How To Fix AUT067 - Expect large data volumes


SAP Error Message - Details

  • Message type: E = Error

  • Message class: AUT - Messages for Enhancement for Audit Trails

  • Message number: 067

  • Message text: Expect large data volumes

  • Show details Hide details
  • What causes this issue?

    Table &V1& belongs to the largest data category. A large data volume can
    be expected for this table.

    System Response

    The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

    How to fix this error?

    Check whether logging is relevant for this table.
    After activating logging for table &V1&, check the data growth of log
    table DBTABLOG and, if necessary, schedule regular archiving runs for
    table DBTABLOG.

    Procedure for System Administrators


    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message AUT067 - Expect large data volumes ?

    The SAP error message AUT067, which states "Expect large data volumes," typically occurs in scenarios where the system anticipates processing a significant amount of data, but the configuration or the environment may not be optimized to handle such volumes efficiently. This can lead to performance issues or even failures in data processing tasks.

    Causes:

    1. Data Volume Exceeds Limits: The volume of data being processed exceeds the expected limits set in the system configuration.
    2. System Configuration: The system may not be configured to handle large data volumes, leading to performance bottlenecks.
    3. Resource Limitations: Insufficient system resources (CPU, memory, disk space) can cause issues when processing large datasets.
    4. Inefficient Queries: Poorly optimized queries or data retrieval methods can exacerbate the problem when dealing with large datasets.
    5. Batch Processing Settings: If batch processing settings are not configured correctly, it may lead to issues when processing large volumes of data.

    Solutions:

    1. Optimize System Configuration:

      • Review and adjust system parameters related to memory allocation, buffer sizes, and data processing limits.
      • Ensure that the system is configured to handle the expected data volumes.
    2. Increase System Resources:

      • If possible, allocate more CPU, memory, or disk space to the SAP system to handle larger data volumes.
      • Consider scaling up the infrastructure if the current setup is insufficient.
    3. Optimize Queries:

      • Review and optimize any queries or data retrieval methods to ensure they are efficient and can handle large datasets.
      • Use indexing and other database optimization techniques to improve performance.
    4. Batch Processing:

      • If applicable, break down large data processing tasks into smaller batches to avoid overwhelming the system.
      • Adjust batch size settings to find a balance that the system can handle without issues.
    5. Monitoring and Logging:

      • Implement monitoring tools to track system performance and identify bottlenecks when processing large volumes of data.
      • Review logs for any additional error messages or warnings that may provide more context on the issue.
    6. Consult SAP Notes:

      • Check the SAP Support Portal for any relevant SAP Notes or updates that may address this specific error message or provide additional guidance.

    Related Information:

    • SAP Documentation: Refer to the official SAP documentation for guidelines on performance tuning and data volume management.
    • SAP Community: Engage with the SAP Community forums to seek advice from other users who may have encountered similar issues.
    • Performance Tuning Guides: Look for performance tuning guides specific to your SAP version and modules in use.

    By addressing the underlying causes and implementing the suggested solutions, you can mitigate the impact of the AUT067 error and improve the system's ability to handle large data volumes effectively.

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