Conditional Processing or Execution Conditions gives you the power to decide if a particular action on HubSpot will be executed or not when the workflow is triggered by the incoming event. This is similar to the if-then-else logic applied to the execution of an action based on the attribute from the trigger event of the workflow.
Think of Conditional Processing as equivalent of if-then-else, as decision diamond in the flow chart, or the Conditional Branching in BPEL (Business Process Execution Language).
You can add conditional processing to any action in your workflow and evaluate which actions should be performed in response to a particular trigger event identified by its characteristics or the data attributes. You can apply complex logic using AND, OR and grouping of such conditions. Each of the conditions supports different operators based on the event data type being a string (abc and/or 123), number (123), boolean (true/false) etc. Read here to find more about Conditional Processing.
We will take a scenario where you are using MongoDB as the trigger application. There could be multiple application actions invoked upon receiving a MongoDB trigger. Each of the actions in the flow would apply its own execution condition based on the data attributes of the MongoDB trigger event. This will allow each of the actions to independently choose to execute based on the defined execution conditions.
In this example, the workflow is triggered when a new document is added into database collection. It has two actions, the first a ServiceNow action and the second Outlook send email action.
When using MongoDB as the trigger application, the following attributes will be available to you in all your application actions:
- Event Time - Date and Time when the event happened.
In Figure 1 below, the action on ServiceNow will only be performed if the Event Time of the Document Created in MongoDB is before date "8/6/2020, 3:46 PM".
Similarly in Figure 2 below, in the same workflow, an email from Outlook will only be sent if the Event Time of the Document Created in MongoDB "Exists".