We recommend using Azure Native.
published on Monday, Mar 9, 2026 by Pulumi
We recommend using Azure Native.
published on Monday, Mar 9, 2026 by Pulumi
Manages an Azure Blob Dataset inside an Azure Data Factory.
Example Usage
using Pulumi;
using Azure = Pulumi.Azure;
class MyStack : Stack
{
public MyStack()
{
var exampleResourceGroup = new Azure.Core.ResourceGroup("exampleResourceGroup", new Azure.Core.ResourceGroupArgs
{
Location = "West Europe",
});
var exampleAccount = Azure.Storage.GetAccount.Invoke(new Azure.Storage.GetAccountInvokeArgs
{
Name = "storageaccountname",
ResourceGroupName = exampleResourceGroup.Name,
});
var exampleFactory = new Azure.DataFactory.Factory("exampleFactory", new Azure.DataFactory.FactoryArgs
{
Location = exampleResourceGroup.Location,
ResourceGroupName = exampleResourceGroup.Name,
});
var exampleLinkedServiceAzureBlobStorage = new Azure.DataFactory.LinkedServiceAzureBlobStorage("exampleLinkedServiceAzureBlobStorage", new Azure.DataFactory.LinkedServiceAzureBlobStorageArgs
{
ResourceGroupName = exampleResourceGroup.Name,
DataFactoryId = exampleFactory.Id,
ConnectionString = exampleAccount.Apply(exampleAccount => exampleAccount.PrimaryConnectionString),
});
var exampleDatasetAzureBlob = new Azure.DataFactory.DatasetAzureBlob("exampleDatasetAzureBlob", new Azure.DataFactory.DatasetAzureBlobArgs
{
ResourceGroupName = exampleResourceGroup.Name,
DataFactoryId = exampleFactory.Id,
LinkedServiceName = exampleLinkedServiceAzureBlobStorage.Name,
Path = "foo",
Filename = "bar.png",
});
}
}
package main
import (
"github.com/pulumi/pulumi-azure/sdk/v4/go/azure/core"
"github.com/pulumi/pulumi-azure/sdk/v4/go/azure/datafactory"
"github.com/pulumi/pulumi-azure/sdk/v4/go/azure/storage"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
exampleResourceGroup, err := core.NewResourceGroup(ctx, "exampleResourceGroup", &core.ResourceGroupArgs{
Location: pulumi.String("West Europe"),
})
if err != nil {
return err
}
exampleAccount := storage.LookupAccountOutput(ctx, storage.GetAccountOutputArgs{
Name: pulumi.String("storageaccountname"),
ResourceGroupName: exampleResourceGroup.Name,
}, nil)
exampleFactory, err := datafactory.NewFactory(ctx, "exampleFactory", &datafactory.FactoryArgs{
Location: exampleResourceGroup.Location,
ResourceGroupName: exampleResourceGroup.Name,
})
if err != nil {
return err
}
exampleLinkedServiceAzureBlobStorage, err := datafactory.NewLinkedServiceAzureBlobStorage(ctx, "exampleLinkedServiceAzureBlobStorage", &datafactory.LinkedServiceAzureBlobStorageArgs{
ResourceGroupName: exampleResourceGroup.Name,
DataFactoryId: exampleFactory.ID(),
ConnectionString: exampleAccount.ApplyT(func(exampleAccount storage.GetAccountResult) (string, error) {
return exampleAccount.PrimaryConnectionString, nil
}).(pulumi.StringOutput),
})
if err != nil {
return err
}
_, err = datafactory.NewDatasetAzureBlob(ctx, "exampleDatasetAzureBlob", &datafactory.DatasetAzureBlobArgs{
ResourceGroupName: exampleResourceGroup.Name,
DataFactoryId: exampleFactory.ID(),
LinkedServiceName: exampleLinkedServiceAzureBlobStorage.Name,
Path: pulumi.String("foo"),
Filename: pulumi.String("bar.png"),
})
if err != nil {
return err
}
return nil
})
}
Example coming soon!
