How To Fix /SEHS/DG_CONTENT_IMP006 - CSV file &1: Field &2 cannot be mapped; more than &3 values

SAP Error Message - Details

• Message type: E = Error

• Message class: /SEHS/DG_CONTENT_IMP -

• Message number: 006

• Message text: CSV file &1: Field &2 cannot be mapped; more than &3 values

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message /SEHS/DG_CONTENT_IMP006 - CSV file &1: Field &2 cannot be mapped; more than &3 values ?

  The SAP error message /SEHS/DG_CONTENT_IMP006 indicates an issue during the import of a CSV file into the SAP system, specifically related to the mapping of fields in the data. The message states that a particular field (denoted as &2) cannot be mapped because it contains more values than expected (more than &3 values). This typically occurs when the data in the CSV file does not conform to the expected structure or format defined in the SAP system.
  Cause:
  
  Data Structure Mismatch: The CSV file may have more values in a specific field than the SAP system can handle. For example, if a field is expected to have a single value but the CSV contains multiple values separated by a delimiter (like a comma), this error will occur.
  Incorrect CSV Formatting: The CSV file might not be properly formatted, leading to misinterpretation of the data. This can include issues like missing quotes around text fields, incorrect delimiters, or extra line breaks.
  Field Length Exceeded: The data in the CSV file for a specific field may exceed the maximum length defined in the SAP system for that field.
  
  Solution:
  
  Review the CSV File: Open the CSV file and check the field that is causing the issue. Ensure that it contains the correct number of values as expected by the SAP system.
  Adjust Data: If the field is supposed to contain a single value, ensure that it does not contain multiple values. If multiple values are necessary, consider how they should be represented (e.g., using a different delimiter or combining them into a single value).
  Check Field Definitions: Review the field definitions in the SAP system to understand the expected format and constraints (like maximum length) for the fields being imported.
  Reformat the CSV: If the CSV is incorrectly formatted, reformat it according to the requirements of the SAP import process. Ensure that all fields are properly quoted and delimited.
  Test with Sample Data: Before importing a large dataset, test the import process with a smaller sample of data to ensure that the mapping works correctly.
  
  Related Information:
  
  SAP Documentation: Refer to the SAP documentation for the specific module you are working with to understand the expected data formats and field mappings.
  Transaction Codes: Use transaction codes like SE11 (Data Dictionary) or SE37 (Function Module) to check the definitions of the fields and the expected data types.
  Error Logs: Check the error logs or application logs in SAP for more detailed information about the import process and any additional errors that may have occurred.
  
  By addressing the issues outlined above, you should be able to resolve the error and successfully import your CSV file into the SAP system.