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In the next few posts of my Azure Data Factory series I want to focus on a couple of new activities. Specifically the Lookup, If Condition, and Copy activities. The copy activity in this pipeline will only be executed if the modified date of a file is greater than the last execution date. In other words, the copy activity only runs if new data has been loaded into the file located on Azure Blob Storage. The following diagram provides a visualization of the final design pattern.
If you come from an SQL background this next step might be slightly confusing to you, as it was for me. For this demo we are using the lookup activity to execute a stored procedure instead of using the stored procedure activity. The reason we are not using the stored procedure activity is because it currently does not produce any output parameters and therefore the output of a stored procedure can not be used in the pipeline. Maybe this is something that Microsoft will add as functionality in the future, but for now the lookup activity will get the job done!
The stored procedure referenced in the previous step is a very simple stored procedure that is returning the last ExecutionDate from my Control Table. Keep in mind that this code would typically be a little more robust as this control table would have many rows for many different sources. For this blog I have kept the code simple to demo the functionality of the lookup task. Take a look at the stored procedure code below:
Now that the lookup component has been configured it’s time to debug the pipeline and validate the output results of our activities.
After a successful run you can validate the output parameters by clicking on the buttons highlighted in the below image, this was explained in more detail back in the first post of this blog series.
In the next blog in this series I will outline how to use the output parameters from these activities using the If Condition activity. Thanks for reading my blog!
ABOUT THE AUTHOR
Mitchell Pearson has been with Pragmatic Works for 10 years as a Data Platform Consultant and the Training Manager. Mitchell has authored books on SQL Server, Power BI and the Power Platform. Data Platform experience includes designing and implementing enterprise level Business Intelligence solutions with the Microsoft SQL Server stack (T-SQL, SSIS, SSAS, SSRS), the Power Platform and Microsoft Azure.
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