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Extend the Kubernetes API with CustomResourceDefinitions
This page shows how to install a custom resource into the Kubernetes API by creating a CustomResourceDefinition.
Before you begin
You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster. It is recommended to run this tutorial on a cluster with at least two nodes that are not acting as control plane hosts. If you do not already have a cluster, you can create one by using minikube or you can use one of these Kubernetes playgrounds:
Your Kubernetes server must be at or later than version 1.16. To check the version, enterkubectl version
.
If you are using an older version of Kubernetes that is still supported, switch to
the documentation for that version to see advice that is relevant for your cluster.
Create a CustomResourceDefinition
When you create a new CustomResourceDefinition (CRD), the Kubernetes API Server
creates a new RESTful resource path for each version you specify. The custom
resource created from a CRD object can be either namespaced or cluster-scoped,
as specified in the CRD's spec.scope
field. As with existing built-in
objects, deleting a namespace deletes all custom objects in that namespace.
CustomResourceDefinitions themselves are non-namespaced and are available to
all namespaces.
For example, if you save the following CustomResourceDefinition to resourcedefinition.yaml
:
apiVersion: apiextensions.k8s.io/v1
kind: CustomResourceDefinition
metadata:
# name must match the spec fields below, and be in the form: <plural>.<group>
name: crontabs.stable.example.com
spec:
# group name to use for REST API: /apis/<group>/<version>
group: stable.example.com
# list of versions supported by this CustomResourceDefinition
versions:
- name: v1
# Each version can be enabled/disabled by Served flag.
served: true
# One and only one version must be marked as the storage version.
storage: true
schema:
openAPIV3Schema:
type: object
properties:
spec:
type: object
properties:
cronSpec:
type: string
image:
type: string
replicas:
type: integer
# either Namespaced or Cluster
scope: Namespaced
names:
# plural name to be used in the URL: /apis/<group>/<version>/<plural>
plural: crontabs
# singular name to be used as an alias on the CLI and for display
singular: crontab
# kind is normally the CamelCased singular type. Your resource manifests use this.
kind: CronTab
# shortNames allow shorter string to match your resource on the CLI
shortNames:
- ct
and create it:
kubectl apply -f resourcedefinition.yaml
Then a new namespaced RESTful API endpoint is created at:
/apis/stable.example.com/v1/namespaces/*/crontabs/...
This endpoint URL can then be used to create and manage custom objects.
The kind
of these objects will be CronTab
from the spec of the
CustomResourceDefinition object you created above.
It might take a few seconds for the endpoint to be created.
You can watch the Established
condition of your CustomResourceDefinition
to be true or watch the discovery information of the API server for your
resource to show up.
Create custom objects
After the CustomResourceDefinition object has been created, you can create
custom objects. Custom objects can contain custom fields. These fields can
contain arbitrary JSON.
In the following example, the cronSpec
and image
custom fields are set in a
custom object of kind CronTab
. The kind CronTab
comes from the spec of the
CustomResourceDefinition object you created above.
If you save the following YAML to my-crontab.yaml
:
apiVersion: "stable.example.com/v1"
kind: CronTab
metadata:
name: my-new-cron-object
spec:
cronSpec: "* * * * */5"
image: my-awesome-cron-image
and create it:
kubectl apply -f my-crontab.yaml
You can then manage your CronTab objects using kubectl. For example:
kubectl get crontab
Should print a list like this:
NAME AGE
my-new-cron-object 6s
Resource names are not case-sensitive when using kubectl, and you can use either the singular or plural forms defined in the CRD, as well as any short names.
You can also view the raw YAML data:
kubectl get ct -o yaml
You should see that it contains the custom cronSpec
and image
fields
from the YAML you used to create it:
apiVersion: v1
items:
- apiVersion: stable.example.com/v1
kind: CronTab
metadata:
annotations:
kubectl.kubernetes.io/last-applied-configuration: |
{"apiVersion":"stable.example.com/v1","kind":"CronTab","metadata":{"annotations":{},"name":"my-new-cron-object","namespace":"default"},"spec":{"cronSpec":"* * * * */5","image":"my-awesome-cron-image"}}
creationTimestamp: "2021-06-20T07:35:27Z"
generation: 1
name: my-new-cron-object
namespace: default
resourceVersion: "1326"
uid: 9aab1d66-628e-41bb-a422-57b8b3b1f5a9
spec:
cronSpec: '* * * * */5'
image: my-awesome-cron-image
kind: List
metadata:
resourceVersion: ""
selfLink: ""
Delete a CustomResourceDefinition
When you delete a CustomResourceDefinition, the server will uninstall the RESTful API endpoint and delete all custom objects stored in it.
kubectl delete -f resourcedefinition.yaml
kubectl get crontabs
Error from server (NotFound): Unable to list {"stable.example.com" "v1" "crontabs"}: the server could not
find the requested resource (get crontabs.stable.example.com)
If you later recreate the same CustomResourceDefinition, it will start out empty.
Specifying a structural schema
CustomResources store structured data in custom fields (alongside the built-in
fields apiVersion
, kind
and metadata
, which the API server validates
implicitly). With OpenAPI v3.0 validation a schema can be
specified, which is validated during creation and updates, compare below for
details and limits of such a schema.
With apiextensions.k8s.io/v1
the definition of a structural schema is
mandatory for CustomResourceDefinitions. In the beta version of
CustomResourceDefinition, the structural schema was optional.
A structural schema is an OpenAPI v3.0 validation schema which:
- specifies a non-empty type (via
type
in OpenAPI) for the root, for each specified field of an object node (viaproperties
oradditionalProperties
in OpenAPI) and for each item in an array node (viaitems
in OpenAPI), with the exception of:- a node with
x-kubernetes-int-or-string: true
- a node with
x-kubernetes-preserve-unknown-fields: true
- a node with
- for each field in an object and each item in an array which is specified within any of
allOf
,anyOf
,oneOf
ornot
, the schema also specifies the field/item outside of those logical junctors (compare example 1 and 2). - does not set
description
,type
,default
,additionalProperties
,nullable
within anallOf
,anyOf
,oneOf
ornot
, with the exception of the two pattern forx-kubernetes-int-or-string: true
(see below). - if
metadata
is specified, then only restrictions onmetadata.name
andmetadata.generateName
are allowed.
Non-structural example 1:
allOf:
- properties:
foo:
...
conflicts with rule 2. The following would be correct:
properties:
foo:
...
allOf:
- properties:
foo:
...
Non-structural example 2:
allOf:
- items:
properties:
foo:
...
conflicts with rule 2. The following would be correct:
items:
properties:
foo:
...
allOf:
- items:
properties:
foo:
...
Non-structural example 3:
properties:
foo:
pattern: "abc"
metadata:
type: object
properties:
name:
type: string
pattern: "^a"
finalizers:
type: array
items:
type: string
pattern: "my-finalizer"
anyOf:
- properties:
bar:
type: integer
minimum: 42
required: ["bar"]
description: "foo bar object"
is not a structural schema because of the following violations:
- the type at the root is missing (rule 1).
