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Message type: E = Error
Message class: FDT_EXPRESSIONS - Formula & Derivation Tool: Expressions
Message number: 213
Message text: Invalid rows (&1, &2) specified for swapping
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FDT_EXPRESSIONS213
- Invalid rows (&1, &2) specified for swapping ?The SAP error message FDT_EXPRESSIONS213 indicates that there is an issue with the rows specified for swapping in a data transformation or expression context. This error typically arises in the context of SAP Data Services or SAP Data Transformation tools when the system encounters invalid row references during a data manipulation operation.
Cause:
Invalid Row References: The error suggests that the rows specified for swapping do not exist or are not valid. This could happen if:
- The row indices are out of range.
- The rows have been deleted or are not available in the current context.
- There is a mismatch in the expected data structure.
Data Integrity Issues: If the data being processed has integrity issues, such as missing values or incorrect data types, it can lead to this error.
Configuration Errors: Incorrect configuration in the data transformation logic or expressions can also lead to invalid row references.
Solution:
Check Row Indices: Verify the row indices specified for swapping. Ensure that they are within the valid range of the dataset being processed.
Validate Data Structure: Ensure that the data structure you are working with is intact and that the rows you are trying to swap exist. You may need to check for any data integrity issues.
Review Transformation Logic: Go through the transformation logic or expressions to ensure that they are correctly configured. Look for any potential errors in the logic that could lead to invalid row references.
Debugging: Use debugging tools available in SAP to trace the execution of the transformation and identify where the invalid row references are being generated.
Consult Documentation: Refer to SAP documentation or help resources for specific guidance on the transformation functions you are using, as there may be nuances or specific requirements for the operations.
Error Handling: Implement error handling in your data transformation process to gracefully manage situations where invalid rows are encountered.
Related Information:
By following these steps, you should be able to identify the cause of the error and implement a solution to resolve it.
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