The image you sent confirms that you're able to successfully define the mapping within the column mapping section of your Azure Data Factory (ADF) Copy Activity, but encountering an error when using the same value in a parameter.
Here's why this might be happening and how to address it:
ADF Parameter Types:
ADF parameters are designed to hold specific data types like strings, integers, or booleans. They cannot inherently store complex objects like the mapping definition you're using.
Possible Solutions:
Pass Mapping as a String:
- While not ideal, you can try storing the entire mapping definition as a string within a parameter. However, this approach makes it difficult to maintain and edit the mapping later. Create a Separate JSON File:
Consider creating a separate JSON file containing the mapping definition. Then, within your ADF pipeline, use the @pipeline().parameters.PathToYourJSONFile
expression to reference the file's location. This approach keeps your mapping definition separate and easier to manage.
Use a More Suitable Data Structure (Advanced):
If your scenario involves more complex data manipulation, explore using ADF variables. Variables allow storing and referencing complex data structures during pipeline execution. This solution might require a deeper understanding of ADF variables and their usage.
Recommendation:
For readability and maintainability, creating a separate JSON file for the mapping definition (solution 2) is generally the recommended approach. This keeps your pipeline code clean and separates configuration details.
Additional Tips:
- Ensure the JSON file containing the mapping definition is accessible by your ADF pipeline during execution.
- Double-check the path used in the
@pipeline().parameters.PathToYourJSONFile
expression to ensure it points to the correct location of your JSON file