- the type of
foo
is missing (rule 1). bar
inside ofanyOf
is not specified outside (rule 2).bar
'stype
is withinanyOf
(rule 3).- the description is set within
anyOf
(rule 3). metadata.finalizers
might not be restricted (rule 4).
In contrast, the following, corresponding schema is structural:
type: object
description: "foo bar object"
properties:
foo:
type: string
pattern: "abc"
bar:
type: integer
metadata:
type: object
properties:
name:
type: string
pattern: "^a"
anyOf:
- properties:
bar:
minimum: 42
required: ["bar"]
Violations of the structural schema rules are reported in the NonStructural
condition in the
CustomResourceDefinition.
Field pruning
CustomResourceDefinitions store validated resource data in the cluster's persistence store, etcd. As with native Kubernetes resources such as ConfigMap, if you specify a field that the API server does not recognize, the unknown field is pruned (removed) before being persisted.
CRDs converted from apiextensions.k8s.io/v1beta1
to apiextensions.k8s.io/v1
might lack
structural schemas, and spec.preserveUnknownFields
might be true
.
For legacy CustomResourceDefinition objects created as
apiextensions.k8s.io/v1beta1
with spec.preserveUnknownFields
set to
true
, the following is also true:
- Pruning is not enabled.
- You can store arbitrary data.
For compatibility with apiextensions.k8s.io/v1
, update your custom
resource definitions to:
- Use a structural OpenAPI schema.
- Set
spec.preserveUnknownFields
tofalse
.
If you save the following YAML to my-crontab.yaml
:
apiVersion: "stable.example.com/v1"
kind: CronTab
metadata:
name: my-new-cron-object
spec:
cronSpec: "* * * * */5"
image: my-awesome-cron-image
someRandomField: 42
and create it:
kubectl create --validate=false -f my-crontab.yaml -o yaml
Your output is similar to:
apiVersion: stable.example.com/v1
kind: CronTab
metadata:
creationTimestamp: 2017-05-31T12:56:35Z
generation: 1
name: my-new-cron-object
namespace: default
resourceVersion: "285"
uid: 9423255b-4600-11e7-af6a-28d2447dc82b
spec:
cronSpec: '* * * * */5'
image: my-awesome-cron-image
Notice that the field someRandomField
was pruned.
This example turned off client-side validation to demonstrate the API server's behavior, by adding
the --validate=false
command line option.
Because the OpenAPI validation schemas are also published
to clients, kubectl
also checks for unknown fields and rejects those objects well before they
would be sent to the API server.
Controlling pruning
By default, all unspecified fields for a custom resource, across all versions, are pruned. It is possible though to
opt-out of that for specific sub-trees of fields by adding x-kubernetes-preserve-unknown-fields: true
in the
structural OpenAPI v3 validation schema.
For example:
type: object
properties:
json:
x-kubernetes-preserve-unknown-fields: true
The field json
can store any JSON value, without anything being pruned.
You can also partially specify the permitted JSON; for example:
type: object
properties:
json:
x-kubernetes-preserve-unknown-fields: true
type: object
description: this is arbitrary JSON
With this, only object
type values are allowed.
Pruning is enabled again for each specified property (or additionalProperties
):
type: object
properties:
json:
x-kubernetes-preserve-unknown-fields: true
type: object
properties:
spec:
type: object
properties:
foo:
type: string
bar:
type: string
With this, the value:
json:
spec:
foo: abc
bar: def
something: x
status:
something: x
is pruned to:
json:
spec:
foo: abc
bar: def
status:
something: x
This means that the something
field in the specified spec
object is pruned, but everything outside is not.
IntOrString
Nodes in a schema with x-kubernetes-int-or-string: true
are excluded from rule 1, such that the
following is structural:
type: object
properties:
foo:
x-kubernetes-int-or-string: true
Also those nodes are partially excluded from rule 3 in the sense that the following two patterns are allowed (exactly those, without variations in order to additional fields):
x-kubernetes-int-or-string: true
anyOf:
- type: integer
- type: string
...
and
x-kubernetes-int-or-string: true
allOf:
- anyOf:
- type: integer
- type: string
- ... # zero or more
...
With one of those specification, both an integer and a string validate.
In Validation Schema Publishing,
x-kubernetes-int-or-string: true
is unfolded to one of the two patterns shown above.
RawExtension
RawExtensions (as in runtime.RawExtension
)
holds complete Kubernetes objects, i.e. with apiVersion
and kind
fields.
It is possible to specify those embedded objects (both completely without constraints or partially specified)
by setting x-kubernetes-embedded-resource: true
. For example:
type: object
properties:
foo:
x-kubernetes-embedded-resource: true
x-kubernetes-preserve-unknown-fields: true
Here, the field foo
holds a complete object, e.g.:
foo:
apiVersion: v1
kind: Pod
spec:
...
Because x-kubernetes-preserve-unknown-fields: true
is specified alongside, nothing is pruned.
The use of x-kubernetes-preserve-unknown-fields: true
is optional though.
With x-kubernetes-embedded-resource: true
, the apiVersion
, kind
and metadata
are implicitly specified and validated.
Serving multiple versions of a CRD
See Custom resource definition versioning for more information about serving multiple versions of your CustomResourceDefinition and migrating your objects from one version to another.
Advanced topics
Finalizers
Finalizers allow controllers to implement asynchronous pre-delete hooks. Custom objects support finalizers similar to built-in objects.
You can add a finalizer to a custom object like this:
apiVersion: "stable.example.com/v1"
kind: CronTab
metadata:
finalizers:
- stable.example.com/finalizer
Identifiers of custom finalizers consist of a domain name, a forward slash and the name of the finalizer. Any controller can add a finalizer to any object's list of finalizers.
The first delete request on an object with finalizers sets a value for the
metadata.deletionTimestamp
field but does not delete it. Once this value is set,
entries in the finalizers
list can only be removed. While any finalizers remain it is also
impossible to force the deletion of an object.
When the metadata.deletionTimestamp
field is set, controllers watching the object execute any
finalizers they handle and remove the finalizer from the list after they are done. It is the
responsibility of each controller to remove its finalizer from the list.
The value of metadata.deletionGracePeriodSeconds
controls the interval between polling updates.
Once the list of finalizers is empty, meaning all finalizers have been executed, the resource is deleted by Kubernetes.
Validation
Custom resources are validated via OpenAPI v3.0 schemas, by x-kubernetes-validations when the Validation Rules feature is enabled, and you can add additional validation using admission webhooks.
Additionally, the following restrictions are applied to the schema:
-
These fields cannot be set:
definitions
,dependencies
,deprecated
,discriminator
,id
,patternProperties
,readOnly
,writeOnly
,xml
,$ref
.
