In this article we are going to see on how to use an Aggregate data flow transformation control in SSIS packaging. Aggregate functions are used to do a list of needed activities like Sum, Average, and Group by etc., on to a transformation output.
You can also read my other articles on SSIS here.
Follow steps 1 to 3 on my first article to open the BIDS project and select the right project to work on integration services project. Once the project is created, we will see on how to use an aggregate control along with the list of available operations. The lists of available aggregate functions are as follows
||Gives the average values of column values|
||Divides the dataset into groups|
||Sums the columns into a value, data types with integers are only taken into account|
||Gives the number of items in a group|
||Gives the number of unique non null number of items in a group|
||Gives the minimum number in a group|
||Gives the maximum number in a group|
Here we will see on the AVERAGE operation in the aggregate control. Here I have added an OLEDB connection which fetches the data from the database upon which we are going to do some manipulations and then pass it to a file destination as shown in the below screen
Here last 2 controls shows a red mark inside the control indicating that the control is not configured. We step forward and configure the same. Now double click on the Aggregate function will open a pop up windows as shown in the below screen
Here we are selecting the columns on which we need an average of as shown in the screen. And after selecting the number of columns for the aggregate then click on the OK button to get configured. Now configure the Flat File Destination as shown in the below screen.
Once everything is configured your screen will look as shown in the below screen
Now Hit F5 will run the application and show the output as shown in the below screen
Here the numbers of rows are indicated at the bottom of the each control as shown in the above screen. And finally the results (AVERAGE of the columns) are loaded to flat file destination which looks like below
So in this article we have seen on how to do an average of a number of columns using an Aggregate function.