How To Fix /ISDFPS/OM427 - More than 1000 data records were found


SAP Error Message - Details

  • Message type: E = Error

  • Message class: /ISDFPS/OM -

  • Message number: 427

  • Message text: More than 1000 data records were found

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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/OM427 - More than 1000 data records were found ?

    The SAP error message /ISDFPS/OM427 More than 1000 data records were found typically occurs in the context of data retrieval or processing within the SAP system, particularly when dealing with large datasets. This error indicates that a query or operation has returned more than 1000 records, which exceeds the limit set for processing in a single operation.

    Cause:

    1. Data Volume: The primary cause of this error is that the query or operation is attempting to retrieve or process more than 1000 records at once.
    2. System Configuration: The system may have a default limit set for the maximum number of records that can be processed in a single request.
    3. Inefficient Query: The query being executed may not be optimized, leading to an excessive number of records being returned.

    Solution:

    1. Limit the Data Retrieval:

      • Modify the query to include filters that reduce the number of records returned. For example, you can add date ranges, specific criteria, or other parameters to narrow down the results.
    2. Pagination:

      • Implement pagination in your data retrieval logic. Instead of fetching all records at once, retrieve them in smaller batches (e.g., 100 records at a time).
    3. Adjust System Settings:

      • If appropriate, consult with your SAP Basis or system administrator to see if the limit can be increased. However, this is generally not recommended as it can lead to performance issues.
    4. Optimize Queries:

      • Review and optimize the underlying queries to ensure they are efficient and only return the necessary data.
    5. Use Background Processing:

      • If applicable, consider using background jobs for processing large datasets, which can handle larger volumes of data without hitting the same limits.

    Related Information:

    • Transaction Codes: Depending on the context, you may be using specific transaction codes related to data processing or reporting. Familiarize yourself with the relevant transaction codes and their capabilities.
    • SAP Notes: Check SAP Notes for any known issues or updates related to this error message. SAP frequently releases notes that may provide additional context or solutions.
    • Performance Monitoring: Monitor system performance when executing large queries to ensure that the system can handle the load without impacting other operations.

    If the issue persists after trying the above solutions, it may be beneficial to consult with your SAP support team or a technical consultant who can provide more tailored assistance based on your specific SAP environment and configuration.

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