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Message type: E = Error
Message class: CNV10994 - Message class for CNV_10994
Message number: 026
Message text: Sample value=&1; &2 % found in value table &3
Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.
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CNV10994026
- Sample value=&1; &2 % found in value table &3 ?The SAP error message CNV10994026 typically occurs during data migration or conversion processes, particularly when using the SAP S/4HANA Migration Cockpit or similar tools. This error indicates that there is an issue with the data being processed, specifically related to a sample value that does not conform to the expected format or range.
Cause:
The error message CNV10994026 is triggered when:
&1
and &2
) is not valid according to the rules set for the corresponding field in the value table (&3
).To resolve this error, you can take the following steps:
Check the Data: Review the data being migrated or converted. Look for the specific values indicated in the error message (&1
and &2
) and verify if they conform to the expected format and constraints.
Validate Value Table: Investigate the value table (&3
) mentioned in the error message. Ensure that the values being processed are valid according to the definitions in this table.
Adjust Data Mapping: If you are using a mapping tool or template, ensure that the mapping for the fields is correctly defined. Adjust the mapping if necessary to ensure that the data being migrated matches the expected formats.
Data Cleansing: If the source data contains invalid entries, consider cleansing the data before migration. This may involve correcting or removing invalid records.
Consult Documentation: Refer to SAP documentation or notes related to the specific migration or conversion process you are using. There may be specific guidelines or known issues related to the error.
Testing: After making adjustments, perform a test migration with a smaller dataset to ensure that the changes resolve the issue before proceeding with the full migration.
By following these steps, you should be able to identify the root cause of the error and implement a solution to successfully complete your data migration or conversion process.
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