-
The field
uniqueItems
cannot be set totrue
. -
The field
additionalProperties
cannot be set tofalse
. -
The field
additionalProperties
is mutually exclusive withproperties
.
The x-kubernetes-validations
extension can be used to validate custom resources using
Common Expression Language (CEL) expressions when the
Validation rules feature is enabled and the CustomResourceDefinition schema is a
structural schema.
Refer to the structural schemas section for other restrictions and CustomResourceDefinition features.
The schema is defined in the CustomResourceDefinition. In the following example, the CustomResourceDefinition applies the following validations on the custom object:
spec.cronSpec
must be a string and must be of the form described by the regular expression.spec.replicas
must be an integer and must have a minimum value of 1 and a maximum value of 10.
Save the CustomResourceDefinition to resourcedefinition.yaml
:
apiVersion: apiextensions.k8s.io/v1
kind: CustomResourceDefinition
metadata:
name: crontabs.stable.example.com
spec:
group: stable.example.com
versions:
- name: v1
served: true
storage: true
schema:
# openAPIV3Schema is the schema for validating custom objects.
openAPIV3Schema:
type: object
properties:
spec:
type: object
properties:
cronSpec:
type: string
pattern: '^(\d+|\*)(/\d+)?(\s+(\d+|\*)(/\d+)?){4}$'
image:
type: string
replicas:
type: integer
minimum: 1
maximum: 10
scope: Namespaced
names:
plural: crontabs
singular: crontab
kind: CronTab
shortNames:
- ct
and create it:
kubectl apply -f resourcedefinition.yaml
A request to create a custom object of kind CronTab is rejected if there are invalid values in its fields. In the following example, the custom object contains fields with invalid values:
spec.cronSpec
does not match the regular expression.spec.replicas
is greater than 10.
If you save the following YAML to my-crontab.yaml
:
apiVersion: "stable.example.com/v1"
kind: CronTab
metadata:
name: my-new-cron-object
spec:
cronSpec: "* * * *"
image: my-awesome-cron-image
replicas: 15
and attempt to create it:
kubectl apply -f my-crontab.yaml
then you get an error:
The CronTab "my-new-cron-object" is invalid: []: Invalid value: map[string]interface {}{"apiVersion":"stable.example.com/v1", "kind":"CronTab", "metadata":map[string]interface {}{"name":"my-new-cron-object", "namespace":"default", "deletionTimestamp":interface {}(nil), "deletionGracePeriodSeconds":(*int64)(nil), "creationTimestamp":"2017-09-05T05:20:07Z", "uid":"e14d79e7-91f9-11e7-a598-f0761cb232d1", "clusterName":""}, "spec":map[string]interface {}{"cronSpec":"* * * *", "image":"my-awesome-cron-image", "replicas":15}}:
validation failure list:
spec.cronSpec in body should match '^(\d+|\*)(/\d+)?(\s+(\d+|\*)(/\d+)?){4}$'
spec.replicas in body should be less than or equal to 10
If the fields contain valid values, the object creation request is accepted.
Save the following YAML to my-crontab.yaml
:
apiVersion: "stable.example.com/v1"
kind: CronTab
metadata:
name: my-new-cron-object
spec:
cronSpec: "* * * * */5"
image: my-awesome-cron-image
replicas: 5
And create it:
kubectl apply -f my-crontab.yaml
crontab "my-new-cron-object" created
Validation ratcheting
Kubernetes v1.30 [beta]
(enabled by default: true)
If you are using a version of Kubernetes older than v1.30, you need to explicitly
enable the CRDValidationRatcheting
feature gate to
use this behavior, which then applies to all CustomResourceDefinitions in your
cluster.
Provided you enabled the feature gate, Kubernetes implements validation ratcheting for CustomResourceDefinitions. The API server is willing to accept updates to resources that are not valid after the update, provided that each part of the resource that failed to validate was not changed by the update operation. In other words, any invalid part of the resource that remains invalid must have already been wrong. You cannot use this mechanism to update a valid resource so that it becomes invalid.
This feature allows authors of CRDs to confidently add new validations to the OpenAPIV3 schema under certain conditions. Users can update to the new schema safely without bumping the version of the object or breaking workflows.
While most validations placed in the OpenAPIV3 schema of a CRD support ratcheting, there are a few exceptions. The following OpenAPIV3 schema validations are not supported by ratcheting under the implementation in Kubernetes 1.31 and if violated will continue to throw an error as normally:
-
Quantors
allOf
oneOf
anyOf
not
- any validations in a descendent of one of these fields
-
x-kubernetes-validations
For Kubernetes 1.28, CRD validation rules are ignored by ratcheting. Starting with Alpha 2 in Kubernetes 1.29,x-kubernetes-validations
are ratcheted only if they do not refer tooldSelf
.Transition Rules are never ratcheted: only errors raised by rules that do not use
oldSelf
will be automatically ratcheted if their values are unchanged.To write custom ratcheting logic for CEL expressions, check out optionalOldSelf.
-
x-kubernetes-list-type
Errors arising from changing the list type of a subschema will not be ratcheted. For example addingset
onto a list with duplicates will always result in an error. -
x-kubernetes-map-keys
Errors arising from changing the map keys of a list schema will not be ratcheted. -
required
Errors arising from changing the list of required fields will not be ratcheted. -
properties
Adding/removing/modifying the names of properties is not ratcheted, but changes to validations in each properties' schemas and subschemas may be ratcheted if the name of the property stays the same. -
additionalProperties
To remove a previously specifiedadditionalProperties
validation will not be ratcheted. -
metadata
Errors that come from Kubernetes' built-in validation of an object'smetadata
are not ratcheted (such as object name, or characters in a label value). If you specify your own additional rules for the metadata of a custom resource, that additional validation will be ratcheted.
Validation rules
Kubernetes v1.29 [stable]
Validation rules use the Common Expression Language (CEL)
to validate custom resource values. Validation rules are included in
CustomResourceDefinition schemas using the x-kubernetes-validations
extension.
The Rule is scoped to the location of the x-kubernetes-validations
extension in the schema.
And self
variable in the CEL expression is bound to the scoped value.
All validation rules are scoped to the current object: no cross-object or stateful validation rules are supported.
For example:
...
openAPIV3Schema:
type: object
properties:
spec:
type: object
x-kubernetes-validations:
- rule: "self.minReplicas <= self.replicas"
message: "replicas should be greater than or equal to minReplicas."
- rule: "self.replicas <= self.maxReplicas"
message: "replicas should be smaller than or equal to maxReplicas."
properties:
...
minReplicas:
type: integer
replicas:
type: integer
maxReplicas:
type: integer
required:
- minReplicas
- replicas
- maxReplicas
will reject a request to create this custom resource:
apiVersion: "stable.example.com/v1"
kind: CronTab
metadata:
name: my-new-cron-object
spec:
minReplicas: 0
replicas: 20
maxReplicas: 10
with the response:
The CronTab "my-new-cron-object" is invalid:
* spec: Invalid value: map[string]interface {}{"maxReplicas":10, "minReplicas":0, "replicas":20}: replicas should be smaller than or equal to maxReplicas.
x-kubernetes-validations
could have multiple rules.
