How To Fix CNV10300057 - Value &1 was not found in value table &2 for domain &3


SAP Error Message - Details

  • Message type: E = Error

  • Message class: CNV10300 - Message class for development class CNV_10300

  • Message number: 057

  • Message text: Value &1 was not found in value table &2 for domain &3

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  • Self-Explanatory Message

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Smart SAP Assistant

  • What is the cause and solution for SAP error message CNV10300057 - Value &1 was not found in value table &2 for domain &3 ?

    The SAP error message CNV10300057 indicates that a specific value (represented by &1) was not found in the corresponding value table (represented by &2) for a given domain (represented by &3). This error typically occurs during data migration or conversion processes, particularly when using SAP's Data Migration tools or during the execution of conversion programs.

    Cause:

    1. Missing Value: The value you are trying to insert or convert does not exist in the specified value table. This can happen if the data being migrated is not aligned with the expected values in the target system.
    2. Incorrect Mapping: There may be an issue with the mapping of values from the source system to the target system, leading to attempts to insert values that are not valid in the target domain.
    3. Configuration Issues: The value table may not be properly configured or may have been modified, leading to discrepancies in expected values.
    4. Data Quality Issues: The source data may contain invalid or unexpected values that do not correspond to the defined domain values in the target system.

    Solution:

    1. Check Value Table: Verify the contents of the value table (&2) in the target system to ensure that the value (&1) you are trying to use is indeed missing. You can do this by using transaction codes like SE11 (Data Dictionary) to view the table.
    2. Update Value Table: If the value is valid and should exist, consider adding it to the value table. This may involve updating configuration settings or customizing the value table to include the necessary values.
    3. Review Mapping: Check the mapping logic used during the data migration process. Ensure that the source values are correctly mapped to valid target values.
    4. Data Cleansing: If the source data contains invalid values, perform data cleansing to correct or remove these values before attempting the migration again.
    5. Consult Documentation: Review any relevant SAP documentation or notes related to the specific migration or conversion process you are using, as there may be additional guidance or known issues.

    Related Information:

    • Transaction Codes: SE11 (Data Dictionary), SE37 (Function Module), ST22 (Dump Analysis), SM21 (System Log).
    • SAP Notes: Check SAP Notes for any known issues or patches related to the specific error message or the migration tool you are using.
    • Data Migration Tools: Familiarize yourself with the specific data migration tools or programs being used, as they may have specific requirements or configurations that need to be adhered to.

    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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