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Message type: E = Error
Message class: CNV_DMC_MC_EXCEPTION - Exception texts of Migration Object Modeller
Message number: 062
Message text: CSV row contains too many attributes.
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CNV_DMC_MC_EXCEPTION062
- CSV row contains too many attributes. ?The SAP error message CNV_DMC_MC_EXCEPTION062 indicates that a CSV row contains too many attributes, which typically means that the number of columns in the CSV file exceeds the expected limit defined by the system. This error is often encountered during data migration processes, particularly when using the SAP Data Migration Cockpit or similar tools.
Cause:
- Excessive Columns: The CSV file being processed has more columns than the target structure allows. Each row in the CSV file should match the expected number of attributes (columns) defined in the target data model.
- Incorrect Mapping: The mapping configuration may not align with the structure of the CSV file, leading to an expectation of fewer columns.
- Data Formatting Issues: Sometimes, data formatting issues (like extra delimiters) can cause the system to misinterpret the number of columns.
Solution:
- Check CSV Structure: Open the CSV file and verify the number of columns. Ensure that it matches the expected structure defined in the target system.
- Adjust the CSV File: If there are extra columns, remove them or adjust the data to fit the expected format. Ensure that the data aligns with the target structure.
- Review Mapping Configuration: Check the mapping settings in the data migration tool to ensure that they are correctly configured to match the CSV file structure.
- Data Validation: Validate the data in the CSV file to ensure there are no formatting issues, such as additional commas or delimiters that could be causing the row to be interpreted as having more columns.
- Consult Documentation: Refer to the SAP documentation for the specific data migration tool you are using to understand the expected structure and limitations.
Related Information:
By following these steps, you should be able to resolve the error and successfully process your CSV file.
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