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Message type: E = Error
Message class: FML_MIGRATION - Message Class for S/4HANA ML Migration
Message number: 011
Message text: There are records in table FINSC_LD_CMP with initial PERIV-field
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FML_MIGRATION011
- There are records in table FINSC_LD_CMP with initial PERIV-field ?The SAP error message FML_MIGRATION011 indicates that there are records in the table FINSC_LD_CMP with an initial (empty or null) PERIV field. This typically occurs during a migration or data consistency check process, particularly when working with financial data in SAP.
Cause:
The PERIV field in the FINSC_LD_CMP table is expected to contain a valid value, which usually represents a period or version identifier. If this field is empty, it can lead to inconsistencies in the data, which may prevent further processing or migration activities.
Solution:
To resolve this issue, you can follow these steps:
Identify Affected Records:
- Use a SQL query or transaction code (like SE16 or SE11) to check the records in the FINSC_LD_CMP table where the PERIV field is empty.
SELECT * FROM FINSC_LD_CMP WHERE PERIV IS NULL OR PERIV = '';
Analyze the Data:
- Determine why these records have an empty PERIV field. This could be due to data entry errors, incomplete data migration, or other issues.
Update the Records:
- If you can determine a valid value for the PERIV field, update the affected records accordingly. This can be done through an update statement or using transaction codes like SE16N (with caution).
UPDATE FINSC_LD_CMP SET PERIV = 'valid_value' WHERE <condition>;
Delete Invalid Records:
- If the records are not needed and cannot be corrected, consider deleting them. Ensure you have backups and that this action complies with your data governance policies.
DELETE FROM FINSC_LD_CMP WHERE PERIV IS NULL OR PERIV = '';
Run Migration Again:
- After correcting the records, attempt the migration process again to see if the error persists.
Related Information:
By following these steps, you should be able to resolve the FML_MIGRATION011 error and ensure that your data is consistent and valid for further processing.
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