Error
Error Code:
5149
SAP S/4HANA Error 5149: Data Type Mismatch
Description
This error indicates that an attempt was made to assign a value of one data type to a field expecting a different data type within SAP S/4HANA. It commonly occurs during data entry, data import, or when custom developments interact with standard fields, leading to an incompatibility that prevents the operation from completing.
Error Message
ERR_TEXT_COMMON_TYPE_MISMATCH_IN_SET_FIELD
Known Causes
3 known causesIncorrect Manual Data Entry
A user inputs data into a field in a format that does not match its defined data type, such as entering text into a numeric-only field.
Data Import/Migration Format Mismatch
When importing data from external sources, the data types in the source file or system do not align with the expected field types in SAP S/4HANA.
Custom Development/Configuration Conflict
Custom ABAP code, Fiori extensions, or specific configuration settings attempt to set a field with a value of an incompatible data type.
Solutions
3 solutions available1. Verify Field Data Types in ABAP Code medium
Ensure that the data types used in ABAP programs match the underlying database field types.
1
Identify the ABAP program or function module that is raising the error. You can often find this information in the system logs (e.g., SM21) or by debugging the transaction that triggers the error.
2
Examine the ABAP code where the problematic field is being set or manipulated. Pay close attention to variable declarations and assignments.
DATA: lv_field_value TYPE <expected_type>.
" ... code that sets lv_field_value ...
" Check if the <expected_type> matches the database table field type.3
Compare the data type of the ABAP variable with the data type of the corresponding database table field. You can check database field types using transaction SE11 (ABAP Dictionary).
4
If there's a mismatch, adjust the ABAP variable's data type to match the database field's data type. This might involve changing the type declaration or using type conversions.
DATA: lv_field_value TYPE <database_field_type>.
" ... code that sets lv_field_value ...5
Activate the corrected ABAP program or function module. Test the transaction again to confirm the error is resolved.
2. Correct Data Type in Custom Table Definitions medium
Review and rectify data type discrepancies in custom database tables created in S/4HANA.
1
Access the ABAP Dictionary using transaction SE11.
2
Enter the name of the custom table that is involved in the error and select 'Display'.
3
Navigate to the 'Fields' tab and carefully review the data types of all fields. Pay special attention to the field that is causing the 'ERR_TEXT_COMMON_TYPE_MISMATCH_IN_SET_FIELD' error.
4
Compare these data types with the expected data types from the business requirements or the source system if this is a migration scenario.
5
If a data type mismatch is found, modify the field's data type. Be aware that changing data types on existing tables can have implications for existing data. Consider data conversion strategies if necessary.
6
Save and activate the table. If the table has active data, you might need to perform a table conversion (SE14) after activation.
7
Test the functionality that interacts with this table to ensure the issue is resolved.
3. Analyze Data Loading/Integration Processes advanced
Investigate data loading or integration processes that might be introducing incorrect data types.
1
Determine if the error occurs during a specific data load or integration process (e.g., SAP BW/4HANA to S/4HANA, third-party ETL tools, API integrations).
2
Review the mapping definitions and transformation rules used in the data loading or integration tool. Ensure that data types are correctly mapped between the source and target systems.
3
Examine the source data itself. Verify that the data being provided to S/4HANA has the expected format and data types.
4
If using SAP Data Services or similar tools, check the metadata and data type definitions within the tool. Ensure consistency with S/4HANA.
5
Implement data validation checks within the integration process to catch and reject records with incorrect data types before they reach S/4HANA.
6
Re-run the data load or integration process after correcting the mapping or source data. Monitor the process for any recurring errors.