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Message type: E = Error
Message class: 5V - HR: Messages for Belgium
Message number: 261
Message text: Records in CSV file and database are not equal
After comparing the values of the CSV file with the values in the
database table, the checktool determined one or several of the following
differences:
the database table contains more records than the CSV file
the CSV file contains more records than the database
the records in the CSV file and the database are different
The system issues an error message and will not allow you to continue with this transaction until the error is resolved.
For a detailed information about the differences between CSV file and
database, select the <ZK>Change Between ALV and Application Log</> icon
in the application log.
Error message extract from SAP system. Copyright SAP SE.
5V261
- Records in CSV file and database are not equal ?The SAP error message 5V261, which states "Records in CSV file and database are not equal," typically occurs during data import processes, particularly when using tools like SAP Data Services or SAP BusinessObjects. This error indicates a mismatch between the number of records in the CSV file being imported and the number of records that are already present in the target database.
Causes:
- Record Count Mismatch: The number of records in the CSV file does not match the expected number of records in the database.
- Data Integrity Issues: There may be issues with the data itself, such as missing records, duplicates, or incorrect formatting.
- File Corruption: The CSV file may be corrupted or improperly formatted, leading to discrepancies in record counts.
- Import Configuration: The settings or parameters used during the import process may not align with the structure of the CSV file or the database.
- Transaction Rollback: If a previous transaction failed or was rolled back, it could lead to a mismatch in expected records.
Solutions:
- Verify Record Counts: Check the number of records in both the CSV file and the target database. Ensure they match before attempting the import.
- Data Validation: Validate the data in the CSV file for completeness and correctness. Look for missing or malformed records.
- Check Import Settings: Review the import configuration settings to ensure they are correctly set up to match the structure of the CSV file and the database.
- Recreate the CSV File: If the CSV file is suspected to be corrupted, try recreating it from the source data.
- Log Analysis: Check the logs generated during the import process for any additional error messages or warnings that could provide more context.
- Test with a Subset: If possible, test the import process with a smaller subset of data to isolate the issue.
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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