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Databricks v1.74.0 published on Thursday, Aug 14, 2025 by Pulumi

databricks.MaterializedFeaturesFeatureTag

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Databricks v1.74.0 published on Thursday, Aug 14, 2025 by Pulumi

    Import

    As of Pulumi v1.5, resources can be imported through configuration.

    hcl

    import {

    id = key

    to = databricks_materialized_features_feature_tag.this

    }

    If you are using an older version of Pulumi, import the resource using the pulumi import command as follows:

    $ pulumi import databricks:index/materializedFeaturesFeatureTag:MaterializedFeaturesFeatureTag databricks_materialized_features_feature_tag key
    

    Create MaterializedFeaturesFeatureTag Resource

    Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

    Constructor syntax

    new MaterializedFeaturesFeatureTag(name: string, args: MaterializedFeaturesFeatureTagArgs, opts?: CustomResourceOptions);
    @overload
    def MaterializedFeaturesFeatureTag(resource_name: str,
                                       args: MaterializedFeaturesFeatureTagArgs,
                                       opts: Optional[ResourceOptions] = None)
    
    @overload
    def MaterializedFeaturesFeatureTag(resource_name: str,
                                       opts: Optional[ResourceOptions] = None,
                                       key: Optional[str] = None,
                                       value: Optional[str] = None)
    func NewMaterializedFeaturesFeatureTag(ctx *Context, name string, args MaterializedFeaturesFeatureTagArgs, opts ...ResourceOption) (*MaterializedFeaturesFeatureTag, error)
    public MaterializedFeaturesFeatureTag(string name, MaterializedFeaturesFeatureTagArgs args, CustomResourceOptions? opts = null)
    public MaterializedFeaturesFeatureTag(String name, MaterializedFeaturesFeatureTagArgs args)
    public MaterializedFeaturesFeatureTag(String name, MaterializedFeaturesFeatureTagArgs args, CustomResourceOptions options)
    
    type: databricks:MaterializedFeaturesFeatureTag
    properties: # The arguments to resource properties.
    options: # Bag of options to control resource's behavior.
    
    

    Parameters

    name string
    The unique name of the resource.
    args MaterializedFeaturesFeatureTagArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    resource_name str
    The unique name of the resource.
    args MaterializedFeaturesFeatureTagArgs
    The arguments to resource properties.
    opts ResourceOptions
    Bag of options to control resource's behavior.
    ctx Context
    Context object for the current deployment.
    name string
    The unique name of the resource.
    args MaterializedFeaturesFeatureTagArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args MaterializedFeaturesFeatureTagArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args MaterializedFeaturesFeatureTagArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    Constructor example

    The following reference example uses placeholder values for all input properties.

    var materializedFeaturesFeatureTagResource = new Databricks.MaterializedFeaturesFeatureTag("materializedFeaturesFeatureTagResource", new()
    {
        Key = "string",
        Value = "string",
    });
    
    example, err := databricks.NewMaterializedFeaturesFeatureTag(ctx, "materializedFeaturesFeatureTagResource", &databricks.MaterializedFeaturesFeatureTagArgs{
    	Key:   pulumi.String("string"),
    	Value: pulumi.String("string"),
    })
    
    var materializedFeaturesFeatureTagResource = new MaterializedFeaturesFeatureTag("materializedFeaturesFeatureTagResource", MaterializedFeaturesFeatureTagArgs.builder()
        .key("string")
        .value("string")
        .build());
    
    materialized_features_feature_tag_resource = databricks.MaterializedFeaturesFeatureTag("materializedFeaturesFeatureTagResource",
        key="string",
        value="string")
    
    const materializedFeaturesFeatureTagResource = new databricks.MaterializedFeaturesFeatureTag("materializedFeaturesFeatureTagResource", {
        key: "string",
        value: "string",
    });
    
    type: databricks:MaterializedFeaturesFeatureTag
    properties:
        key: string
        value: string
    

    MaterializedFeaturesFeatureTag Resource Properties

    To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

    Inputs

    In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

    The MaterializedFeaturesFeatureTag resource accepts the following input properties:

    Key string
    Value string
    Key string
    Value string
    key String
    value String
    key string
    value string
    key str
    value str
    key String
    value String

    Outputs

    All input properties are implicitly available as output properties. Additionally, the MaterializedFeaturesFeatureTag resource produces the following output properties:

    Id string
    The provider-assigned unique ID for this managed resource.
    Id string
    The provider-assigned unique ID for this managed resource.
    id String
    The provider-assigned unique ID for this managed resource.
    id string
    The provider-assigned unique ID for this managed resource.
    id str
    The provider-assigned unique ID for this managed resource.
    id String
    The provider-assigned unique ID for this managed resource.

    Look up Existing MaterializedFeaturesFeatureTag Resource

    Get an existing MaterializedFeaturesFeatureTag resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.

    public static get(name: string, id: Input<ID>, state?: MaterializedFeaturesFeatureTagState, opts?: CustomResourceOptions): MaterializedFeaturesFeatureTag
    @staticmethod
    def get(resource_name: str,
            id: str,
            opts: Optional[ResourceOptions] = None,
            key: Optional[str] = None,
            value: Optional[str] = None) -> MaterializedFeaturesFeatureTag
    func GetMaterializedFeaturesFeatureTag(ctx *Context, name string, id IDInput, state *MaterializedFeaturesFeatureTagState, opts ...ResourceOption) (*MaterializedFeaturesFeatureTag, error)
    public static MaterializedFeaturesFeatureTag Get(string name, Input<string> id, MaterializedFeaturesFeatureTagState? state, CustomResourceOptions? opts = null)
    public static MaterializedFeaturesFeatureTag get(String name, Output<String> id, MaterializedFeaturesFeatureTagState state, CustomResourceOptions options)
    resources:  _:    type: databricks:MaterializedFeaturesFeatureTag    get:      id: ${id}
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    resource_name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    The following state arguments are supported:
    Key string
    Value string
    Key string
    Value string
    key String
    value String
    key string
    value string
    key str
    value str
    key String
    value String

    Package Details

    Repository
    databricks pulumi/pulumi-databricks
    License
    Apache-2.0
    Notes
    This Pulumi package is based on the databricks Terraform Provider.
    databricks logo
    Databricks v1.74.0 published on Thursday, Aug 14, 2025 by Pulumi