import * as pulumi from "@pulumi/pulumi";
import * as azure from "@pulumi/azure";
const exampleResourceGroup = new azure.core.ResourceGroup("exampleResourceGroup", {location: "West Europe"});
const exampleAccount = azure.storage.getAccountOutput({
name: "storageaccountname",
resourceGroupName: exampleResourceGroup.name,
});
const exampleFactory = new azure.datafactory.Factory("exampleFactory", {
location: exampleResourceGroup.location,
resourceGroupName: exampleResourceGroup.name,
});
const exampleLinkedServiceAzureBlobStorage = new azure.datafactory.LinkedServiceAzureBlobStorage("exampleLinkedServiceAzureBlobStorage", {
resourceGroupName: exampleResourceGroup.name,
dataFactoryId: exampleFactory.id,
connectionString: exampleAccount.apply(exampleAccount => exampleAccount.primaryConnectionString),
});
const exampleDatasetAzureBlob = new azure.datafactory.DatasetAzureBlob("exampleDatasetAzureBlob", {
resourceGroupName: exampleResourceGroup.name,
dataFactoryId: exampleFactory.id,
linkedServiceName: exampleLinkedServiceAzureBlobStorage.name,
path: "foo",
filename: "bar.png",
});
import pulumi
import pulumi_azure as azure
example_resource_group = azure.core.ResourceGroup("exampleResourceGroup", location="West Europe")
example_account = azure.storage.get_account_output(name="storageaccountname",
resource_group_name=example_resource_group.name)
example_factory = azure.datafactory.Factory("exampleFactory",
location=example_resource_group.location,
resource_group_name=example_resource_group.name)
example_linked_service_azure_blob_storage = azure.datafactory.LinkedServiceAzureBlobStorage("exampleLinkedServiceAzureBlobStorage",
resource_group_name=example_resource_group.name,
data_factory_id=example_factory.id,
connection_string=example_account.primary_connection_string)
example_dataset_azure_blob = azure.datafactory.DatasetAzureBlob("exampleDatasetAzureBlob",
resource_group_name=example_resource_group.name,
data_factory_id=example_factory.id,
linked_service_name=example_linked_service_azure_blob_storage.name,
path="foo",
filename="bar.png")
Example coming soon!
Create DatasetAzureBlob Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new DatasetAzureBlob(name: string, args: DatasetAzureBlobArgs, opts?: CustomResourceOptions);@overload
def DatasetAzureBlob(resource_name: str,
args: DatasetAzureBlobArgs,
opts: Optional[ResourceOptions] = None)
@overload
def DatasetAzureBlob(resource_name: str,
opts: Optional[ResourceOptions] = None,
linked_service_name: Optional[str] = None,
resource_group_name: Optional[str] = None,
data_factory_name: Optional[str] = None,
additional_properties: Optional[Mapping[str, str]] = None,
description: Optional[str] = None,
dynamic_filename_enabled: Optional[bool] = None,
dynamic_path_enabled: Optional[bool] = None,
filename: Optional[str] = None,
folder: Optional[str] = None,
data_factory_id: Optional[str] = None,
name: Optional[str] = None,
parameters: Optional[Mapping[str, str]] = None,
path: Optional[str] = None,
annotations: Optional[Sequence[str]] = None,
schema_columns: Optional[Sequence[DatasetAzureBlobSchemaColumnArgs]] = None)func NewDatasetAzureBlob(ctx *Context, name string, args DatasetAzureBlobArgs, opts ...ResourceOption) (*DatasetAzureBlob, error)public DatasetAzureBlob(string name, DatasetAzureBlobArgs args, CustomResourceOptions? opts = null)
public DatasetAzureBlob(String name, DatasetAzureBlobArgs args)
public DatasetAzureBlob(String name, DatasetAzureBlobArgs args, CustomResourceOptions options)
type: azure:datafactory:DatasetAzureBlob
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 DatasetAzureBlobArgs
- 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 DatasetAzureBlobArgs
- 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 DatasetAzureBlobArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args DatasetAzureBlobArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args DatasetAzureBlobArgs
- 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 datasetAzureBlobResource = new Azure.DataFactory.DatasetAzureBlob("datasetAzureBlobResource", new()
{
LinkedServiceName = "string",
ResourceGroupName = "string",
AdditionalProperties =
{
{ "string", "string" },
},
Description = "string",
DynamicFilenameEnabled = false,
DynamicPathEnabled = false,
Filename = "string",
Folder = "string",
DataFactoryId = "string",
Name = "string",
Parameters =
{
