How To Fix /ISDFPS/FDPDAMPO169 - Row &1 &2 &3 cannot be converted automatically

SAP Error Message - Details

• Message type: E = Error

• Message class: /ISDFPS/FDPDAMPO -

• Message number: 169

• Message text: Row &1 &2 &3 cannot be converted automatically

Self-Explanatory Message

Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

Unfortunately, there isn't any extra information in this error notice.

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Smart SAP Assistant

• What is the cause and solution for SAP error message /ISDFPS/FDPDAMPO169 - Row &1 &2 &3 cannot be converted automatically ?

  The SAP error message /ISDFPS/FDPDAMPO169 Row &1 &2 &3 cannot be converted automatically typically occurs in the context of data processing or data conversion within the SAP system, particularly in the area of SAP Data Intelligence or SAP Data Hub. This error indicates that there is an issue with converting a specific row of data, which can be due to various reasons such as data type mismatches, invalid data formats, or missing values.
  Causes:
  
  Data Type Mismatch: The data in the specified row may not match the expected data type for the target field. For example, trying to convert a string to a number when the string contains non-numeric characters.
  Invalid Data Format: The data may not conform to the expected format (e.g., date formats, currency formats).
  Missing Values: Required fields may be empty or null, which can prevent successful conversion.
  Incompatible Data Structures: The source and target data structures may not align properly, leading to conversion issues.
  Custom Logic or Transformations: If there are custom transformations or logic applied to the data, they may not handle certain cases correctly.
  
  Solutions:
  
  Data Validation: Check the data in the specified row (indicated by &1, &2, &3) for any inconsistencies or invalid formats. Ensure that the data types match the expected types.
  Error Handling: Implement error handling in your data processing logic to manage rows that cannot be converted. This may involve logging the errors and skipping problematic rows.
  Data Cleansing: Cleanse the data before processing to ensure that it meets the required formats and types. This may include trimming whitespace, converting data types, or filling in missing values.
  Review Mapping: If you are using a mapping or transformation process, review the mapping rules to ensure they are correctly defined and can handle all possible data scenarios.
  Testing: Test the data conversion process with a smaller dataset to identify specific rows that cause issues, allowing for targeted troubleshooting.
  
  Related Information:
  
  SAP Documentation: Refer to the official SAP documentation for the specific module you are working with (e.g., SAP Data Intelligence, SAP BW) for more details on data conversion and error handling.
  SAP Community: Engage with the SAP Community forums to see if others have encountered similar issues and to share solutions.
  Transaction Codes: Use relevant transaction codes (like SE11 for data dictionary, SE80 for object navigator) to inspect the data structures involved in the conversion process.
  
  By addressing the underlying causes and implementing appropriate solutions, you can resolve the error and ensure successful data conversion in your SAP environment.