Detection settings in Data Activator
This article describes the range of detection settings available to you when you create a rule. You learn how detection settings operate in Data Activator and how to configure them effectively. The various detection settings work together to pinpoint the exact data that you're interested in tracking.
Important
Data Activator is currently in preview.
Our example uses the Package delivery events event stream. From this event stream, we already created an object named Temperature and a rule Too hot for medicine.
Detection setting options
Detection settings are managed in the Definition pane which opens on the right side of Data Activator. Select a rule from the Explorer or select New rule to open the Definition pane. Here you set the detection settings using Summarization, Filter, and Condition.
Summarization
A summarization is made up of an aggregation (average, minimum, sum, etc.), window size, and step size for the attribute used in the rule. In this example, we use the Temperature object as our attribute. The Temperature object comes from our Package delivery events stream.
If the Summarization section isn't shown in your Definition pane, select Add summarization to open it.
When you create a summarization, you specify a time window for your rule. The time window ranges from 10 seconds to 24 hours. A summarization takes all of the values of the rule properties during each time window and converts them into a single summary value for the time window. In this example, our rule summarization is the Average aggregation for the attribute Temperature.
The summarization also includes a step size. The step size ranges from 10 seconds to 24 hours.
| Summary type | Description |
|---|---|
| Average over time | Computes the average value of the property or column over the time window |
| Count | Computes the number of events containing the property or column over the time window |
| Minimum/Maximum over time | Computes the minimum/maximum value of the property or column during the time window |
| Total | Computes the total value of the property or column during that time window. |
Filters
In a filter, you specify a comparison operation for the selected attribute. The filter retains only those events that meet the comparison condition. All other events are removed from consideration for the rule. To open the filter section, select Add filter from the Definition pane. You may have to scroll up to see the Filter and Operation field.
Use filters on any type of attribute. However, you typically use filters with text values, so that you can create a condition on a subset of your data. For example, you might set a filter of “City=Redmond” on some package-tracking events, to set a condition on only events on packages in Redmond. You can also set a filter on numerical data. In our example, we filtered for temperatures greater than 60.
You can specify up to three filters.
Conditions
The third detection setting is Condition. Use Condition to tell Data Activator when to activate the rule.
Condition types fall into the following categories:
| Condition type | Description |
|---|---|
| Is conditions | Is conditions activate for each event where the condition is true. |
| Becomes conditions | Becomes conditions activate only when the condition becomes true, after being false. For example, "Becomes greater than 10" activates when the value of the property changes from a value of five (less than 10) to a value of 11 (greater than 10). It only activates when the condition goes from being false to true. |
| Enters, Exits Range conditions | The Enters range condition activates when a property value enters a defined value range. It only activates when the previous value of the property was outside of the range, and the current value is within the range. The exits range condition is similar, except that it activates when the property value goes outside of the range. |
| Changes, Changes to, Changes from | These conditions activate when a condition changes, changes to, or changes from specified boundaries. |
| Text states such as Contains, Ends, Begins | These conditions activate when text meets the selected condition. |
| Heartbeat conditions | "No presence of data" conditions activate when data doesn't arrive in Activator. Time elapsed is the time that you want the rule to monitor if new data doesn't arrive. |
After you specify a condition type, you specify an occurrence.
The occurrence indicates how long, or how many times, the condition must be true before the rule activates.
| Timer | Description |
|---|---|
| Every time | Activate the rule each time the condition is true. |
| Number of times | Count how many times the condition is true, and activate the rule only when it becomes true the specified number of times. |
| Stays | Activate the rule if the condition is continuously true for the specified amount of time. |
Related content
- Get started with Data Activator
- Create Data Activator rules in design mode
- Data Activator tutorial using sample data
You can also learn more about Microsoft Fabric: