How To Fix S_AUT067 - High volume of data likely

SAP Error Message - Details

• Message type: E = Error

• Message class: S_AUT - Audit Trail (ILM): Messages

• Message number: 067

• Message text: High volume of data likely

What causes this issue?

Table &V1& belongs to the largest database category. A high volume of
data is 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 to this table.
After activating the logging of table &V1&, check the growth in data of
the log table DBTABLOG and, if necessary, schedule regular archiving
runs for this table.

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 S_AUT067 - High volume of data likely ?

  The SAP error message S_AUT067, which indicates "High volume of data likely," typically occurs when a query or report is expected to return a large dataset. This can lead to performance issues, such as long processing times or even system timeouts. Here’s a breakdown of the cause, potential solutions, and related information:
  Cause:
  
  Large Dataset: The query or report is attempting to process a large volume of records, which can overwhelm the system's resources.
  Inefficient Query Design: The query may not be optimized, leading to unnecessary data retrieval.
  System Limitations: The SAP system may have limitations on the amount of data it can handle in a single query or report.
  User Settings: User-specific settings or filters may not be applied, resulting in the retrieval of more data than intended.
  
  Solutions:
  
  
  Refine the Query:
  
  Add Filters: Narrow down the data selection by applying filters based on date ranges, specific criteria, or other relevant parameters.
  Use Aggregation: Instead of retrieving detailed records, consider using aggregated data (e.g., totals, averages) to reduce the volume of data returned.
  
  
  
  Optimize Performance:
  
  Indexing: Ensure that the database tables involved in the query are properly indexed to improve retrieval times.
  Review Joins: If the query involves multiple tables, review the joins to ensure they are necessary and efficient.
  
  
  
  Batch Processing:
  
  If possible, break the query into smaller batches to process data incrementally rather than all at once.
  
  
  
  Increase System Resources:
  
  If the issue persists and is a common occurrence, consider discussing with your IT department about increasing system resources (e.g., memory, processing power) to handle larger datasets.
  
  
  
  Use Background Processing:
  
  For reports that are expected to return large datasets, consider running them in the background. This allows the system to process the data without impacting the user interface.
  
  
  
  Consult SAP Notes:
  
  Check the SAP Support Portal for any relevant SAP Notes or updates that may address this specific error or provide additional guidance.
  
  
  
  Related Information:
  
  Transaction Codes: Familiarize yourself with transaction codes like SE11 (Data Dictionary), SE80 (Object Navigator), and ST22 (Dump Analysis) to analyze and optimize queries.
  Performance Monitoring: Use transaction ST03N to monitor system performance and identify bottlenecks related to specific queries or reports.
  User Training: Ensure that users are trained on how to effectively use filters and parameters in reports to avoid retrieving excessive data.
  
  By addressing the underlying causes and implementing the suggested solutions, you can mitigate the occurrence of the S_AUT067 error and improve overall system performance.