This is part 66 of the series of article on SSIS
In this article we are going to see how to use Row Sampling transformation in SSIS Packaging. Row sampling is used to randomly select some rows and move it as output to the required process as and when required to divide the rows. Example of using this transformation is say example if we want to select some randomly 10 users of a community for a random prize then we can use this transformation. In this process we are going to see an example on how to use this process for the unselected output values. Let’s jump start to see this sample how to set the properties of the control.
You can look into my series of article on SSIS at the url – http://f5debug.net/tutorial/ssis.php[more]
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 how to use the Percentage sampling to see the flow. Now once the projects is opened drag and drop a source and a Percentage sampling task as shown in the screen below
Now we can see the red mark on to the control which indicates that the controls are yet to be configured. Now let us configure the source (refer to my previous articles on how to configure OLEDB source) Now your screen will look like below
Now we need to configure the Row Sampling task, double click the task will open the screen as below
Here we can specify the number of random rows can be selected and the name for the Sample output selected and unselected. Since in our example we are going to see the Selected and Unselected Output we will see on how to use it. Now after specifying the number of rows just clicks on OK button. Now drag and drop the Flat File Destination and an Excel destination as shown in the below screen
Now drag the green line from the Row Sampling to the Flat File destination and the Excel destination task. It will open a window as shown in the below screens
Here we have selected the Selected output for Excel destination and Unselected output for Flat file destination as the Output to get the data as we can see in the screen above. Now click on OK to do the further configuration of the destinations as shown in the below screens
Once the configuration is done we can see the screen as below
Now our package is ready to execute. Press F5 and execute the project we can see the screen as below which indicates that the package is executed successfully
We can see out of 91 rows 10 moved randomly to one destination and 81 moved randomly to one destination as we selected the selected rows and the unselected rows as per our requirement.
You can see the result as shown in the screen below
So in this article we have seen how to use the Row Sampling (Selected and Unselected Output) to execute dataset and split based on the number of rows and uses it across the requirement.