ChainingTrigger Class

Trigger that allows the referenced pipeline to depend on other pipeline runs based on runDimension Name/Value pairs. Upstream pipelines should declare the same runDimension Name and their runs should have the values for those runDimensions. The referenced pipeline run would be triggered if the values for the runDimension match for all upstream pipeline runs.

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.Trigger

ChainingTrigger

Constructor

ChainingTrigger(*, pipeline: _models.TriggerPipelineReference, depends_on: List[_models.PipelineReference], run_dimension: str, additional_properties: Optional[Dict[str, Any]] = None, description: Optional[str] = None, annotations: Optional[List[Any]] = 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.

pipeline

TriggerPipelineReference

Required. Pipeline for which runs are created when all upstream pipelines complete successfully.

depends_on

list[PipelineReference]

Required. Upstream Pipelines.

run_dimension

str

Required. Run Dimension property that needs to be emitted by upstream pipelines.