How To Fix RSL_UI345 - Uncaught conversion error for value &1 at row &2 of column &3

SAP Error Message - Details

• Message type: E = Error

• Message class: RSL_UI -

• Message number: 345

• Message text: Uncaught conversion error for value &1 at row &2 of column &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.

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Smart SAP Assistant

• What is the cause and solution for SAP error message RSL_UI345 - Uncaught conversion error for value &1 at row &2 of column &3 ?

  The SAP error message RSL_UI345 indicates that there is an uncaught conversion error for a specific value in a data table. This error typically occurs when there is an issue with data type conversion, such as trying to convert a string to a number or a date format that is not compatible with the expected format in the SAP system.
  Cause:
  
  Data Type Mismatch: The value in the specified row and column does not match the expected data type. For example, if a numeric field is expecting a number but receives a string or a special character.
  Invalid Data Format: The data might be in an incorrect format, such as a date being in MM/DD/YYYY format when the system expects DD/MM/YYYY.
  Null or Empty Values: Sometimes, null or empty values can cause conversion errors if the system does not handle them properly.
  Localization Issues: Different locales may have different formats for numbers, dates, etc., which can lead to conversion errors if the data is not formatted correctly for the user's locale.
  
  Solution:
  
  Check Data Types: Review the data in the specified row and column to ensure that it matches the expected data type. For example, if the column expects a numeric value, ensure that the data does not contain any non-numeric characters.
  Validate Data Format: Ensure that the data is in the correct format. For dates, check that they are in the expected format (e.g., YYYY-MM-DD).
  Handle Null Values: If there are null or empty values, ensure that the system can handle them appropriately. You may need to provide default values or modify the logic to handle such cases.
  Data Cleansing: If the data is coming from an external source, consider implementing data cleansing processes to ensure that the data is valid before it is processed by the SAP system.
  Debugging: If you have access to debugging tools, you can trace the error to see exactly where the conversion is failing and what the problematic value is.
  
  Related Information:
  
  SAP Notes: Check SAP Notes for any known issues related to this error message. SAP frequently updates its knowledge base with solutions and workarounds for common errors.
  Transaction Codes: Use transaction codes like SE11 (Data Dictionary) to check the structure of the table and the expected data types.
  User Exits and BAdIs: If the error occurs during a custom development or enhancement, review any user exits or BAdIs that might be affecting data processing.
  Testing: After making changes, conduct thorough testing to ensure that the issue is resolved and that no new issues have been introduced.
  
  If the problem persists after trying the above solutions, consider reaching out to your SAP support team or consulting with an SAP expert for further assistance.