Operator Configuration
This guide walks through the steps required to deploy Ververica Platform Operator on Kuberbetes.
In summary the steps are:
- Deploy the Custom Resource Definition (CRD)
- Configure the Operator
- Start Ververica Platform
- Configure the CR Deployment
- Configure the Deployment in the Platform UI
Deploy the Custom Resource Definition (CRD)
The Ververica Platform Operator CRD is the custom resource definition
for the Operator. It is contained in a Helm chart that ships with the
platform, ververica/ververica-platform-crd
.
Deploy the CRD using Helm install
:
helm install my-vvp-crd ververica/ververica-platform-crd --version 1.0.0
where:
my-vvp-crd
A user defined name for the Operator, follow Helm naming conventions.ververica/ververica-platform-crd
The Helm chart containing the Ververica Platform CRD.--version
The CRD version to install, see the table below:
Ververica Platform Version | CRD Helm Chart Version |
---|---|
2.13.x | 1.0.0 |
Configure the Operator
After installing the CRD, configure the Operator. The Operator is bundled in Ververica Platform itself.
To configure and enable the Operator, add the following to your main
Ververica Platform installation values YAML file, by default
values.yaml
:
vvp:
k8sOperator:
enabled: true
identity: "vvp-1"
watchedNamespaces:
- <the k8s-namespace for the CR>
- <the k8s-namespace for the CR>
where:
enabled
Settrue
to enable,false
to disable.identity
A user defined name for the platform instance that includes the Operator, used to distinguish different instances.watchedNamespaces
List of the Kubernetes Namespace(s) that the Operator will watch, which must include the Namespace into which you deploy the CR, see below.
Only one Operator instance can watch a specific Kubernetes
namespace with watchedNamespaces
. If more try to watch there
will be a conflict and the application won't start. By using the
k8sOperator.identity
property you can distinguish the Operaror
instances associated with specific Ververica Platform instances and
avoid potential conflicts.
The Operator creates a ConfigMapLock
ververica-operator-leader-election
for the specified identity
e.g. vvp-1
in each namespace listed under the watchedNamespaces
property.
The lock lasts forever. To change the Operator identity
e.g. to "vvp-2"
, delete the configMap and reinstall the
Operator.
Start Ververica Platform
Now start Ververica Platform with the helm install
command, see
the Installation Using Helm documentation.
If you are deploying Ververica Platform with a brand new database, we recommend you create a Deployment first, to initialize the default Namespace and a Deployment Target.
Once your Deployment is successfully created and transitioned to the Running state, continue with these steps to configure and deploy the Operator.
Configure the CR Deployment
Assuming the configuration for this CR is in the file test-cr.yaml
:
kubectl -n <namespace> apply -f test-cr.yaml
Be sure that <namespace>
is in the watchedNamespaces
list you
configured for the Operator. In the simple case, set it to be the same
as the deploymentTargetName
in the CR (line 13 below) where you
are deploying your Flink jobs, see More About
Namespaces.
An example configuration that applies in patch mode could look like this:
Patch mode refers to the PATCH API
of Ververica Platform REST
API, see spec
below.
apiVersion: ververica.platform/v1
kind: VvpDeployment
metadata:
name: test-cr
spec:
syncingMode: PATCH
deployment:
userMetadata:
name: test-cr
namespace: default
spec:
state: CANCELLED
deploymentTargetName: test-target
maxJobCreationAttempts: 99
template:
spec:
artifact:
jarUri: >-
file:///flink/examples/streaming/TopSpeedWindowing.jar
kind: JAR
initFields:
userMetadata:
displayName: abc
spec:
maxSavepointCreationAttempts: 999
The property definitions are as follows:
spec
-
spec.syncingMode
Specify which Deployment API to call. Possible values arePATCH
andPUT
:-
PATCH
Apply the configuration as a change against the Deployment. The values in the CR will overwrite the values in the referenced Deployment. The fields present in the referenced Deployment but not present in the CR will be unchanged. -
PUT
Replaces the entire referenced Deployment with the data in the CR. The fields present in the referenced Deployment but not present in the CR will be removed. Note that when deploying a CR that refers to an existing Deployment in Ververica Platform, the values will first be patched to the existing Deployment, and the patched result will be synced back to the CR. This way, users don't need to write all the fields of a Deployment in a CR.
