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.

Unfortunately, there isn't any extra information in this error notice.

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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