Schedule a trigger programmatically

Rajesh Gopisetti 5 Reputation points
2023-08-16T11:26:54.7366667+00:00

I am receiving events with parameters from my project's Event-hub that include trigger schedules and parameters to send to my pipeline. I want to listen to these events and pass the values of those schedule parameters to the pipeline I want to use. As a result, the triggers for those schedule values that are dependent on that pipeline and going into the event hub should be associated to those values

Will this be possible in adf using custom event triggers in any way?

Azure Data Factory
Azure Data Factory
An Azure service for ingesting, preparing, and transforming data at scale.
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  1. Amira Bedhiafi 33,071 Reputation points Volunteer Moderator
    2023-08-16T18:49:21.36+00:00

    I would go for Custom Events and Event Triggers. Since I don't have enough information, I am assuming the following :

    First, make sure you have the Event Hub properly set up and that it's receiving the events with the necessary parameters.

    You can create a custom event trigger to monitor the Azure Event Hub.

    Inside the custom event trigger, you'll need to parse the event data to extract the scheduling parameters and any other information you need for the pipeline.

    Using the extracted parameters, you can programmatically schedule the pipeline execution. This can be done using the ADF SDK or REST API, depending on your preferences and requirements.

    Now, make sure the trigger you created is associated with the desired pipeline, so it will execute the pipeline with the parameters you extracted.

    I recommend implementing error handling and logging to ensure that you can monitor and troubleshoot the system.

    I am attaching this code (from an old lab I worked on using the ADF SDK):

    
    from azure.identity import DefaultAzureCredential
    
    from azure.mgmt.datafactory import DataFactoryManagementClient
    
    from azure.mgmt.datafactory.models import *
    
    resource_group_name = 'your-resource-group'
    
    data_factory_name = 'your-data-factory'
    
    pipeline_name = 'your-pipeline'
    
    location = 'your-location'
    
    # Authenticate using the DefaultAzureCredential
    
    credential = DefaultAzureCredential()
    
    adf_client = DataFactoryManagementClient(credential, 'your-subscription-id')
    
    # Define the event trigger
    
    event_trigger = EventTrigger(
    
        description="Trigger based on custom event",
    
        pipeline={
    
            'pipeline_reference': PipelineReference(pipeline_name)
    
        },
    
        type="EventTriggerSource",
    
        events=["your-event-hub-event"],
    
        scope="/subscriptions/your-subscription-id/resourceGroups/your-resource-group",
    
    )
    
    # Create the trigger
    
    adf_client.triggers.create_or_update(resource_group_name, data_factory_name, 'your-trigger-name', event_trigger)
    
    # TODO: Add logic to parse the event data and schedule the pipeline accordingly
    
    

    You can check the documentation as well Azure Data Factory documentation.


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