How To Fix /ISDFPS/LM_PM_ADDON182 - Flight &: Duplicate data records are ignored


SAP Error Message - Details

  • Message type: E = Error

  • Message class: /ISDFPS/LM_PM_ADDON -

  • Message number: 182

  • Message text: Flight &: Duplicate data records are ignored

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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 /ISDFPS/LM_PM_ADDON182 - Flight &: Duplicate data records are ignored ?

    The SAP error message /ISDFPS/LM_PM_ADDON182 Flight &: Duplicate data records are ignored typically indicates that there are duplicate entries in the data being processed, which the system is set to ignore to maintain data integrity. This error is often encountered in the context of data uploads or integrations, particularly in modules related to flight management or logistics.

    Cause:

    1. Duplicate Records: The primary cause of this error is the presence of duplicate records in the dataset being processed. This could be due to:

      • Data entry errors.
      • Issues in the data extraction process.
      • Incorrect configurations in the data upload templates.
    2. Data Source Issues: If the data is being pulled from an external source, there may be duplicates in the source data itself.

    3. Configuration Settings: The system may be configured to reject or ignore duplicates based on specific criteria.

    Solution:

    1. Identify Duplicates:

      • Review the dataset being uploaded or processed to identify duplicate records. This can often be done using data analysis tools or by exporting the data to a spreadsheet for easier manipulation.
    2. Clean the Data:

      • Remove or consolidate duplicate entries in the dataset before attempting to upload or process it again. Ensure that each record is unique based on the relevant key fields.
    3. Check Data Source:

      • If the data is coming from an external source, ensure that the source data is clean and does not contain duplicates.
    4. Adjust Configuration:

      • If applicable, review the configuration settings in SAP that govern how duplicates are handled. Depending on the business requirements, you may want to change the settings to allow for duplicates or to handle them differently.
    5. Testing:

      • After cleaning the data and making any necessary adjustments, re-test the upload or processing to ensure that the error does not occur again.

    Related Information:

    • SAP Notes: Check SAP Notes for any known issues or patches related to this error message. SAP frequently updates its knowledge base with solutions for common problems.
    • Documentation: Review the documentation for the specific module you are working with (e.g., Flight Management, Logistics) to understand how it handles data records and duplicates.
    • Support: If the issue persists after taking the above steps, consider reaching out to SAP support or your internal IT team for further assistance.

    By following these steps, you should be able to resolve the error and ensure that your data processing runs smoothly.

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