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How To Fix DMC_MD_INTERPRETER029 - Value &1 cannot be converted; value must be a positive integer or 0


DMC_MD_INTERPRETER029 - Overview

  • Message type: E = Error

  • Message class: DMC_MD_INTERPRETER - Message of MWB Meta Data Interpreter

  • Message number: 029

  • Message text: Value &1 cannot be converted; value must be a positive integer or 0

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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.


DMC_MD_INTERPRETER029 - Details

  • The SAP error message DMC_MD_INTERPRETER029 indicates that a value being processed cannot be converted because it does not meet the expected criteria of being a positive integer or zero. This error typically arises in the context of data management or data migration processes, particularly when dealing with master data or transactional data in SAP systems.
    
    Cause: Invalid Input Value: The value being processed is either negative, a non-integer (e.g., a decimal or string), or is not formatted correctly. Data Type Mismatch: The system expects a specific data type (e.g., integer) but receives a different type (e.g., string or float). Data Source Issues: The source data may contain erroneous values that do not conform to the expected format. Configuration Errors: There may be issues in the configuration of the data model or data transformation rules that lead to incorrect value assignments.
    Solution: Check Input Values: Review the data being processed to ensure that all values are positive integers

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