@Christopher Wilkinson Thanks for reaching out to us, there could be a few reasons as to why your pipeline is not writing the output to the CSV file. Here are a few steps you can take to diagnose and solve the issue:
- Check the Pipeline Output: After running the pipeline, check the output logs. The logs might contain information about any errors or issues that occurred while writing the data to the CSV file.
- Check the Permissions: Ensure that the Azure ML workspace has the necessary permissions to write data to the blob storage. You may need to set up a role assignment in the Azure portal to grant these permissions.
- Check the File Path: The path specified in the Export Data step should be correct. A common mistake is to give the path of the blob storage but not the specific file name. Make sure the path includes the file name and extension (e.g.,
/path/to/file.csv
). - Check the Data Format: The data you are trying to write should match the format of the CSV file. If the data format is not compatible with the CSV format, the write operation might fail.
- Use Python SDK: You can consider using Azure ML Python SDK to write the output data to a CSV file
Please check on above and let me know how you think about it.
Regards,
Yutong