How To Fix CNV_DMC_MC_EXCEPTION172 - &1-&2: Source field and target field have different data types

SAP Error Message - Details

• Message type: E = Error

• Message class: CNV_DMC_MC_EXCEPTION - Exception texts of Migration Object Modeller

• Message number: 172

• Message text: &1-&2: Source field and target field have different data types

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message CNV_DMC_MC_EXCEPTION172 - &1-&2: Source field and target field have different data types ?

  The SAP error message CNV_DMC_MC_EXCEPTION172 indicates that there is a mismatch between the data types of the source field and the target field during a data migration or conversion process. This error typically occurs in the context of using the SAP Data Migration Cockpit (DMC) or during data transfer processes where data from one system is being mapped to another.
  Cause:
  The primary cause of this error is that the data type of a field in the source system does not match the data type of the corresponding field in the target system. For example:
  
  A source field might be defined as a string (CHAR) while the target field is defined as an integer (INT).
  A date field in the source might be in a different format than what the target expects.
  
  Solution:
  To resolve this error, you can take the following steps:
  
  
  Check Data Mapping:
  
  Review the mapping configuration between the source and target fields. Ensure that the data types are compatible.
  If necessary, adjust the mapping to ensure that the source field's data type matches the target field's data type.
  
  
  
  Data Type Conversion:
  
  If the data types are inherently different, consider implementing a conversion logic. For example, if you are migrating a string to an integer, you may need to ensure that the string can be converted to an integer without errors.
  
  
  
  Adjust Field Definitions:
  
  If possible, modify the target field's definition to match the source field's data type. This may involve changing the data type in the target system to accommodate the incoming data.
  
  
  
  Data Cleansing:
  
  Ensure that the data in the source system is clean and adheres to the expected formats. For example, if a date is expected, ensure that all entries in the source field are valid dates.
  
  
  
  Testing:
  
  After making the necessary adjustments, perform a test migration with a small dataset to verify that the changes resolve the issue.
  
  
  
  Consult Documentation:
  
  Refer to SAP documentation or the specific migration tool's guidelines for any additional requirements or constraints regarding data types.
  
  
  
  Related Information:
  
  SAP Notes: Check for any relevant SAP Notes that might provide additional insights or solutions for this specific error.
  Data Migration Cockpit (DMC): Familiarize yourself with the DMC and its capabilities, as it provides tools for data mapping and transformation.
  Data Types in SAP: Understanding the various data types used in SAP (e.g., CHAR, NUMC, DATS) can help in troubleshooting and resolving data type mismatches.
  
  By following these steps, you should be able to identify the cause of the error and implement a solution to successfully complete the data migration process.