This page provides examples of what your input and output data might look like in your stream’s Data aggregator after your stream has been run at least once. These views will help you with troubleshooting and validating the data transformation process within the Data aggregator.
Here are some example streams that use the Data aggregator function. These are pre-configured streams that can be found and executed from the Usage Engine platform for learning purposes. See https://infozone.atlassian.net/wiki/x/rMB3 for more details.
Input data
The input data window shows the raw data received by the Data aggregator from the previous functions in the stream. This view can help you to verify the incoming data that will be used for aggregation. There are two tab views available, Table and Tree.
Output data
The Output data shows a subset of the aggregated data. It will show the data grouped and summarized based on the criteria set in the aggregator's configuration, for example, total consumption, number of occurrences, or maximum values for each group. It will allow you to inspect the final aggregated data and verify that the function has correctly applied the aggregation rules based on the configuration.
Example - Configuration, input, and output data from the sample stream ‘Printing As A Service’.
In the example stream Printing As A Service, the data has been configured to be aggregated by the field printerId, with the SUM of the field 'sheets' and based on the monthly timestamp. This means that the output data will show the total number of sheets (SUM sheets) for each printer (printerId) over one month (timestamp, month).
