name":"nginx",
"ports":[{"containerPort":80}]}]}}}}
# ...
spec:
replicas: 2 # written by scale
# ...
minReadySeconds: 5
selector:
matchLabels:
# ...
app: nginx
template:
metadata:
# ...
labels:
app: nginx
spec:
containers:
- image: nginx:1.7.9
# ...
name: nginx
ports:
- containerPort: 80
# ...
Here are the merge calculations that would be performed by kubectl apply
:
last-applied-configuration
and comparing them to values in the
configuration file.
Clear fields explicitly set to null in the local object configuration file
regardless of whether they appear in the last-applied-configuration
.
In this example, minReadySeconds
appears in the
last-applied-configuration
annotation, but does not appear in the configuration file.
Action: Clear minReadySeconds
from the live configuration.image
in the configuration file does not match
the value in the live configuration. Action: Set the value of image
in the live configuration.last-applied-configuration
annotation to match the value
of the configuration file.Here is the live configuration that is the result of the merge:
apiVersion: apps/v1
kind: Deployment
metadata:
annotations:
# ...
# The annotation contains the updated image to nginx 1.11.9,
# but does not contain the updated replicas to 2
kubectl.kubernetes.io/last-applied-configuration: |
{"apiVersion":"apps/v1","kind":"Deployment",
"metadata":{"annotations":{},"name":"nginx-deployment","namespace":"default"},
"spec":{"selector":{"matchLabels":{"app":nginx}},"template":{"metadata":{"labels":{"app":"nginx"}},
"spec":{"containers":[{"image":"nginx:1.11.9","name":"nginx",
"ports":[{"containerPort":80}]}]}}}}
# ...
spec:
selector:
matchLabels:
# ...
app: nginx
replicas: 2 # Set by `kubectl scale`. Ignored by `kubectl apply`.
# minReadySeconds cleared by `kubectl apply`
# ...
template:
metadata:
# ...
labels:
app: nginx
spec:
containers:
- image: nginx:1.11.9 # Set by `kubectl apply`
# ...
name: nginx
ports:
- containerPort: 80
# ...
# ...
# ...
# ...
How a particular field in a configuration file is merged with the live configuration depends on the type of the field. There are several types of fields:
primitive: A field of type string, integer, or boolean.
For example, image
and replicas
are primitive fields. Action: Replace.
map, also called object: A field of type map or a complex type that contains subfields. For example, labels
,
annotations
,spec
and metadata
are all maps. Action: Merge elements or subfields.
list: A field containing a list of items that can be either primitive types or maps.
For example, containers
, ports
, and args
are lists. Action: Varies.
When kubectl apply
updates a map or list field, it typically does
not replace the entire field, but instead updates the individual subelements.
For instance, when merging the spec
on a Deployment, the entire spec
is
not replaced. Instead the subfields of spec
, such as replicas
, are compared
and merged.
Primitive fields are replaced or cleared.
Note:-
is used for “not applicable” because the value is not used.
Field in object configuration file | Field in live object configuration | Field in last-applied-configuration | Action |
---|---|---|---|
Yes | Yes | - | Set live to configuration file value. |
Yes | No | - | Set live to local configuration. |
No | - | Yes | Clear from live configuration. |
No | - | No | Do nothing. Keep live value. |
Fields that represent maps are merged by comparing each of the subfields or elements of the map:
Note:-
is used for “not applicable” because the value is not used.
Key in object configuration file | Key in live object configuration | Field in last-applied-configuration | Action |
---|---|---|---|
Yes | Yes | - | Compare sub fields values. |
Yes | No | - | Set live to local configuration. |
No | - | Yes | Delete from live configuration. |
No | - | No | Do nothing. Keep live value. |
Merging changes to a list uses one of three strategies:
The choice of strategy is made on a per-field basis.
Treat the list the same as a primitive field. Replace or delete the entire list. This preserves ordering.
