Viewing docs for dbt Cloud v1.8.1
published on Friday, May 8, 2026 by Pulumi
published on Friday, May 8, 2026 by Pulumi
Viewing docs for dbt Cloud v1.8.1
published on Friday, May 8, 2026 by Pulumi
published on Friday, May 8, 2026 by Pulumi
Databricks credential resource
Example Usage
import * as pulumi from "@pulumi/pulumi";
import * as dbtcloud from "@pulumi/dbtcloud";
// Using the classic sensitive attribute (stored in state)
const myDatabricksCred = new dbtcloud.DatabricksCredential("my_databricks_cred", {
projectId: dbtProject.id,
token: "abcdefgh",
schema: "my_schema",
adapterType: "databricks",
});
const config = new pulumi.Config();
const databricksToken = config.require("databricksToken");
const myDatabricksCredWo = new dbtcloud.DatabricksCredential("my_databricks_cred_wo", {
projectId: dbtProject.id,
tokenWo: databricksToken,
tokenWoVersion: 1,
schema: "my_schema",
adapterType: "databricks",
});
import pulumi
import pulumi_dbtcloud as dbtcloud
# Using the classic sensitive attribute (stored in state)
my_databricks_cred = dbtcloud.DatabricksCredential("my_databricks_cred",
project_id=dbt_project["id"],
token="abcdefgh",
schema="my_schema",
adapter_type="databricks")
config = pulumi.Config()
databricks_token = config.require("databricksToken")
my_databricks_cred_wo = dbtcloud.DatabricksCredential("my_databricks_cred_wo",
project_id=dbt_project["id"],
token_wo=databricks_token,
token_wo_version=1,
schema="my_schema",
adapter_type="databricks")
package main
import (
"github.com/pulumi/pulumi-dbtcloud/sdk/go/dbtcloud"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi/config"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
// Using the classic sensitive attribute (stored in state)
_, err := dbtcloud.NewDatabricksCredential(ctx, "my_databricks_cred", &dbtcloud.DatabricksCredentialArgs{
ProjectId: pulumi.Any(dbtProject.Id),
Token: pulumi.String("abcdefgh"),
Schema: pulumi.String("my_schema"),
AdapterType: pulumi.String("databricks"),
})
if err != nil {
return err
}
cfg := config.New(ctx, "")
databricksToken := cfg.Require("databricksToken")
_, err = dbtcloud.NewDatabricksCredential(ctx, "my_databricks_cred_wo", &dbtcloud.DatabricksCredentialArgs{
ProjectId: pulumi.Any(dbtProject.Id),
TokenWo: pulumi.String(pulumi.String(databricksToken)),
TokenWoVersion: pulumi.Int(1),
Schema: pulumi.String("my_schema"),
AdapterType: pulumi.String("databricks"),
})
if err != nil {
return err
}
return nil
})
}
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using DbtCloud = Pulumi.DbtCloud;
return await Deployment.RunAsync(() =>
{
// Using the classic sensitive attribute (stored in state)
var myDatabricksCred = new DbtCloud.Index.DatabricksCredential("my_databricks_cred", new()
{
ProjectId = dbtProject.Id,
Token = "abcdefgh",
Schema = "my_schema",
AdapterType = "databricks",
});
var config = new Config();
var databricksToken = config.Require("databricksToken");
var myDatabricksCredWo = new DbtCloud.Index.DatabricksCredential("my_databricks_cred_wo", new()
{
ProjectId = dbtProject.Id,
TokenWo = databricksToken,
TokenWoVersion = 1,
Schema = "my_schema",
AdapterType = "databricks",
});
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.dbtcloud.DatabricksCredential;
import com.pulumi.dbtcloud.DatabricksCredentialArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
public static void main(String[] args) {
Pulumi.run(App::stack);
}
public static void stack(Context ctx) {
final var config = ctx.config();
// Using the classic sensitive attribute (stored in state)
var myDatabricksCred = new DatabricksCredential("myDatabricksCred", DatabricksCredentialArgs.builder()
.projectId(dbtProject.id())
.token("abcdefgh")
.schema("my_schema")
.adapterType("databricks")
.build());
final var databricksToken = config.require("databricksToken");
var myDatabricksCredWo = new DatabricksCredential("myDatabricksCredWo", DatabricksCredentialArgs.builder()
.projectId(dbtProject.id())
.tokenWo(databricksToken)
.tokenWoVersion(1)
.schema("my_schema")
.adapterType("databricks")
.build());
}
}
configuration:
