How To Fix /ISDFPS/FDPDAMPO177 - Row &1 &2 &3 cannot be converted

SAP Error Message - Details

• Message type: E = Error

• Message class: /ISDFPS/FDPDAMPO -

• Message number: 177

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

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.

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Smart SAP Assistant

• What is the cause and solution for SAP error message /ISDFPS/FDPDAMPO177 - Row &1 &2 &3 cannot be converted ?

  The SAP error message /ISDFPS/FDPDAMPO177 Row &1 &2 &3 cannot be converted typically occurs in the context of data processing or data conversion within the SAP system, particularly when dealing with the SAP Data Intelligence or SAP S/4HANA systems. This error indicates that there is an issue with converting a specific row of data, which can be due to various reasons.
  Possible 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 where the string contains non-numeric characters.
  
  
  Invalid Data Format: The data might be in an incorrect format that cannot be processed. For instance, date formats or currency formats that do not align with the expected formats.
  
  
  Null or Missing Values: If the row contains null or missing values in fields that are required for conversion, this can lead to conversion errors.
  
  
  Data Length Exceeded: The data in the row may exceed the maximum length allowed for the target field.
  
  
  Inconsistent Data: The data might be inconsistent or corrupted, leading to conversion issues.
  
  
  Solutions:
  
  
  Check Data Types: Review the data types of the source and target fields to ensure they match. Make necessary adjustments to the data or the target schema.
  
  
  Validate Data Formats: Ensure that the data adheres to the expected formats. For example, check date formats, numeric formats, and any other specific formatting requirements.
  
  
  Handle Null Values: Implement checks to handle null or missing values appropriately. You may need to provide default values or exclude such rows from processing.
  
  
  Trim Data Length: If the data length exceeds the allowed limit, consider truncating the data or adjusting the target field length if possible.
  
  
  Data Cleansing: Perform data cleansing operations to remove or correct any inconsistent or corrupted data before attempting the conversion again.
  
  
  Debugging: Use debugging tools or logs to identify the specific row and the exact data causing the issue. This can help in pinpointing the problem more effectively.
  
  
  Related Information:
  
  
  Transaction Codes: Depending on the context, you may want to check transaction codes related to data processing, such as SE11 (Data Dictionary), SE80 (Object Navigator), or specific transaction codes for data migration or transformation.
  
  
  SAP Notes: Check SAP Notes for any known issues or patches related to this error message. SAP frequently updates its knowledge base with solutions for common errors.
  
  
  Documentation: Refer to the official SAP documentation for the specific module you are working with, as it may provide additional insights into data handling and conversion processes.
  
  
  If the issue persists after trying the above solutions, consider reaching out to your SAP support team or consulting with an SAP expert for further assistance.