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How To Fix UMG251 - Invalid Records were deleted from table pool


SAP Error Message - Details

  • Message type: E = Error

  • Message class: UMG - Message Class for the Unicode Migration Tool.

  • Message number: 251

  • Message text: Invalid Records were deleted from table pool

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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 UMG251 - Invalid Records were deleted from table pool ?

    The SAP error message UMG251, which states "Invalid Records were deleted from table pool," typically occurs in the context of SAP's data management and database operations. This error is often related to issues with the data consistency in the database tables, particularly when dealing with table pools or cluster tables.

    Cause:

    1. Data Inconsistency: The error usually arises when there are inconsistencies in the data stored in the table pool. This can happen due to various reasons, such as:

      • Manual data manipulation that violates referential integrity.
      • Issues during data migration or data uploads.
      • Corruption of data due to system errors or bugs.
    2. Invalid Records: The system identifies certain records as invalid, which may be due to missing or incorrect keys, or records that do not meet the defined criteria for validity.

    3. Database Locking Issues: Sometimes, if multiple processes are trying to access or modify the same records simultaneously, it can lead to inconsistencies.

    Solution:

    1. Check Data Integrity: Review the data in the affected table pool to identify any inconsistencies or invalid records. You can use transaction codes like SE11 (Data Dictionary) or SE16 (Data Browser) to inspect the data.

    2. Reprocess Data: If the invalid records were caused by a data upload or migration, consider reprocessing the data. Ensure that the data being uploaded adheres to the required formats and constraints.

    3. Use SAP Tools: Utilize SAP tools such as:

      • DB02: To check database performance and integrity.
      • SLG1: To check application logs for any related errors that might provide more context.
    4. Consult SAP Notes: Search for relevant SAP Notes in the SAP Support Portal that might address this specific error. There may be patches or updates that resolve known issues related to this error.

    5. Database Administration: If the issue persists, it may require intervention from a database administrator to check for corruption or other underlying issues in the database.

    6. Contact SAP Support: If you are unable to resolve the issue, consider reaching out to SAP Support for assistance. Provide them with detailed information about the error, including any logs or screenshots.

    Related Information:

    • Transaction Codes: Familiarize yourself with relevant transaction codes such as SE11, SE16, and DB02 for data inspection and analysis.
    • SAP Documentation: Review SAP documentation related to table pools and cluster tables to understand their structure and constraints better.
    • Data Management Best Practices: Implement best practices for data management to prevent similar issues in the future, such as regular data audits and validation checks.

    By following these steps, you should be able to diagnose and resolve the UMG251 error effectively.

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