How To Fix MDQ_DATA_IMPORT007 - Rule violation record exists (evaluation run &1, object ID &2, rule &3).

SAP Error Message - Details

• Message type: E = Error

• Message class: MDQ_DATA_IMPORT -

• Message number: 007

• Message text: Rule violation record exists (evaluation run &1, object ID &2, rule &3).

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.

What else can you do?

First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.

Smart SAP Assistant

• What is the cause and solution for SAP error message MDQ_DATA_IMPORT007 - Rule violation record exists (evaluation run &1, object ID &2, rule &3). ?

  The SAP error message MDQ_DATA_IMPORT007 indicates that there is a rule violation in the context of data import for Master Data Governance (MDG). This error typically occurs during the evaluation run of data import processes when the system detects that a record does not comply with the defined business rules.
  Cause:
  The error message is triggered when:
  
  Rule Violation: The data being imported does not meet the validation criteria set by the business rules in the MDG system. This could be due to missing mandatory fields, incorrect data formats, or logical inconsistencies.
  Existing Records: There may be existing records in the system that conflict with the new data being imported, leading to a violation of the defined rules.
  Configuration Issues: The rules themselves may be incorrectly configured or not aligned with the data being processed.
  
  Solution:
  To resolve the MDQ_DATA_IMPORT007 error, you can follow these steps:
  
  Review the Evaluation Run: Check the evaluation run specified in the error message (indicated by &1). This will provide insights into which records are causing the violation.
  Identify the Object ID: Look at the object ID mentioned in the error message (indicated by &2) to pinpoint the specific record that is causing the issue.
  Check the Rule: Analyze the rule that is causing the violation (indicated by &3). Understand the conditions of the rule and how the data being imported fails to meet these conditions.
  Correct the Data: Modify the data being imported to ensure it complies with the business rules. This may involve:
  
  Filling in missing mandatory fields.
  Correcting data formats.
  Ensuring logical consistency with existing records.
  
  
  Test the Import: After making the necessary corrections, re-run the import process to see if the error persists.
  Consult Documentation: Refer to SAP documentation or help resources for specific details on the rules and how to configure them properly.
  
  Related Information:
  
  MDG Configuration: Familiarize yourself with the configuration settings in the MDG system, especially those related to data validation and business rules.
  SAP Notes: Check for any relevant SAP Notes that may address known issues or provide additional guidance on handling this error.
  Logs and Traces: Review system logs and traces for more detailed error messages that can provide further context on the violation.
  Collaboration with Business Users: Engage with business users or data stewards to understand the business context of the rules and the data being imported.
  
  By following these steps, you should be able to identify the root cause of the error and implement the necessary corrections to successfully import the data.