How To Fix /IAM/OBJECT_INT130 - Extraction error: Conversion of field &1 (value &2) to &3-&4 failed


SAP Error Message - Details

  • Message type: E = Error

  • Message class: /IAM/OBJECT_INT -

  • Message number: 130

  • Message text: Extraction error: Conversion of field &1 (value &2) to &3-&4 failed

  • Show details Hide details


  • 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 /IAM/OBJECT_INT130 - Extraction error: Conversion of field &1 (value &2) to &3-&4 failed ?

    The SAP error message /IAM/OBJECT_INT130 Extraction error: Conversion of field &1 (value &2) to &3-&4 failed typically indicates that there is an issue with data conversion during the extraction process in the SAP system. This error can occur in various contexts, such as during data extraction for reporting, data migration, or integration processes.

    Cause:

    1. Data Type Mismatch: The value in the field cannot be converted to the target data type. For example, trying to convert a string that contains non-numeric characters into a numeric type.
    2. Invalid Data Format: The value may not conform to the expected format for the target data type (e.g., date formats, decimal separators).
    3. Null or Empty Values: If the source field is null or empty, and the target field does not allow nulls, this can lead to conversion errors.
    4. Inconsistent Data: The data in the source field may be inconsistent or corrupted, leading to conversion failures.

    Solution:

    1. Check Data Types: Verify the data types of the source and target fields. Ensure that the data being extracted matches the expected format and type.
    2. Data Cleansing: Clean the data in the source field to ensure it conforms to the expected format. This may involve removing non-numeric characters, correcting date formats, or handling null values appropriately.
    3. Error Handling: Implement error handling in your extraction logic to manage cases where conversion fails. This could involve logging the error and skipping the problematic records or providing default values.
    4. Debugging: Use debugging tools in SAP to trace the extraction process and identify the specific record causing the error. This can help you understand the nature of the data issue.
    5. Consult Documentation: Review SAP documentation or notes related to the specific extraction process you are using, as there may be known issues or additional configuration steps required.

    Related Information:

    • Transaction Codes: You may want to use transaction codes like SE11 (Data Dictionary) to check the structure of the tables involved, or SE37 (Function Module) to analyze the function modules used in the extraction.
    • SAP Notes: Check SAP Notes for any known issues related to the specific version of SAP you are using. SAP frequently releases notes that address bugs or provide guidance on common issues.
    • Data Migration Tools: If you are using tools like SAP Data Services or SAP BW, refer to their specific documentation for handling data extraction and transformation errors.

    By addressing the underlying data issues and ensuring proper data type compatibility, you should be able to resolve the extraction error.

    • Do you have any question about this error?


      Upgrade now to chat with this error.


Instant HelpGet instant SAP help. Start your 7-day free trial now.


Related SAP Error Messages

Click the links below to see the following related messages:

Click on this link to search all SAP messages.


Rating
ERPlingo's SAP support assistant is amazing. Saves me countless hours trying to solve complex SAP issues myself. It's a real game changer!
Rate 1
Thomas Michael
SAP Consultant, Author & Speaker