How To Fix CNV_00001312 - Field &1 cannot be aggregated (either key field or wrong data type)

SAP Error Message - Details

• Message type: E = Error

• Message class: CNV_00001 - Message class for CWB settings maintenance programs

• Message number: 312

• Message text: Field &1 cannot be aggregated (either key field or wrong data type)

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message CNV_00001312 - Field &1 cannot be aggregated (either key field or wrong data type) ?

  The SAP error message CNV_00001312 indicates that there is an issue with data aggregation in a conversion or migration process. Specifically, the error states that a field cannot be aggregated because it is either a key field or has the wrong data type. Here’s a breakdown of the cause, potential solutions, and related information:
  Cause
  
  
  Key Field: The field in question may be a key field in the database, which means it is used to uniquely identify records. Key fields cannot be aggregated because aggregation requires combining multiple records into a single value, which is not possible with unique identifiers.
  
  
  Wrong Data Type: The field may have a data type that is incompatible with aggregation functions. For example, trying to aggregate a string field or a field that contains non-numeric data using a numeric aggregation function (like SUM) will lead to this error.
  
  
  Solutions
  
  
  Review Field Definitions: Check the field definitions in the source and target systems. Ensure that the field you are trying to aggregate is not a key field. If it is, consider whether aggregation is necessary or if you need to change your approach.
  
  
  Change Data Type: If the field is not a key field but has the wrong data type, you may need to convert the data type to a compatible one. For example, if you are trying to sum values, ensure that the field is of a numeric type.
  
  
  Modify Aggregation Logic: If the field is indeed a key field and you need to perform some form of aggregation, consider modifying your logic. You might need to aggregate on a different field that is not a key field or rethink the aggregation strategy.
  
  
  Data Cleansing: Ensure that the data being processed does not contain unexpected values that could lead to type mismatches. For example, if you expect numeric values, check for any non-numeric entries.
  
  
  Consult Documentation: Refer to SAP documentation or notes related to the specific migration or conversion process you are using. There may be specific guidelines or best practices for handling such errors.
  
  
  Related Information
  
  SAP Notes: Check for any relevant SAP Notes that might address this specific error or provide additional context on handling data migration issues.
  Data Migration Tools: If you are using specific SAP tools for data migration (like SAP Data Services or SAP S/4HANA Migration Cockpit), consult the documentation for those tools for best practices and troubleshooting tips.
  Testing: Before running large-scale migrations, conduct tests with smaller datasets to identify potential issues early in the process.
  
  By addressing the underlying cause of the error, you can implement the appropriate solution and successfully complete your data migration or conversion task.