Now I load this dataset into Power BI, by using Close and Apply in the Query Editor window, and I expect everything to load successfully, however, this is coming out of the blue!ĭoes this sound familiar? Yes, if you have worked with Power BI for a while, you might have experienced it.
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Errors happen in Power Query in the real world, and I’m here to show you how to find them.Īs you can see in the Power Query Editor, I see no errors for this data type change, and everything looks great I want the dataset to fail to show you how to deal with it. Of course, you can turn off this automatic data type detection of Power Query, but that is not my point. You can see this automatic data type conversion in the list of Steps When I get this dataset in my Power Query Editor window (as you see in the above screenshot), Power Query automatically converts the data type of the BirthDate column to Date. Here is what the data looks like when I bring it into Power Query: In the sample Dataset, we have a BirthDate field beside all other fields, which supposed to have a date value in it. I will use a sample Excel file as a data source which has 18,484 customer rows in it.
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Means you get the dataset updated, and you can catch any rows caused the error in an exception report page. The method that you learn here, will save your model from failing at the time of refresh. Errors can happen by many reasons, In this post, I’ll show you a way to catch potential errors in Power Query and how to build an exception report page to visualize the error rows for further investigation. If you build a reporting solution that the refresh of that fails everytime an error occurs, it is not a robust system. To build a robust BI system, you need to cater for errors and handle errors carefully.
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