-
-
spec.deployment
Specify the Deployment properties. The properties are similar to the fields displayed by the Configure button in the UI but not identical, which enables a CR to control properties that would otherwise be controlled by the Platform. For example, in the Platform:
spec:
deployment: xxx
metadata: xxx
and in the CR:
spec:
deployment: xxx
metadata: xxx
-
spec.deployment.userMetadata
Specify the metadata for the resource we are deploying. Use valid keys only; invalid keys will be erased after reconciliation.-
Valid keys:
name
,namespace
,displayName
,labels
,annotations
. -
Note that system metadata properties are moved to
status.deploymentSystemMetadata
in the CR, seestatus
below. -
Some annotations used by the Platform are also invalid in a CR:
com.dataartisans.appmanager.controller.deployment.spec.version
com.dataartisans.appmanager.controller.deployment.transitioning
com.dataartisans.appmanager.controller.deployment.transitioning.since
-
The Operator uses
spec.deployment.userMetadata.namespace + spec.deployment.userMetadata.name
to identify the Ververica Platform Deployment instance.
-
-
spec.deployment.spec
Specify the Deployment properties, has the same meaning as thespec
property in a Ververica Platform Deployment, and expects the same keys.-
For example, the test Deployment above defines the following key/value pairs:
state: CANCELLED
deploymentTargetName: test-target
maxJobCreationAttempts: 99
-
-
spec.initFields
Supported only in patch mode i.e. when thespec.syncingMode
value isPATCH
.- The property is applied to
spec.deployment
during initialization of the CR. You can use it to set initial values for some keys and allow further changes. - For example, the test Deployment above sets initial values for
displayName
andmaxSavepointCreationAttempts
.
- The property is applied to
status
The system metadata properties:
-
status.deploymentStatus
is the same asdeployment.status
in Ververica Platform. -
status.deploymentSystemMetadata
The Deployment metadata fields are controlled by Ververica Platform and cannot be set by users:
status:
deploymentSystemMetadata: xxx
annotations:
com.dataartisans.appmanager.controller.deployment.spec.version: "4"
com.dataartisans.appmanager.controller.deployment.transitioning: "true"
com.dataartisans.appmanager.controller.deployment.transitioning.since: "1689327990185"
createdAt: "2023-07-14T09:40:41.583995Z"
id: cf2047ed-cb55-4e41-bb53-9ef91959214e
labels: {}
modifiedAt: "2023-07-14T09:46:30.185884Z"
resourceVersion: 20
-
status.customResourceStatus
The status of this CR:-
customResourceState
SYNCING
The CR spec is syncing to the referenced Deployment in Ververica Platform.IDLING
The syncing is off.
-
deploymentId
The observed Deployment ID of the referenced Deployment. -
observedSpecState
The observedspec.state
of the referenced Deployment in Ververica Platform. -
statusState
The observedstatus.state
of the referenced Deployment in Ververica Platform. -
vvpNamespace
Thevvp-namespace
of the referenced Deployment in Ververica Platform, the same as the value ofspec.userMetadata.namespace
in the CR.
-
JSON schema for YAML configuration validation
While configuring, you can also take advantage of a JSON schema for validating your YAML configuration. This schema enforces proper structure, required fields, data types, and value constraints, guaranteeing that all user-provided YAML configurations conform to our standards before processing.
Click to see the JSON schema
{
"type": "object",
"required": ["metadata", "spec", "kind"],
"properties": {
"kind": {
"type": "string",
"enum": ["VvpDeployment"]
},
"metadata": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"namespace": {
"type": "string"
}
},
"spec": {
"type": "object",
"required": ["deployment"],
"properties": {
"syncingMode": {
"type": "string",
"enum": ["PUT", "PATCH"]
},
"deployment": {
"type": "object",
"required": ["userMetadata", "spec"],
"properties": {
"apiVersion": {
"type": "string"
},
"kind": {
"type": "string"
},
"userMetadata": {
"type": "object",
"required": ["displayName"],
"properties": {
"annotations": {
"type": "object",
"additionalProperties": {
"type": "string"
}
},
"createdAt": {
"type": "string",
"format": "date-time"
},
"displayName": {
"type": "string"
},
"id": {
"type": "string",
"format": "uuid"
},
"labels": {
"type": "object",
"additionalProperties": {
"type": "string"
}
},
"modifiedAt": {
"type": "string",
"format": "date-time"
},
