This is part 65 of the series of article on SSIS

Introduction:

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 – https://f5debug.net/tutorial/ssis.php

Steps:

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 output will look like before

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 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 as shown in the below screen

Now drag the green line from the Row Sampling to the Flat File destination task. It will open a window as shown in the below screen

Here we have selected the Unselected output 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 destination as shown in the below screen

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 only 81 rows are randomly selected and passed to the destination. Which means out of the 10 selected rows remaining 81 rows which are not selected have been processed. We can see the output by opening the file which we gave in the destination configuration section. You can see the result as shown in the screen below

Conclusion:

So in this article we have seen how to use the Row Sampling (Unselected Output) to execute dataset and split based on the number of rows and uses it across the requirement.