{ "string", "string" },
},
Path = "string",
Annotations = new[]
{
"string",
},
SchemaColumns = new[]
{
new Azure.DataFactory.Inputs.DatasetAzureBlobSchemaColumnArgs
{
Name = "string",
Description = "string",
Type = "string",
},
},
});
example, err := datafactory.NewDatasetAzureBlob(ctx, "datasetAzureBlobResource", &datafactory.DatasetAzureBlobArgs{
LinkedServiceName: pulumi.String("string"),
ResourceGroupName: pulumi.String("string"),
AdditionalProperties: pulumi.StringMap{
"string": pulumi.String("string"),
},
Description: pulumi.String("string"),
DynamicFilenameEnabled: pulumi.Bool(false),
DynamicPathEnabled: pulumi.Bool(false),
Filename: pulumi.String("string"),
Folder: pulumi.String("string"),
DataFactoryId: pulumi.String("string"),
Name: pulumi.String("string"),
Parameters: pulumi.StringMap{
"string": pulumi.String("string"),
},
Path: pulumi.String("string"),
Annotations: pulumi.StringArray{
pulumi.String("string"),
},
SchemaColumns: datafactory.DatasetAzureBlobSchemaColumnArray{
&datafactory.DatasetAzureBlobSchemaColumnArgs{
Name: pulumi.String("string"),
Description: pulumi.String("string"),
Type: pulumi.String("string"),
},
},
})
var datasetAzureBlobResource = new DatasetAzureBlob("datasetAzureBlobResource", DatasetAzureBlobArgs.builder()
.linkedServiceName("string")
.resourceGroupName("string")
.additionalProperties(Map.of("string", "string"))
.description("string")
.dynamicFilenameEnabled(false)
.dynamicPathEnabled(false)
.filename("string")
.folder("string")
.dataFactoryId("string")
.name("string")
.parameters(Map.of("string", "string"))
.path("string")
.annotations("string")
.schemaColumns(DatasetAzureBlobSchemaColumnArgs.builder()
.name("string")
.description("string")
.type("string")
.build())
.build());
dataset_azure_blob_resource = azure.datafactory.DatasetAzureBlob("datasetAzureBlobResource",
linked_service_name="string",
resource_group_name="string",
additional_properties={
"string": "string",
},
description="string",
dynamic_filename_enabled=False,
dynamic_path_enabled=False,
filename="string",
folder="string",
data_factory_id="string",
name="string",
parameters={
"string": "string",
},
path="string",
annotations=["string"],
schema_columns=[{
"name": "string",
"description": "string",
"type": "string",
}])
const datasetAzureBlobResource = new azure.datafactory.DatasetAzureBlob("datasetAzureBlobResource", {
linkedServiceName: "string",
resourceGroupName: "string",
additionalProperties: {
string: "string",
},
description: "string",
dynamicFilenameEnabled: false,
dynamicPathEnabled: false,
filename: "string",
folder: "string",
dataFactoryId: "string",
name: "string",
parameters: {
string: "string",
},
path: "string",
annotations: ["string"],
schemaColumns: [{
name: "string",
description: "string",
type: "string",
}],
});
type: azure:datafactory:DatasetAzureBlob
properties:
additionalProperties:
string: string
annotations:
- string
dataFactoryId: string
description: string
dynamicFilenameEnabled: false
dynamicPathEnabled: false
filename: string
folder: string
linkedServiceName: string
name: string
parameters:
string: string
path: string
resourceGroupName: string
schemaColumns:
- description: string
name: string
type: string
DatasetAzureBlob 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 DatasetAzureBlob resource accepts the following input properties:
- Linked
Service stringName - The Data Factory Linked Service name in which to associate the Dataset with.
- Resource
Group stringName - The name of the resource group in which to create the Data Factory Dataset. Changing this forces a new resource
- Additional
Properties Dictionary<string, string> - A map of additional properties to associate with the Data Factory Dataset.
- Annotations List<string>
- List of tags that can be used for describing the Data Factory Dataset.
- Data
Factory stringId - The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
- Data
Factory stringName - The Data Factory name in which to associate the Linked Service with. Changing this forces a new resource.
- Description string
- The description for the Data Factory Dataset.
- Dynamic
Filename boolEnabled - Is the
filenameusing dynamic expression, function or system variables? Defaults tofalse. - Dynamic
Path boolEnabled - Is the
pathusing dynamic expression, function or system variables? Defaults tofalse. - Filename string
- The filename of the Azure Blob.