"name": {
"type": "string"
},
"namespace": {
"type": "string"
},
"resourceVersion": {
"type": "integer",
"format": "int32",
"minimum": -2147483648,
"maximum": 2147483647
}
}
},
"spec": {
"type": "object",
"anyOf": [
{
"required": ["deploymentTargetName"]
},
{
"required": ["sessionClusterName"]
}
],
"required": ["template"],
"properties": {
"deploymentTargetId": {
"type": "string",
"format": "uuid"
},
"deploymentTargetName": {
"type": "string"
},
"jobFailureExpirationTime": {
"type": "string"
},
"maxJobCreationAttempts": {
"type": "integer",
"format": "int32",
"minimum": -2147483648,
"maximum": 2147483647
},
"maxSavepointCreationAttempts": {
"type": "integer",
"format": "int32",
"minimum": -2147483648,
"maximum": 2147483647
},
"restoreStrategy": {
"type": "object",
"properties": {
"allowNonRestoredState": {
"type": "boolean"
},
"kind": {
"type": "string"
}
}
},
"sessionClusterName": {
"type": "string"
},
"state": {
"type": "string",
"enum": ["RUNNING", "SUSPENDED", "CANCELLED"]
},
"template": {
"type": "object",
"required": ["spec"],
"properties": {
"metadata": {
"type": "object",
"properties": {
"annotations": {
"type": "object",
"additionalProperties": {
"type": "string"
}
}
}
},
"spec": {
"type": "object",
"required": ["artifact"],
"properties": {
"artifact": {
"type": "object",
"anyOf": [
{
"properties": {
"jarUri": {
"type": "string"
},
"kind": {
"type": "string",
"enum": ["JAR"]
}
},
"required": ["kind", "jarUri"]
},
{
"properties": {
"pythonArtifactUri": {
"type": "string"
},
"kind": {
"type": "string",
"enum": ["PYTHON"]
}
},
"required": ["kind", "pythonArtifactUri"]
},
{
"properties": {
"sqlScript": {
"type": "string"
},
"kind": {
"type": "string",
"enum": ["sqlscript"]
}
},
"required": ["kind", "sqlScript"]
}
],
"properties": {
"additionalDependencies": {
"type": "array",
"items": {
"type": "string"
}
},
"additionalPythonArchives": {
"type": "array",
"items": {
"type": "string"
}
},
"additionalPythonLibraries": {
"type": "array",
"items": {
"type": "string"
}
},
"artifactKind": {
"type": "string",
"enum": ["PYTHON", "SQLSCRIPT", "JAR", "UNKNOWN"]
},
"entryClass": {
"type": "string"
},
"entryModule": {
"type": "string"
},
"flinkImageRegistry": {
"type": "string"
},
"flinkImageRepository": {
"type": "string"
},
"flinkImageTag": {
"type": "string"
},
"flinkVersion": {
"type": "string"
},
"kind": {
"type": "string"
},
"mainArgs": {
"type": "string"
},
"uri": {
"type": "string"
}
}
},
"flinkConfiguration": {
"type": "object",
"additionalProperties": {
"type": "string"
}
},
"kubernetes": {
"type": "object",
"properties": {
"jobManagerPodTemplate": {
"type": "object",
"properties": {
"metadata": {
"type": "object"
},
"spec": {
"type": "object"
}
}
},
"labels": {
"type": "object",
"additionalProperties": {
"type": "string"
}
},
"pods": {
"type": "object",
"properties": {
"affinity": {
"type": "object"
},
"annotations": {
"type": "object",
"additionalProperties": {
"type": "string"
}
},
"envVars": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"value": {
"type": "string"
},
"valueFrom": {
"type": "object"
}
}
}
},
"imagePullSecrets": {
"type": "array",
"items": {
"required": ["name"],
"type": "object",
"properties": {
"name": {
"type": "string"
}
}
}
},
"labels": {
"type": "object",
"additionalProperties": {
"type": "string"
}
},
"nodeSelector": {
"type": "object",
"additionalProperties": {
"type": "string"
}
},
"securityContext": {
"type": "object"
},
"serviceAccountName": {
"type": "string"
},
"tolerations": {
"type": "array",
"items": {
"type": "object"
}
},
"volumeMounts": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"volume": {
"type": "object"
},
"volumeMount": {
"type": "object"
}
}
}
}
}
},
"taskManagerPodTemplate": {
"type": "object",
"properties": {
"metadata": {
"type": "object"
},
"spec": {
"type": "object"
}
}
}
}
},
"latestCheckpointFetchInterval": {
"type": "integer",
"format": "int32",
"minimum": -2147483648,
"maximum": 2147483647
},
"logging": {
"type": "object",
"properties": {
"log4j2ConfigurationTemplate": {
"type": "string"
},
"log4jLoggers": {
"type": "object",
"additionalProperties": {
"type": "string"
}
},
"loggingProfile": {
"type": "string"
}
}
},
"numberOfTaskManagers": {
"type": "integer",
"format": "int32",
"minimum": -2147483648,
"maximum": 2147483647
},
"parallelism": {
"type": "integer",
"format": "int32",
"minimum": -2147483648,
"maximum": 2147483647
},
"resources": {
"type": "object",
"additionalProperties": {