The rule
under x-kubernetes-validations
represents the expression which will be evaluated by CEL.
The message
represents the message displayed when validation fails. If message is unset, the
above response would be:
The CronTab "my-new-cron-object" is invalid:
* spec: Invalid value: map[string]interface {}{"maxReplicas":10, "minReplicas":0, "replicas":20}: failed rule: self.replicas <= self.maxReplicas
Note:
You can quickly test CEL expressions in CEL Playground.Validation rules are compiled when CRDs are created/updated. The request of CRDs create/update will fail if compilation of validation rules fail. Compilation process includes type checking as well.
The compilation failure:
-
no_matching_overload
: this function has no overload for the types of the arguments.For example, a rule like
self == true
against a field of integer type will get error:Invalid value: apiextensions.ValidationRule{Rule:"self == true", Message:""}: compilation failed: ERROR: \<input>:1:6: found no matching overload for '_==_' applied to '(int, bool)'
-
no_such_field
: does not contain the desired field.For example, a rule like
self.nonExistingField > 0
against a non-existing field will return the following error:Invalid value: apiextensions.ValidationRule{Rule:"self.nonExistingField > 0", Message:""}: compilation failed: ERROR: \<input>:1:5: undefined field 'nonExistingField'
-
invalid argument
: invalid argument to macros.For example, a rule like
has(self)
will return error:Invalid value: apiextensions.ValidationRule{Rule:"has(self)", Message:""}: compilation failed: ERROR: <input>:1:4: invalid argument to has() macro
Validation Rules Examples:
Rule | Purpose |
---|---|
self.minReplicas <= self.replicas && self.replicas <= self.maxReplicas |
Validate that the three fields defining replicas are ordered appropriately |
'Available' in self.stateCounts |
Validate that an entry with the 'Available' key exists in a map |
(size(self.list1) == 0) != (size(self.list2) == 0) |
Validate that one of two lists is non-empty, but not both |
!('MY_KEY' in self.map1) || self['MY_KEY'].matches('^[a-zA-Z]*$') |
Validate the value of a map for a specific key, if it is in the map |
self.envars.filter(e, e.name == 'MY_ENV').all(e, e.value.matches('^[a-zA-Z]*$') |
Validate the 'value' field of a listMap entry where key field 'name' is 'MY_ENV' |
has(self.expired) && self.created + self.ttl < self.expired |
Validate that 'expired' date is after a 'create' date plus a 'ttl' duration |
self.health.startsWith('ok') |
Validate a 'health' string field has the prefix 'ok' |
self.widgets.exists(w, w.key == 'x' && w.foo < 10) |
Validate that the 'foo' property of a listMap item with a key 'x' is less than 10 |
type(self) == string ? self == '100%' : self == 1000 |
Validate an int-or-string field for both the int and string cases |
self.metadata.name.startsWith(self.prefix) |
Validate that an object's name has the prefix of another field value |
self.set1.all(e, !(e in self.set2)) |
Validate that two listSets are disjoint |
size(self.names) == size(self.details) && self.names.all(n, n in self.details) |
Validate the 'details' map is keyed by the items in the 'names' listSet |
size(self.clusters.filter(c, c.name == self.primary)) == 1 |
Validate that the 'primary' property has one and only one occurrence in the 'clusters' listMap |
Xref: Supported evaluation on CEL
-
If the Rule is scoped to the root of a resource, it may make field selection into any fields declared in the OpenAPIv3 schema of the CRD as well as
apiVersion
,kind
,metadata.name
andmetadata.generateName
. This includes selection of fields in both thespec
andstatus
in the same expression:... openAPIV3Schema: type: object x-kubernetes-validations: - rule: "self.status.availableReplicas >= self.spec.minReplicas" properties: spec: type: object properties: minReplicas: type: integer ... status: type: object properties: availableReplicas: type: integer
-
If the Rule is scoped to an object with properties, the accessible properties of the object are field selectable via
self.field
and field presence can be checked viahas(self.field)
. Null valued fields are treated as absent fields in CEL expressions.... openAPIV3Schema: type: object properties: spec: type: object x-kubernetes-validations: - rule: "has(self.foo)" properties: ... foo: type: integer
-
If the Rule is scoped to an object with additionalProperties (i.e. a map) the value of the map are accessible via
self[mapKey]
, map containment can be checked viamapKey in self
and all entries of the map are accessible via CEL macros and functions such asself.all(...)
.... openAPIV3Schema: type: object properties: spec: type: object x-kubernetes-validations: - rule: "self['xyz'].foo > 0" additionalProperties: ... type: object properties: foo: type: integer
-
If the Rule is scoped to an array, the elements of the array are accessible via
self[i]
and also by macros and functions.... openAPIV3Schema: type: object properties: ... foo: type: array x-kubernetes-validations: - rule: "size(self) == 1" items: type: string
-
If the Rule is scoped to a scalar,
self
is bound to the scalar value.... openAPIV3Schema: type: object properties: spec: type: object properties: ... foo: type: integer x-kubernetes-validations: - rule: "self > 0"
Examples:
type of the field rule scoped to | Rule example |
---|---|
root object | self.status.actual <= self.spec.maxDesired |
map of objects | self.components['Widget'].priority < 10 |
list of integers | self.values.all(value, value >= 0 && value < 100) |
string | self.startsWith('kube') |
The apiVersion
, kind
, metadata.name
and metadata.generateName
are always accessible from
the root of the object and from any x-kubernetes-embedded-resource
annotated objects. No other
metadata properties are accessible.
Unknown data preserved in custom resources via x-kubernetes-preserve-unknown-fields
is not
accessible in CEL expressions. This includes:
-
Unknown field values that are preserved by object schemas with
x-kubernetes-preserve-unknown-fields
. -
Object properties where the property schema is of an "unknown type". An "unknown type" is recursively defined as:
- A schema with no type and x-kubernetes-preserve-unknown-fields set to true
- An array where the items schema is of an "unknown type"
- An object where the additionalProperties schema is of an "unknown type"
Only property names of the form [a-zA-Z_.-/][a-zA-Z0-9_.-/]*
are accessible.
Accessible property names are escaped according to the following rules when accessed in the expression:
escape sequence | property name equivalent |
---|---|
__underscores__ |
__ |
__dot__ |
. |
__dash__ |
- |
__slash__ |
/ |
__{keyword}__ |
CEL RESERVED keyword |
Note: CEL RESERVED keyword needs to match the exact property name to be escaped (e.g. int in the word sprint would not be escaped).
