How To Fix /PRA/CA_NIMB016 - &1 duplicate records found.


SAP Error Message - Details

  • Message type: E = Error

  • Message class: /PRA/CA_NIMB -

  • Message number: 016

  • Message text: &1 duplicate records 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 /PRA/CA_NIMB016 - &1 duplicate records found. ?

    The SAP error message /PRA/CA_NIMB016 &1 duplicate records found typically indicates that the system has detected duplicate entries in a dataset or table that is being processed. This error is common in scenarios where data integrity is crucial, such as during data uploads, migrations, or when running specific reports.

    Cause:

    1. Duplicate Data Entries: The most common cause is that the data being processed contains duplicate records. This could be due to:

      • Incorrect data entry.
      • Issues during data migration or upload.
      • Data being pulled from multiple sources without proper deduplication.
    2. Configuration Issues: Sometimes, the configuration of the system or the specific transaction might not be set up to handle duplicates correctly.

    3. Business Logic: The business rules defined in the system may not allow for duplicate entries in certain fields or tables.

    Solution:

    1. Identify Duplicates:

      • Use transaction codes like SE16 or SE11 to check the relevant tables for duplicate entries. You can run SQL queries to find duplicates based on the key fields that should be unique.
    2. Data Cleansing:

      • If duplicates are found, you will need to clean the data. This may involve:
        • Deleting or merging duplicate records.
        • Correcting data entry errors.
        • Ensuring that data migration processes include deduplication steps.
    3. Adjust Configuration:

      • Review the configuration settings related to the specific process or transaction that triggered the error. Ensure that it is set up to handle duplicates appropriately if necessary.
    4. Testing:

      • After making changes, test the process again to ensure that the error does not occur.
    5. Consult Documentation:

      • Check SAP documentation or notes related to the specific module or transaction you are working with for any additional guidance on handling duplicates.
    6. Seek Help from SAP Support:

      • If the issue persists and you cannot identify the cause, consider reaching out to SAP support for assistance. They may provide insights specific to your version or configuration.

    Related Information:

    • Transaction Codes: Familiarize yourself with transaction codes like SE16 (Data Browser), SE11 (Data Dictionary), and ST22 (Dump Analysis) to help diagnose and resolve issues.
    • SAP Notes: Search for relevant SAP Notes in the SAP Support Portal that may address this specific error message or provide additional context.
    • Data Governance: Implement data governance practices to prevent duplicate records from being created in the future, such as validation rules during data entry and regular data audits.

    By following these steps, you should be able to resolve the error and prevent it from occurring in the future.

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