Example: Use kubectl apply
to update the args
field of a Container in a Pod. This sets
the value of args
in the live configuration to the value in the configuration file.
Any args
elements that had previously been added to the live configuration are lost.
The order of the args
elements defined in the configuration file is
retained in the live configuration.
# last-applied-configuration value
args: ["a", "b"]
# configuration file value
args: ["a", "c"]
# live configuration
args: ["a", "b", "d"]
# result after merge
args: ["a", "c"]
Explanation: The merge used the configuration file value as the new list value.
Treat the list as a map, and treat a specific field of each element as a key. Add, delete, or update individual elements. This does not preserve ordering.
This merge strategy uses a special tag on each field called a patchMergeKey
. The
patchMergeKey
is defined for each field in the Kubernetes source code:
types.go
When merging a list of maps, the field specified as the patchMergeKey
for a given element
is used like a map key for that element.
Example: Use kubectl apply
to update the containers
field of a PodSpec.
This merges the list as though it was a map where each element is keyed
by name
.
# last-applied-configuration value
containers:
- name: nginx
image: nginx:1.10
- name: nginx-helper-a # key: nginx-helper-a; will be deleted in result
image: helper:1.3
- name: nginx-helper-b # key: nginx-helper-b; will be retained
image: helper:1.3
# configuration file value
containers:
- name: nginx
image: nginx:1.10
- name: nginx-helper-b
image: helper:1.3
- name: nginx-helper-c # key: nginx-helper-c; will be added in result
image: helper:1.3
# live configuration
containers:
- name: nginx
image: nginx:1.10
- name: nginx-helper-a
image: helper:1.3
- name: nginx-helper-b
image: helper:1.3
args: ["run"] # Field will be retained
- name: nginx-helper-d # key: nginx-helper-d; will be retained
image: helper:1.3
# result after merge
containers:
- name: nginx
image: nginx:1.10
# Element nginx-helper-a was deleted
- name: nginx-helper-b
image: helper:1.3
args: ["run"] # Field was retained
- name: nginx-helper-c # Element was added
image: helper:1.3
- name: nginx-helper-d # Element was ignored
image: helper:1.3
Explanation:
args
in the live configuration. kubectl apply
was able to identify
that “nginx-helper-b” in the live configuration was the same
“nginx-helper-b” as in the configuration file, even though their fields
had different values (no args
in the configuration file). This is
because the patchMergeKey
field value (name) was identical in both.As of Kubernetes 1.5, merging lists of primitive elements is not supported.
Note: Which of the above strategies is chosen for a given field is controlled by thepatchStrategy
tag in types.go If nopatchStrategy
is specified for a field of type list, then the list is replaced.
The API server sets certain fields to default values in the live configuration if they are not specified when the object is created.
Here’s a configuration file for a Deployment. The file does not specify strategy
:
application/simple_deployment.yaml
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|
Create the object using kubectl apply
:
kubectl apply -f https://k8s.io/examples/application/simple_deployment.yaml
Print the live configuration using kubectl get
:
kubectl get -f https://k8s.io/examples/application/simple_deployment.yaml -o yaml
The output shows that the API server set several fields to default values in the live configuration. These fields were not specified in the configuration file.
apiVersion: apps/v1
kind: Deployment
# ...
spec:
selector:
matchLabels:
app: nginx
minReadySeconds: 5
replicas: 1 # defaulted by apiserver
strategy:
rollingUpdate: # defaulted by apiserver - derived from strategy.type
maxSurge: 1
maxUnavailable: 1
type: RollingUpdate # defaulted by apiserver
template:
metadata:
creationTimestamp: null
labels:
app: nginx
spec:
containers:
- image: nginx:1.7.9
imagePullPolicy: IfNotPresent # defaulted by apiserver
name: nginx
ports:
