How To Fix DMC_MD_INTERPRETER009 - Data sheet &1 (row &2): converting the field &3 to an ABAP-type failed

SAP Error Message - Details

• Message type: E = Error

• Message class: DMC_MD_INTERPRETER - Message of MWB Meta Data Interpreter

• Message number: 009

• Message text: Data sheet &1 (row &2): converting the field &3 to an ABAP-type failed

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message DMC_MD_INTERPRETER009 - Data sheet &1 (row &2): converting the field &3 to an ABAP-type failed ?

  The SAP error message DMC_MD_INTERPRETER009 typically occurs during data import or data processing in SAP Data Management or SAP Data Intelligence. This error indicates that there was a failure in converting a specific field from the data sheet into an ABAP type, which is necessary for processing the data correctly in the SAP environment.
  Cause:
  The error can be caused by several factors, including:
  
  
  Data Type Mismatch: The data in the specified field does not match the expected ABAP data type. For example, if the field is expected to be numeric but contains alphanumeric characters, the conversion will fail.
  
  
  Invalid Data Format: The format of the data in the field may not be compatible with the expected format. For instance, date formats or decimal separators may differ from what SAP expects.
  
  
  Null or Empty Values: If the field contains null or empty values where a value is expected, this can also lead to conversion errors.
  
  
  Length Exceedance: The data in the field may exceed the maximum length defined for the corresponding ABAP type.
  
  
  Solution:
  To resolve the error, you can take the following steps:
  
  
  Check Data Types: Review the data types defined in the data sheet and ensure they match the expected ABAP types. Make necessary adjustments to the data.
  
  
  Validate Data Format: Ensure that the data format in the fields adheres to the expected formats. For example, if a date is expected in the format YYYY-MM-DD, ensure that the data matches this format.
  
  
  Handle Null Values: If there are fields that can be null, ensure that the data processing logic can handle these cases appropriately.
  
  
  Trim Data Length: Check the length of the data in the fields and ensure they do not exceed the maximum length defined for the corresponding ABAP types.
  
  
  Use Data Cleansing Tools: If you are working with large datasets, consider using data cleansing tools or scripts to preprocess the data before importing it into SAP.
  
  
  Review Error Logs: Check the detailed error logs for more specific information about which field is causing the issue and what the expected type is.
  
  
  Related Information:
  
  SAP Documentation: Refer to the official SAP documentation for Data Management or Data Intelligence for more details on data types and conversion rules.
  SAP Community: Engage with the SAP Community forums to see if others have encountered similar issues and what solutions they found effective.
  Testing: Before importing large datasets, conduct tests with smaller subsets of data to identify and resolve issues more easily.
  
  By following these steps, you should be able to identify the root cause of the error and implement a solution to resolve it.