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Message type: E = Error
Message class: /SMB/CM_API_COMMON -
Message number: 219
Message text: For file &1, table &2, field &3 &4 records were found as non-identical
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.
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/SMB/CM_API_COMMON219
- For file &1, table &2, field &3 &4 records were found as non-identical ?The SAP error message
/SMB/CM_API_COMMON219
indicates that there is a discrepancy in the data between the source file and the target table in the SAP system. Specifically, it suggests that for the specified file, table, and field, there are records that do not match or are non-identical.Cause:
Data Mismatch: The most common cause of this error is that the data in the source file does not match the data in the target table. This could be due to:
- Incorrect data formatting in the source file.
- Missing or extra records in either the source file or the target table.
- Differences in data types or lengths between the source file and the target table.
- Data corruption or errors during the data transfer process.
Configuration Issues: There may be configuration issues in the data mapping or transformation rules that lead to discrepancies.
Data Integrity Issues: If the data in the target table has been modified or corrupted, it may not match the expected values from the source file.
Solution:
Data Validation:
- Check the source file for any discrepancies in the data format, types, and lengths.
- Validate that the records in the source file match the expected records in the target table.
Review Mapping and Transformation Rules:
- Ensure that the mapping between the source file and the target table is correctly defined.
- Review any transformation rules that may alter the data during the import process.
Data Comparison:
- Use tools or scripts to compare the data in the source file and the target table to identify specific records that are non-identical.
- Look for specific fields that are causing the mismatch and investigate further.
Error Logging:
- Check the logs for more detailed error messages that may provide additional context about the non-identical records.
Correct Data:
- Once discrepancies are identified, correct the data in either the source file or the target table as necessary to ensure they match.
Re-run the Process:
- After making the necessary corrections, re-run the data import or processing job to see if the error persists.
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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