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Message type: E = Error
Message class: FDT_EXPRESSIONS - Formula & Derivation Tool: Expressions
Message number: 126
Message text: Unnamed result data object does not fit in result columns
An unnamed result data object is assigned to the decision table. This
normally means that your maintenance UI does not allow you to assign an
explicit result data object and that the result data object is generated
automatically according to the result columns of the decision table.
Here, it seems that the unnamed result data object was either not
generated correctly, or it was changed actively by a user or some other
process. This is not supported.
When you want to activate the decision table, you cannot activate it.
When there is already an activated version of the decision table using
this unnamed result data object, it will probably cause errors during
runtime processing, especially if the result columns of the decision
table are missing in the result data object.
If the user interface allows you to enter a named result object, assign
or create a <ZH>named result object</>. If this is not possible, open
the decision table in maintenance mode, save and activate it again.
During the save, the system automatically adapts the result data object
to the chosen result columns of the decision table.
If the above procedure does not solve the problem, contact SAP.
Error message extract from SAP system. Copyright SAP SE.
FDT_EXPRESSIONS126
- Unnamed result data object does not fit in result columns ?The SAP error message FDT_EXPRESSIONS126 indicates that there is a mismatch between the data structure of a result data object and the expected structure defined in the result columns of a data processing operation, such as a data transformation or data extraction process. This error typically occurs in the context of SAP Data Services or SAP Data Intelligence when working with data flows or data transformations.
Cause:
- Data Type Mismatch: The data type of the unnamed result data object does not match the data type expected by the result columns.
- Column Count Mismatch: The number of columns in the result data object does not match the number of columns defined in the result set.
- Null Values: If the result data object contains null values that are not allowed in the target columns, this can also trigger the error.
- Incorrect Mapping: The mapping between the source and target columns may not be correctly defined, leading to a mismatch in expected data structure.
Solution:
- Check Data Types: Verify that the data types of the result data object match the expected data types of the result columns. Adjust the data types as necessary.
- Verify Column Count: Ensure that the number of columns in the result data object matches the number of columns defined in the result set. If there are extra or missing columns, adjust accordingly.
- Handle Null Values: If null values are causing the issue, ensure that the target columns can accept nulls or provide default values where necessary.
- Review Mapping: Double-check the mapping between the source and target columns to ensure that they are correctly aligned.
- Debugging: Use debugging tools available in SAP Data Services or Data Intelligence to trace the data flow and identify where the mismatch occurs.
Related Information:
By following these steps, you should be able to identify the root cause of the error and implement a solution to resolve it.
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