- Folder string
- The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
- Name string
- Specifies the name of the Data Factory Dataset. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
- Parameters Dictionary<string, string>
- A map of parameters to associate with the Data Factory Dataset.
- Path string
- The path of the Azure Blob.
- Schema
Columns List<DatasetAzure Blob Schema Column> - A
schema_columnblock as defined below.
- Linked
Service stringName - The Data Factory Linked Service name in which to associate the Dataset with.
- Resource
Group stringName - The name of the resource group in which to create the Data Factory Dataset. Changing this forces a new resource
- Additional
Properties map[string]string - A map of additional properties to associate with the Data Factory Dataset.
- Annotations []string
- List of tags that can be used for describing the Data Factory Dataset.
- Data
Factory stringId - The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
- Data
Factory stringName - The Data Factory name in which to associate the Linked Service with. Changing this forces a new resource.
- Description string
- The description for the Data Factory Dataset.
- Dynamic
Filename boolEnabled - Is the
filenameusing dynamic expression, function or system variables? Defaults tofalse. - Dynamic
Path boolEnabled - Is the
pathusing dynamic expression, function or system variables? Defaults tofalse. - Filename string
- The filename of the Azure Blob.
- Folder string
- The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
- Name string
- Specifies the name of the Data Factory Dataset. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
- Parameters map[string]string
- A map of parameters to associate with the Data Factory Dataset.
- Path string
- The path of the Azure Blob.
- Schema
Columns []DatasetAzure Blob Schema Column Args - A
schema_columnblock as defined below.
- linked
Service StringName - The Data Factory Linked Service name in which to associate the Dataset with.
- resource
Group StringName - The name of the resource group in which to create the Data Factory Dataset. Changing this forces a new resource
- additional
Properties Map<String,String> - A map of additional properties to associate with the Data Factory Dataset.
- annotations List<String>
- List of tags that can be used for describing the Data Factory Dataset.
- data
Factory StringId - The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
- data
Factory StringName - The Data Factory name in which to associate the Linked Service with. Changing this forces a new resource.
- description String
- The description for the Data Factory Dataset.
- dynamic
Filename BooleanEnabled - Is the
filenameusing dynamic expression, function or system variables? Defaults tofalse. - dynamic
Path BooleanEnabled - Is the
pathusing dynamic expression, function or system variables? Defaults tofalse. - filename String
- The filename of the Azure Blob.
- folder String
- The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
- name String
- Specifies the name of the Data Factory Dataset. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
- parameters Map<String,String>
- A map of parameters to associate with the Data Factory Dataset.
- path String
- The path of the Azure Blob.
- schema
Columns List<DatasetAzure Blob Schema Column> - A
schema_columnblock as defined below.
- linked
Service stringName - The Data Factory Linked Service name in which to associate the Dataset with.
- resource
Group stringName - The name of the resource group in which to create the Data Factory Dataset. Changing this forces a new resource
- additional
Properties {[key: string]: string} - A map of additional properties to associate with the Data Factory Dataset.
- annotations string[]
- List of tags that can be used for describing the Data Factory Dataset.
- data
Factory stringId - The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
- data
Factory stringName - The Data Factory name in which to associate the Linked Service with. Changing this forces a new resource.
- description string
- The description for the Data Factory Dataset.
- dynamic
Filename booleanEnabled - Is the
filenameusing dynamic expression, function or system variables? Defaults tofalse. - dynamic
Path booleanEnabled - Is the
pathusing dynamic expression, function or system variables? Defaults tofalse. - filename string
- The filename of the Azure Blob.
- folder string
- The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
- name string
- Specifies the name of the Data Factory Dataset. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
- parameters {[key: string]: string}
- A map of parameters to associate with the Data Factory Dataset.
- path string
- The path of the Azure Blob.
- schema
Columns DatasetAzure Blob Schema Column[] - A
schema_columnblock as defined below.
- linked_
service_ strname - The Data Factory Linked Service name in which to associate the Dataset with.
- resource_
group_ strname - The name of the resource group in which to create the Data Factory Dataset. Changing this forces a new resource
- additional_
properties Mapping[str, str] - A map of additional properties to associate with the Data Factory Dataset.
- annotations Sequence[str]
- List of tags that can be used for describing the Data Factory Dataset.
- data_
factory_ strid - The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
- data_
factory_ strname - The Data Factory name in which to associate the Linked Service with. Changing this forces a new resource.
