How To Fix FDT_TRACE_INFO044 - Cell condition of column &1 in row &2 is not met; row skipped

SAP Error Message - Details

• Message type: E = Error

• Message class: FDT_TRACE_INFO - Messages to enrich traces with additional info

• Message number: 044

• Message text: Cell condition of column &1 in row &2 is not met; row skipped

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message FDT_TRACE_INFO044 - Cell condition of column &1 in row &2 is not met; row skipped ?

  The SAP error message FDT_TRACE_INFO044 indicates that a specific condition for a cell in a table (or a data structure) is not met, which results in the row being skipped during processing. This message is typically encountered in the context of data processing or data transformation tasks, particularly when using SAP's Flexible Data Import (FDI) or similar tools.
  Cause:
  The error occurs when the data in a specific column (denoted by &1) of a specific row (denoted by &2) does not meet the predefined conditions or criteria set for that column. This could be due to various reasons, such as:
  
  Data Validation Rules: The data in the column may not satisfy the validation rules defined for that column (e.g., data type mismatch, value range violations).
  Missing Required Fields: The column may be required, and if it is empty or null, the row will be skipped.
  Business Logic Constraints: There may be specific business rules that dictate what values are acceptable in that column, and the current value does not comply.
  Formatting Issues: The data might be incorrectly formatted (e.g., date formats, numeric formats).
  
  Solution:
  To resolve this error, you can take the following steps:
  
  Check the Data: Review the data in the specified column and row to ensure it meets the required conditions. Look for any discrepancies or formatting issues.
  Review Validation Rules: Check the validation rules or conditions defined for that column in the data processing configuration. Ensure that the data being imported or processed adheres to these rules.
  Correct Missing Values: If the column is required, ensure that it has valid data. If it is optional, consider whether the row should be included based on your business logic.
  Consult Documentation: Refer to the SAP documentation or configuration guides related to the specific data processing tool you are using to understand the expected data formats and constraints.
  Debugging: If you have access to debugging tools, you can trace the data processing to identify exactly why the condition is not being met.
  
  Related Information:
  
  SAP Notes: Check SAP Notes for any known issues or patches related to the error message.
  Transaction Codes: Familiarize yourself with relevant transaction codes that may help in data validation or processing (e.g., SE11 for data dictionary, SE37 for function modules).
  Community Forums: Engage with SAP community forums or support channels for additional insights or similar cases encountered by other users.
  
  By following these steps, you should be able to identify the root cause of the error and implement the necessary corrections to ensure that the data processing can proceed without skipping the affected rows.