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Message type: E = Error
Message class: MDQ_DATA_IMPORT -
Message number: 117
Message text: Value for column &1 in row &2 is not supported.
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MDQ_DATA_IMPORT117
- Value for column &1 in row &2 is not supported. ?The SAP error message MDQ_DATA_IMPORT117 indicates that there is an issue with the data being imported into the system, specifically that the value for a certain column in a specific row is not supported. This error typically occurs during data import processes, such as when using the Data Migration Workbench or other data import tools.
Cause:
Invalid Data Value: The value being imported for the specified column does not meet the expected format or constraints defined in the SAP system. This could be due to:
- Incorrect data type (e.g., trying to import a string into a numeric field).
- Values that exceed the allowed length or range.
- Values that do not conform to predefined lists or codes (e.g., using an invalid material type or status).
Missing Configuration: The system may not have the necessary configuration or master data in place to accept the value being imported.
Data Mapping Issues: There may be a mismatch between the source data and the target fields in SAP, leading to unsupported values.
Solution:
Check the Data: Review the data being imported, particularly the value in column &1 for row &2. Ensure that it adheres to the expected format and constraints.
Validate Against Master Data: Ensure that the value exists in the relevant master data tables. For example, if the column is for a material type, check that the material type exists in the system.
Adjust Data Mapping: If you are using a data mapping tool, ensure that the mappings are correctly set up to match the source data with the target fields in SAP.
Consult Documentation: Refer to the SAP documentation for the specific data import process you are using. This may provide insights into the expected formats and constraints for the data.
Error Logs: Check any error logs or detailed messages provided by the import tool for additional context on the error.
Test with Sample Data: If possible, test the import with a smaller set of data to isolate the issue and identify which specific values are causing the error.
Related Information:
By following these steps, you should be able to identify the cause of the error and implement a solution to successfully import your data.
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