Skip to content

azurermDataFactoryDatasetAzureBlob

Manages an Azure Blob Dataset inside an Azure Data Factory.

Example Usage

/*Provider bindings are generated by running cdktf get.
See https://cdk.tf/provider-generation for more details.*/
import * as azurerm from "./.gen/providers/azurerm";
/*The following providers are missing schema information and might need manual adjustments to synthesize correctly: azurerm.
For a more precise conversion please use the --provider flag in convert.*/
const azurermResourceGroupExample = new azurerm.resourceGroup.ResourceGroup(
  this,
  "example",
  {
    location: "West Europe",
    name: "example-resources",
  }
);
const dataAzurermStorageAccountExample =
  new azurerm.dataAzurermStorageAccount.DataAzurermStorageAccount(
    this,
    "example_1",
    {
      name: "storageaccountname",
      resource_group_name: azurermResourceGroupExample.name,
    }
  );
/*This allows the Terraform resource name to match the original name. You can remove the call if you don't need them to match.*/
dataAzurermStorageAccountExample.overrideLogicalId("example");
const azurermDataFactoryExample = new azurerm.dataFactory.DataFactory(
  this,
  "example_2",
  {
    location: azurermResourceGroupExample.location,
    name: "example",
    resource_group_name: azurermResourceGroupExample.name,
  }
);
/*This allows the Terraform resource name to match the original name. You can remove the call if you don't need them to match.*/
azurermDataFactoryExample.overrideLogicalId("example");
const azurermDataFactoryLinkedServiceAzureBlobStorageExample =
  new azurerm.dataFactoryLinkedServiceAzureBlobStorage.DataFactoryLinkedServiceAzureBlobStorage(
    this,
    "example_3",
    {
      connection_string:
        dataAzurermStorageAccountExample.primaryConnectionString,
      data_factory_id: azurermDataFactoryExample.id,
      name: "example",
    }
  );
/*This allows the Terraform resource name to match the original name. You can remove the call if you don't need them to match.*/
azurermDataFactoryLinkedServiceAzureBlobStorageExample.overrideLogicalId(
  "example"
);
const azurermDataFactoryDatasetAzureBlobExample =
  new azurerm.dataFactoryDatasetAzureBlob.DataFactoryDatasetAzureBlob(
    this,
    "example_4",
    {
      data_factory_id: azurermDataFactoryExample.id,
      filename: "bar.png",
      linked_service_name:
        azurermDataFactoryLinkedServiceAzureBlobStorageExample.name,
      name: "example",
      path: "foo",
    }
  );
/*This allows the Terraform resource name to match the original name. You can remove the call if you don't need them to match.*/
azurermDataFactoryDatasetAzureBlobExample.overrideLogicalId("example");

Argument Reference

The following supported arguments are common across all Azure Data Factory Datasets:

  • name - (Required) 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.

  • dataFactoryId - (Required) The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.

  • linkedServiceName - (Required) The Data Factory Linked Service name in which to associate the Dataset with.

  • folder - (Optional) The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.

  • schemaColumn - (Optional) A schemaColumn block as defined below.

  • description - (Optional) The description for the Data Factory Dataset.

  • annotations - (Optional) List of tags that can be used for describing the Data Factory Dataset.

  • parameters - (Optional) A map of parameters to associate with the Data Factory Dataset.

  • additionalProperties - (Optional) A map of additional properties to associate with the Data Factory Dataset.

The following supported arguments are specific to Azure Blob Dataset:

  • path - (Optional) The path of the Azure Blob.

  • filename - (Optional) The filename of the Azure Blob.

  • dynamicPathEnabled - (Optional) Is the path using dynamic expression, function or system variables? Defaults to false.

  • dynamicFilenameEnabled - (Optional) Is the filename using dynamic expression, function or system variables? Defaults to false.


A schemaColumn block supports the following:

  • name - (Required) The name of the column.

  • type - (Optional) 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.

  • description - (Optional) The description of the column.

Attributes Reference

The following attributes are exported:

  • id - The ID of the Data Factory Dataset.

Timeouts

The timeouts block allows you to specify timeouts for certain actions:

  • create - (Defaults to 30 minutes) Used when creating the Data Factory Dataset.
  • update - (Defaults to 30 minutes) Used when updating the Data Factory Dataset.
  • read - (Defaults to 5 minutes) Used when retrieving the Data Factory Dataset.
  • delete - (Defaults to 30 minutes) Used when deleting the Data Factory Dataset.

Import

Data Factory Datasets can be imported using the resourceId, e.g.

terraform import azurerm_data_factory_dataset_azure_blob.example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/example/providers/Microsoft.DataFactory/factories/example/datasets/example