How To Fix PERFTRAC026 - Save performance data; data not saved due to database error


SAP Error Message - Details

  • Message type: E = Error

  • Message class: PERFTRAC - Messages on Global Performance Analysis

  • Message number: 026

  • Message text: Save performance data; data not saved due to database error

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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 PERFTRAC026 - Save performance data; data not saved due to database error ?

    The SAP error message PERFTRAC026 indicates that there was an issue saving performance data due to a database error. This error can occur in various contexts, such as during performance analysis or when trying to log performance metrics in SAP systems.

    Causes:

    1. Database Connectivity Issues: There may be a problem with the connection between the SAP application server and the database.
    2. Database Locking: The database table where the performance data is being saved might be locked by another process.
    3. Insufficient Database Space: The database may have run out of space, preventing new data from being saved.
    4. Database Corruption: There could be corruption in the database that is preventing data from being written.
    5. Configuration Issues: Incorrect configuration settings in the SAP system or database settings may lead to this error.
    6. Performance Issues: High load on the database server may cause timeouts or failures in saving data.

    Solutions:

    1. Check Database Connectivity: Ensure that the SAP system can connect to the database without issues. You can test the connection using transaction codes like DB02 or DBACOCKPIT.
    2. Review Database Locks: Use database tools or transaction codes to check for locks on the relevant tables. If locks are found, identify the processes holding them and resolve the issue.
    3. Monitor Database Space: Check the available space in the database. If it is low, consider archiving old data or increasing the database size.
    4. Database Integrity Check: Run integrity checks on the database to identify and fix any corruption issues.
    5. Review Configuration Settings: Ensure that the SAP and database configurations are correct. This includes checking parameters related to performance data logging.
    6. Performance Monitoring: Monitor the performance of the database server. If it is under heavy load, consider optimizing queries or increasing resources.
    7. Check SAP Notes: Look for any relevant SAP Notes that may address this specific error. SAP frequently releases updates and patches that can resolve known issues.

    Related Information:

    • Transaction Codes: Use transaction codes like SM21 (System Log), ST22 (Dump Analysis), and SM37 (Job Monitoring) to gather more information about the error context.
    • SAP Support: If the issue persists, consider reaching out to SAP Support with detailed logs and error messages for further assistance.
    • Documentation: Review SAP documentation related to performance data logging and database management for best practices and troubleshooting steps.

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

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