Transferring image data from a SQL table to Azure Blob Storage, especially when it's in varbinary
format, can be a bit tricky, but it's certainly doable. The error message you're encountering, "Source must be binary when sink is binary dataset," suggests a mismatch in the configuration of your data pipeline. Let's go through the steps to address this:
- Correct Pipeline Configuration: Ensure that your Azure Data Factory pipeline is correctly configured. The source dataset should be set to your SQL database with the correct table and column specified. The sink (destination) dataset should be set to your Blob Storage. The key here is to ensure that the pipeline understands that it's dealing with binary data at both ends.
- Binary Dataset Configuration:
- In your Source Dataset, make sure that the column containing the
varbinary
data is correctly identified and that its type is set to Binary.- In your Sink Dataset (Azure Blob Storage), you should also configure the dataset to expect binary data. This might involve setting the dataset's type to Binary or specifying the correct file format (like .jpg or .png) if your images are in a specific format.
- In your Source Dataset, make sure that the column containing the
- Data Flow Transformation (if necessary):
- If direct transfer without transformation is not working, consider using a Data Flow in Azure Data Factory.
- You can read the
varbinary
data, and then use a Derived Column transformation to ensure it's in the correct format before writing it to Blob Storage.
- You can read the
- If direct transfer without transformation is not working, consider using a Data Flow in Azure Data Factory.
For more details, follow the tutorial Copy data from a SQL Server database to Azure Blob storage
Hope this helps!