Examples on escaping:
property name | rule with escaped property name |
---|---|
namespace | self.__namespace__ > 0 |
x-prop | self.x__dash__prop > 0 |
redact__d | self.redact__underscores__d > 0 |
string | self.startsWith('kube') |
Equality on arrays with x-kubernetes-list-type
of set
or map
ignores element order,
i.e., [1, 2] == [2, 1]
. Concatenation on arrays with x-kubernetes-list-type use the semantics of
the list type:
-
set
:X + Y
performs a union where the array positions of all elements inX
are preserved and non-intersecting elements inY
are appended, retaining their partial order. -
map
:X + Y
performs a merge where the array positions of all keys inX
are preserved but the values are overwritten by values inY
when the key sets ofX
andY
intersect. Elements inY
with non-intersecting keys are appended, retaining their partial order.
Here is the declarations type mapping between OpenAPIv3 and CEL type:
OpenAPIv3 type | CEL type |
---|---|
'object' with Properties | object / "message type" |
'object' with AdditionalProperties | map |
'object' with x-kubernetes-embedded-type | object / "message type", 'apiVersion', 'kind', 'metadata.name' and 'metadata.generateName' are implicitly included in schema |
'object' with x-kubernetes-preserve-unknown-fields | object / "message type", unknown fields are NOT accessible in CEL expression |
x-kubernetes-int-or-string | dynamic object that is either an int or a string, type(value) can be used to check the type |
'array | list |
'array' with x-kubernetes-list-type=map | list with map based Equality & unique key guarantees |
'array' with x-kubernetes-list-type=set | list with set based Equality & unique entry guarantees |
'boolean' | boolean |
'number' (all formats) | double |
'integer' (all formats) | int (64) |
'null' | null_type |
'string' | string |
'string' with format=byte (base64 encoded) | bytes |
'string' with format=date | timestamp (google.protobuf.Timestamp) |
'string' with format=datetime | timestamp (google.protobuf.Timestamp) |
'string' with format=duration | duration (google.protobuf.Duration) |
xref: CEL types, OpenAPI types, Kubernetes Structural Schemas.
The messageExpression field
Similar to the message
field, which defines the string reported for a validation rule failure,
messageExpression
allows you to use a CEL expression to construct the message string.
This allows you to insert more descriptive information into the validation failure message.
messageExpression
must evaluate a string and may use the same variables that are available to the rule
field. For example:
x-kubernetes-validations:
- rule: "self.x <= self.maxLimit"
messageExpression: '"x exceeded max limit of " + string(self.maxLimit)'
Keep in mind that CEL string concatenation (+
operator) does not auto-cast to string. If
you have a non-string scalar, use the string(<value>)
function to cast the scalar to a string
like shown in the above example.
messageExpression
must evaluate to a string, and this is checked while the CRD is being written. Note that it is possible
to set message
and messageExpression
on the same rule, and if both are present, messageExpression
will be used. However, if messageExpression
evaluates to an error, the string defined in message
will be used instead, and the messageExpression
error will be logged. This fallback will also occur if
the CEL expression defined in messageExpression
generates an empty string, or a string containing line
breaks.
If one of the above conditions are met and no message
has been set, then the default validation failure
message will be used instead.
messageExpression
is a CEL expression, so the restrictions listed in Resource use by validation functions apply. If evaluation halts due to resource constraints
during messageExpression
execution, then no further validation rules will be executed.
Setting messageExpression
is optional.
The message
field
If you want to set a static message, you can supply message
rather than messageExpression
.
The value of message
is used as an opaque error string if validation fails.
Setting message
is optional.
The reason
field
You can add a machine-readable validation failure reason within a validation
, to be returned
whenever a request fails this validation rule.
For example:
x-kubernetes-validations:
- rule: "self.x <= self.maxLimit"
reason: "FieldValueInvalid"
The HTTP status code returned to the caller will match the reason of the first failed validation rule. The currently supported reasons are: "FieldValueInvalid", "FieldValueForbidden", "FieldValueRequired", "FieldValueDuplicate". If not set or unknown reasons, default to use "FieldValueInvalid".
Setting reason
is optional.
The fieldPath
field
You can specify the field path returned when the validation fails.
For example:
x-kubernetes-validations:
- rule: "self.foo.test.x <= self.maxLimit"
fieldPath: ".foo.test.x"
In the example above, the validation checks the value of field x
should be less than the value of maxLimit
.
If no fieldPath
specified, when validation fails, the fieldPath would be default to wherever self
scoped.
With fieldPath
specified, the returned error will have fieldPath
properly refer to the location of field x
.
The fieldPath
value must be a relative JSON path that is scoped to the location of this x-kubernetes-validations extension in the schema.
Additionally, it should refer to an existing field within the schema.
For example when validation checks if a specific attribute foo
under a map testMap
, you could set
fieldPath
to ".testMap.foo"
or .testMap['foo']'
.
If the validation requires checking for unique attributes in two lists, the fieldPath can be set to either of the lists.
For example, it can be set to .testList1
or .testList2
.
It supports child operation to refer to an existing field currently.
Refer to JSONPath support in Kubernetes for more info.
The fieldPath
field does not support indexing arrays numerically.
Setting fieldPath
is optional.
The optionalOldSelf
field
Kubernetes v1.30 [beta]
(enabled by default: true)
If your cluster does not have CRD validation ratcheting enabled, the CustomResourceDefinition API doesn't include this field, and trying to set it may result in an error.
The optionalOldSelf
field is a boolean field that alters the behavior of Transition Rules described
below. Normally, a transition rule will not evaluate if oldSelf
cannot be determined:
during object creation or when a new value is introduced in an update.
If optionalOldSelf
is set to true, then transition rules will always be
evaluated and the type of oldSelf
be changed to a CEL Optional
type.
optionalOldSelf
is useful in cases where schema authors would like a more
control tool than provided by the default equality based behavior of
to introduce newer, usually stricter constraints on new values, while still
allowing old values to be "grandfathered" or ratcheted using the older validation.
Example Usage:
CEL | Description |
---|---|
`self.foo == "foo" | |
[oldSelf.orValue(""), self].all(x, ["OldCase1", "OldCase2"].exists(case, x == case)) | |
oldSelf.optMap(o, o.size()).orValue(0) < 4 |
Validation functions
Functions available include:
- CEL standard functions, defined in the list of standard definitions
- CEL standard macros
- CEL extended string function library
- Kubernetes CEL extension library
Transition rules
A rule that contains an expression referencing the identifier oldSelf
is implicitly considered a
transition rule. Transition rules allow schema authors to prevent certain transitions between two
otherwise valid states. For example:
type: string
enum: ["low", "medium", "high"]
x-kubernetes-validations:
- rule: "!(self == 'high' && oldSelf == 'low') && !(self == 'low' && oldSelf == 'high')"
message: cannot transition directly between 'low' and 'high'
Unlike other rules, transition rules apply only to operations meeting the following criteria:
-
The operation updates an existing object. Transition rules never apply to create operations.
