BlobTrigger Class

Trigger that runs every time the selected Blob container changes.

Variables are only populated by the server, and will be ignored when sending a request.

All required parameters must be populated in order to send to Azure.

Inheritance

azure.mgmt.datafactory.models._models_py3.MultiplePipelineTrigger

BlobTrigger

Constructor

BlobTrigger(*, folder_path: str, max_concurrency: int, linked_service: _models.LinkedServiceReference, additional_properties: Optional[Dict[str, Any]] = None, description: Optional[str] = None, annotations: Optional[List[Any]] = None, pipelines: Optional[List[_models.TriggerPipelineReference]] = None, **kwargs)

Variables

additional_properties

dict[str, any]

Unmatched properties from the message are deserialized to this collection.

type

str

Required. Trigger type.Constant filled by server.

description

str

Trigger description.

runtime_state

str or TriggerRuntimeState

Indicates if trigger is running or not. Updated when Start/Stop APIs are called on the Trigger. Known values are: "Started", "Stopped", "Disabled".

annotations

list[any]

List of tags that can be used for describing the trigger.

pipelines

list[TriggerPipelineReference]

Pipelines that need to be started.

folder_path

str

Required. The path of the container/folder that will trigger the pipeline.

max_concurrency

int

Required. The max number of parallel files to handle when it is triggered.

linked_service

LinkedServiceReference

Required. The Azure Storage linked service reference.