# Using write-only attributes (not stored in state, requires Terraform >= 1.11)
# //
# // The token_wo value is never persisted in the Terraform state file.
# // Use token_wo_version to trigger an update when the token changes.
databricksToken:
type: string
resources:
# Using the classic sensitive attribute (stored in state)
myDatabricksCred:
type: dbtcloud:DatabricksCredential
name: my_databricks_cred
properties:
projectId: ${dbtProject.id}
token: abcdefgh
schema: my_schema
adapterType: databricks
myDatabricksCredWo:
type: dbtcloud:DatabricksCredential
name: my_databricks_cred_wo
properties:
projectId: ${dbtProject.id}
tokenWo: ${databricksToken}
tokenWoVersion: 1
schema: my_schema
adapterType: databricks
Create DatabricksCredential Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new DatabricksCredential(name: string, args: DatabricksCredentialArgs, opts?: CustomResourceOptions);@overload
def DatabricksCredential(resource_name: str,
args: DatabricksCredentialArgs,
opts: Optional[ResourceOptions] = None)
@overload
def DatabricksCredential(resource_name: str,
opts: Optional[ResourceOptions] = None,
project_id: Optional[int] = None,
adapter_type: Optional[str] = None,
catalog: Optional[str] = None,
schema: Optional[str] = None,
semantic_layer_credential: Optional[bool] = None,
target_name: Optional[str] = None,
token: Optional[str] = None,
token_wo: Optional[str] = None,
token_wo_version: Optional[int] = None)func NewDatabricksCredential(ctx *Context, name string, args DatabricksCredentialArgs, opts ...ResourceOption) (*DatabricksCredential, error)public DatabricksCredential(string name, DatabricksCredentialArgs args, CustomResourceOptions? opts = null)
public DatabricksCredential(String name, DatabricksCredentialArgs args)
public DatabricksCredential(String name, DatabricksCredentialArgs args, CustomResourceOptions options)
type: dbtcloud:DatabricksCredential
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 DatabricksCredentialArgs
- 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 DatabricksCredentialArgs
- 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 DatabricksCredentialArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args DatabricksCredentialArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args DatabricksCredentialArgs
- 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 databricksCredentialResource = new DbtCloud.DatabricksCredential("databricksCredentialResource", new()
{
ProjectId = 0,
Catalog = "string",
Schema = "string",
SemanticLayerCredential = false,
Token = "string",
TokenWo = "string",
TokenWoVersion = 0,
});
example, err := dbtcloud.NewDatabricksCredential(ctx, "databricksCredentialResource", &dbtcloud.DatabricksCredentialArgs{
ProjectId: pulumi.Int(0),
Catalog: pulumi.String("string"),
Schema: pulumi.String("string"),
SemanticLayerCredential: pulumi.Bool(false),
Token: pulumi.String("string"),
TokenWo: pulumi.String("string"),
TokenWoVersion: pulumi.Int(0),
})
var databricksCredentialResource = new DatabricksCredential("databricksCredentialResource", DatabricksCredentialArgs.builder()
.projectId(0)
.catalog("string")
.schema("string")
.semanticLayerCredential(false)
.token("string")
.tokenWo("string")
.tokenWoVersion(0)
.build());
databricks_credential_resource = dbtcloud.DatabricksCredential("databricksCredentialResource",
project_id=0,
catalog="string",
schema="string",
semantic_layer_credential=False,
token="string",
token_wo="string",
token_wo_version=0)
const databricksCredentialResource = new dbtcloud.DatabricksCredential("databricksCredentialResource", {
projectId: 0,
catalog: "string",
schema: "string",
semanticLayerCredential: false,
token: "string",
tokenWo: "string",
tokenWoVersion: 0,
});
type: dbtcloud:DatabricksCredential
properties:
catalog: string
projectId: 0
schema: string
semanticLayerCredential: false
token: string
tokenWo: string
tokenWoVersion: 0
DatabricksCredential 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 DatabricksCredential resource accepts the following input properties:
- Project
Id int - Project ID to create the Databricks credential in
- Adapter
Type string - The type of the adapter. 'spark' is deprecated, but still supported for backwards compatibility. For Spark, please use the sparkcredential resource. Optional only when semanticlayer_credential is set to true; otherwise, this field is required.
