Azure Data Factory Trigger Tumbling Window

azurerm_data_factory_trigger_tumbling_window (Terraform)

The Trigger Tumbling Window in Data Factory can be configured in Terraform with the resource name azurerm_data_factory_trigger_tumbling_window. The following sections describe how to use the resource and its parameters.

Example Usage from GitHub

An example could not be found in GitHub.

Parameters

The following arguments are supported:

• name - (Required) Specifies the name of the Data Factory Tumbling Window Trigger. Changing this forces a new resource to be created.

• data_factory_id - (Required) The ID of Data Factory in which to associate the Trigger with. Changing this forces a new resource.

• frequency - (Required) Specifies the frequency of Tumbling Window. Possible values are Hour, Minute and Month. Changing this forces a new resource.

• interval - (Required) Specifies the interval of Tumbling Window. Changing this forces a new resource.

• pipeline - (Required) A pipeline block as defined below.

• start_time - (Required) Specifies the start time of Tumbling Window, formatted as an RFC3339 string. Changing this forces a new resource.

• activated - (Optional) Specifies if the Data Factory Tumbling Window Trigger is activated. Defaults to true.

• additional_properties - (Optional) A map of additional properties to associate with the Data Factory Tumbling Window Trigger.

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

• delay - (Optional) Specifies how long the trigger waits before triggering new run. formatted as an D.HH:MM:SS.

• description - (Optional) The description for the Data Factory Tumbling Window Trigger.

• end_time - (Required) Specifies the end time of Tumbling Window, formatted as an RFC3339 string.

• max_concurrency - (Optional) The max number for simultaneous trigger run fired by Tumbling Window. Possible values are between 1 and 50. Defaults to 50.

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

• trigger_dependency - (Optional) One or more trigger_dependency block as defined below.

A pipeline block supports the following:

• name - (Required) The Data Factory Pipeline name that the trigger will act on.

• parameters - (Optional) The Data Factory Pipeline parameters that the trigger will act on.

A retry block supports the following:

• count - (Required) The maximum retry attempts if the pipeline run failed.

• interval - (Optional) The Interval in seconds between each retry if the pipeline run failed.

A trigger_dependency block supports the following:

• offset - (Optional) The offset of the dependency trigger. Must be in Timespan format (±hh:mm:ss) and must be a negative offset for a self dependency.

• size - (Optional) The size of the dependency tumbling window. Must be in Timespan format (hh:mm:ss).

• trigger_name - (Optional) The dependency trigger name. If not specified, it will use self dependency.

The following attributes are exported:

• id - The ID of the Data Factory Tumbling Window Trigger.

Explanation in Terraform Registry

Manages a Tumbling Window Trigger inside an Azure Data Factory.

Tips: Best Practices for The Other Azure Data Factory Resources

In addition to the azurerm_data_factory, Azure Data Factory has the other resources that should be configured for security reasons. Please check some examples of those resources and precautions.

azurerm_data_factory

Ensure to disable public access

It is better to disable public access for Data Factory, which is enabled as default.