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Message type: E = Error
Message class: DMC_RT_MSG - DMC: Runtime Object Messages
Message number: 152
Message text: Value &3 of field &1-&2 does not exist in value table &4
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DMC_RT_MSG152
- Value &3 of field &1-&2 does not exist in value table &4 ?The SAP error message DMC_RT_MSG152 indicates that a specific value for a field does not exist in the corresponding value table. This error typically occurs in the context of data migration or data transfer processes, particularly when using the Data Migration Cockpit (DMC) or similar tools.
Cause:
Missing Value in Value Table: The value you are trying to use for a specific field does not exist in the associated value table. This could be due to:
- The value not being created or maintained in the system.
- A typo or incorrect value being used in the data being imported or processed.
- The value table not being properly updated or synchronized with the current data model.
Incorrect Mapping: The mapping between the source data and the target fields may be incorrect, leading to the use of an invalid value.
Configuration Issues: There may be configuration issues in the system that prevent the value from being recognized.
Solution:
Check Value Table: Verify that the value you are trying to use exists in the corresponding value table. You can do this by:
- Using transaction codes like SE11 (Data Dictionary) to check the value table for the specific field.
- Ensuring that the value is correctly defined and active.
Correct the Data: If the value does not exist, you may need to:
- Create the missing value in the value table if it is valid and should exist.
- Correct any typos or errors in the data being imported.
Review Mapping: Check the mapping configuration in the Data Migration Cockpit or the tool you are using to ensure that the source values are correctly mapped to the target fields.
Consult Documentation: Review any relevant documentation or guidelines for the data migration process to ensure compliance with the expected formats and values.
Testing: After making corrections, re-run the data migration or import process to see if the error persists.
Related Information:
By following these steps, you should be able to identify the cause of the error and implement a solution to resolve it.
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