"required": ["cpu", "memory"],
"type": "object",
"properties": {
"cpu": {
"minimum": 0.1,
"type": "number",
"format": "double",
"maximum": 1.7976931348623157e308
},
"memory": {
"type": "string"
}
}
}
}
}
}
}
},
"upgradeStrategy": {
"type": "object",
"properties": {
"kind": {
"type": "string"
}
}
}
}
},
"status": {
"type": "object",
"properties": {
"running": {
"type": "object",
"properties": {
"conditions": {
"type": "array",
"items": {
"type": "object",
"properties": {
"lastTransitionTime": {
"type": "string",
"format": "date-time"
},
"lastUpdateTime": {
"type": "string",
"format": "date-time"
},
"message": {
"type": "string"
},
"reason": {
"type": "string"
},
"status": {
"type": "string",
"enum": ["True", "False", "Unknown"]
},
"type": {
"type": "string"
}
}
}
},
"jobId": {
"type": "string",
"format": "uuid"
},
"transitionTime": {
"type": "string",
"format": "date-time"
}
}
},
"state": {
"type": "string",
"enum": [
"RUNNING",
"SUSPENDED",
"CANCELLED",
"TRANSITIONING",
"FAILED",
"FINISHED"
]
}
}
}
}
}
}
}
},
"$schema": "http://json-schema.org/draft-04/schema#"
}
More about Namespaces
Configuring the Namespaces used by the Operator can seem complex, especially because the configuration values need to be set correctly across the Operator configuration, CR manifest, and in the eventual Deployment configurations in the platform UI.
The simple rule to follow is that the Kubernetes Namespace into which
you install the CR YAML file, which has a Kubernetes CustomResource
type of VvpDeployment
, must be in the watchedNamespaces
list
configured in the vvp.k8sOperator.watchedNamespaces
configuration
in your values.yaml
file.
Operator Authentication and Authorization
The Kubernetes Operator integrates with Ververica Platform's authentication/authorization and RBAC features.
If authentication is already enabled, users will need to update VvpDeployment
definition custom resources. The resources now require authentication to be reconciled by the Ververica Platform K8s operator.
For custom resources to be reconciled by the Ververica Platform Kubernetes Operator, the custom resource will now require authentication. Authentication is done by using an API Token stored within a Kubernetes Secret resource. In order to link a custom resource with an API Token, the following steps need to be taken.
Deploy a Kubernetes Secret
Within the same namespace as the custom resource will be deployed, deploy a Kubernetes Secret. It must be one of the namespaces defined in vvp.k8soperator.watchNamespaces
in your values.yaml
helm configuration file. The Kubernetes Secret must contain an entry with the key of "apikey"
and value of base64
encoded API Token.
To complete the Kubernetes Secret, you need to either create or obtain an API Token from the Ververica Platform and save it to the file with the name apikey
. Navigate to Obtaining an API Token for more detailed steps.
Lastly, execute the following command with example-secret-name
replaced by any valid Kubernetes Secret name:
kubectl create secret generic example-secret-name --namespace your-k8s-namespace --from-file=apikey
After creating your Kubernetes Secret with the linked API Token, you need to add apikeySecretName
to your VvpDeployment
Custom Resource. The value for apikeySecretName
will be the name of your previously created Kubernetes Secret from above.
For example:
apiVersion: ververica.platform/v1
kind: VvpDeployment
metadata:
name: your-vvp-custom-resource-name
namespace: your-k8s-namespace
annotations:
apikeySecretName: example-secret-name
This API Token will now be used to secure communication between the Ververica Platform Kubernetes Operator and the Ververica Platform application. If the custom resource is not authenticated, then it will not be reconciled by the Ververica Platform Kubernetes Operator.
Obtaining an API Token
To use an API Token, a user can create one in the Administration and then API Tokens menus.
A user can then give the token a name and assign to a specific environment role.
You need an API Token with editor
or owner
role to use it with Ververica Platform K8s-Operator.
Once the token is created and listed in the API Tokens table, it can be copied and used in the apikey
annotation of VvpDeployment
custom resource. For example:
apiVersion: ververica.platform/v1
kind: VvpDeployment
metadata:
name: vvp-custom-resource-name
namespace: vvp-custom-resource-namespace
annotations:
apikey: 77ede5cc-a39c-410e-a89f-550b7a9ac22c