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Message type: E = Error
Message class: FDT_CHANGE_INFO - FDT: Changes info in object for different versions
Message number: 548
Message text: Value inserted in row &1 column &2. Value is &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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FDT_CHANGE_INFO548
- Value inserted in row &1 column &2. Value is &3 ?The SAP error message FDT_CHANGE_INFO548 typically indicates that there is an issue with the data being inserted or modified in a specific row and column of a table or data structure. The message provides details about the row number, column number, and the value that is being inserted.
Cause:
The error can occur due to several reasons, including:
- Data Type Mismatch: The value being inserted does not match the expected data type for that column. For example, trying to insert a string into a numeric field.
- Validation Rules: There may be validation rules defined for the field that the inserted value does not satisfy.
- Field Length Exceeded: The value being inserted may exceed the maximum length defined for that column.
- Null Value Restrictions: The column may not allow null values, and a null value is being attempted to be inserted.
- Business Logic Constraints: There may be business logic or constraints that prevent the insertion of the specified value.
Solution:
To resolve the error, you can take the following steps:
- Check Data Types: Ensure that the value you are trying to insert matches the expected data type for the column.
- Review Validation Rules: Check if there are any validation rules for the column and ensure that the value meets those criteria.
- Field Length: Verify that the length of the value being inserted does not exceed the maximum length allowed for that column.
- Null Value Handling: If the column does not allow null values, ensure that you are providing a valid value.
- Consult Documentation: Review any relevant documentation or data model specifications to understand the constraints and requirements for the data being inserted.
- Debugging: If you have access to debugging tools, you can trace the execution to see where the error is being triggered and gather more context about the data being processed.
Related Information:
By following these steps, you should be able to identify the root cause of the error and implement a suitable solution.
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