- Catalog string
- The catalog where to create models (only for the databricks adapter)
- Schema string
- The schema where to create models. Optional only when semanticlayercredential is set to true; otherwise, this field is required.
- Semantic
Layer boolCredential - This field indicates that the credential is used as part of the Semantic Layer configuration. It is used to create a Databricks credential for the Semantic Layer.
- Target
Name string - Target name
- Token string
- Token for Databricks user. Consider using
tokenWoinstead, which is not stored in state. - Token
Wo string - NOTE: This field is write-only and its value will not be updated in state as part of read operations.
Write-only alternative to
token. The value is not stored in state. RequirestokenWoVersionto trigger updates. - Token
Wo intVersion - Version number for
tokenWo. Increment this value to trigger an update of the token when usingtokenWo.
- Project
Id int - Project ID to create the Databricks credential in
- Adapter
Type string - The type of the adapter. 'spark' is deprecated, but still supported for backwards compatibility. For Spark, please use the sparkcredential resource. Optional only when semanticlayer_credential is set to true; otherwise, this field is required.
- Catalog string
- The catalog where to create models (only for the databricks adapter)
- Schema string
- The schema where to create models. Optional only when semanticlayercredential is set to true; otherwise, this field is required.
- Semantic
Layer boolCredential - This field indicates that the credential is used as part of the Semantic Layer configuration. It is used to create a Databricks credential for the Semantic Layer.
- Target
Name string - Target name
- Token string
- Token for Databricks user. Consider using
tokenWoinstead, which is not stored in state. - Token
Wo string - NOTE: This field is write-only and its value will not be updated in state as part of read operations.
Write-only alternative to
token. The value is not stored in state. RequirestokenWoVersionto trigger updates. - Token
Wo intVersion - Version number for
tokenWo. Increment this value to trigger an update of the token when usingtokenWo.
- project
Id Integer - Project ID to create the Databricks credential in
- adapter
Type String - The type of the adapter. 'spark' is deprecated, but still supported for backwards compatibility. For Spark, please use the sparkcredential resource. Optional only when semanticlayer_credential is set to true; otherwise, this field is required.
- catalog String
- The catalog where to create models (only for the databricks adapter)
- schema String
- The schema where to create models. Optional only when semanticlayercredential is set to true; otherwise, this field is required.
- semantic
Layer BooleanCredential - This field indicates that the credential is used as part of the Semantic Layer configuration. It is used to create a Databricks credential for the Semantic Layer.
- target
Name String - Target name
- token String
- Token for Databricks user. Consider using
tokenWoinstead, which is not stored in state. - token
Wo String - NOTE: This field is write-only and its value will not be updated in state as part of read operations.
Write-only alternative to
token. The value is not stored in state. RequirestokenWoVersionto trigger updates. - token
Wo IntegerVersion - Version number for
tokenWo. Increment this value to trigger an update of the token when usingtokenWo.
- project
Id number - Project ID to create the Databricks credential in
- adapter
Type string - The type of the adapter. 'spark' is deprecated, but still supported for backwards compatibility. For Spark, please use the sparkcredential resource. Optional only when semanticlayer_credential is set to true; otherwise, this field is required.
- catalog string
- The catalog where to create models (only for the databricks adapter)
- schema string
- The schema where to create models. Optional only when semanticlayercredential is set to true; otherwise, this field is required.