-
Both an old and a new value exist. It remains possible to check if a value has been added or removed by placing a transition rule on the parent node. Transition rules are never applied to custom resource creation. When placed on an optional field, a transition rule will not apply to update operations that set or unset the field.
-
The path to the schema node being validated by a transition rule must resolve to a node that is comparable between the old object and the new object. For example, list items and their descendants (
spec.foo[10].bar
) can't necessarily be correlated between an existing object and a later update to the same object.
Errors will be generated on CRD writes if a schema node contains a transition rule that can never be applied, e.g. "oldSelf cannot be used on the uncorrelatable portion of the schema within path".
Transition rules are only allowed on correlatable portions of a schema.
A portion of the schema is correlatable if all array
parent schemas are of type x-kubernetes-list-type=map
;
any set
or atomic
array parent schemas make it impossible to unambiguously correlate a self
with oldSelf
.
Here are some examples for transition rules:
Use Case | Rule |
---|---|
Immutability | self.foo == oldSelf.foo |
Prevent modification/removal once assigned | oldSelf != 'bar' || self == 'bar' or !has(oldSelf.field) || has(self.field) |
Append-only set | self.all(element, element in oldSelf) |
If previous value was X, new value can only be A or B, not Y or Z | oldSelf != 'X' || self in ['A', 'B'] |
Monotonic (non-decreasing) counters | self >= oldSelf |
Resource use by validation functions
When you create or update a CustomResourceDefinition that uses validation rules, the API server checks the likely impact of running those validation rules. If a rule is estimated to be prohibitively expensive to execute, the API server rejects the create or update operation, and returns an error message. A similar system is used at runtime that observes the actions the interpreter takes. If the interpreter executes too many instructions, execution of the rule will be halted, and an error will result. Each CustomResourceDefinition is also allowed a certain amount of resources to finish executing all of its validation rules. If the sum total of its rules are estimated at creation time to go over that limit, then a validation error will also occur.
You are unlikely to encounter issues with the resource budget for validation if you only
specify rules that always take the same amount of time regardless of how large their input is.
For example, a rule that asserts that self.foo == 1
does not by itself have any
risk of rejection on validation resource budget groups.
But if foo
is a string and you define a validation rule self.foo.contains("someString")
, that rule takes
longer to execute depending on how long foo
is.
Another example would be if foo
were an array, and you specified a validation rule self.foo.all(x, x > 5)
.
The cost system always assumes the worst-case scenario if a limit on the length of foo
is not
given, and this will happen for anything that can be iterated over (lists, maps, etc.).
Because of this, it is considered best practice to put a limit via maxItems
, maxProperties
, and
maxLength
for anything that will be processed in a validation rule in order to prevent validation
errors during cost estimation. For example, given this schema with one rule:
openAPIV3Schema:
type: object
properties:
foo:
type: array
items:
type: string
x-kubernetes-validations:
- rule: "self.all(x, x.contains('a string'))"
then the API server rejects this rule on validation budget grounds with error:
spec.validation.openAPIV3Schema.properties[spec].properties[foo].x-kubernetes-validations[0].rule: Forbidden:
CEL rule exceeded budget by more than 100x (try simplifying the rule, or adding maxItems, maxProperties, and
maxLength where arrays, maps, and strings are used)
The rejection happens because self.all
implies calling contains()
on every string in foo
,
which in turn will check the given string to see if it contains 'a string'
. Without limits, this
is a very expensive rule.
If you do not specify any validation limit, the estimated cost of this rule will exceed the per-rule cost limit. But if you add limits in the appropriate places, the rule will be allowed:
openAPIV3Schema:
type: object
properties:
foo:
type: array
maxItems: 25
items:
type: string
maxLength: 10
x-kubernetes-validations:
- rule: "self.all(x, x.contains('a string'))"
The cost estimation system takes into account how many times the rule will be executed in addition to the estimated cost of the rule itself. For instance, the following rule will have the same estimated cost as the previous example (despite the rule now being defined on the individual array items):
openAPIV3Schema:
type: object
properties:
foo:
type: array
maxItems: 25
items:
type: string
x-kubernetes-validations:
- rule: "self.contains('a string'))"
maxLength: 10
If a list inside of a list has a validation rule that uses self.all
, that is significantly more expensive
than a non-nested list with the same rule. A rule that would have been allowed on a non-nested list might need
lower limits set on both nested lists in order to be allowed. For example, even without having limits set,
the following rule is allowed:
openAPIV3Schema:
type: object
properties:
foo:
type: array
items:
type: integer
x-kubernetes-validations:
- rule: "self.all(x, x == 5)"
But the same rule on the following schema (with a nested array added) produces a validation error:
openAPIV3Schema:
type: object
properties:
foo:
type: array
items:
type: array
items:
type: integer
x-kubernetes-validations:
- rule: "self.all(x, x == 5)"
This is because each item of foo
is itself an array, and each subarray in turn calls self.all
.
Avoid nested lists and maps if possible where validation rules are used.
Defaulting
Note:
To use defaulting, your CustomResourceDefinition must use API versionapiextensions.k8s.io/v1
.Defaulting allows to specify default values in the OpenAPI v3 validation schema:
apiVersion: apiextensions.k8s.io/v1
kind: CustomResourceDefinition
metadata:
name: crontabs.stable.example.com
spec:
group: stable.example.com
versions:
- name: v1
served: true
storage: true
schema:
# openAPIV3Schema is the schema for validating custom objects.
openAPIV3Schema:
type: object
properties:
spec:
type: object
properties:
cronSpec:
type: string
pattern: '^(\d+|\*)(/\d+)?(\s+(\d+|\*)(/\d+)?){4}$'
default: "5 0 * * *"
image:
type: string
replicas:
type: integer
minimum: 1
maximum: 10
default: 1
scope: Namespaced
names:
plural: crontabs
singular: crontab
kind: CronTab
shortNames:
- ct
With this both cronSpec
and replicas
are defaulted:
apiVersion: "stable.example.com/v1"
kind: CronTab
metadata:
name: my-new-cron-object
spec:
image: my-awesome-cron-image
leads to
apiVersion: "stable.example.com/v1"
kind: CronTab
metadata:
name: my-new-cron-object
spec:
cronSpec: "5 0 * * *"
image: my-awesome-cron-image
replicas: 1
Defaulting happens on the object
- in the request to the API server using the request version defaults,
- when reading from etcd using the storage version defaults,
- after mutating admission plugins with non-empty patches using the admission webhook object version defaults.
Defaults applied when reading data from etcd are not automatically written back to etcd. An update request via the API is required to persist those defaults back into etcd.
Default values must be pruned (with the exception of defaults for metadata
fields) and must
validate against a provided schema.
Default values for metadata
fields of x-kubernetes-embedded-resources: true
nodes (or parts of
a default value covering metadata
) are not pruned during CustomResourceDefinition creation, but
through the pruning step during handling of requests.
