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MultiplePipelineTrigger Class

  • Reference

Base class for all triggers that support one to many model for trigger to pipeline.

You probably want to use the sub-classes and not this class directly. Known sub-classes are: BlobEventsTrigger, BlobTrigger, CustomEventsTrigger, ScheduleTrigger

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 server.

Inheritance
azure.mgmt.datafactory.models._models_py3.Trigger
MultiplePipelineTrigger

Constructor

MultiplePipelineTrigger(*, additional_properties: Dict[str, MutableMapping[str, Any]] | None = None, description: str | None = None, annotations: List[MutableMapping[str, Any]] | None = None, pipelines: List[_models.TriggerPipelineReference] | None = None, **kwargs: Any)

Keyword-Only Parameters

Name Description
additional_properties
dict[str, <xref:JSON>]

Unmatched properties from the message are deserialized to this collection.
description
str

Trigger description.
annotations
list[<xref:JSON>]

List of tags that can be used for describing the trigger.
pipelines
list[TriggerPipelineReference]

Pipelines that need to be started.

Variables

Name Description
additional_properties
dict[str, <xref:JSON>]

Unmatched properties from the message are deserialized to this collection.
type
str

Trigger type. Required.
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", and "Disabled".
annotations
list[<xref:JSON>]

List of tags that can be used for describing the trigger.
pipelines
list[TriggerPipelineReference]

Pipelines that need to be started.