- semantic
Layer booleanCredential - This field indicates that the credential is used as part of the Semantic Layer configuration. It is used to create a Databricks credential for the Semantic Layer.
- target
Name string - Target name
- token string
- Token for Databricks user. Consider using
tokenWoinstead, which is not stored in state. - token
Wo string - NOTE: This field is write-only and its value will not be updated in state as part of read operations.
Write-only alternative to
token. The value is not stored in state. RequirestokenWoVersionto trigger updates. - token
Wo numberVersion - Version number for
tokenWo. Increment this value to trigger an update of the token when usingtokenWo.
- project_
id int - Project ID to create the Databricks credential in
- adapter_
type str - The type of the adapter. 'spark' is deprecated, but still supported for backwards compatibility. For Spark, please use the sparkcredential resource. Optional only when semanticlayer_credential is set to true; otherwise, this field is required.
- catalog str
- The catalog where to create models (only for the databricks adapter)
- schema str
- The schema where to create models. Optional only when semanticlayercredential is set to true; otherwise, this field is required.
- semantic_
layer_ boolcredential - This field indicates that the credential is used as part of the Semantic Layer configuration. It is used to create a Databricks credential for the Semantic Layer.
- target_
name str - Target name
- token str
- Token for Databricks user. Consider using
tokenWoinstead, which is not stored in state. - token_
wo str - NOTE: This field is write-only and its value will not be updated in state as part of read operations.
Write-only alternative to
token. The value is not stored in state. RequirestokenWoVersionto trigger updates. - token_
wo_ intversion - Version number for
tokenWo. Increment this value to trigger an update of the token when usingtokenWo.
- project
Id Number - Project ID to create the Databricks credential in
- adapter
Type String - The type of the adapter. 'spark' is deprecated, but still supported for backwards compatibility. For Spark, please use the sparkcredential resource. Optional only when semanticlayer_credential is set to true; otherwise, this field is required.
- catalog String
- The catalog where to create models (only for the databricks adapter)
- schema String
- The schema where to create models. Optional only when semanticlayercredential is set to true; otherwise, this field is required.
- semantic
Layer BooleanCredential - This field indicates that the credential is used as part of the Semantic Layer configuration. It is used to create a Databricks credential for the Semantic Layer.
- target
Name String - Target name
- token String
- Token for Databricks user. Consider using
tokenWoinstead, which is not stored in state. - token
Wo String - NOTE: This field is write-only and its value will not be updated in state as part of read operations.
Write-only alternative to
token. The value is not stored in state. RequirestokenWoVersionto trigger updates. - token
Wo NumberVersion - Version number for
tokenWo. Increment this value to trigger an update of the token when usingtokenWo.
Outputs
All input properties are implicitly available as output properties. Additionally, the DatabricksCredential resource produces the following output properties:
- Credential
Id int - The system Databricks credential ID
- Id string
- The provider-assigned unique ID for this managed resource.
- Credential
Id int - The system Databricks credential ID
- Id string
- The provider-assigned unique ID for this managed resource.
- credential
Id Integer - The system Databricks credential ID
- id String
- The provider-assigned unique ID for this managed resource.
- credential
Id number - The system Databricks credential ID
- id string
- The provider-assigned unique ID for this managed resource.
- credential_
id int - The system Databricks credential ID
- id str
- The provider-assigned unique ID for this managed resource.
- credential
Id Number - The system Databricks credential ID
- id String
- The provider-assigned unique ID for this managed resource.
Look up Existing DatabricksCredential Resource
Get an existing DatabricksCredential 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?: DatabricksCredentialState, opts?: CustomResourceOptions): DatabricksCredential@staticmethod
def get(resource_name: str,
id: str,
opts: Optional[ResourceOptions] = None,
adapter_type: Optional[str] = None,
catalog: Optional[str] = None,
credential_id: Optional[int] = None,
project_id: Optional[int] = None,
schema: Optional[str] = None,
semantic_layer_credential: Optional[bool] = None,
target_name: Optional[str] = None,
token: Optional[str] = None,
token_wo: Optional[str] = None,
token_wo_version: Optional[int] = None) -> DatabricksCredentialfunc GetDatabricksCredential(ctx *Context, name string, id IDInput, state *DatabricksCredentialState, opts ...ResourceOption) (*DatabricksCredential, error)public static DatabricksCredential Get(string name, Input<string> id, DatabricksCredentialState? state, CustomResourceOptions? opts = null)public static DatabricksCredential get(String name, Output<String> id, DatabricksCredentialState state, CustomResourceOptions options)resources: _: type: dbtcloud:DatabricksCredential 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.
