How To Fix /SAPAPO/PDEM231 - Data not found in table &1


SAP Error Message - Details

  • Message type: E = Error

  • Message class: /SAPAPO/PDEM -

  • Message number: 231

  • Message text: Data not found in table &1

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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 /SAPAPO/PDEM231 - Data not found in table &1 ?

    The SAP error message /SAPAPO/PDEM231 Data not found in table &1 typically occurs in the context of SAP Advanced Planning and Optimization (APO) when the system is unable to find the required data in a specific table. This can happen for various reasons, and understanding the cause and potential solutions can help resolve the issue.

    Cause:

    1. Missing Data: The most common cause is that the data expected in the specified table (indicated by &1) is not present. This could be due to data not being loaded, deleted, or not being created in the first place.
    2. Incorrect Configuration: There may be configuration issues in the APO system that prevent the data from being generated or displayed correctly.
    3. Data Transfer Issues: If data is supposed to be transferred from another system (like SAP ERP), there may be issues in the data transfer process.
    4. Authorization Issues: Sometimes, the user may not have the necessary authorizations to view the data in the specified table.
    5. System Errors: There could be underlying system errors or inconsistencies that are causing the data retrieval to fail.

    Solution:

    1. Check Data Existence: Verify if the data exists in the specified table. You can do this by using transaction codes like SE11 (Data Dictionary) or SE16 (Data Browser) to check the contents of the table.
    2. Data Load: If the data is missing, ensure that the relevant data load processes (like CIF integration from SAP ERP to APO) have been executed successfully. Check for any errors in the data transfer logs.
    3. Configuration Review: Review the configuration settings in APO to ensure that everything is set up correctly for the data you are trying to access.
    4. Authorization Check: Ensure that the user has the necessary authorizations to access the data in the specified table.
    5. System Logs: Check the system logs (transaction SLG1) for any related error messages that might provide more context on the issue.
    6. Consult Documentation: Refer to SAP documentation or notes related to the specific table and error message for additional insights or known issues.
    7. Contact Support: If the issue persists and you cannot identify the cause, consider reaching out to SAP support for assistance.

    Related Information:

    • Transaction Codes: Familiarize yourself with relevant transaction codes such as:
      • SE11: Data Dictionary
      • SE16: Data Browser
      • SLG1: Application Log
    • SAP Notes: Search for SAP Notes related to the error message for any patches or updates that may address the issue.
    • APO Documentation: Review the APO documentation for best practices on data management and troubleshooting.

    By following these steps, you should be able to identify the cause of the error and implement a solution to resolve it.

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