» azurerm_data_factory_pipeline

Manage a Pipeline inside a Azure Data Factory.

» Example Usage

resource "azurerm_resource_group" "example" {
  name     = "example"
  location = "northeurope"
}

resource "azurerm_data_factory" "example" {
  name                = "example"
  location            = "${azurerm_resource_group.example.location}"
  resource_group_name = "${azurerm_resource_group.example.name}"
}

resource "azurerm_data_factory_pipeline" "example" {
  name                = "example"
  resource_group_name = "${azurerm_resource_group.example.name}"
  data_factory_name   = "${azurerm_data_factory.example.name}"
}

» Argument Reference

The following arguments are supported:

• name - (Required) Specifies the name of the Data Factory Pipeline. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.

• resource_group_name - (Required) The name of the resource group in which to create the Data Factory Pipeline. Changing this forces a new resource

• data_factory_name - (Required) The Data Factory name in which to associate the Pipeline with. Changing this forces a new resource.

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

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

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

• variables - (Optional) A map of variables to associate with the Data Factory Pipeline.

» Attributes Reference

The following attributes are exported:

• id - The ID of the Data Factory Pipeline.

» Import

Data Factory Pipeline can be imported using the resource id, e.g.

terraform import azurerm_data_factory_pipeline.example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/example/providers/Microsoft.DataFactory/factories/example/pipelines/example