How To Fix CNV_12000004 - Old value for text &1 field &2 was &3


SAP Error Message - Details

  • Message type: E = Error

  • Message class: CNV_12000 - Messages for shorttext and description conversion

  • Message number: 004

  • Message text: Old value for text &1 field &2 was &3

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  • Self-Explanatory Message

    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.

    To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

    Unfortunately, there isn't any extra information in this error notice.



    What else can you do?

    First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

    Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

    You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.


Smart SAP Assistant

  • What is the cause and solution for SAP error message CNV_12000004 - Old value for text &1 field &2 was &3 ?

    The SAP error message CNV_12000004 typically occurs during data migration or conversion processes, particularly when using the SAP S/4HANA Migration Cockpit or other data migration tools. This error indicates that there is a discrepancy between the old value and the new value for a specific text field during the data transformation process.

    Cause:

    The error message CNV_12000004 is triggered when:

    • The system detects that the old value for a specified text field does not match the expected value during the migration process.
    • There may be inconsistencies in the data being migrated, such as:
      • Data format issues.
      • Missing or incorrect mapping of values.
      • Data integrity issues in the source system.
      • Changes in the data structure or field definitions between the source and target systems.

    Solution:

    To resolve this error, you can take the following steps:

    1. Check Data Mapping: Review the mapping of the fields in the migration template to ensure that the old values are correctly mapped to the new values.

    2. Data Validation: Validate the data in the source system to ensure that it is complete and accurate. Look for any discrepancies or missing values that could cause the error.

    3. Review Migration Logs: Check the migration logs for more detailed information about the error. This can provide insights into which specific records are causing the issue.

    4. Adjust Transformation Rules: If necessary, adjust the transformation rules in the migration tool to accommodate any changes in the data structure or to handle specific cases that may be causing the error.

    5. Test Migration: Perform a test migration with a smaller dataset to identify and resolve any issues before executing the full migration.

    6. Consult Documentation: Refer to SAP documentation or notes related to the specific migration tool you are using for any known issues or additional troubleshooting steps.

    7. Seek Support: If the issue persists, consider reaching out to SAP support or consulting with an SAP expert who can provide assistance based on the specific context of your migration.

    Related Information:

    • SAP Notes: Check for any relevant SAP Notes that may address this specific error or provide additional guidance on data migration issues.
    • Migration Cockpit: Familiarize yourself with the SAP S/4HANA Migration Cockpit and its functionalities, as it provides tools and templates for data migration.
    • Data Quality Tools: Consider using data quality tools to cleanse and prepare your data before migration to minimize errors.

    By following these steps, you should be able to identify the root cause of the CNV_12000004 error and implement a solution to successfully complete your data migration.

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