- Adapter
Type string - The type of the adapter. 'spark' is deprecated, but still supported for backwards compatibility. For Spark, please use the sparkcredential resource. Optional only when semanticlayer_credential is set to true; otherwise, this field is required.
- Catalog string
- The catalog where to create models (only for the databricks adapter)
- Credential
Id int - The system Databricks credential ID
- Project
Id int - Project ID to create the Databricks credential in
- Schema string
- The schema where to create models. Optional only when semanticlayercredential is set to true; otherwise, this field is required.
- Semantic
Layer boolCredential - This field indicates that the credential is used as part of the Semantic Layer configuration. It is used to create a Databricks credential for the Semantic Layer.
- Target
Name string - Target name
- Token string
- Token for Databricks user. Consider using
tokenWoinstead, which is not stored in state. - Token
Wo string - NOTE: This field is write-only and its value will not be updated in state as part of read operations.
Write-only alternative to
token. The value is not stored in state. RequirestokenWoVersionto trigger updates. - Token
Wo intVersion - Version number for
tokenWo. Increment this value to trigger an update of the token when usingtokenWo.
- Adapter
Type string - The type of the adapter. 'spark' is deprecated, but still supported for backwards compatibility. For Spark, please use the sparkcredential resource. Optional only when semanticlayer_credential is set to true; otherwise, this field is required.
- Catalog string
- The catalog where to create models (only for the databricks adapter)
- Credential
Id int - The system Databricks credential ID
- Project
Id int - Project ID to create the Databricks credential in
- Schema string
- The schema where to create models. Optional only when semanticlayercredential is set to true; otherwise, this field is required.
- Semantic
Layer boolCredential - This field indicates that the credential is used as part of the Semantic Layer configuration. It is used to create a Databricks credential for the Semantic Layer.
- Target
Name string - Target name
- Token string
- Token for Databricks user. Consider using
tokenWoinstead, which is not stored in state. - Token
Wo string - NOTE: This field is write-only and its value will not be updated in state as part of read operations.
Write-only alternative to
token. The value is not stored in state. RequirestokenWoVersionto trigger updates. - Token
Wo intVersion - Version number for
tokenWo. Increment this value to trigger an update of the token when usingtokenWo.
- adapter
Type String - The type of the adapter. 'spark' is deprecated, but still supported for backwards compatibility. For Spark, please use the sparkcredential resource. Optional only when semanticlayer_credential is set to true; otherwise, this field is required.
- catalog String
- The catalog where to create models (only for the databricks adapter)
- credential
Id Integer - The system Databricks credential ID
- project
Id Integer - Project ID to create the Databricks credential in
- schema String
- The schema where to create models. Optional only when semanticlayercredential is set to true; otherwise, this field is required.
- semantic
Layer BooleanCredential - This field indicates that the credential is used as part of the Semantic Layer configuration. It is used to create a Databricks credential for the Semantic Layer.
- target
Name String - Target name
- token String
- Token for Databricks user. Consider using
tokenWoinstead, which is not stored in state. - token
Wo String - NOTE: This field is write-only and its value will not be updated in state as part of read operations.
Write-only alternative to
token. The value is not stored in state. RequirestokenWoVersionto trigger updates. - token
Wo IntegerVersion - Version number for
tokenWo. Increment this value to trigger an update of the token when usingtokenWo.
- adapter
Type string - The type of the adapter. 'spark' is deprecated, but still supported for backwards compatibility. For Spark, please use the sparkcredential resource. Optional only when semanticlayer_credential is set to true; otherwise, this field is required.
