How To Fix /SCMTMS/EXTRACTORS032 - Read of data of setup table &1 has been stopped to avoid memory overflow.

SAP Error Message - Details

• Message type: E = Error

• Message class: /SCMTMS/EXTRACTORS -

• Message number: 032

• Message text: Read of data of setup table &1 has been stopped to avoid memory overflow.

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message /SCMTMS/EXTRACTORS032 - Read of data of setup table &1 has been stopped to avoid memory overflow. ?

  The SAP error message /SCMTMS/EXTRACTORS032 indicates that the system has stopped reading data from a setup table to prevent memory overflow. This typically occurs in the context of SAP Transportation Management (TM) when the system attempts to extract a large volume of data, which can lead to performance issues or memory exhaustion.
  Cause:
  
  Large Data Volume: The primary cause of this error is that the setup table being accessed contains a large amount of data, which exceeds the memory limits set for the extraction process.
  Insufficient Memory Allocation: The system may not have enough memory allocated for the extraction process, leading to a halt in data reading.
  Inefficient Queries: The queries or extraction logic may not be optimized, causing excessive data to be processed at once.
  
  Solution:
  
  
  Limit Data Volume: 
  
  If possible, apply filters to limit the amount of data being extracted. This can be done by specifying selection criteria that reduce the dataset size.
  
  
  
  Increase Memory Allocation:
  
  Check the memory settings in your SAP system. You may need to increase the memory allocation for the relevant processes. This can be done by adjusting the instance profile parameters (e.g., abap/heap_area_total).
  
  
  
  Optimize Queries:
  
  Review and optimize the queries or extraction logic to ensure they are efficient. This may involve indexing the database tables or rewriting the extraction logic to minimize the data processed at once.
  
  
  
  Batch Processing:
  
  If the data volume is inherently large, consider implementing batch processing. This involves breaking down the extraction into smaller, manageable chunks that can be processed sequentially.
  
  
  
  Monitor System Performance:
  
  Use transaction codes like ST02 (Tune Summary) and ST03N (Workload Analysis) to monitor memory usage and performance. This can help identify bottlenecks and areas for improvement.
  
  
  
  Consult SAP Notes:
  
  Check for any relevant SAP Notes that may address this specific error or provide guidance on best practices for data extraction in SAP TM.
  
  
  
  Related Information:
  
  Transaction Codes: Familiarize yourself with relevant transaction codes such as /SCMTMS/EXTRACTORS for managing extractors and monitoring their performance.
  SAP Documentation: Review the official SAP documentation for Transportation Management to understand the data model and best practices for data extraction.
  Support: If the issue persists after trying the above solutions, consider reaching out to SAP Support for further assistance, providing them with detailed logs and system information.
  
  By addressing the underlying causes and implementing the suggested solutions, you should be able to resolve the memory overflow issue and successfully extract the required data.