How To Fix /FLDQ/AD_TECH_ERRORS561 - Insufficient or excess records returned from Data Services.

SAP Error Message - Details

• Message type: E = Error

• Message class: /FLDQ/AD_TECH_ERRORS -

• Message number: 561

• Message text: Insufficient or excess records returned from Data Services.

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 /FLDQ/AD_TECH_ERRORS561 - Insufficient or excess records returned from Data Services. ?

  The SAP error message /FLDQ/AD_TECH_ERRORS561 indicates that there is an issue with the number of records returned from Data Services during a data extraction or transformation process. This error typically arises when the expected number of records does not match the actual number of records returned, leading to either an insufficient or excess number of records.
  Causes:
  
  Data Quality Issues: The source data may have inconsistencies, duplicates, or missing records that lead to unexpected results.
  Transformation Logic Errors: The logic defined in the Data Services job may not be correctly implemented, causing it to filter or transform records incorrectly.
  Configuration Issues: Incorrect settings in the Data Services job or the connection to the source system may lead to improper data retrieval.
  Network or Connectivity Problems: Temporary network issues can cause incomplete data transfers.
  Database Constraints: Constraints in the database (like primary keys or unique constraints) may prevent certain records from being returned.
  
  Solutions:
  
  Review Data Quality: Check the source data for any inconsistencies or issues that may lead to unexpected results. Clean the data if necessary.
  Check Transformation Logic: Review the transformation logic in the Data Services job to ensure it is correctly implemented. Make sure that filters and joins are set up as intended.
  Validate Configuration: Ensure that the Data Services job is configured correctly, including connection settings and parameters.
  Monitor Network Connectivity: Check for any network issues that may have affected data retrieval. Ensure stable connectivity to the source system.
  Adjust Job Parameters: If the job is designed to return a specific number of records, consider adjusting the parameters to accommodate variations in the data.
  Error Handling: Implement error handling in the Data Services job to manage unexpected results more gracefully.
  
  Related Information:
  
  SAP Data Services Documentation: Refer to the official SAP Data Services documentation for detailed information on error handling and best practices.
  SAP Community: Engage with the SAP Community forums to see if other users have encountered similar issues and how they resolved them.
  Logs and Traces: Check the logs and traces generated by Data Services for more detailed error messages that can provide insights into the root cause of the issue.
  
  By following these steps, you should be able to identify the cause of the error and implement a solution to resolve it.