- catalog string
- The catalog where to create models (only for the databricks adapter)
- credential
Id number - The system Databricks credential ID
- project
Id number - Project ID to create the Databricks credential in
- schema string
- The schema where to create models. Optional only when semanticlayercredential is set to true; otherwise, this field is required.
- semantic
Layer booleanCredential - This field indicates that the credential is used as part of the Semantic Layer configuration. It is used to create a Databricks credential for the Semantic Layer.
- target
Name string - Target name
- token string
- Token for Databricks user. Consider using
tokenWoinstead, which is not stored in state. - token
Wo string - NOTE: This field is write-only and its value will not be updated in state as part of read operations.
Write-only alternative to
token. The value is not stored in state. RequirestokenWoVersionto trigger updates. - token
Wo numberVersion - Version number for
tokenWo. Increment this value to trigger an update of the token when usingtokenWo.
- adapter_
type str - The type of the adapter. 'spark' is deprecated, but still supported for backwards compatibility. For Spark, please use the sparkcredential resource. Optional only when semanticlayer_credential is set to true; otherwise, this field is required.
- catalog str
- The catalog where to create models (only for the databricks adapter)
- credential_
id int - The system Databricks credential ID
- project_
id int - Project ID to create the Databricks credential in
- schema str
- The schema where to create models. Optional only when semanticlayercredential is set to true; otherwise, this field is required.
- semantic_
layer_ boolcredential - This field indicates that the credential is used as part of the Semantic Layer configuration. It is used to create a Databricks credential for the Semantic Layer.
- target_
name str - Target name
- token str
- Token for Databricks user. Consider using
tokenWoinstead, which is not stored in state. - token_
wo str - NOTE: This field is write-only and its value will not be updated in state as part of read operations.
Write-only alternative to
token. The value is not stored in state. RequirestokenWoVersionto trigger updates. - token_
wo_ intversion - Version number for
tokenWo. Increment this value to trigger an update of the token when usingtokenWo.
- adapter
Type String - The type of the adapter. 'spark' is deprecated, but still supported for backwards compatibility. For Spark, please use the sparkcredential resource. Optional only when semanticlayer_credential is set to true; otherwise, this field is required.
- catalog String
- The catalog where to create models (only for the databricks adapter)
- credential
Id Number - The system Databricks credential ID
- project
Id Number - Project ID to create the Databricks credential in
- schema String
- The schema where to create models. Optional only when semanticlayercredential is set to true; otherwise, this field is required.
- semantic
Layer BooleanCredential - This field indicates that the credential is used as part of the Semantic Layer configuration. It is used to create a Databricks credential for the Semantic Layer.
- target
Name String - Target name
- token String
- Token for Databricks user. Consider using
tokenWoinstead, which is not stored in state. - token
Wo String - NOTE: This field is write-only and its value will not be updated in state as part of read operations.
Write-only alternative to
token. The value is not stored in state. RequirestokenWoVersionto trigger updates. - token
Wo NumberVersion - Version number for
tokenWo. Increment this value to trigger an update of the token when usingtokenWo.
Import
using import blocks (requires Terraform >= 1.5) import { to = dbtcloud_databricks_credential.my_databricks_credential id = “project_id:credential_id” }
import { to = dbtcloud_databricks_credential.my_databricks_credential id = “12345:6789” }
using the older import command
$ pulumi import dbtcloud:index/databricksCredential:DatabricksCredential my_databricks_credential "project_id:credential_id"
$ pulumi import dbtcloud:index/databricksCredential:DatabricksCredential my_databricks_credential 12345:6789
To learn more about importing existing cloud resources, see Importing resources.
Package Details
- Repository
- dbtcloud pulumi/pulumi-dbtcloud
- License
- Apache-2.0
- Notes
- This Pulumi package is based on the
dbtcloudTerraform Provider.
Viewing docs for dbt Cloud v1.8.1
published on Friday, May 8, 2026 by Pulumi
published on Friday, May 8, 2026 by Pulumi