- containerPort: 80
protocol: TCP # defaulted by apiserver
resources: {} # defaulted by apiserver
terminationMessagePath: /dev/termination-log # defaulted by apiserver
dnsPolicy: ClusterFirst # defaulted by apiserver
restartPolicy: Always # defaulted by apiserver
securityContext: {} # defaulted by apiserver
terminationGracePeriodSeconds: 30 # defaulted by apiserver
# ...
In a patch request, defaulted fields are not re-defaulted unless they are explicitly cleared as part of a patch request. This can cause unexpected behavior for fields that are defaulted based on the values of other fields. When the other fields are later changed, the values defaulted from them will not be updated unless they are explicitly cleared.
For this reason, it is recommended that certain fields defaulted by the server are explicitly defined in the configuration file, even if the desired values match the server defaults. This makes it easier to recognize conflicting values that will not be re-defaulted by the server.
Example:
# last-applied-configuration
spec:
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx:1.7.9
ports:
- containerPort: 80
# configuration file
spec:
strategy:
type: Recreate # updated value
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx:1.7.9
ports:
- containerPort: 80
# live configuration
spec:
strategy:
type: RollingUpdate # defaulted value
rollingUpdate: # defaulted value derived from type
maxSurge : 1
maxUnavailable: 1
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx:1.7.9
ports:
- containerPort: 80
# result after merge - ERROR!
spec:
strategy:
type: Recreate # updated value: incompatible with rollingUpdate
rollingUpdate: # defaulted value: incompatible with "type: Recreate"
maxSurge : 1
maxUnavailable: 1
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx:1.7.9
ports:
- containerPort: 80
Explanation:
strategy.type
.strategy.type
to RollingUpdate
and defaults the
strategy.rollingUpdate
values.strategy.type
to Recreate
. The strategy.rollingUpdate
values remain at their defaulted values, though the server expects them to be cleared.
If the strategy.rollingUpdate
values had been defined initially in the configuration file,
it would have been more clear that they needed to be deleted.strategy.rollingUpdate
is not cleared. The strategy.rollingupdate
field cannot be defined with a strategy.type
of Recreate
.Recommendation: These fields should be explicitly defined in the object configuration file:
Fields that do not appear in the configuration file can be cleared by
setting their values to null
and then applying the configuration file.
For fields defaulted by the server, this triggers re-defaulting
the values.
These are the only methods you should use to change an individual object field:
kubectl apply
.kubectl scale
.Add the field to the configuration file. For the field, discontinue direct updates to
the live configuration that do not go through kubectl apply
.
As of Kubernetes 1.5, changing ownership of a field from a configuration file to an imperative writer requires manual steps:
kubectl.kubernetes.io/last-applied-configuration
annotation on the live object.Kubernetes objects should be managed using only one method at a time. Switching from one method to another is possible, but is a manual process.
Note: It is OK to use imperative deletion with declarative management.
Migrating from imperative command management to declarative object configuration involves several manual steps:
Export the live object to a local configuration file:
kubectl get <kind>/<name> -o yaml > <kind>_<name>.yaml
Manually remove the status
field from the configuration file.
Note: This step is optional, askubectl apply
does not update the status field even if it is present in the configuration file.
Set the kubectl.kubernetes.io/last-applied-configuration
annotation on the object:
kubectl replace --save-config -f <kind>_<name>.yaml
Change processes to use kubectl apply
for managing the object exclusively.
Set the kubectl.kubernetes.io/last-applied-configuration
annotation on the object:
kubectl replace --save-config -f <kind>_<name>.yaml
Change processes to use kubectl apply
for managing the object exclusively.
Warning: Updating selectors on controllers is strongly discouraged.
The recommended approach is to define a single, immutable PodTemplate label used only by the controller selector with no other semantic meaning.
Example:
selector:
matchLabels:
controller-selector: "extensions/v1beta1/deployment/nginx"
template:
metadata:
labels:
controller-selector: "extensions/v1beta1/deployment/nginx"
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