Hi @eg0087
To perform ordinal mapping in Azure Data Factory (ADF) while also adding additional columns with dynamic content, you need to ensure that the mapping configuration is correctly set up. Here are some steps and considerations that might help you resolve the issue:
Ordinal Mapping -When using ordinal mapping, make sure that the columns in the source are correctly indexed. The ordinal mapping requires you to specify the column index starting from 1. If your source data does not have a header line, this is crucial.
Adding Additional Columns - You can add additional columns during the copy activity by configuring the additionalColumns
property in your copy activity source. Each additional column can have a dynamic value, which can be set using ADF expressions or reserved variables.
Mapping Configuration - After adding the additional columns, ensure that you map them correctly in the mapping tab. You may need to explicitly define how these additional columns relate to the sink schema.
Error Handling - If you encounter errors during the mapping process, check the following:
- Ensure that all required columns in the sink are being mapped correctly.
- Verify that the additional columns do not conflict with existing column names in the sink.
- Make sure that the data types of the additional columns are compatible with the sink schema.
Testing - After making changes, run the pipeline to see if the issue persists. If errors continue, reviewing the error messages closely can provide insights into what might be going wrong.
If you follow these guidelines and ensure that your mapping and additional columns are set up correctly, you should be able to resolve the issue.
Reference documentations:
- Copy activity in Azure Data Factory and Azure Synapse Analytics
- Schema and data type mapping in copy activity
Hope this helps. Do let us know if you have any further queries.
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