CNV343 - Table &1, non-transparent field &2, DDIC field &3

SAP Error Message - Details

• Message type: E = Error

• Message class: CNV - Conversion: Messages for Conversion Services (CNCC)

• Message number: 343

• Message text: Table &1, non-transparent field &2, DDIC field &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.

AnswerBot

• What is the cause and solution for SAP error message CNV343 - Table &1, non-transparent field &2, DDIC field &3 ?

  The SAP error message CNV343 typically relates to issues encountered during data migration or conversion processes, particularly when dealing with non-transparent fields in database tables. Here’s a breakdown of the cause, potential solutions, and related information for this error message:
  Cause:
  
  Non-Transparent Fields: The error indicates that there is a non-transparent field in the specified table (&1) that is causing issues. Non-transparent fields are those that do not have a direct mapping to a database column, often due to being part of a structure or a complex data type.
  Data Dictionary (DDIC) Issues: The error message references a Data Dictionary field (&3) that is likely not compatible with the non-transparent field (&2). This can occur if the data structure has changed or if there are inconsistencies in the data model.
  Data Migration Process: The error often arises during data migration activities, such as using the SAP S/4HANA Migration Cockpit or other data transfer tools, where the system expects certain field types or structures.
  
  Solution:
  
  Check Field Definitions: Review the definitions of the non-transparent field and the corresponding DDIC field. Ensure that they are compatible and that the data types match.
  Adjust Data Mapping: If you are using a migration tool, check the mapping configuration. You may need to adjust the mapping to ensure that non-transparent fields are handled correctly.
  Modify Data Structure: If possible, consider modifying the data structure to avoid using non-transparent fields, or create a transparent field that can be used instead.
  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 non-transparent fields.
  Use Transaction Codes: Utilize transaction codes like SE11 (Data Dictionary) to analyze the table structure and field definitions. This can help identify discrepancies.
  Seek Support: If the issue persists, consider reaching out to SAP support or consulting with an SAP expert who can provide more tailored assistance based on your specific scenario.
  
  Related Information:
  
  SAP Notes: Check for any relevant SAP Notes that may address this specific error or provide additional context on handling non-transparent fields.
  Migration Tools: Familiarize yourself with the tools you are using for data migration, as they often have specific requirements and configurations for handling different field types.
  Data Dictionary (DDIC): Understanding the SAP Data Dictionary and how it manages data structures can be beneficial in troubleshooting these types of errors.
  
  By following these steps, you should be able to identify the root cause of the CNV343 error and implement a suitable solution.