How To Fix RSDS304 - Cancellation by User

SAP Error Message - Details

• Message type: E = Error

• Message class: RSDS - New DataSource

• Message number: 304

• Message text: Cancellation by User

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.

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Smart SAP Assistant

• What is the cause and solution for SAP error message RSDS304 - Cancellation by User ?

  The SAP error message RSDS304, which states "Cancellation by User," typically occurs in the context of data extraction processes, particularly when a user manually cancels a data extraction job or process in SAP BW (Business Warehouse) or SAP BI (Business Intelligence).
  Cause:
  
  User Intervention: The most common cause is that the user has manually canceled the data extraction process. This can happen if the extraction is taking too long, or if the user realizes that the extraction is not needed.
  System Performance Issues: If the system is slow or unresponsive, users may choose to cancel the process.
  Job Scheduling Conflicts: If multiple jobs are scheduled to run simultaneously and they conflict with each other, a user might cancel one of them.
  Data Quality Issues: If the user identifies data quality issues during the extraction process, they may decide to cancel the job.
  
  Solution:
  
  Check Job Status: Review the status of the job in the SAP system to confirm that it was indeed canceled by the user.
  Analyze Logs: Look at the job logs to understand why the cancellation occurred. This can provide insights into whether it was due to performance issues or other factors.
  Optimize Performance: If performance is an issue, consider optimizing the data extraction process. This could involve:
  
  Reducing the volume of data being extracted.
  Scheduling jobs during off-peak hours.
  Improving the underlying database performance.
  
  
  User Training: Ensure that users are trained on how to manage data extraction processes effectively and understand the implications of canceling jobs.
  Retry the Extraction: If the cancellation was unintentional or due to a temporary issue, you may need to restart the extraction process.
  Monitor System Resources: Keep an eye on system resources (CPU, memory, etc.) to ensure that the system can handle the load during data extraction.
  
  Related Information:
  
  Transaction Codes: You can use transaction codes like SM37 to monitor job statuses and RSRT for analyzing queries.
  SAP Notes: Check SAP Notes for any known issues or patches related to data extraction processes.
  Documentation: Refer to SAP documentation for best practices in data extraction and performance tuning.
  
  If the issue persists or if you need further assistance, consider reaching out to your SAP Basis or BW team for more in-depth troubleshooting.