How To Fix CNV_DMC_MD_EXTRACTOR017 - The length of field &1-&2 is missing

SAP Error Message - Details

• Message type: E = Error

• Message class: CNV_DMC_MD_EXTRACTOR - meta data extractor message class

• Message number: 017

• Message text: The length of field &1-&2 is missing

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.

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Smart SAP Assistant

• What is the cause and solution for SAP error message CNV_DMC_MD_EXTRACTOR017 - The length of field &1-&2 is missing ?

  The SAP error message CNV_DMC_MD_EXTRACTOR017 indicates that there is a problem with the length of a field in the data extraction process, specifically that the length of a field is missing. This error typically occurs during data migration or extraction processes, particularly when using the SAP Data Migration Cockpit (DMC) or similar tools.
  Cause:
  
  Field Definition Issues: The field in question may not have a defined length in the source system or in the mapping configuration.
  Data Model Mismatch: There may be a mismatch between the source data model and the target data model, leading to undefined lengths for certain fields.
  Configuration Errors: Incorrect configuration in the data extraction or transformation settings can lead to missing field lengths.
  Data Source Issues: The source data might be incomplete or improperly structured, causing the extraction process to fail.
  
  Solution:
  
  Check Field Definitions: Verify the field definitions in both the source and target systems. Ensure that all fields have defined lengths.
  Review Mapping Configuration: Go through the mapping configuration in the DMC or the relevant tool you are using. Make sure that all fields are correctly mapped and that their lengths are specified.
  Adjust Data Model: If there is a mismatch in the data models, you may need to adjust the data model in the target system to accommodate the source data.
  Data Quality Check: Perform a data quality check on the source data to ensure that it is complete and correctly structured.
  Consult Documentation: Refer to the SAP documentation for the specific data migration tool you are using to understand the requirements for field definitions and lengths.
  Error Logs: Check the error logs for more detailed information about which specific field is causing the issue. This can help you pinpoint the problem more accurately.
  
  Related Information:
  
  SAP Notes: Look for relevant SAP Notes that might address this specific error or provide additional troubleshooting steps.
  SAP Community: Engage with the SAP Community forums to see if other users have encountered similar issues and what solutions they found effective.
  Data Migration Cockpit Documentation: Review the official SAP documentation for the Data Migration Cockpit for best practices and guidelines on field definitions and data extraction processes.
  
  By following these steps, you should be able to identify the cause of the error and implement a solution to resolve it.