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Create a custom event trigger to run a pipeline in Azure Data Factory

  • บทความ

APPLIES TO: Azure Data Factory Azure Synapse Analytics

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Event-driven architecture is a common data integration pattern that involves production, detection, consumption, and reaction to events. Data integration scenarios often require Azure Data Factory customers to trigger pipelines when certain events occur. Data Factory native integration with Azure Event Grid now covers custom topics. You send events to an Event Grid topic. Data Factory subscribes to the topic, listens, and then triggers pipelines accordingly.

The integration described in this article depends on Azure Event Grid. Make sure that your subscription is registered with the Event Grid resource provider. For more information, see Resource providers and types. You must be able to do the Microsoft.EventGrid/eventSubscriptions/ action. This action is part of the EventGrid EventSubscription Contributor built-in role.

Important

If you're using this feature in Azure Synapse Analytics, ensure that your subscription is also registered with a Data Factory resource provider. Otherwise, you get a message stating that "the creation of an Event Subscription failed."

If you combine pipeline parameters and a custom event trigger, you can parse and reference custom data payloads in pipeline runs. Because the data field in a custom event payload is a freeform, JSON key-value structure, you can control event-driven pipeline runs.

Important

If a key referenced in parameterization is missing in the custom event payload, trigger run fails. You get a message that states the expression can't be evaluated because the keyName property doesn't exist. In this case, no pipeline run is triggered by the event.

Set up a custom topic in Event Grid

To use the custom event trigger in Data Factory, you need to first set up a custom topic in Event Grid.

Go to Event Grid and create the topic yourself. For more information on how to create the custom topic, see Event Grid portal tutorials and Azure CLI tutorials.

Note

The workflow is different from a storage event trigger. Here, Data Factory doesn't set up the topic for you.

Data Factory expects events to follow the Event Grid event schema. Make sure that event payloads have the following fields:

[
  {
    "topic": string,
    "subject": string,
    "id": string,
    "eventType": string,
    "eventTime": string,
    "data":{
      object-unique-to-each-publisher
    },
    "dataVersion": string,
    "metadataVersion": string
  }
]

Use Data Factory to create a custom event trigger

  1. Go to Data Factory and sign in.

  2. Switch to the Edit tab. Look for the pencil icon.

  3. Select Trigger on the menu and then select New/Edit.

  4. On the Add Triggers page, select Choose trigger, and then select + New.

  5. Under Type, select Custom events.

    Screenshot that shows creating a new custom event trigger in the Data Factory UI.

  6. Select your custom topic from the Azure subscription dropdown list or manually enter the event topic scope.

    Note

    To create or modify a custom event trigger in Data Factory, you need to use an Azure account with appropriate Azure role-based access control (Azure RBAC). No other permission is required. The Data Factory service principal does not require special permission to your Event Grid. For more information about access control, see the Role-based access control section.

  7. The Subject begins with and Subject ends with properties allow you to filter for trigger events. Both properties are optional.

  8. Use + New to add Event types to filter on. The list of custom event triggers uses an OR relationship. When a custom event with an eventType property matches one on the list, a pipeline run is triggered. The event type is case insensitive. For example, in the following screenshot, the trigger matches all copycompleted or copysucceeded events that have a subject that begins with factories.

    Screenshot that shows the Edit trigger page to explain Event types and Subject filtering in the Data Factory UI.

  9. A custom event trigger can parse and send a custom data payload to your pipeline. You create the pipeline parameters and then fill in the values on the Parameters page. Use the format @triggerBody().event.data._keyName_ to parse the data payload and pass values to the pipeline parameters.

    For a detailed explanation, see:

    Screenshot that shows pipeline parameters settings.

    Screenshot that shows the parameters page to reference data payload in a custom event.

  10. After you enter the parameters, select OK.

Advanced filtering

Custom event triggers support advanced filtering capabilities, similar to Event Grid advanced filtering. These conditional filters allow pipelines to trigger based on the values of the event payload. For instance, you might have a field in the event payload named Department, and the pipeline should only trigger if Department equals Finance. You might also specify complex logic, such as the date field in list [1, 2, 3, 4, 5], the month field not in the list [11, 12], and if the tag field contains [Fiscal Year 2021, FiscalYear2021, or FY2021].

Screenshot that shows setting advanced filters for a customer event trigger.

As of today, custom event triggers support a subset of advanced filtering operators in Event Grid. The following filter conditions are supported:

  • NumberIn
  • NumberNotIn
  • NumberLessThan
  • NumberGreaterThan
  • NumberLessThanOrEquals
  • NumberGreaterThanOrEquals
  • BoolEquals
  • StringContains
  • StringBeginsWith
  • StringEndsWith
  • StringIn
  • StringNotIn

Select + New to add new filter conditions.

Custom event triggers also obey the same limitations as Event Grid, such as:

  • 5 advanced filters and 25 filter values across all the filters per custom event trigger.
  • 512 characters per string value.
  • 5 values for in and not in operators.
  • Keys can't have the . (dot) character in them, for example, john.doe@contoso.com. Currently, there's no support for escape characters in keys.
  • The same key can be used in more than one filter.

Data Factory relies on the latest general availability (GA) version of the Event Grid API. As new API versions get to the GA stage, Data Factory expands its support for more advanced filtering operators.

JSON schema

The following table provides an overview of the schema elements that are related to custom event triggers.

JSON element Description Type Allowed values Required
scope The Azure Resource Manager resource ID of the Event Grid topic. String Azure Resource Manager ID Yes.
events The type of events that cause this trigger to fire. Array of strings Yes, at least one value is expected.
subjectBeginsWith The subject field must begin with the provided pattern for the trigger to fire. For example, factories only fire the trigger for event subjects that start with factories. String No.
subjectEndsWith The subject field must end with the provided pattern for the trigger to fire. String No.
advancedFilters List of JSON blobs, each specifying a filter condition. Each blob specifies key, operatorType, and values. List of JSON blobs No.

Role-based access control

Data Factory uses Azure RBAC to prohibit unauthorized access. To function properly, Data Factory requires access to:

  • Listen to events.
  • Subscribe to updates from events.
  • Trigger pipelines linked to custom events.

To successfully create or update a custom event trigger, you need to sign in to Data Factory with an Azure account that has appropriate access. Otherwise, the operation fails with the message "Access Denied."

Data Factory doesn't require special permission to your instance of Event Grid. You also do not need to assign special Azure RBAC role permission to the Data Factory service principal for the operation.

Specifically, you need Microsoft.EventGrid/EventSubscriptions/Write permission on /subscriptions/####/resourceGroups//####/providers/Microsoft.EventGrid/topics/someTopics.

  • When you author in the data factory (in the development environment, for instance), the Azure account signed in needs to have the preceding permission.
  • When you publish through continuous integration and continuous delivery, the account used to publish the Azure Resource Manager template into the testing or production factory needs to have the preceding permission.

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