Defaulting and Nullable
Null values for fields that either don't specify the nullable flag, or give it a
false
value, will be pruned before defaulting happens. If a default is present, it will be
applied. When nullable is true
, null values will be conserved and won't be defaulted.
For example, given the OpenAPI schema below:
type: object
properties:
spec:
type: object
properties:
foo:
type: string
nullable: false
default: "default"
bar:
type: string
nullable: true
baz:
type: string
creating an object with null values for foo
and bar
and baz
spec:
foo: null
bar: null
baz: null
leads to
spec:
foo: "default"
bar: null
with foo
pruned and defaulted because the field is non-nullable, bar
maintaining the null
value due to nullable: true
, and baz
pruned because the field is non-nullable and has no
default.
Publish Validation Schema in OpenAPI
CustomResourceDefinition OpenAPI v3 validation schemas which are structural and enable pruning are published as OpenAPI v3 and OpenAPI v2 from Kubernetes API server. It is recommended to use the OpenAPI v3 document as it is a lossless representation of the CustomResourceDefinition OpenAPI v3 validation schema while OpenAPI v2 represents a lossy conversion.
The kubectl command-line tool consumes the published schema to perform
client-side validation (kubectl create
and kubectl apply
), schema explanation (kubectl explain
)
on custom resources. The published schema can be consumed for other purposes as well, like client generation or documentation.
Compatibility with OpenAPI V2
For compatibility with OpenAPI V2, the OpenAPI v3 validation schema performs a lossy conversion
to the OpenAPI v2 schema. The schema show up in definitions
and paths
fields in the
OpenAPI v2 spec.
The following modifications are applied during the conversion to keep backwards compatibility with kubectl in previous 1.13 version. These modifications prevent kubectl from being over-strict and rejecting valid OpenAPI schemas that it doesn't understand. The conversion won't modify the validation schema defined in CRD, and therefore won't affect validation in the API server.
-
The following fields are removed as they aren't supported by OpenAPI v2.
- The fields
allOf
,anyOf
,oneOf
andnot
are removed
- The fields
-
If
nullable: true
is set, we droptype
,nullable
,items
andproperties
because OpenAPI v2 is not able to express nullable. To avoid kubectl to reject good objects, this is necessary.
Additional printer columns
The kubectl tool relies on server-side output formatting. Your cluster's API server decides which
columns are shown by the kubectl get
command. You can customize these columns for a
CustomResourceDefinition. The following example adds the Spec
, Replicas
, and Age
columns.
Save the CustomResourceDefinition to resourcedefinition.yaml
:
apiVersion: apiextensions.k8s.io/v1
kind: CustomResourceDefinition
metadata:
name: crontabs.stable.example.com
spec:
group: stable.example.com
scope: Namespaced
names:
plural: crontabs
singular: crontab
kind: CronTab
shortNames:
- ct
versions:
- name: v1
served: true
storage: true
schema:
openAPIV3Schema:
type: object
properties:
spec:
type: object
properties:
cronSpec:
type: string
image:
type: string
replicas:
type: integer
additionalPrinterColumns:
- name: Spec
type: string
description: The cron spec defining the interval a CronJob is run
jsonPath: .spec.cronSpec
- name: Replicas
type: integer
description: The number of jobs launched by the CronJob
jsonPath: .spec.replicas
- name: Age
type: date
jsonPath: .metadata.creationTimestamp
Create the CustomResourceDefinition:
kubectl apply -f resourcedefinition.yaml
Create an instance using the my-crontab.yaml
from the previous section.
Invoke the server-side printing:
kubectl get crontab my-new-cron-object
Notice the NAME
, SPEC
, REPLICAS
, and AGE
columns in the output:
NAME SPEC REPLICAS AGE
my-new-cron-object * * * * * 1 7s
Note:
TheNAME
column is implicit and does not need to be defined in the CustomResourceDefinition.Priority
Each column includes a priority
field. Currently, the priority
differentiates between columns shown in standard view or wide view (using the -o wide
flag).
- Columns with priority
0
are shown in standard view. - Columns with priority greater than
0
are shown only in wide view.
Type
A column's type
field can be any of the following (compare
OpenAPI v3 data types):
integer
– non-floating-point numbersnumber
– floating point numbersstring
– stringsboolean
–true
orfalse
date
– rendered differentially as time since this timestamp.
If the value inside a CustomResource does not match the type specified for the column, the value is omitted. Use CustomResource validation to ensure that the value types are correct.
Format
A column's format
field can be any of the following:
int32
int64
float
double
byte
date
date-time
password
The column's format
controls the style used when kubectl
prints the value.
Field selectors
Field Selectors let clients select custom resources based on the value of one or more resource fields.
All custom resources support the metadata.name
and metadata.namespace
field
selectors.
Fields declared in a CustomResourceDefinition
may also be used with field selectors when included in the spec.versions[*].selectableFields
field of the
CustomResourceDefinition.
Selectable fields for custom resources
Kubernetes v1.31 [beta]
(enabled by default: true)
For Kubernetes 1.31 the ability to define field selectors for
custom resources is available by default (enabled by default since Kubernetes v1.31);
you can disable it for your cluster by turning off the CustomResourceFieldSelectors
feature gate.
The spec.versions[*].selectableFields
field of a CustomResourceDefinition may be used to
declare which other fields in a custom resource may be used in field selectors
with the feature of CustomResourceFieldSelectors
feature gate (This feature gate is enabled by default since Kubernetes v1.31).
The following example adds the .spec.color
and .spec.size
fields as
selectable fields.
Save the CustomResourceDefinition to shirt-resource-definition.yaml
:
apiVersion: apiextensions.k8s.io/v1
kind: CustomResourceDefinition
metadata:
name: shirts.stable.example.com
spec:
group: stable.example.com
scope: Namespaced
names:
plural: shirts
singular: shirt
kind: Shirt
versions:
- name: v1
served: true
storage: true
schema:
openAPIV3Schema:
type: object
properties:
spec:
type: object
properties:
color:
type: string
size:
type: string
selectableFields:
- jsonPath: .spec.color
- jsonPath: .spec.size
additionalPrinterColumns:
- jsonPath: .spec.color
name: Color
type: string
- jsonPath: .spec.size
name: Size
type: string
Create the CustomResourceDefinition:
kubectl apply -f https://k8s.io/examples/customresourcedefinition/shirt-resource-definition.yaml
Define some Shirts by editing shirt-resources.yaml
; for example:
---
apiVersion: stable.example.com/v1
kind: Shirt
metadata:
name: example1
spec:
color: blue
size: S
---
apiVersion: stable.example.com/v1
kind: Shirt
metadata:
name: example2
spec:
color: blue
size: M
---
apiVersion: stable.example.com/v1
kind: Shirt
metadata:
name: example3
spec:
color: green
size: M
Create the custom resources:
kubectl apply -f https://k8s.io/examples/customresourcedefinition/shirt-resources.yaml
Get all the resources:
kubectl get shirts.stable.example.com
The output is:
NAME COLOR SIZE
example1 blue S
example2 blue M
example3 green M
Fetch blue shirts (retrieve Shirts with a color
of blue
):
kubectl get shirts.stable.example.com --field-selector spec.color=blue
Should output:
NAME COLOR SIZE
example1 blue S
example2 blue M
Get only resources with a color
of green
and a size
of M
:
kubectl get shirts.stable.example.com --field-selector spec.color=green,spec.size=M
Should output:
NAME COLOR SIZE
example2 blue M
Subresources
Custom resources support /status
and /scale
subresources.