- description str
- The description for the Data Factory Dataset.
- dynamic_
filename_ boolenabled - Is the
filenameusing dynamic expression, function or system variables? Defaults tofalse. - dynamic_
path_ boolenabled - Is the
pathusing dynamic expression, function or system variables? Defaults tofalse. - filename str
- The filename of the Azure Blob.
- folder str
- The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
- name str
- Specifies the name of the Data Factory Dataset. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
- parameters Mapping[str, str]
- A map of parameters to associate with the Data Factory Dataset.
- path str
- The path of the Azure Blob.
- schema_
columns Sequence[DatasetAzure Blob Schema Column Args] - A
schema_columnblock as defined below.
- linked
Service StringName - The Data Factory Linked Service name in which to associate the Dataset with.
- resource
Group StringName - The name of the resource group in which to create the Data Factory Dataset. Changing this forces a new resource
- additional
Properties Map<String> - A map of additional properties to associate with the Data Factory Dataset.
- annotations List<String>
- List of tags that can be used for describing the Data Factory Dataset.
- data
Factory StringId - The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
- data
Factory StringName - The Data Factory name in which to associate the Linked Service with. Changing this forces a new resource.
- description String
- The description for the Data Factory Dataset.
- dynamic
Filename BooleanEnabled - Is the
filenameusing dynamic expression, function or system variables? Defaults tofalse. - dynamic
Path BooleanEnabled - Is the
pathusing dynamic expression, function or system variables? Defaults tofalse. - filename String
- The filename of the Azure Blob.
- folder String
- The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
- name String
- Specifies the name of the Data Factory Dataset. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
- parameters Map<String>
- A map of parameters to associate with the Data Factory Dataset.
- path String
- The path of the Azure Blob.
- schema
Columns List<Property Map> - A
schema_columnblock as defined below.
Outputs
All input properties are implicitly available as output properties. Additionally, the DatasetAzureBlob 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 DatasetAzureBlob Resource
Get an existing DatasetAzureBlob 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?: DatasetAzureBlobState, opts?: CustomResourceOptions): DatasetAzureBlob@staticmethod
def get(resource_name: str,
id: str,
opts: Optional[ResourceOptions] = None,
additional_properties: Optional[Mapping[str, str]] = None,
annotations: Optional[Sequence[str]] = None,
data_factory_id: Optional[str] = None,
data_factory_name: Optional[str] = None,
description: Optional[str] = None,
dynamic_filename_enabled: Optional[bool] = None,
dynamic_path_enabled: Optional[bool] = None,
filename: Optional[str] = None,
folder: Optional[str] = None,
linked_service_name: Optional[str] = None,
name: Optional[str] = None,
parameters: Optional[Mapping[str, str]] = None,
path: Optional[str] = None,
resource_group_name: Optional[str] = None,
schema_columns: Optional[Sequence[DatasetAzureBlobSchemaColumnArgs]] = None) -> DatasetAzureBlobfunc GetDatasetAzureBlob(ctx *Context, name string, id IDInput, state *DatasetAzureBlobState, opts ...ResourceOption) (*DatasetAzureBlob, error)public static DatasetAzureBlob Get(string name, Input<string> id, DatasetAzureBlobState? state, CustomResourceOptions? opts = null)public static DatasetAzureBlob get(String name, Output<String> id, DatasetAzureBlobState state, CustomResourceOptions options)resources: _: type: azure:datafactory:DatasetAzureBlob 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.
- Additional
Properties Dictionary<string, string> - A map of additional properties to associate with the Data Factory Dataset.
- Annotations List<string>
- List of tags that can be used for describing the Data Factory Dataset.
- Data
Factory stringId - The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
- Data
Factory stringName - The Data Factory name in which to associate the Linked Service with. Changing this forces a new resource.
- Description string
- The description for the Data Factory Dataset.
- Dynamic
Filename boolEnabled - Is the
filenameusing dynamic expression, function or system variables? Defaults tofalse. - Dynamic
Path boolEnabled - Is the
pathusing dynamic expression, function or system variables? Defaults tofalse. - Filename string
- The filename of the Azure Blob.
- Folder string
- The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
- Linked
Service stringName - The Data Factory Linked Service name in which to associate the Dataset with.
- Name string
- Specifies the name of the Data Factory Dataset. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
- Parameters Dictionary<string, string>
- A map of parameters to associate with the Data Factory Dataset.
