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Message type: E = Error
Message class: CNV_DMC_MD_EXTRACTOR - meta data extractor message class
Message number: 021
Message text: Data sheet &1 (row &2): the data row is inconsistent
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CNV_DMC_MD_EXTRACTOR021
- Data sheet &1 (row &2): the data row is inconsistent ?The SAP error message CNV_DMC_MD_EXTRACTOR021 indicates that there is an inconsistency in the data row of a data sheet during a data migration or extraction process. This error typically arises in the context of using the SAP Data Migration Cockpit (DMC) or similar tools for data transfer.
Cause:
The inconsistency in the data row can be caused by several factors, including:
Data Format Issues: The data in the specified row may not conform to the expected format or data type. For example, a numeric field may contain non-numeric characters.
Missing Required Fields: Required fields may be empty or missing, leading to an incomplete data row.
Invalid Values: The data may contain values that are not valid according to the business rules or constraints defined in the target system.
Referential Integrity Violations: If the data row references other data (like foreign keys), and those references do not exist or are invalid, this can cause inconsistencies.
Data Mapping Errors: Errors in the mapping configuration between the source and target systems can lead to incorrect data being extracted or transformed.
Solution:
To resolve the error, you can take the following steps:
Review the Data Row: Check the specific data row mentioned in the error message (row &2) in the data sheet (&1). Look for any obvious inconsistencies, such as incorrect formats or missing values.
Validate Data Formats: Ensure that all fields in the row conform to the expected data types and formats. Correct any discrepancies.
Check Required Fields: Make sure that all required fields are populated with valid data.
Verify Values: Cross-check the values in the row against the valid values defined in the target system. Correct any invalid entries.
Examine Referential Integrity: If the row contains references to other data, ensure that those references are valid and exist in the target system.
Review Mapping Configuration: If applicable, review the mapping configuration to ensure that data is being extracted and transformed correctly.
Use Data Validation Tools: Utilize any available data validation tools or features within the SAP Data Migration Cockpit to identify and correct issues.
Consult Documentation: Refer to SAP documentation or support resources for specific guidance related to the error message and the data migration process.
Related Information:
By following these steps, you should be able to identify and correct the inconsistencies in the data row, allowing the data migration or extraction process to proceed successfully.
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