On this page
Atlas Triggers allow you to execute server-side logic in response to database events or according to a schedule. Atlas provides two kinds of Triggers: Database and Scheduled triggers.
Database Triggers allow you to execute server-side logic whenever a document is added, updated, or removed in a linked Atlas cluster. Unlike SQL data triggers, which run on the database server, triggers run on a serverless compute layer that scales independently of the database server. Triggers automatically call Atlas Functions and can forward events to external handlers through Amazon EventBridge.
Use database triggers to implement event-driven data interactions. For example, you can automatically update information in one document when a related document changes or send a request to an external service whenever a new document is inserted.
Database triggers use MongoDB change streams to watch for real-time changes in a collection. A change stream is a series of database events that each describe an operation on a document in the collection. Your app opens a single change stream for each collection with at least one enabled trigger. If multiple triggers are enabled for a collection they all share the same change stream.
You control which operations cause a trigger to fire as well as what happens when it does. For example, you can run a function whenever a specific field of a document is updated. The function can access the entire change event, so you always know what changed. You can also pass the change event to Amazon EventBridge to handle the event outside of Atlas.
Change Stream Limitations
There are limits on the total number of change streams you can open on a cluster, depending on the cluster's size. See change stream limitations for more information.
MongoDB Atlas performs a
replace command rather than an
update command when executing an update via the Atlas UI.
Database triggers will only recognize this update via the
Atlas UI if you have marked the replace
database event for the trigger.
Scheduled triggers allow you to execute server-side logic on a regular schedule that you define using CRON expressions. Use scheduled triggers to do work that happens on a periodic basis, such as updating a document every minute, generating a nightly report, or sending an automated weekly email newsletter.
Triggers execute a function that you specify. Each trigger is associated with exactly one Function.
To find this app, click App Services in the navigation and select the Triggers app.
Triggers created between 09 June 2020 and 01 June 2022 use the name Triggers_RealmApp. Triggers created prior to 09 June 2020 use the name Triggers_StitchApp.
To create a new database or scheduled trigger:
Click the Data Services tab in the top navigation of your screen if you haven't already navigated to Atlas.
Click Triggers in the left-hand navigation.
On the Overview tab of the Triggers page, click Add Trigger to open the trigger configuration page.
Enter configuration values for the trigger and click Save at the bottom of the page.
Triggers may enter a suspended state in response to an event that prevents the trigger's change stream from continuing, such as a network disruption. When a trigger is suspended, it does not receive change events and will not fire.
In the event of a failed trigger, Atlas App Services sends an email notification to the project owner, alerting them of the issue.
To restart a suspended trigger:
Click Restart in the trigger's Actions column.
You can choose to restart the trigger with a change stream resume token or open a new change stream. Indicate whether or not to use a resume token and then click Resume Database Trigger.
If you use a resume token, Atlas attempts to resume the trigger's underlying change stream at the event immediately following the last change event it processed. If successful, the trigger processes any events that occurred while it was suspended.
If you do not use a resume token, the trigger begins listening for new events but will not fire for any events that occurred while it was suspended.
An external dependency is an external library that includes logic you'd rather not implement yourself, such as string parsing, convenience functions for array manipulations, and data structure or algorithm implementations.
To configure a Database trigger, see Database Trigger Configuration.
To configure a Scheduled trigger, see Scheduled Trigger Configuration.
To learn about how Atlas bills triggers, see App Services Billing.