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Message type: E = Error
Message class: UCF7 - Messages for Flexible Upload
Message number: 016
Message text: Data row has no values
The current data row contains the a null value for all key figures.
The data row may reset existing values depending on the update mode and
the input type.
Check whether missing values were intended for all key figures.
If not all key figures of the data row are supposed to contain zeroes,
check the numeric format and the column order of the file.
The system issues an error message and will not allow you to continue with this transaction until the error is resolved.
Error message extract from SAP system. Copyright SAP SE.
UCF7016
- Data row has no values ?The SAP error message UCF7016, which states "Data row has no values," typically occurs in the context of data processing or data transfer within SAP systems, particularly when dealing with data uploads or data extraction processes. This error indicates that a data row expected to contain values is empty or does not have any valid data.
Causes:
- Empty Data Rows: The most common cause is that the data source (like a file or a database) contains rows that are completely empty or do not have the expected values.
- Incorrect Mapping: If the data fields are not correctly mapped to the target structure, it may lead to rows being interpreted as empty.
- Data Format Issues: The data might not be in the expected format, leading to the system not recognizing the values.
- Data Extraction Issues: If data is being extracted from another system, there may be issues with the extraction logic that results in empty rows.
- Validation Rules: Certain validation rules may be in place that require specific fields to be populated, and if they are not, the row is considered invalid.
Solutions:
- Check Data Source: Review the data source to ensure that there are no empty rows. If you are using a file, open it in a text editor or spreadsheet application to verify its contents.
- Data Mapping: Ensure that the data fields are correctly mapped to the target structure in SAP. Verify that all required fields are included and correctly aligned.
- Data Validation: Implement validation checks before processing the data to ensure that all required fields are populated.
- Error Handling: If applicable, implement error handling in your data processing logic to skip or log empty rows instead of failing the entire process.
- Review Extraction Logic: If the data is being extracted from another system, review the extraction logic to ensure that it is correctly pulling the necessary data.
Related Information:
SE38
for executing reports or SM37
for monitoring background jobs.If the issue persists after checking these areas, it may be beneficial to consult with your SAP support team or reach out to SAP support for further assistance.
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