- Path string
- The path of the Azure Blob.
- Resource
Group stringName - The name of the resource group in which to create the Data Factory Dataset. Changing this forces a new resource
- Schema
Columns List<DatasetAzure Blob Schema Column> - A
schema_columnblock as defined below.
- Additional
Properties map[string]string - A map of additional properties to associate with the Data Factory Dataset.
- Annotations []string
- List of tags that can be used for describing the Data Factory Dataset.
- Data
Factory stringId - The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
- Data
Factory stringName - The Data Factory name in which to associate the Linked Service with. Changing this forces a new resource.
- Description string
- The description for the Data Factory Dataset.
- Dynamic
Filename boolEnabled - Is the
filenameusing dynamic expression, function or system variables? Defaults tofalse. - Dynamic
Path boolEnabled - Is the
pathusing dynamic expression, function or system variables? Defaults tofalse. - Filename string
- The filename of the Azure Blob.
- Folder string
- The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
- Linked
Service stringName - The Data Factory Linked Service name in which to associate the Dataset with.
- Name string
- Specifies the name of the Data Factory Dataset. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
- Parameters map[string]string
- A map of parameters to associate with the Data Factory Dataset.
- Path string
- The path of the Azure Blob.
- Resource
Group stringName - The name of the resource group in which to create the Data Factory Dataset. Changing this forces a new resource
- Schema
Columns []DatasetAzure Blob Schema Column Args - A
schema_columnblock as defined below.
- additional
Properties Map<String,String> - A map of additional properties to associate with the Data Factory Dataset.
- annotations List<String>
- List of tags that can be used for describing the Data Factory Dataset.
- data
Factory StringId - The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
- data
Factory StringName - The Data Factory name in which to associate the Linked Service with. Changing this forces a new resource.
- description String
- The description for the Data Factory Dataset.
- dynamic
Filename BooleanEnabled - Is the
filenameusing dynamic expression, function or system variables? Defaults tofalse. - dynamic
Path BooleanEnabled - Is the
pathusing dynamic expression, function or system variables? Defaults tofalse. - filename String
- The filename of the Azure Blob.
- folder String
- The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
- linked
Service StringName - The Data Factory Linked Service name in which to associate the Dataset with.
- name String
- Specifies the name of the Data Factory Dataset. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
- parameters Map<String,String>
- A map of parameters to associate with the Data Factory Dataset.
- path String
- The path of the Azure Blob.
- resource
Group StringName - The name of the resource group in which to create the Data Factory Dataset. Changing this forces a new resource
- schema
Columns List<DatasetAzure Blob Schema Column> - A
schema_columnblock as defined below.
- additional
Properties {[key: string]: string} - A map of additional properties to associate with the Data Factory Dataset.
- annotations string[]
- List of tags that can be used for describing the Data Factory Dataset.
- data
Factory stringId - The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
- data
Factory stringName - The Data Factory name in which to associate the Linked Service with. Changing this forces a new resource.
- description string
- The description for the Data Factory Dataset.
- dynamic
Filename booleanEnabled - Is the
filenameusing dynamic expression, function or system variables? Defaults tofalse. - dynamic
Path booleanEnabled - Is the
pathusing dynamic expression, function or system variables? Defaults tofalse. - filename string
- The filename of the Azure Blob.
- folder string
- The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
- linked
Service stringName - The Data Factory Linked Service name in which to associate the Dataset with.
- name string
- Specifies the name of the Data Factory Dataset. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
- parameters {[key: string]: string}
- A map of parameters to associate with the Data Factory Dataset.
- path string
- The path of the Azure Blob.
- resource
Group stringName - The name of the resource group in which to create the Data Factory Dataset. Changing this forces a new resource
- schema
Columns DatasetAzure Blob Schema Column[] - A
schema_columnblock as defined below.
- additional_
properties Mapping[str, str] - A map of additional properties to associate with the Data Factory Dataset.
- annotations Sequence[str]
- List of tags that can be used for describing the Data Factory Dataset.
- data_
factory_ strid - The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
- data_
factory_ strname - The Data Factory name in which to associate the Linked Service with. Changing this forces a new resource.
- description str
- The description for the Data Factory Dataset.
