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Message type: E = Error
Message class: CNVMBTDEX - DMIS DEX: Data Extracts
Message number: 018
Message text: & skip data block of & from file
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CNVMBTDEX018
- & skip data block of & from file ?The SAP error message CNVMBTDEX018 typically occurs during data migration processes, particularly when using the SAP Migration Cockpit or similar tools. This error indicates that there is an issue with a specific data block in the file being processed, which leads to the system skipping that block.
Cause:
- Data Format Issues: The data in the file may not conform to the expected format. This could include incorrect data types, missing mandatory fields, or invalid values.
- File Corruption: The file being processed may be corrupted or improperly formatted, leading to read errors.
- Mapping Errors: There may be issues with the mapping of fields between the source and target systems, causing the system to be unable to interpret the data correctly.
- Data Integrity Violations: The data may violate integrity constraints in the target system, such as unique constraints or foreign key relationships.
Solution:
- Check Data Format: Review the data in the file to ensure it adheres to the expected format. Look for any discrepancies in data types, missing fields, or invalid values.
- Validate the File: Use tools or scripts to validate the integrity of the file. Ensure that it is not corrupted and that it can be read correctly.
- Review Mapping Configuration: Check the mapping configuration in the migration tool to ensure that all fields are correctly mapped and that there are no discrepancies.
- Data Cleansing: If there are data integrity issues, consider cleansing the data before migration. This may involve correcting invalid entries or removing duplicates.
- Log Analysis: Review the logs generated during the migration process for more detailed error messages that can provide insights into the specific issues with the data block.
- Test with Sample Data: If possible, test the migration process with a smaller subset of data to identify and resolve issues before processing the entire dataset.
Related Information:
By following these steps, you should be able to identify the root cause of the error and implement a solution to successfully process the data migration.
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