How To Fix /PM0/ABY_PP113 - &1 / &2: Incorrect data in database table &3


SAP Error Message - Details

  • Message type: E = Error

  • Message class: /PM0/ABY_PP -

  • Message number: 113

  • Message text: &1 / &2: Incorrect data in database table &3

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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 /PM0/ABY_PP113 - &1 / &2: Incorrect data in database table &3 ?

    The SAP error message /PM0/ABY_PP113 &1 / &2: Incorrect data in database table &3 typically indicates that there is an issue with the data integrity in a specific database table related to the PM (Plant Maintenance) module. This error can arise due to various reasons, such as data corruption, inconsistencies, or incorrect entries in the specified table.

    Cause:

    1. Data Corruption: The data in the specified database table may have been corrupted due to system errors, failed updates, or other issues.
    2. Inconsistent Data: There may be inconsistencies in the data, such as missing or invalid entries that do not meet the expected criteria.
    3. Custom Development: If there are custom programs or enhancements that interact with the database table, they may have introduced incorrect data.
    4. Transport Issues: If data was transported from one system to another, it may not have been properly validated, leading to incorrect entries.

    Solution:

    1. Check the Error Message Details: The error message will typically provide specific details about the parameters &1, &2, and &3. These parameters will help identify the exact nature of the issue and the table involved.
    2. Analyze the Database Table: Use transaction codes like SE11 (Data Dictionary) or SE16 (Data Browser) to examine the contents of the specified database table (&3). Look for any anomalies or incorrect entries.
    3. Data Validation: Validate the data in the table against the expected format and constraints. Check for missing or invalid entries.
    4. Repair Data: If you identify incorrect data, you may need to correct it manually or through a program. Ensure that you have a backup before making any changes.
    5. Check Custom Code: If there are custom developments, review the code to ensure it is not causing the issue. Debugging may be necessary to trace the source of the problem.
    6. Consult SAP Notes: Check the SAP Support Portal for any relevant SAP Notes that may address this specific error message. There may be patches or recommendations available.
    7. System Logs: Review system logs (transaction SM21) for any related errors or warnings that could provide additional context for the issue.
    8. Contact SAP Support: If the issue persists and you cannot resolve it, 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), SM21 (System Log), and ST22 (Dump Analysis).
    • Backup: Always ensure that you have a backup of your data before making any changes to the database.
    • Testing: After making corrections, perform thorough testing to ensure that the issue is resolved and that no new issues have been introduced.

    By following these steps, you should be able to identify and resolve the underlying cause of the error message.

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