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Message type: E = Error
Message class: CNV_IUUC_REPL_ADV_SE - MEssage class for package CNV_IUUC_REPL_ADV_SETTINGS
Message number: 126
Message text: No empty row can be saved
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CNV_IUUC_REPL_ADV_SE126
- No empty row can be saved ?The SAP error message CNV_IUUC_REPL_ADV_SE126: No empty row can be saved typically occurs in the context of data replication or data migration processes, particularly when using the SAP Landscape Transformation (SLT) Replication Server or similar tools. This error indicates that an attempt was made to save a row in a database table that is empty or does not contain the required data.
Cause:
- Empty Data Rows: The most common cause of this error is that the data being processed contains empty rows or rows that do not meet the required criteria for saving in the target table.
- Data Mapping Issues: There may be issues with the mapping of fields between the source and target systems, leading to incomplete data being sent for replication.
- Validation Rules: The target table may have validation rules or constraints that prevent the saving of rows that do not meet certain criteria (e.g., mandatory fields not being filled).
- Configuration Issues: Incorrect configuration in the SLT settings or the data replication setup can lead to this error.
Solution:
- Check Data Source: Review the data source to ensure that there are no empty rows or incomplete records. Clean the data before attempting replication.
- Data Mapping Review: Verify the mapping of fields between the source and target systems. Ensure that all required fields are being populated correctly.
- Validation Rules: Check the validation rules and constraints on the target table. Make sure that the data being replicated complies with these rules.
- Configuration Settings: Review the SLT configuration settings to ensure that they are set up correctly for the data being replicated.
- Error Logs: Check the error logs for more detailed information about the specific rows causing the issue. This can help identify the problematic data.
- Testing: Perform a test replication with a smaller dataset to isolate the issue and confirm that the changes made resolve the error.
Related Information:
By following these steps, you should be able to identify the root cause of the error and implement a solution to resolve it.
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