The status and scale subresources can be optionally enabled by defining them in the CustomResourceDefinition.
Status subresource
When the status subresource is enabled, the /status
subresource for the custom resource is exposed.
-
The status and the spec stanzas are represented by the
.status
and.spec
JSONPaths respectively inside of a custom resource. -
PUT
requests to the/status
subresource take a custom resource object and ignore changes to anything except the status stanza. -
PUT
requests to the/status
subresource only validate the status stanza of the custom resource. -
PUT
/POST
/PATCH
requests to the custom resource ignore changes to the status stanza. -
The
.metadata.generation
value is incremented for all changes, except for changes to.metadata
or.status
. -
Only the following constructs are allowed at the root of the CRD OpenAPI validation schema:
description
example
exclusiveMaximum
exclusiveMinimum
externalDocs
format
items
maximum
maxItems
maxLength
minimum
minItems
minLength
multipleOf
pattern
properties
required
title
type
uniqueItems
Scale subresource
When the scale subresource is enabled, the /scale
subresource for the custom resource is exposed.
The autoscaling/v1.Scale
object is sent as the payload for /scale
.
To enable the scale subresource, the following fields are defined in the CustomResourceDefinition.
-
specReplicasPath
defines the JSONPath inside of a custom resource that corresponds toscale.spec.replicas
.- It is a required value.
- Only JSONPaths under
.spec
and with the dot notation are allowed. - If there is no value under the
specReplicasPath
in the custom resource, the/scale
subresource will return an error on GET.
-
statusReplicasPath
defines the JSONPath inside of a custom resource that corresponds toscale.status.replicas
.- It is a required value.
- Only JSONPaths under
.status
and with the dot notation are allowed. - If there is no value under the
statusReplicasPath
in the custom resource, the status replica value in the/scale
subresource will default to 0.
-
labelSelectorPath
defines the JSONPath inside of a custom resource that corresponds toScale.Status.Selector
.- It is an optional value.
- It must be set to work with HPA and VPA.
- Only JSONPaths under
.status
or.spec
and with the dot notation are allowed. - If there is no value under the
labelSelectorPath
in the custom resource, the status selector value in the/scale
subresource will default to the empty string. - The field pointed by this JSON path must be a string field (not a complex selector struct) which contains a serialized label selector in string form.
In the following example, both status and scale subresources are enabled.
Save the CustomResourceDefinition to resourcedefinition.yaml
:
apiVersion: apiextensions.k8s.io/v1
kind: CustomResourceDefinition
metadata:
name: crontabs.stable.example.com
spec:
group: stable.example.com
versions:
- name: v1
served: true
storage: true
schema:
openAPIV3Schema:
type: object
properties:
spec:
type: object
properties:
cronSpec:
type: string
image:
type: string
replicas:
type: integer
status:
type: object
properties:
replicas:
type: integer
labelSelector:
type: string
# subresources describes the subresources for custom resources.
subresources:
# status enables the status subresource.
status: {}
# scale enables the scale subresource.
scale:
# specReplicasPath defines the JSONPath inside of a custom resource that corresponds to Scale.Spec.Replicas.
specReplicasPath: .spec.replicas
# statusReplicasPath defines the JSONPath inside of a custom resource that corresponds to Scale.Status.Replicas.
statusReplicasPath: .status.replicas
# labelSelectorPath defines the JSONPath inside of a custom resource that corresponds to Scale.Status.Selector.
labelSelectorPath: .status.labelSelector
scope: Namespaced
names:
plural: crontabs
singular: crontab
kind: CronTab
shortNames:
- ct
And create it:
kubectl apply -f resourcedefinition.yaml
After the CustomResourceDefinition object has been created, you can create custom objects.
If you save the following YAML to my-crontab.yaml
:
apiVersion: "stable.example.com/v1"
kind: CronTab
metadata:
name: my-new-cron-object
spec:
cronSpec: "* * * * */5"
image: my-awesome-cron-image
replicas: 3
and create it:
kubectl apply -f my-crontab.yaml
Then new namespaced RESTful API endpoints are created at:
/apis/stable.example.com/v1/namespaces/*/crontabs/status
and
/apis/stable.example.com/v1/namespaces/*/crontabs/scale
A custom resource can be scaled using the kubectl scale
command.
For example, the following command sets .spec.replicas
of the
custom resource created above to 5:
kubectl scale --replicas=5 crontabs/my-new-cron-object
crontabs "my-new-cron-object" scaled
kubectl get crontabs my-new-cron-object -o jsonpath='{.spec.replicas}'
5
You can use a PodDisruptionBudget to protect custom resources that have the scale subresource enabled.
Categories
Categories is a list of grouped resources the custom resource belongs to (eg. all
).
You can use kubectl get <category-name>
to list the resources belonging to the category.
The following example adds all
in the list of categories in the CustomResourceDefinition
and illustrates how to output the custom resource using kubectl get all
.
Save the following CustomResourceDefinition to resourcedefinition.yaml
:
apiVersion: apiextensions.k8s.io/v1
kind: CustomResourceDefinition
metadata:
name: crontabs.stable.example.com
spec:
group: stable.example.com
versions:
- name: v1
served: true
storage: true
schema:
openAPIV3Schema:
type: object
properties:
spec:
type: object
properties:
cronSpec:
type: string
image:
type: string
replicas:
type: integer
scope: Namespaced
names:
plural: crontabs
singular: crontab
kind: CronTab
shortNames:
- ct
# categories is a list of grouped resources the custom resource belongs to.
categories:
- all
and create it:
kubectl apply -f resourcedefinition.yaml
After the CustomResourceDefinition object has been created, you can create custom objects.
Save the following YAML to my-crontab.yaml
:
apiVersion: "stable.example.com/v1"
kind: CronTab
metadata:
name: my-new-cron-object
spec:
cronSpec: "* * * * */5"
image: my-awesome-cron-image
and create it:
kubectl apply -f my-crontab.yaml
You can specify the category when using kubectl get
:
kubectl get all
and it will include the custom resources of kind CronTab
:
NAME AGE
crontabs/my-new-cron-object 3s
What's next
-
Read about custom resources.
-
Serve multiple versions of a CustomResourceDefinition.