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How-To: Enable preview features
Overview
Preview features in Dapr are considered experimental when they are first released. These preview features require explicit opt-in in order to be used. The opt-in is specified in Dapr’s configuration.
Preview features are enabled on a per application basis by setting configuration when running an application instance.
Preview features
The current list of preview features can be found here.
Configuration properties
The features
section under the Configuration
spec contains the following properties:
Property | Type | Description |
---|---|---|
name | string | The name of the preview feature that is enabled/disabled |
enabled | bool | Boolean specifying if the feature is enabled or disabled |
Enabling a preview feature
Preview features are specified in the configuration. Here is an example of a full configuration that contains multiple features:
apiVersion: dapr.io/v1alpha1
kind: Configuration
metadata:
name: featureconfig
spec:
tracing:
samplingRate: "1"
zipkin:
endpointAddress: "http://zipkin.default.svc.cluster.local:9411/api/v2/spans"
features:
- name: Feature1
enabled: true
- name: Feature2
enabled: true
Standalone
To enable preview features when running Dapr locally, either update the default configuration or specify a separate config file using dapr run
.
The default Dapr config is created when you run dapr init
, and is located at:
- Windows:
%USERPROFILE%\.dapr\config.yaml
- Linux/macOS:
~/.dapr/config.yaml
Alternately, you can update preview features on all apps run locally by specifying the --config
flag in dapr run
and pointing to a separate Dapr config file:
dapr run --app-id myApp --config ./previewConfig.yaml ./app
Kubernetes
In Kubernetes mode, the configuration must be provided via a configuration component. Using the same configuration as above, apply it via kubectl
:
kubectl apply -f previewConfig.yaml
This configuration component can then be referenced in any application by modifying the application’s configuration to reference that specific configuration component via the dapr.io/config
element. For example:
apiVersion: apps/v1
kind: Deployment
metadata:
name: nodeapp
labels:
app: node
spec:
replicas: 1
selector:
matchLabels:
app: node
template:
metadata:
labels:
app: node
annotations:
dapr.io/enabled: "true"
dapr.io/app-id: "nodeapp"
dapr.io/app-port: "3000"
dapr.io/config: "featureconfig"
spec:
containers:
- name: node
image: dapriosamples/hello-k8s-node:latest
ports:
- containerPort: 3000
imagePullPolicy: Always
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