How To Fix UJX_ERROR003 - Invalid value &1 at offset &2 expecting &3 for data type &4

SAP Error Message - Details

• Message type: E = Error

• Message class: UJX_ERROR - Error Message for UJX

• Message number: 003

• Message text: Invalid value &1 at offset &2 expecting &3 for data type &4

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.

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Smart SAP Assistant

• What is the cause and solution for SAP error message UJX_ERROR003 - Invalid value &1 at offset &2 expecting &3 for data type &4 ?

  The SAP error message UJX_ERROR003 typically indicates that there is an issue with the data being processed, specifically that an invalid value has been encountered at a certain offset in the data stream. This error is often related to data extraction or data loading processes, particularly when dealing with data types that have specific formatting or value constraints.
  Cause:
  
  Invalid Data Format: The value at the specified offset does not conform to the expected format for the specified data type. For example, if the data type is numeric, but the value is alphanumeric, this error will occur.
  Data Type Mismatch: The data being processed does not match the expected data type. For instance, if the system expects a date but receives a string that cannot be parsed as a date.
  Corrupted Data: The data being processed may be corrupted or improperly formatted, leading to unexpected values at certain offsets.
  Incorrect Mapping: If there is a mapping issue in the data transformation process, it can lead to invalid values being passed to the target system.
  
  Solution:
  
  Check Data Source: Review the source data to ensure that it is correctly formatted and that all values conform to the expected data types.
  Validate Data Types: Ensure that the data types defined in the target system match the data being loaded. This includes checking for numeric, string, date, and other data types.
  Data Cleansing: Implement data cleansing processes to correct any invalid values before they are processed. This may involve removing or correcting corrupted data.
  Review Mapping Configurations: If you are using a data transformation tool, check the mapping configurations to ensure that the correct data types are being used and that there are no mismatches.
  Debugging: Use debugging tools to trace the data flow and identify where the invalid value is being introduced. This can help pinpoint the exact location of the issue.
  
  Related Information:
  
  SAP Documentation: Refer to SAP's official documentation for more details on data types and error handling.
  Data Validation Tools: Consider using data validation tools or scripts to automate the process of checking data integrity before loading it into SAP.
  Community Forums: Engage with SAP community forums or support channels for additional insights and solutions from other users who may have encountered similar issues.
  
  By addressing the root cause of the invalid value and ensuring that the data conforms to the expected formats and types, you can resolve the UJX_ERROR003 error effectively.