- dynamic_
filename_ boolenabled - Is the
filenameusing dynamic expression, function or system variables? Defaults tofalse. - dynamic_
path_ boolenabled - Is the
pathusing dynamic expression, function or system variables? Defaults tofalse. - filename str
- The filename of the Azure Blob.
- folder str
- The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
- linked_
service_ strname - The Data Factory Linked Service name in which to associate the Dataset with.
- name str
- Specifies the name of the Data Factory Dataset. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
- parameters Mapping[str, str]
- A map of parameters to associate with the Data Factory Dataset.
- path str
- The path of the Azure Blob.
- resource_
group_ strname - The name of the resource group in which to create the Data Factory Dataset. Changing this forces a new resource
- schema_
columns Sequence[DatasetAzure Blob Schema Column Args] - A
schema_columnblock as defined below.
- additional
Properties Map<String> - A map of additional properties to associate with the Data Factory Dataset.
- annotations List<String>
- List of tags that can be used for describing the Data Factory Dataset.
- data
Factory StringId - The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
- data
Factory StringName - The Data Factory name in which to associate the Linked Service with. Changing this forces a new resource.
- description String
- The description for the Data Factory Dataset.
- dynamic
Filename BooleanEnabled - Is the
filenameusing dynamic expression, function or system variables? Defaults tofalse. - dynamic
Path BooleanEnabled - Is the
pathusing dynamic expression, function or system variables? Defaults tofalse. - filename String
- The filename of the Azure Blob.
- folder String
- The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
- linked
Service StringName - The Data Factory Linked Service name in which to associate the Dataset with.
- name String
- Specifies the name of the Data Factory Dataset. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
- parameters Map<String>
- A map of parameters to associate with the Data Factory Dataset.
- path String
- The path of the Azure Blob.
- resource
Group StringName - The name of the resource group in which to create the Data Factory Dataset. Changing this forces a new resource
- schema
Columns List<Property Map> - A
schema_columnblock as defined below.
Supporting Types
DatasetAzureBlobSchemaColumn, DatasetAzureBlobSchemaColumnArgs
- Name string
- The name of the column.
- Description string
- The description of the column.
- Type string
- Type of the column. Valid values are
Byte,Byte[],Boolean,Date,DateTime,DateTimeOffset,Decimal,Double,Guid,Int16,Int32,Int64,Single,String,TimeSpan. Please note these values are case sensitive.
- Name string
- The name of the column.
- Description string
- The description of the column.
- Type string
- Type of the column. Valid values are
Byte,Byte[],Boolean,Date,DateTime,DateTimeOffset,Decimal,Double,Guid,Int16,Int32,Int64,Single,String,TimeSpan. Please note these values are case sensitive.
- name String
- The name of the column.
- description String
- The description of the column.
- type String
- Type of the column. Valid values are
Byte,Byte[],Boolean,Date,DateTime,DateTimeOffset,Decimal,Double,Guid,Int16,Int32,Int64,Single,String,TimeSpan. Please note these values are case sensitive.
- name string
- The name of the column.
- description string
- The description of the column.
- type string
- Type of the column. Valid values are
Byte,Byte[],Boolean,Date,DateTime,DateTimeOffset,Decimal,Double,Guid,Int16,Int32,Int64,Single,String,TimeSpan. Please note these values are case sensitive.
- name str
- The name of the column.
- description str
- The description of the column.
- type str
- Type of the column. Valid values are
Byte,Byte[],Boolean,Date,DateTime,DateTimeOffset,Decimal,Double,Guid,Int16,Int32,Int64,Single,String,TimeSpan. Please note these values are case sensitive.
- name String
- The name of the column.
- description String
- The description of the column.
- type String
- Type of the column. Valid values are
Byte,Byte[],Boolean,Date,DateTime,DateTimeOffset,Decimal,Double,Guid,Int16,Int32,Int64,Single,String,TimeSpan. Please note these values are case sensitive.
Import
Data Factory Datasets can be imported using the resource id, e.g.
$ pulumi import azure:datafactory/datasetAzureBlob:DatasetAzureBlob example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/example/providers/Microsoft.DataFactory/factories/example/datasets/example
To learn more about importing existing cloud resources, see Importing resources.
Package Details
- Repository
- Azure Classic pulumi/pulumi-azure
- License
- Apache-2.0
- Notes
- This Pulumi package is based on the
azurermTerraform Provider.
We recommend using Azure Native.
published on Monday, Mar 9, 2026 by Pulumi
